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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.699200</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Surgical Approach on Surgical Resection Quality in Mid- and Low Rectal Cancer, A Bayesian Network Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xiaojie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Zhifang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Qian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ghareeb</surname>
<given-names>Waleed M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1314699"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Xingrong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/678909"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Shenghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Shuangming</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chi</surname>
<given-names>Pan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/940254"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Colorectal Surgery, Union Hospital, Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pathology, Union Hospital, Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Gastrointestinal and Anal Surgery, Longyan First Hospital, Affiliated to Fujian Medical University</institution>, <addr-line>Longyan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ren Zhao, Shanghai Jiao Tong University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Giulio Aniello Santoro, Ospedale di Treviso, Italy; Marco Massani, ULSS2 Marca Trevigiana, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Pan Chi, <email xlink:href="mailto:chipan363@163.com">chipan363@163.com</email>; Ying Huang, <email xlink:href="mailto:hy9033sy@sina.com">hy9033sy@sina.com</email>; Xiaojie Wang, <email xlink:href="mailto:xjwang363@163.com">xjwang363@163.com</email>; Shuangming Lin, <email xlink:href="mailto:linsm22@126.com">linsm22@126.com</email></p>
</fn>
<fn fn-type="equal" id="fn002">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn003">
<p>This article was submitted to Surgical Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>699200</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Wang, Zheng, Yu, Ghareeb, Lu, Huang, Huang, Lin and Chi</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wang, Zheng, Yu, Ghareeb, Lu, Huang, Huang, Lin and Chi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Aim</title>
<p>To evaluate the evidence concerning the quality of surgical resection in laparoscopic (LapTME), robotic (RobTME) and transanal (TaTME) total mesorectal excision for mid-/low rectal cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic literature search of the PubMed, EMBASE and Cochrane Central Register of Controlled Trials databases was performed. A Bayesian network meta-analysis was utilized to compare surgical resection involved in these 3 surgical techniques by using ADDIS software. Rates of positive circumferential resection margins (CRMs) were the primary endpoint.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 34 articles, 2 randomized clinical trials (RCTs) and 32 non-RCTs, were included in this meta-analysis. Pooled data showed CRM positivity in 114 of 1763 LapTME procedures (6.5%), 54 of 1051 RobTME procedures (5.1%) and 60 of 1276 TaTME procedures (4.7%). There was no statistically significant difference among these 3 surgical approaches in terms of CRM involvement rates and all other surgical resection quality outcomes. The incomplete mesorectal excision rates were 9.6% (69/720) in the LapTME group, 1.9% (11/584) in the RobTME group and 5.6% (45/797) in the TaTME group. Pooled network analysis observed a higher but not statistically significant risk of incomplete mesorectum when comparing both LapTME with RobTME (OR = 1.99; 95% CI = 0.48-11.17) and LapTME with TaTME (OR = 1.90; 95% CI = 0.99-5.25). By comparison, RobTME was most likely to be ranked the best or second best in terms of CRM involvement, complete mesorectal excision, rate of distal resection margin (DRM) involvement and length of DRMs. In addition, RobTME achieved a greater mean tumor distance to the CRM than TaTME. It is worth noting that TaTME was most likely to be ranked the worst in terms of CRM involvement for intersphincteric resection of low rectal cancer.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Overall, RobTME was most likely to be ranked the best in terms of the quality of surgical resection for the treatment of mid-/low rectal cancer. TaTME should be performed with caution in the treatment of low rectal cancer. </p>
</sec>
</abstract>
<kwd-group>
<kwd>robotic</kwd>
<kwd>transanal</kwd>
<kwd>laparoscopic</kwd>
<kwd>rectal cancer</kwd>
<kwd>quality of surgical resection</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="76"/>
<page-count count="15"/>
<word-count count="8329"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Total mesorectal excision (TME) remains the leading surgical approach in the treatment of patients with mid- and low rectal cancer (<xref ref-type="bibr" rid="B1">1</xref>). The feasibility of laparoscopic TME (LapTME) has been assessed in several studies and has been widely practiced as an alternative to open surgery in the treatment of mid-/low rectal cancer. This procedure has been found to be oncologically safe and associated with minimally invasive advantages, such as less pain, a shorter hospitalization time, and faster bowel function return (<xref ref-type="bibr" rid="B2">2</xref>). However, achieving high-quality TME dissection still might be technically demanding even by experts, especially for tumors in the lower two-thirds of the rectum or for bulky tumors in a narrow, irradiated deep pelvis during laparoscopic operations. The innate limitations associated with laparoscopic TME include the use of rigid instruments, the limited range of motion, the loss of dexterity, fixed trocar positions and the limited view in the narrow, deep pelvic cavity. Two randomized studies [ALaCaRT trial (<xref ref-type="bibr" rid="B3">3</xref>) and ACOSOG Z6051 trial (<xref ref-type="bibr" rid="B4">4</xref>)] on laparoscopic and open surgeries for the treatment of rectal cancer raised concerns regarding the quality of oncological resection, highlighting the risk of positive circumferential resection margins (CRMs) and incomplete mesorectal excision.</p>
<p>The introduction of two other minimally invasive surgical approaches, robotic (RobTME) and transanal total mesorectal excision (TaTME), for mid-/low rectal cancer surgical treatment has appeared to overcome some of the technical difficulties of laparoscopy (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). The robotic system provides greater maneuverability by enabling surgeons to control wrist motion during the use of endoscopic instruments with high-definition three-dimensional steady vision. The transanal approach to TME was also developed with the aim of improving distal mesorectal dissection, which is the most technically challenging part of transabdominal LapTME, by improving visibility and access to the dissection planes deep in the lower pelvic cavity.</p>
<p>To date, two network meta-analyses comparing these 3 surgical techniques in rectal cancer have been published (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). However, the results were conflicting in terms of the quality of surgical resection, which was measured using CRMs, mesorectal quality, and distal resection margins (DRMs) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The first network meta-analysis performed by Simillis et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) demonstrated a decreased rate of positive CRMs in TaTME compared to LapTME, which was in contrast with the results of the second network meta-analysis by Rausa et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>) To our knowledge, no prior studies have compared the quality of surgical resection of these three surgical approaches for mid-/low rectal cancer treatment. Therefore, we performed an updated network meta-analysis of the latest and most convincing evidence to evaluate the quality of surgical resection of these 3 minimally invasive surgical techniques for mid-/low rectal cancer.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Data Sources and Searches</title>
<p>The present study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines (<xref ref-type="bibr" rid="B11">11</xref>). A systematic literature search of the PubMed, EMBASE and Cochrane Central Register of Controlled Trials databases was performed up to June 2019. The ClinicalTrials.gov registry (<uri xlink:href="https://clinicaltrials.gov/">https://clinicaltrials.gov/</uri>) was also considered. Specific research equations were formulated for each database using the following search terms: rectal cancer, rectal carcinoma, surgery, total mesorectal excision, laparoscopy, laparoscopic surgery, transanal total mesorectal excision, TaTME, and robotic surgery. Moreover, the references cited in relevant review articles were cross-checked to identify additional studies.</p>
</sec>
<sec id="s2_2">
<title>Inclusion and Exclusion Criteria</title>
<p>We evaluated the checked studies against the following criteria:</p>
<list list-type="order">
<list-item>
<p>Population: patients with mid-/low rectal cancer.</p>
</list-item>
<list-item>
<p>Intervention: TME.</p>
</list-item>
<list-item>
<p>Comparator: at least two of the methods for the treatment of mid-/low rectal cancer (LapTME, RobTME, and TaTME) were compared.</p>
</list-item>
<list-item>
<p>Outcome measure: pathological outcomes.</p>
</list-item>
<list-item>
<p>Study design: randomized clinical trials (RCTs) or nonrandomized comparative studies (non-RCTs).</p>
</list-item>
</list>
<p>All reviews, comments, case reports, and expert opinions were excluded. Duplicates were excluded.</p>
</sec>
<sec id="s2_3">
<title>Data Extraction and Quality Assessment</title>
<p>The details of the included studies were extracted from the electronic databases independently by two investigators. Disagreements were resolved by joint review of the studies to reach consensus. The following data were obtained: characteristics of the studies, such as first author name, publication year, study time, surgical treatments, and number of each intervention; demographic characteristics of the participants; and details of the pathological outcomes, including CRM involvement, tumor distance to the CRM, length of DRMs, positive DRMs, mesorectal quality (complete, near complete and incomplete mesorectum), and harvested lymph nodes. The quality of the studies included in this systematic review was assessed independently by the same reviewers with Jadad scores (<xref ref-type="bibr" rid="B12">12</xref>) for RCTs and the Newcastle-Ottawa Scale (NOS) (<xref ref-type="bibr" rid="B13">13</xref>) for nonrandomized comparative studies.</p>
</sec>
<sec id="s2_4">
<title>Outcomes</title>
<p>The rate of positive CRMs was the primary endpoint, and tumor distance to the CRM, length of DRMs, positive DRM rate, mesorectal quality (complete, near complete and incomplete mesorectum) and harvested lymph nodes were the secondary endpoints. A positive CRM was defined when the tumor was located 1&#xa0;mm or less from the CRM (<xref ref-type="bibr" rid="B14">14</xref>). The quality of mesorectal excision was evaluated using the Quirke classification (<xref ref-type="bibr" rid="B9">9</xref>). Specifically, a complete mesorectum was defined as an intact mesorectum with only minor irregularities of a smooth mesorectal surface. No defect is deeper than 5&#xa0;mm. Nearly complete mesorectum was defined as moderate bulk to the mesorectum, but at no site is the muscularis propria visible. Incomplete mesorectum was defined as little bulk to mesorectum with defects down onto muscularis propria (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
<sec id="s2_5">
<title>Statistical Analysis</title>
<p>We calculated the odds ratio (OR) and weighted mean difference (WMD) with a 95% confidence interval (CI) for dichotomous and continuous variables. If studies only reported median values or range values, the original data were transformed into forms suitable for meta-analysis using the algorithms proposed by Hozo et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) We performed the multi-treatment network meta-analysis within a Bayesian framework with the Markov Chain Monte Carlo simulation. All data were calculated by using the Aggregate Data Drug Information System (ADDIS) v1.0 and STATA (version 15.0; StataCorp, College Station, TX). The parameters for the network meta-analysis in the ADDIS were as follows: the number of chains, 4; tuning iterations, 20,000; simulation iterations, 50,000; thinning interval, 10; inference samples, 10,000; and variance scaling factor, 2.5. The convergence of the model was judged by the potential scale reduction factor (PSRF) (<xref ref-type="bibr" rid="B16">16</xref>); a PSRF closer to 1 indicated better convergence.</p>
<p>Traditional pairwise meta-analysis of direct comparisons was performed using STATA. Statistical heterogeneity between studies was assessed with I<sup>2</sup> statistics. Values of I<sup>2</sup> above 25% and lower than 25% were regarded as heterogeneity and no heterogeneity, respectively (<xref ref-type="bibr" rid="B17">17</xref>). A random-effects model was used to incorporate direct data into a single comparison if heterogeneity existed (I<sup>2</sup> &gt; 25%). A fixed-effects model was used for variables with I<sup>2</sup> values lower than 25%.</p>
<p>For the closed-loop comparisons, the consistency test between direct comparisons and indirect estimated comparisons was judged using node-splitting analysis. A consistency model was used when the P value &gt;0.05 in the node-splitting analysis; otherwise, the inconsistency model was used (<xref ref-type="bibr" rid="B18">18</xref>). Finally, ranking probabilities were calculated for the results of each treatment under different endpoints to provide the basis for alternative selection.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Identification of Studies</title>
<p>The results of the literature search identified 2878 articles for initial screening based on the titles. Among them, 1094 articles were imported for detailed information based on the abstracts. Of these, 58 articles were retrieved for full-text review, and among them, 24 studies were excluded based on the selection criteria. Finally, we included 34 relevant articles that were reviewed for meta-analysis (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). There were 2 RCTs and 32 nRCTs. A flow chart for the literature search and study selection is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart for the literature search and study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-699200-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Characteristics of the Included Studies</title>
<p>The characteristics of the included studies are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Of the included studies, 26 of 32 (80%) non-RCTs were of high quality (NOS score &#x2265; 7), and the other 2 RCTs were of medium quality (Jadad score = 3). In total, 4429 patients with mid-/low rectal cancer were included in the study: 1856 patients in the LapTME group, 1211 patients in the RobTME group, and 1362 patients in the TaTME group. Among them, there were more male (68.1%) than female patients (31.9%). The mean age varied from 54 to 70 years, and the mean body mass index (BMI) ranged from 21.4 kg/m<sup>2</sup> to 29.0 kg/m<sup>2</sup>. The mean tumor distance from anal verge varied from 1.5 to 8.0&#xa0;cm. Studies by JS Park et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>), Kuo et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>), SY Park et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>) and Kanso et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>) included only low rectal cancer patients who underwent intersphincteric resection (ISR). The connection between each surgical approach was analyzed, and each square reflecting the surgical approach and two squares linked together by an edge showed the number of studies comparing the two corresponding surgical techniques directly (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Study</th>
<th valign="top" rowspan="2" align="center">Year</th>
<th valign="top" rowspan="2" align="center">Study year</th>
<th valign="top" rowspan="2" align="center">Study design</th>
<th valign="top" colspan="3" align="center">Group</th>
<th valign="top" colspan="6" align="center">Gender (male, %)</th>
<th valign="top" colspan="3" align="center">Mean age</th>
<th valign="top" colspan="3" align="center">Mean BMI</th>
<th valign="top" colspan="3" align="center">Tumor distance from anal verge (cm)</th>
<th valign="top" colspan="6" align="center">CRT (n, %)</th>
<th valign="top" rowspan="2" align="center">Quality score&amp;</th>
</tr>
<tr>
<th valign="top" align="center">Lap</th>
<th valign="top" align="center">Rob</th>
<th valign="top" align="center">Ta</th>
<th valign="top" colspan="2" align="center">Lap</th>
<th valign="top" colspan="2" align="center">Rob</th>
<th valign="top" colspan="2" align="center">Ta</th>
<th valign="top" align="center">Lap</th>
<th valign="top" align="center">Rob</th>
<th valign="top" align="center">Ta</th>
<th valign="top" align="center">Lap</th>
<th valign="top" align="center">Rob</th>
<th valign="top" align="center">Ta</th>
<th valign="top" align="center">Lap</th>
<th valign="top" align="center">Rob</th>
<th valign="top" align="center">Ta</th>
<th valign="top" colspan="2" align="center">Lap</th>
<th valign="top" colspan="2" align="center">Rob</th>
<th valign="top" colspan="2" align="center">Ta</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bianchi (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="center">2008-2009</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">62.0</td>
<td valign="top" align="center">69.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.5</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">10</td>
<td valign="top" align="center">(40%)</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">(52%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Baek (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">2007-2010</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">(66%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">61.8</td>
<td valign="top" align="center">58.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23.4</td>
<td valign="top" align="center">23.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">12</td>
<td valign="top" align="center">(32%)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">(43%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">SY Park (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">2008-2011</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25</td>
<td valign="top" align="center">(63%)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(70%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">63.6</td>
<td valign="top" align="center">57.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.3</td>
<td valign="top" align="center">23.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">20</td>
<td valign="top" align="center">(50%)</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">(80%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Kuo (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">2009-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">(61%)</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">(58%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">54.9</td>
<td valign="top" align="center">55.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(78%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Denost (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">2008-2012</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center"/>
<td valign="top" align="center">50</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">(64%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">37</td>
<td valign="top" align="center">(74%)</td>
<td valign="top" align="center">63.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.0</td>
<td valign="top" align="center">25.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.1</td>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">(88%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">40</td>
<td valign="top" align="center">(80%)</td>
<td valign="top" align="center">3#</td>
</tr>
<tr>
<td valign="top" align="left">Velthuis (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">2012-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center">65.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.0</td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">27.0</td>
<td valign="top" align="center">6.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">25</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">JS Park (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2008-2011</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center"/>
<td valign="top" align="center">71</td>
<td valign="top" align="center">(67%)</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">(71%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">61.7</td>
<td valign="top" align="center">59.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23.8</td>
<td valign="top" align="center">24.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center"/>
<td valign="top" align="center">60</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">(64%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Serin (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2005-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center"/>
<td valign="top" align="center">65</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">57.0</td>
<td valign="top" align="center">54.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center">24.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">65</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Yoo (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2006-2011</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center"/>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(73%)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">(80%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">60.5</td>
<td valign="top" align="center">59.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21.4</td>
<td valign="top" align="center">24.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(27%)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">(55%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2013-2015</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center"/>
<td valign="top" align="center">50</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">38</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center">58.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">57.3</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.2</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.8</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">50</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">De&#x2019;Angelis (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2008-2014</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center"/>
<td valign="top" align="center">32</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">(66%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">21</td>
<td valign="top" align="center">(66%)</td>
<td valign="top" align="center">67.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.9</td>
<td valign="top" align="center">24.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.1</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">27</td>
<td valign="top" align="center">(84%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Fernandez-Hevia (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2011-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center"/>
<td valign="top" align="center">37</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">(59%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">(65%)</td>
<td valign="top" align="center">69.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.5</td>
<td valign="top" align="center">25.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23.7</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">27</td>
<td valign="top" align="center">(73%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Kanso (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2005-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center"/>
<td valign="top" align="center">51</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">36</td>
<td valign="top" align="center">(71%)</td>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(82%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">43</td>
<td valign="top" align="center">(84%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">2013-2015</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(76%)</td>
<td valign="top" align="center">70.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">70.0</td>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28.0</td>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">(16%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(28%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Bedirli (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2013-2015</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center"/>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">(69%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">60.4</td>
<td valign="top" align="center">64.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23.2</td>
<td valign="top" align="center">24.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Feroci (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2004-2014</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center"/>
<td valign="top" align="center">42</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">(51%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">66.0</td>
<td valign="top" align="center">66.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25</td>
<td valign="top" align="center">(43%)</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">(49%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Law (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2008-2015</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">171</td>
<td valign="top" align="center">220</td>
<td valign="top" align="center"/>
<td valign="top" align="center">97</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">(67%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">67.0</td>
<td valign="top" align="center">65.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center">24.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center">7.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">50</td>
<td valign="top" align="center">(29%)</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">(41%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Lim (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2006-2010</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center"/>
<td valign="top" align="center">46</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">65.8</td>
<td valign="top" align="center">65.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">22.7</td>
<td valign="top" align="center">23.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">(100%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Chouillard (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2011-2014</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center"/>
<td valign="top" align="center">18</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(47%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">(33%)</td>
<td valign="top" align="center">57.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">55.4</td>
<td valign="top" align="center">29.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">27.1</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">(80%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(78%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Lelong (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2008-2013</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center"/>
<td valign="top" align="center">34</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">(58%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">23</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">24.2</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">35</td>
<td valign="top" align="center">(92%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">30</td>
<td valign="top" align="center">(88%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Marks (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2012-2014</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center">25.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.4</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Rasulov (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2013-2016</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center"/>
<td valign="top" align="center">22</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(61%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">11</td>
<td valign="top" align="center">(50%)</td>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">56.0</td>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center">7.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(83%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(86%)</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Kim (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">2012-2015</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center"/>
<td valign="top" align="center">52</td>
<td valign="top" align="center">(63%)</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">(61%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">59.7</td>
<td valign="top" align="center">60.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23.6</td>
<td valign="top" align="center">24.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">58</td>
<td valign="top" align="center">(79%)</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">(77%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3#</td>
</tr>
<tr>
<td valign="top" align="left">Perez (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">2013-2016</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center"/>
<td valign="top" align="center">60</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">44</td>
<td valign="top" align="center">(73%)</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">(73%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.8</td>
<td valign="top" align="center">24.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">42</td>
<td valign="top" align="center">(70%)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">(64%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Chang (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">2014-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">13</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center">62.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">62.4</td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.8</td>
<td valign="top" align="center">5.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(61%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">8</td>
<td valign="top" align="center">(35%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood2 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">2015-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center"/>
<td valign="top" align="center">100</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">(69%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">72</td>
<td valign="top" align="center">(72%)</td>
<td valign="top" align="center">66.9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">67.3</td>
<td valign="top" align="center">25.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.7</td>
<td valign="top" align="center">7.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">(27%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(18%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Lee (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2011-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center"/>
<td valign="top" align="center">370</td>
<td valign="top" align="center">226</td>
<td valign="top" align="center" style="background-color:#ffffff"/>
<td valign="top" align="center"/>
<td valign="top" align="center" style="background-color:#ffffff">235</td>
<td valign="top" align="center">(64%)</td>
<td valign="top" align="center" style="background-color:#ffffff">142</td>
<td valign="top" align="center">(63%)</td>
<td valign="top" align="center" style="background-color:#ffffff"/>
<td valign="top" align="center" style="background-color:#ffffff">62.5</td>
<td valign="top" align="center" style="background-color:#ffffff">62.1</td>
<td valign="top" align="center" style="background-color:#ffffff"/>
<td valign="top" align="center" style="background-color:#ffffff">25.8</td>
<td valign="top" align="center" style="background-color:#ffffff">26.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">256</td>
<td valign="top" align="center">(69%)</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">(71%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Seow-En (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2012-2015</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(67%)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">(50%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">7.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(33%)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">(33%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Mege (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2014-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center"/>
<td valign="top" align="center">34</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">23</td>
<td valign="top" align="center">(68%)</td>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">58.0</td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center">2.2*</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.3*</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">(85%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">29</td>
<td valign="top" align="center">(85%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Persiani (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2007-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center"/>
<td valign="top" align="center">46</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">(67%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">30</td>
<td valign="top" align="center">(65%)</td>
<td valign="top" align="center">66.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">69.0</td>
<td valign="top" align="center">25.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center">6.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">(93%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">26</td>
<td valign="top" align="center">(57%)</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Roodbeen (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2006-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center"/>
<td valign="top" align="center">41</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">(78%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">34</td>
<td valign="top" align="center">(83%)</td>
<td valign="top" align="center">66.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">62.5</td>
<td valign="top" align="center">26.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(44%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">16</td>
<td valign="top" align="center">(39%)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Rubinkiewicz (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2012-2018</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center"/>
<td valign="top" align="center">35</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">(69%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">(69%)</td>
<td valign="top" align="center">60.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.3</td>
<td valign="top" align="center">27.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">26.1</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.9</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">(89%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">31</td>
<td valign="top" align="center">(89%)</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Chen2 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2008-2018</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center"/>
<td valign="top" align="center">39</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">(66%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">29</td>
<td valign="top" align="center">(74%)</td>
<td valign="top" align="center">64.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">62.0</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.4</td>
<td valign="top" align="center">5.8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">(48%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">(38%)</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Detering (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2015-2017</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="center">396</td>
<td valign="top" align="center"/>
<td valign="top" align="center">396</td>
<td valign="top" align="center">281</td>
<td valign="top" align="center">(71%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">288</td>
<td valign="top" align="center">(73%)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">156</td>
<td valign="top" align="center">(39%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">135</td>
<td valign="top" align="center">(34%)</td>
<td valign="top" align="center">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Distance to external sphincter; &amp;Evaluated by Newcastle-Ottawa Scale; #Evaluated by Jadad score; BMI, body mass index; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Network diagrams of the eligible studies. <bold>(A)</bold> CRM involvement; <bold>(B)</bold> CRM involvement for ISR; <bold>(C)</bold> Complete mesorectum; <bold>(D)</bold> Near complete mesorectum; <bold>(E)</bold> Incomplete mesorectum; <bold>(F)</bold> DRM involvement; <bold>(G)</bold> Tumor distance to the CRM; <bold>(H)</bold> DRM distance; <bold>(I)</bold> Harvested lymph nodes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-699200-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Definition of Mid-/Low Rectal Cancer</title>
<p>The most commonly used definition of mid-/low rectal cancer was the rectal adenocarcinomas with the inferior margins located within 10&#xa0;cm of the anal verge. The second commonly used definition was the tumor located within 12&#xa0;cm of the anal verge. For the definition of low rectal cancer, 4 studies defined low rectal cancer as a tumor located within 5&#xa0;cm of the anal verge, while 2 studies defined low rectal cancer as a tumor located up to 6&#xa0;cm from the anal verge. In addition to the commonly used anatomical marker of anal verge, two studies by Chouillard (<xref ref-type="bibr" rid="B36">36</xref>) and Velthuis (<xref ref-type="bibr" rid="B23">23</xref>) used the dentate line as a measuring mark to define tumor distance. Rigid proctoscopy/sigmoidoscopy was the technique most commonly used to measure the tumor distance, while Persiani et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>) used MRI to evaluate the distance between the distal end of the tumor and the anorectal junction (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Definition of mid-/low rectal cancer in included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Definition of mid- and low rectal cancer</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bianchi (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">&#x2264; 12&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Baek (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">SY Park (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Kuo (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Denost (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Low rectal cancer: &lt; 6&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Velthuis (<xref ref-type="bibr" rid="B23">23</xref>)&#xa0;</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Low rectal cancer: 0-5&#xa0;cm from the dentate line; mid rectal cancer: 5-10&#xa0;cm from the dentate line</td>
</tr>
<tr>
<td valign="top" align="left">JS Park (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Low rectal cancer: &#x2264; 4&#xa0;cm of the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Serin (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">&#x2264;10 cm from the anal verge, measured by rigid sigmoidoscope</td>
</tr>
<tr>
<td valign="top" align="left">Yoo (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">&#x2264; 5&#xa0;cm from the anal verge, measured by digital rectal examination and/or rigid sigmoidoscopy</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">De&#x2019;Angelis (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Low rectal cancer: &#x2264; 5&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Fernandez-Hevia (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">&#x2264; 10&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Kanso (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">&#x2264; 10&#xa0;cm from the anal verge, measured by rigid proctoscopy</td>
</tr>
<tr>
<td valign="top" align="left">Bedirli (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">Middle and lower 2/3 of rectum</td>
</tr>
<tr>
<td valign="top" align="left">Feroci (<xref ref-type="bibr" rid="B33">33</xref>)&#xa0;</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">&#x2264; 12&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Law (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">&#x2264; 12&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Lim (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">&#x2264; 12&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Chouillard (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">&#x2264; 7&#xa0;cm from the dentate line</td>
</tr>
<tr>
<td valign="top" align="left">Lelong (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Marks (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Rasulov (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">&#x2264; 10&#xa0;cm from the anal verge, measured by rigid rectoscopy</td>
</tr>
<tr>
<td valign="top" align="left">Kim (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">&#x2264; 9&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Perez (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Low rectal cancer: &lt; 6cm from anal verge; mid rectal cancer: 6-12cm from anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Chang (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Low rectal cancer: &#x2264; 7&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood2 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Lee (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">&#x2264; 10&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Seow-En (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Mege (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Persiani (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Low rectal cancer: 0&#x2013;5 cm; mid rectal cancer: 5.1&#x2013;10 cm, measured by MRI</td>
</tr>
<tr>
<td valign="top" align="left">Roodbeen (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Low rectal cancer: tumor distal border was located distal to the point where the levator ani muscles insert on the pelvic bone on sagittal MRI</td>
</tr>
<tr>
<td valign="top" align="left">Rubinkiewicz (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Low rectal cancer: &lt;5&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Chen2 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">&#x2264; 7&#xa0;cm from the anal verge</td>
</tr>
<tr>
<td valign="top" align="left">Detering (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">&#x2264; 10&#xa0;cm from the anal verge</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Neoadjuvant Treatment</title>
<p>The prevalence of patients who underwent neoadjuvant treatment varied from 16% to 100%. Concomitant radiochemotherapy was employed by the studies examined in this review, except Chen et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) who did not clearly specify whether neoadjuvant chemotherapy or concomitant radiochemotherapy were adopted. Only a small number of patients received chemotherapy alone [1 patients in Roodbeen research (<xref ref-type="bibr" rid="B49">49</xref>) and 32 cases in Bedirli research (<xref ref-type="bibr" rid="B32">32</xref>)]. Induction therapy was not reported in included studies. Although the exact nature of neoadjuvant radiotherapy differed between the included studies, the majority of studies administered long-course preoperative radiochemotherapy (45 to 50.4 Gy delivered over a period of 5 to 6 weeks). Rasulov et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>) reported the use of long-course radiochemotherapy for T3-T4 low rectal cancer, while for other patients short-course preoperative radiochemotherapy (25 Gy) were offered. Serin et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>) employed short-course radiotherapy (25 Gy) for patients without risk of lateral margin positivity. Velthuis et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)&#xa0;also reported the use of 25 Gy pelvic irradiation for low risk patients of T2-3N0-1 tumor (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Neoadjuvant treatment schedules in included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Study</th>
<th valign="top" rowspan="2" align="center">Year</th>
<th valign="top" rowspan="2" align="center">Indication for neoadjuvant treatment</th>
<th valign="top" colspan="4" align="center">Neoadjuvant schedule</th>
</tr>
<tr>
<th valign="top" align="center">Received radiotherapy (yes/no)</th>
<th valign="top" align="center">Radiotherapy schedule</th>
<th valign="top" align="center">Received chemotherapy (yes/no)</th>
<th valign="top" align="center">Chemotherapy schedule</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bianchi (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">Tumor spread to the mesorectum, or N1-2 by MRI or endoscopic ultrasound</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45 Gy in 5 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Capecitabine</td>
</tr>
<tr>
<td valign="top" align="left">Baek (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4Gy, 45 Gy/25 fractions followed by a 5.4Gy boost</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU</td>
</tr>
<tr>
<td valign="top" align="left">SY Park (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50 Gy in 25 fractions for 5 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Kuo (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Denost (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45 Gy in 5 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU and Capecitabine</td>
</tr>
<tr>
<td valign="top" align="left">Velthuis (<xref ref-type="bibr" rid="B23">23</xref>)&#xa0;</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">T2-3N0-1 or T2-3N2</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">T2-3N0-1: 25 Gy in 5 fractions, T2-3N2: 50 Gy in 25 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU</td>
</tr>
<tr>
<td valign="top" align="left">JS Park (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50 Gy in 25 fractions for 5 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Serin (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45&#x2013;50.4 Gy; short-course radiotherapy (25 Gy pelvic irradiation) for patients without risk of lateral margin positivity</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU and leucoverin</td>
</tr>
<tr>
<td valign="top" align="left">Yoo (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">CRM+ or lymph nodes that escaped the TME plane</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.8 Gy in 28 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU based chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Stage II or III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4Gy, 45 Gy/25 fractions followed by a 5.4Gy boost</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">oral 5-FU</td>
</tr>
<tr>
<td valign="top" align="left">De&#x2019;Angelis (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">T3, T4N0, or T1-T4N1-N2</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45&#x2013;50.4 Gy delivered in daily fractions of 1.8-2 Gy for 5-6 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU infusion</td>
</tr>
<tr>
<td valign="top" align="left">Fernandez-Hevia (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">T3, T4N0, or T1-T4N1-N2</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45 Gy/25 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU infusion</td>
</tr>
<tr>
<td valign="top" align="left">Kanso (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50 Gy in 5 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">T3 (&#x2264; 5&#xa0;mm from the tumor to the mesorectal fascia), T4</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4 Gy in 28 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU</td>
</tr>
<tr>
<td valign="top" align="left">Bedirli (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes, 19(54%) in Rob group and 13(46%) in Lap group only had neoadjuvant chemotherapy</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Feroci (<xref ref-type="bibr" rid="B33">33</xref>)&#xa0;</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Law (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">mesorectal margin was at risk (&#x2264; 1&#xa0;mm by MRI)</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45&#x2013;54 Gy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Lim (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4 Gy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU</td>
</tr>
<tr>
<td valign="top" align="left">Chouillard (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">higher than T2, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45-50 Gy in 5-6 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU</td>
</tr>
<tr>
<td valign="top" align="left">Lelong (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">T3, T4, or N+, or some T2 ultralow tumors</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">45-50 Gy in 25 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Capecitabine</td>
</tr>
<tr>
<td valign="top" align="left">Marks (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Rasulov (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">mrT3abN0-1 tumors located 5-10&#xa0;cm from the anal verge or T2N0-1 tumors located &lt;5&#xa0;cm from the anal verge did not receive neoadjuvant therapy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">T3-T4 low rectal cancer: 50 Gy in 25 fractions; others: 25 Gy in 5 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Oral capecitabine</td>
</tr>
<tr>
<td valign="top" align="left">Kim (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4 Gy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU based chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">Perez (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Chang (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">T0-3 N0-1</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Perdawood2 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">T3 (tumor at 5-10&#xa0;cm from the anal verge, &lt; 5&#xa0;mm from the deepest tumor invasion to the mesorectal fascia; below 5&#xa0;cm from the anal verge: all) or T4</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.8 Gy in 28 fractions</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">5-FU based or equivalent chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">Lee (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Long course chemoradiation</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Seow-En (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Mege (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50 Gy in 5 weeks</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Persiani (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Roodbeen (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">NR, decided by multidisciplinary team</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Long course chemoradiation</td>
<td valign="top" align="left">Yes, 1 patients in TaTME group received only chemotherapy</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Rubinkiewicz (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">T3, T4, or N+</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">50.4 Gy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Chen2 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Detering (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NR, including Short Course Radiotherapy-Immediate Surgery, Short Course Radiotherapy-Delayed Surgery, and Long Course Radiotherapy/Chemoradiotherapy</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TaTME, transanal total mesorectal excision; NR, not reported.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Primary Outcomes</title>
<p>The results of traditional pairwise meta-analysis and network meta-analysis are displayed in <xref ref-type="table" rid="T4">
<bold>Tables&#xa0;4</bold>
</xref> and <xref ref-type="table" rid="T5">
<bold>5</bold>
</xref>, respectively. Thirty-two studies reported the rate of CRM involvement. Two of them were excluded due to different CRM definitions. Velthuis et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>) and Yoo et&#xa0;al. (<xref ref-type="bibr" rid="B26">26</xref>) defined CRM involvement as when the tumor was located 2&#xa0;mm or less from the CRM, which might overestimate the CRM positive rate. Finally, 30 studies were included, reporting 4090 patients. Pooled data showed CRM positivity in 114 of 1763 LapTME procedures (6.5%), 54 of 1051 RobTME procedures (5.1%) and 60 of 1276 TaTME procedures (4.7%). According to the consistency test, the consistency model was used to pool the data on positive CRM rates (all the P values &gt; 0.05 in node-splitting analysis). In addition, when the PSRFs ranged from 1.00 to 1.01, good convergence of the model was obtained. Network analysis showed that there was no significant difference among these 3 surgical approaches. The rank plot illustrating the empirical probabilities for each pathological outcome in each surgical approach ranked first through third is depicted in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. The transanal approach had a high probability of being the best treatment, considering that it had the lowest CRM involvement rate. The results from traditional direct pairwise meta-analysis demonstrated no significant difference regarding the CRM involvement rates between LapTME and RobTME (OR=1.312, 95% CI 0.805-2.136, P=0.275) or between LapTME and TaTME (OR=1.476, 95% CI 0.987-2.209, P=0.058). However, subgroup analysis for comparison of the positive CRM rate among types of ISR showed contrasting results. The pooled CRM involvement rate was 9.8% in the TaTME group, which was slightly higher than the rate of 9.0% in the LapTME group and 8.8% in the RobTME group, although this trend did not reach statistical significance. The RobTME group had the highest probability of being the best surgical treatment to obtain free CRMs for low rectal cancer, whereas TaTME ranked the worst.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Results of traditional pair-wise meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Item</th>
<th valign="top" align="center">Comparison</th>
<th valign="top" align="center">I2</th>
<th valign="top" align="center">Model</th>
<th valign="top" colspan="2" align="center">SMD/OR (95%CI)</th>
<th valign="top" align="center"/>
<th valign="top" align="center">Z</th>
<th valign="top" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Involved CRM</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.312</td>
<td valign="top" align="center">0.805</td>
<td valign="top" align="center">2.136</td>
<td valign="top" align="center">1.09</td>
<td valign="top" align="center">0.275</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.476</td>
<td valign="top" align="center">0.987</td>
<td valign="top" align="center">2.209</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.058</td>
</tr>
<tr>
<td valign="top" align="left">Complete mesorectum</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">21.1</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="center">0.411</td>
<td valign="top" align="center">1.831</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">0.709</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">RobTME VS TaTME</td>
<td valign="top" align="center">48.6</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">1.413</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">3.675</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.479</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">56.2</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">0.735</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">1.197</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">0.216</td>
</tr>
<tr>
<td valign="top" align="left">Near complete mesorectum</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.070</td>
<td valign="top" align="center">0.496</td>
<td valign="top" align="center">2.307</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.863</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">0.806</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="center">1.132</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">0.214</td>
</tr>
<tr>
<td valign="top" align="left">Incomplete mesorectum</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">54.8</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">1.612</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">39.911</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">0.770</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">RobTME VS TaTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.180</td>
<td valign="top" align="center">0.432</td>
<td valign="top" align="center">3.223</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.747</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.531</td>
<td valign="top" align="center">0.998</td>
<td valign="top" align="center">2.351</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">0.051</td>
</tr>
<tr>
<td valign="top" align="left">Tumor distance to CRM</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">-0.179</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.863</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">RobTME VS TaTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">0.987</td>
<td valign="top" align="center">0.628</td>
<td valign="top" align="center">1.345</td>
<td valign="top" align="center">5.39</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">90.9</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">-0.461</td>
<td valign="top" align="center">-0.976</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">0.080</td>
</tr>
<tr>
<td valign="top" align="left">Involved DRM</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">2.268</td>
<td valign="top" align="center">0.415</td>
<td valign="top" align="center">12.389</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.344</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">1.392</td>
<td valign="top" align="center">0.616</td>
<td valign="top" align="center">3.149</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.426</td>
</tr>
<tr>
<td valign="top" align="left">DRM distance</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">65.8</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">-0.084</td>
<td valign="top" align="center">-0.279</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.398</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">RobTME VS TaTME</td>
<td valign="top" align="center">97.1</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">0.570</td>
<td valign="top" align="center">-0.886</td>
<td valign="top" align="center">2.026</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.443</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">79.2</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">-0.072</td>
<td valign="top" align="center">-0.333</td>
<td valign="top" align="center">0.189</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.588</td>
</tr>
<tr>
<td valign="top" align="left">Harvested lymph node</td>
<td valign="top" align="left">LapTME VS RobTME</td>
<td valign="top" align="center">76.4</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">-0.090</td>
<td valign="top" align="center">-0.358</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.512</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">RobTME VS TaTME</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Fixed-effect model</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">-0.051</td>
<td valign="top" align="center">0.247</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">0.196</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">LapTME VS TaTME</td>
<td valign="top" align="center">45.3</td>
<td valign="top" align="left">Random effects model</td>
<td valign="top" align="center">-0.131</td>
<td valign="top" align="center">-0.283</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">1.70</td>
<td valign="top" align="center">0.090</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRM, circumferential resection margin; LapTME, laparoscopic total mesorectal excision; RobTME, robotic total mesorectal excision; TaTME, transanal total mesorectal excision; ISR, intersphincteric resection; DRM, distal resection margin.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Results of network meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Compare with LapTME</th>
<th valign="top" align="center">Compare with RobTME</th>
<th valign="top" align="center">Compare with TaTME</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="4" align="left">Involved CRM</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.30 (0.71, 2.35)</td>
<td valign="top" align="center">1.57 (0.98, 2.73)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.77 (0.43, 1.41)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.21 (0.61, 2.63)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.64 (0.37, 1.02)</td>
<td valign="top" align="center">0.83 (0.38, 1.64)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Involved CRM for ISR</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.07 (0.48, 2.55)</td>
<td valign="top" align="center">0.86 (0.15, 3.73)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.94 (0.39, 2.10)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.81 (0.12, 4.61)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">1.16 (0.27, 6.75)</td>
<td valign="top" align="center">1.23 (0.22, 8.21)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Complete mesorectum</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.65 (0.30, 1.35)</td>
<td valign="top" align="center">0.86 (0.53, 1.30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">1.53 (0.74, 3.38)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.34 (0.60, 2.80)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">1.16 (0.77, 1.88)</td>
<td valign="top" align="center">0.75 (0.36, 1.67)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Near complete mesorectum</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.21 (0.50, 2.78)</td>
<td valign="top" align="center">0.85 (0.56, 1.36)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.83 (0.36, 1.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.70 (0.31, 1.79)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">1.17 (0.73, 1.78)</td>
<td valign="top" align="center">1.42 (0.56, 3.21)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Incomplete mesorectum</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.99 (0.48, 11.17)</td>
<td valign="top" align="center">1.90 (0.99, 5.25)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.50 (0.09, 2.07)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.96 (0.22, 4.43)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.53 (0.19, 1.01)</td>
<td valign="top" align="center">1.05 (0.23, 4.54)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Involved DRM</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.75 (0.85, 126.50)</td>
<td valign="top" align="center">1.71 (0.46, 8.68)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.11 (0.01, 1.17)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.20 (0.01, 1.98)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.58 (0.12, 2.19)</td>
<td valign="top" align="center">5.04 (0.50, 76.57)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Tumor distance to CRM</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-1.83 (-4.49, 0.71)</td>
<td valign="top" align="center">-0.33 (-2.17, 1.63)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">1.83 (-0.71, 4.49)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.50 (-1.24, 4.45)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.33 (-1.63, 2.17)</td>
<td valign="top" align="center">-1.50 (-4.45, 1.24)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">DRM distance</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.24 (-0.57, 0.10)</td>
<td valign="top" align="center">-0.08 (-0.39, 0.21)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.24 (-0.10, 0.57)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.15 (-0.24, 0.54)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.08 (-0.21, 0.39)</td>
<td valign="top" align="center">-0.15 (-0.54, 0.24)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Harvested lymph node</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LapTME</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.96 (-2.62, 0.59)</td>
<td valign="top" align="center">-0.80 (-2.01, 0.49)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RobTME</td>
<td valign="top" align="center">0.96 (-0.59, 2.62)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.17 (-1.59, 2.08)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TaTME</td>
<td valign="top" align="center">0.80 (-0.49, 2.01)</td>
<td valign="top" align="center">-0.17 (-2.08, 1.59)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRM, circumferential resection margin; LapTME, laparoscopic total mesorectal excision; RobTME, robotic total mesorectal excision; TaTME, transanal total mesorectal excision; ISR, intersphincteric resection; DRM, distal resection margin.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Rank probability diagram. <bold>(A)</bold> CRM involvement; <bold>(B)</bold> CRM involvement for ISR; <bold>(C)</bold> Complete mesorectum; <bold>(D)</bold> Near complete mesorectum; <bold>(E)</bold> Incomplete mesorectum; <bold>(F)</bold> DRM involvement; <bold>(G)</bold> Tumor distance to the CRM; <bold>(H)</bold> DRM distance; <bold>(I)</bold> Harvested lymph nodes; <bold>(J)</bold> Summary of surgical approach rank in terms of surgical resection quality.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-699200-g003.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Secondary Outcomes</title>
<p>Nineteen studies reported the mesorectal quality. The consistency test showed good consistency between direct comparisons and indirect estimated comparisons (all the P values &gt; 0.05 in node-splitting analysis), and good convergence of the model was obtained (all PSRFs ranged from 1.00 to 1.01) for all mesorectal quality outcomes. Complete mesorectal excision was observed in 541 (75.1%) of 720 patients who underwent LapTME, in 547 (93.7%) of 584 patients who underwent RobTME and in 647 (81.2%) of 797 patients who underwent TaTME. The network analysis results showed no significant difference in the complete mesorectal excision rates among these 3 surgical approaches. The results from traditional direct pairwise meta-analysis demonstrated no significant difference for complete mesorectal excision between LapTME and RobTME (OR=0.868, 95% CI 0.411-1.831, P=0.709), between RobTME and TaTME (OR=1.413, 95% CI 0.543-3.675, P=0.479), or between LapTME and TaTME (OR=0.735, 95% CI 0.452-1.197, P=0.216). In addition, RobTME ranked best with the highest probability for complete mesorectal excision.</p>
<p>The incomplete mesorectal excision rates were 9.6% (69/720) in the LapTME group, 1.9% (11/584) in the RobTME group and 5.6% (45/797) in the TaTME group. Pooled network analysis observed a higher but not statistically significant risk of incomplete mesorectum when comparing both LapTME with RobTME (OR = 1.99; 95% CI = 0.48-11.17) and LapTME with TaTME (OR = 1.90; 95% CI = 0.99-5.25). According to the results of direct pairwise meta-analysis, there was no significant difference between LapTME and RobTME (OR=1.612, 95% CI 0.065-39.911, P=0.770), RobTME and TaTME (OR=1.180, 95% CI 0.432-3.223, P=0.747), or LapTME and TaTME (OR=1.531, 95% CI 0.998-2.351, P=0.051). Moreover, LapTME ranked the worst for obtaining incomplete mesorectal excision. Compared with TaTME, RobTME achieved a greater mean tumor distance to the CRM (WMD, 0.987; 95% CI 0.628&#x2013;1.345; P &lt; 0.001) in both the direct comparison and indirect network estimated comparison (WMD, 4.31; 95% CI 0.38&#x2013;7.78). The inconsistency model was used because all the P values &lt; 0.05 in node-splitting analysis.</p>
<p>Sixteen studies reported DRMs. The pooled DRM positivity rate was 2.0% (14/706) for the LapTME group, 0.3% (2/739) for the RobTME group and 1.9% (12/638) for the TaTME group. Synthesis of the results found that the DRM positive rate was not affected by the 3 different approaches. Similarly, no differences in the length of DRMs among the 3 surgical approaches were found. No significant difference was discovered between the two groups with respect to the length of DRMs (LapTME <italic>vs</italic> RobTME, WMD = -0.084, 95% CI -0.279-0.111, P = 0.398; RobTME vs TaTME, WMD = 0.570, 95% CI -0.886-2.026, P = 0.443; LapTME vs TaTME, WMD = -0.072, 95% CI -0.333-0.189, P = 0.588). RobTME ranked the best with a high probability for the lowest rate of DRM involvement, the longest length of DRMs, and the number of harvested lymph nodes.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Since TME for mid-/low rectal cancer has been elucidated to optimize locoregional clearance (<xref ref-type="bibr" rid="B51">51</xref>), the LR rate has decreased to approximately 6% (<xref ref-type="bibr" rid="B52">52</xref>), and an optimal surgical approach for mid-/low rectal cancer has yet to be achieved. The quality of surgical resection metrics for rectal cancer is defined and evaluated by positive CRMs, incomplete planes of mesorectal excision and positive DRMs (<xref ref-type="bibr" rid="B53">53</xref>). The relationship between the quality of surgical resection and long-term oncological outcomes has been well established (<xref ref-type="bibr" rid="B53">53</xref>), and the quality of surgical resection has been recommended for evaluating novel surgical interventions (<xref ref-type="bibr" rid="B54">54</xref>). Compared with previous reports of meta-analyses (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), this study used network meta-analysis to comprehensively estimate the quality of surgical resection in RobTME, TaTME, and LapTME for mid-/low rectal cancer treatment. The results demonstrated that RobTME achieved a greater mean tumor distance to the CRM than TaTME. In addition, no difference was observed in terms of the CRM involvement rates and all other surgical resection quality variables among RobTME, TaTME, and LapTME. By comparison, RobTME was most likely to be ranked the best in terms of CRM involvement, complete mesorectal excision, rate of DRM involvement and length of DRMs. TaTME was most likely to be ranked the worst in terms of CRM involvement for ISR in low rectal cancer.</p>
<p>The CRM was introduced as a powerful prognostic factor for rectal cancer resection and an important index for measuring the curative effect of surgery. Many large-scale studies have been published demonstrating the value of CRM involvement for local recurrence, overall recurrence and cancer-specific mortality (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Moreover, since cancer metastases have been found to spread to the distal mesorectum in approximately 40% of rectal cancer cases, a potentially residual disease in the distal mesorectum predisposes patients to pelvic recurrence (<xref ref-type="bibr" rid="B57">57</xref>). However, tapering of the distal mesorectum makes radical resection of mid- and low rectal lesions difficult with laparoscopy. Previous RCTs found that CRM rates varied from 4.0% to 15.5% with the laparoscopic approach (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>), in line with the results of our pooled CRM rate of 6.5%. However, a higher CRM rate of 9.0% in laparoscopic ISR was found in the present study, coinciding with a rate of 9.4% in a previous multicenter study (<xref ref-type="bibr" rid="B24">24</xref>). For this reason, TaTME has been developed as an alternative technique for the treatment of mid-/low rectal cancer, as TaTME provides better dissection of the presacral plane and the rectoprostatic plane or rectovaginal plane with better visualization of the distal rectum (<xref ref-type="bibr" rid="B60">60</xref>). Although TaTME performed in mid-/low rectal cancer patients has shown encouraging results (<xref ref-type="bibr" rid="B61">61</xref>), its oncological feasibility and safety are yet to be verified through ongoing large RCTs (COLOR III), as the results are only expected approximately in the year 2022 (<xref ref-type="bibr" rid="B62">62</xref>). Prior traditional systematic reviews by Hu et&#xa0;al. (<xref ref-type="bibr" rid="B63">63</xref>) and Wu et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>) comparing LapTME to TaTME for mid-/low rectal cancer showed that TaTME was associated with a reduced positive CRM rate and could achieve complete tumor resection with improved long-term survival. Rubinkiewicz et&#xa0;al. (<xref ref-type="bibr" rid="B65">65</xref>) conducted an updated meta-analysis to compare the pure standard LapTME and TaTME procedures by excluding studies on abdominoperineal resection or cases of Hartmann resection. No significant differences regarding the CRM, completeness of mesorectal excision, or DRM were found. However, the sample size in the TaTME group in these previous meta-analyses (414 cases in the Hu study, 348 cases in the Wu study, and 358 in the Rubinkiewicz study) was still insufficient, which could have influenced the statistical significance. Investigators of the COLOR III study estimated that at least 732 patients would be required for the TaTME arm to demonstrate a CRM difference based on an estimated CRM rate of 7% (<xref ref-type="bibr" rid="B62">62</xref>). The estimated CRM rate in the COLOR III study was quite similar to our current pooled results. However, with a total of 1362 patients included in the TaTME group of the present network meta-analysis, we failed to find a benefit of TaTME in terms of the CRM rate. Admittedly, the surgical techniques used in TaTME might not be standardized, and performing TME from below is challenging due to the limited anatomical landmarks.</p>
<p>A robotic-assisted approach, another alternative technique, provides wrist motion for endoscopic instruments to overcome several of the technical difficulties associated with laparoscopy. A lower rate of CRM involvement (OR = 0.5) was found to be associated with RobTME in an early meta-analysis containing 592 patients (324 in the RobTME group and 268 in the LapTME group) (<xref ref-type="bibr" rid="B66">66</xref>). However, the early results of a recent RCT (ROLARR trial) showed that CRM involvement rates were comparable between robotic-assisted (5.1%) and conventional laparoscopic (6.3%) rectal cancer resection, in accordance with an updated systematic review following the publication of the ROLARR trial (<xref ref-type="bibr" rid="B67">67</xref>) and our current results.</p>
<p>Although little data exist regarding head-to-head comparative analyses of RobTME and TaTME, our Bayesian network meta-analysis allowed us to compare these 3 techniques indirectly and gain more precise effect estimates by collectively evaluating direct and indirect comparisons. Although no difference was observed in terms of CRM involvement among these 3 techniques, RobTME achieved a significantly safer CRM rate than TaTME. In addition, the present study showed that RobTME had a high probability of being the best surgical treatment with regard to CRM involvement in ISR procedures. This was probably due to the ability of the versatile instruments to dissect as far caudally as the intersphincteric space while compensating for the challenges posed by the deep pelvis. Two published network meta-analyses (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>) comparing these 3 surgical techniques in rectal cancer came to different conclusions about CRM involvement because of several substantial biases. First, the network meta-analysis by Simillis et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) had seriously different sample sizes among the 4 different surgical techniques compared. Only 50 TaTME cases were included compared to 2350 open, 3276 laparoscopic, and 561 robotic cases, which resulted in very large statistical errors. For instance, the odds ratio for the comparison of conversion rates between TaTME and open TME was as high as 4964, with a large 95% CI (0.6- 39,611,894). Second, it might be considered that all the TaTME studies included in the two previous network meta-analyses included only patients with mid-/low rectal cancers, unlike data from LapTME and RobTME studies that also included upper rectal cancers. CRM involvement rates were lower in operations for upper rectal cancer than for low rectal cancer operations in previous studies (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>). Furthermore, partial mesorectal excision (PME) with mesorectal transection 5&#xa0;cm below the tumor is adequate for upper rectal cancers, while TME is necessary for mid-/low rectal cancer. This might decrease the diversity and strength of a network meta-analysis when performing indirect comparisons and calculating treatment rankings with probabilities among LapTME, RobTME, and TaTME. Last but not least, since the cutoff value for defining CRM positivity is still under debate, the threshold of 1&#xa0;mm or less is the most commonly accepted and used in included studies (<xref ref-type="bibr" rid="B70">70</xref>). Rausa (<xref ref-type="bibr" rid="B8">8</xref>), in their network meta-analysis, also included the study by Velthuis, in which a positive CRM was defined as tumor involvement of 2&#xa0;mm or less from the resection margin. The pooled result was therefore questionable due to a combination of CRM involvement rates with inconsistent definitions. In the present study, we included only mid-/low rectal cancers and defined CRM positivity with a threshold of 1&#xa0;mm or less. Moreover, the sample sizes were relatively comparable among the different surgical approach groups.</p>
<p>Compared with the CRM, the mesorectal quality, or the so-called plane of mesorectal excision, represented a stricter and more precise indicator for assessing the degree of radical surgical resection. Since CRM involvement might occur when cT4 tumors grow directly into the circumferential margin, this cannot be considered incomplete removal of the surrounding mesorectum. Incomplete mesorectal excision might not always be related to CRM involvement in the case of a small tumor. In our study, there were no differences between these 3 surgical approaches regarding the quality of the specimen. RobTME ranked the best with a high probability of complete mesorectal excision. Furthermore, pooled network analysis observed a higher but not statistically significant risk of incomplete mesorectum when comparing both LapTME with RobTME (OR = 1.99) and LapTME with TaTME (OR = 1.90). However, we believe the results of the present study should be carefully interpreted. The incomplete mesorectal excision rate was obviously higher in the LapTME group (9.6%) than the rate of 1.9% in the RobTME group and of 5.6% in the TaTME group, even though these differences did not reach statistical significance. Additionally, a study based on postoperative magnetic resonance imaging (MRI) of the pelvis found that residual mesorectal tissue was detected in 3.1% of TaTME patients and 46.9% of LapTME patients, which indicated that the completeness of mesorectal excision was significantly better with TaTME than with the standard laparoscopic technique (<xref ref-type="bibr" rid="B71">71</xref>). Since the association of TME quality with prognosis was established in a previous large-scale RCT (<xref ref-type="bibr" rid="B72">72</xref>), the oncological outcomes of direct comparison among these 3 techniques when a negative CRM is combined with intact mesorectal excision should be awaited to specifically assess the surgical quality.</p>
<p>In laparoscopic surgery, it is challenging to accurately identify the distal margin and apply endoscopic staplers at a right angle to the rectum within the limited dissecting space. In TaTME, the tumor is distally approached through the anus, and the use of linear staplers can be avoided. This facilitates surgeons to accurately determine the DRM and logically secure a safe, adequate DRM length before rectal transection. Interestingly, however, we found a similar DRM positivity rate between LapTME (2.0%) and TaTME (1.9%), both of which were higher than the rate of RobTME (0.3%), even though the differences did not reach statistical significance. This could be explained by DRM involvement due to residual tumor cells beyond the regressed tumor edge after neoadjuvant chemoradiation. Surgeons might perform frozen sections to ensure oncologic clearance during TaTME for advanced tumors that have been subjected to neoadjuvant therapy. However, there is insufficient evidence in the literature regarding this issue. Moreover, it should be emphasized that the heterogeneity of the height of tumors from the anal verge and the proportion of neoadjuvant therapy might cause bias. In addition, RobTME was ranked the best with a high probability for the lowest rate of DRM involvement and longest DRM length in this study. These results are comparable to those of a recently published multicenter matched study (<xref ref-type="bibr" rid="B43">43</xref>) and a previous retrospective study (33). The potential advantage of RobTME regarding DRMs may be the result of technical advantages of the robotic approach because it allows the surgeon to perform high-quality maneuvers in the narrow pelvic cavity.</p>
<p>It is worth noting that TaTME was most likely to be ranked the worst in terms of CRM involvement for ISR in low rectal cancer. Larsen et&#xa0;al. (<xref ref-type="bibr" rid="B73">73</xref>) reported a 9.5% local recurrence rate at a median follow-up of 11 months among Norwegian rectal cancer patients who underwent TaTME. This rate is twice that of the rate observed in the COLOR II study (<xref ref-type="bibr" rid="B74">74</xref>), which included laparoscopic and open surgery cases, and has prompted the nationwide cessation of TaTME. In addition, these cases of local recurrence occurred early and with multifocal pelvic sidewall involvement. One explanation is that the rate of CRM involvement in TaTME for rectal cancers from this Norwegian national cohort was 12.7% (<xref ref-type="bibr" rid="B75">75</xref>), which was higher than the rates in RobTME and LapTME (<xref ref-type="bibr" rid="B67">67</xref>), consistent with our findings. The other explanation is due to the disadvantages of transanal dissection related to rectal transection and air flow during dissection from the perineum.</p>
<p>There were some limitations in our present study. First, except for 2 RCTs, the other studies included were all retrospective comparative studies, which created bias in the selection of patients for each minimally invasive procedure, especially during the learning curve period. However, coarsened exact matching was conducted by Lee, and propensity score matching analysis was performed by Persiani and Detering to eliminate selection bias. Moreover, our primary outcome of interest, the CRM, was routinely collected and objectively measured, thereby minimizing the problems of reporting bias due to the retrospective nature of the analysis. Second, the tumor response to neoadjuvant radiotherapy was demonstrated to have affected margin involvement (<xref ref-type="bibr" rid="B76">76</xref>). Although the CRM involvement rate was similar among these 3 approaches, the incomplete mesorectal excision rate was obviously higher in the LapTME group (9.6%) than the rate of 1.9% in the RobTME group and of 5.6% in the TaTME group, without a significant difference. Further RCTs stratified on the basis of neoadjuvant treatment are needed to specifically assess the surgical qualities of these 3 approaches. Third, although margin status and mesorectal excision completeness are important variables to assess resection quality, oncological outcomes are a multifactorial phenomenon. Long-term follow-up is awaited to assess the oncological outcomes among each minimally invasive procedure.</p>
<p>Based on the available data pooled from the most recent evidence, no difference was observed in terms of CRM involvement rates and all other qualities of surgical resection variables among RobTME, TaTME, and LapTME. Overall, RobTME was most likely to be ranked the best in terms of the quality of surgical resection for the treatment of mid-/low rectal cancer. In addition, TaTME should be performed with caution in the treatment of low rectal cancer.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>XW, ZZ, QY, SL, and PC conceived and designed the study. XW, QY, WG, XL, YH, and SH contributed to the computational analyses and confirmed the results. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This study was financially supported by the National Clinical Key Specialty Construction Project (General Surgery) of China (No. 2012-649), National Natural Science Foundation of China(81902378), Young Scientist Foundation of Fujian Provincial Commission of Health and Family Planning (2017-1-39) and the Startup Fund for Scientific Research, Fujian Medical University (No. 2017XQ1028), Joint Funds for the innovation of science and Technology, Fujian province (2017Y9038; 2017Y9103), Fujian Science and Technology Project (2016J01456), Natural Science Foundation of Fujian Province (2020J011030), Medical Science Research Foundation of Beijing Medical and Health Foundation (B20062DS), Fujian provincial health technology project (2020CXA025), Bethune Charitable Foundation (X-J-2018-004).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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