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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1010536</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison of prognosis between coronary computed tomography angiography versus invasive coronary angiography for stable coronary artery disease: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Xie</surname><given-names>Qingya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1940072/overview"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhou</surname><given-names>Lingling</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Li</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Ruizhe</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Wei</surname><given-names>Han</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Gaoxiang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/674573/overview" /></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Tang</surname><given-names>Yuping</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Xiao</surname><given-names>Pingxi</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1117715/overview" /></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>Sir Run Run Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Orthopaedic Surgery</addr-line>, <institution>Children&#x2019;s Hospital of Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>State Key Laboratory of Natural Medicines</addr-line>, <institution>School of Traditional Chinese Pharmacy, China Pharmaceutical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label>Department of Cardiology, Nanjing Drum Tower Hospital Group Suqian Hospital, Suqian, China</aff>
<aff id="aff5"><label><sup>5</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>The Forth Affiliated Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Filippo Cademartiri, Gabriele Monasterio Tuscany Foundation (CNR), Italy</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Mattia Chiesa, Monzino Cardiology Center (IRCCS), Italy Chiduzie Madubata, Sidney Kimmel Medical College (SKMC), United States</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Pingxi Xiao <email>xpx@njmu.edu.cn</email> Yuping Tang <email>1490286314@qq.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first author ship</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>05</day><month>05</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1010536</elocation-id>
<history>
<date date-type="received"><day>03</day><month>08</month><year>2022</year></date>
<date date-type="accepted"><day>21</day><month>04</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Xie, Zhou, Li, Zhang, Wei, Ma, Tang and Xiao.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Xie, Zhou, Li, Zhang, Wei, Ma, Tang and Xiao</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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>Background</title>
<p>The impact of using invasive coronary angiography (ICA) or coronary computed tomography angiography (CCTA) as an initial examination on the incidence of major adverse cardiovascular events (MACEs) in patients with stable coronary artery disease and the occurrence of major operation-related complications is uncertain.</p>
</sec>
<sec><title>Objective</title>
<p>This study aimed to explore the effects of ICA vs. CCTA on MACEs, all-cause death, and major operation-related complications.</p>
</sec>
<sec><title>Methods</title>
<p>A systematic search of electronic databases (PubMed and Embase) was conducted for randomized controlled trials and observational studies comparing MACEs between ICA and CCTA from January 2012 to May 2022. The primary outcome measure was analyzed using a random-effects model as a pooled odds ratio (OR). The main observations were MACEs, all-cause death, and major operation-related complications.</p>
</sec>
<sec><title>Results</title>
<p>A total of six studies, comprising 26,548 patients, met the inclusion criteria (ICA <italic>n</italic>&#x2009;&#x003D;&#x2009;8,472; CCTA <italic>n</italic>&#x2009;&#x003D;&#x2009;18,076). There were statistically significant differences between ICA and CCTA for MACE [OR 1.37; 95&#x0025; confidence interval (CI), 1.06&#x2013;1.77; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02], all-cause death (OR 1.56; 95&#x0025; CI, 1.38&#x2013;1.78; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.00001), and major operation-related complications (OR 2.10; 95&#x0025; CI, 1.23&#x2013;3.61; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007) among patients with stable coronary artery disease. Subgroup analysis demonstrated statistically significant results in the impact of ICA or CCTA on MACEs according to the length of follow-up. Compared to CCTA, ICA was related to a higher incidence of MACEs in the subgroup with a short follow-up (&#x2264;3 years) (OR 1.74; 95&#x0025; CI, 1.54&#x2013;1.96; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.00001).</p>
</sec>
<sec><title>Conclusions</title>
<p>Among patients with stable coronary artery disease, an initial examination with ICA was significantly associated with the risk of MACEs, all-cause death, and major procedure-related complications compared to CCTA in this meta-analysis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>coronary computed tomography angiography</kwd>
<kwd>invasive coronary angiography</kwd>
<kwd>stable coronary artery disease</kwd>
<kwd>meta-analysis</kwd>
<kwd>review</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="27"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Coronary Artery Disease</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Stable coronary artery disease (SCAD) is generally characterized by episodes of reversible myocardial demand/supply mismatch related to ischemia or hypoxia. SCAD is usually inducible by exercise, emotion, or other stress and is reproducible, but it may also occur spontaneously. At present, SCAD has a high incidence and degree of risk. As SCAD is so multifaceted, its prevalence and incidence have been difficult to assess; these figures vary greatly among studies depending on the definition used. According to the American Society of Cardiovascular Disease (ACC) in 2016, the incidence of stable coronary heart disease is twice as high as that of myocardial infarction, and is expected to be as high as 18&#x0025; of the adult population in 2030 (<xref ref-type="bibr" rid="B1">1</xref>). Currently, the main diagnosis of SCAD includes clinical evaluation, noninvasive tests such as stress tests or coronary computed tomography angiography (CCTA), and invasive coronary angiography (ICA) (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>It is well known that ICA is the reference standard for the diagnosis of stable angina. CCTA has attracted attention because it is a noninvasive alternative that can rule out obstructive coronary artery disease (CAD) with a low risk of adverse events. However, higher referral rates for ICA and vascular reconstruction were both highlighted as potential shortcomings of the CCTA priority strategy (<xref ref-type="bibr" rid="B3">3</xref>). A study showed that the correlation coefficient between ICA and CCTA for the diagnosis of patients with suspected CAD was 0.9 (<xref ref-type="bibr" rid="B4">4</xref>). A meta-analysis revealed that the sensitivity of CCTA for the diagnosis of coronary artery patients using ICA as the diagnostic criterion was 88&#x0025; (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>A study has demonstrated that the combined rate of major operation-related complications associated with ICA diagnostic procedures is in the range of 0.5&#x0025;&#x2013;2&#x0025; (<xref ref-type="bibr" rid="B6">6</xref>). Although the incidence of major operation-related complications related to ICA diagnostic procedures is low, adverse events are increasingly recognized as affecting patients&#x0027; medical compliance. In conclusion, previous meta-analyses have evaluated the diagnostic performance of noninvasive tests compared with ICA (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). However, ICA has not been systematically evaluated in comparison with CCTA in predicting the occurrence of major adverse cardiovascular events (MACEs) and major operation-related complications. Therefore, we conducted a meta-analysis to systematically investigate the advantages and disadvantages of ICA and CCTA in their prediction of MACEs and major operation-related complications to guide the diagnosis and treatment of patients with SCAD.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Search strategy</title>
<p>We used the PubMed and EMBASE databases to conduct a literature search of relevant clinical studies from January 2012 to May 2022. The literature search was limited to human clinical studies, and the search terms were &#x201C;coronary artery disease&#x201D;, &#x201C;ICA&#x201D; and &#x201C;CCTA&#x201D;. The full search terms are illustrated in <xref ref-type="sec" rid="s9">Supplementary Appendix S1, S2</xref>. We reviewed each publication and included only the latest or most complete clinical trial reports when duplicates were found.</p>
</sec>
<sec id="s2b"><title>Inclusion and exclusion criteria</title>
<p>Studies that met the predefined criteria were included in this review: (1) ICA for one group and CCTA for another group; (2) inclusion of patients with stable known or suspected CAD ((i) with stable angina or other symptoms related to CAD, such as dyspnea; (ii) patients with previously known nonobstructive CAD symptoms who were asymptomatic after treatment and required regular follow-ups; (iii) those who first reported symptoms and were judged to be in a chronic stable state) (<xref ref-type="bibr" rid="B2">2</xref>); and (3) data on MACE and major operation-related complications were included, as well as the sample size available for analysis. Studies were considered ineligible when one of the following occurred: (1) the study did not include patients with ICA and/or CCTA and/or SCAD; (2) study methods or results were not available from the article or investigator. The selection of relevant literature was independently conducted by two researchers, and disagreements were resolved by consulting a third reviewer.</p>
</sec>
<sec id="s2c"><title>Data extraction and quality assessment</title>
<p>Two reviewers independently extracted the data from the selected studies using a standardized data extraction form, with disagreements resolved via consensus or by third reviewers when necessary. For each study, the following information was extracted: name of first author and year of publication, study characteristics, patient characteristics, number of patients, median follow-up time, and various outcomes. MACEs and major operation-related complications were extracted from the safety data of each trial. MACE included death, myocardial infarction, late revascularization, cardiac arrhythmia or chest pain requiring hospitalization, cerebrovascular events, hospital admission for refractory myocardial ischemia or congestive heart failure, with death and myocardial infarction being common among studies. Major operation-related complications included nonfatal myocardial infarction, nonfatal stroke, cardiac arrhythmia (ventricular tachycardia or fibrillation), complications prolonging hospitalization by &#x2265;24&#x2005;h, dissection of the coronary artery or aorta, cardiac arrest, cardiac tamponade, local vascular perforation, and severe allergic reactions.</p>
<p>The quality evaluation was assessed by two researchers independently. The JADAD Scale was used to evaluate randomized controlled trials, and the Newcastle&#x2012;Ottawa Scale (NOS) was used for cohort trials (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The JADAD Scale comprised 4 items, with a scale ranging from 0 to 7 (<xref ref-type="sec" rid="s9">Supplementary Table S1</xref>). Scores of 4&#x2013;7 were regarded as high quality, and scores of 1&#x2013;3 were regarded as low quality. For the NOS, an overall quality score contains 8 items rated on a scale of 0&#x2013;9 stars (<xref ref-type="sec" rid="s9">Supplementary Table S2</xref>). When a study obtained more than 6 scores, it was regarded as high quality. When a study obtained scores of 4&#x2013;6, it was regarded as moderate quality. According to the JADAD and NOS, all studies involved were of high quality (<xref ref-type="sec" rid="s9">Supplementary Table S3</xref>).</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>For each meta-analysis, <italic>I</italic><sup>2</sup> statistics were first calculated to assess the heterogeneity among the proportions of the included trials. Values of 25&#x0025;, 50&#x0025;, and 75&#x0025; were regarded as low, moderate, and high heterogeneity, respectively, on the basis of the <italic>I</italic><sup>2</sup> statistic. Considering heterogeneity, data were analyzed using a random-effects model (<xref ref-type="bibr" rid="B11">11</xref>). The combined effect estimates are shown as pooled odds ratios with 95&#x0025; confidence intervals (CIs) and <italic>p</italic> values. Sensitivity analysis was performed by omitting one study at a time. Publication bias was assessed using funnel plots and Begg&#x0027;s test. We also carried out subgroup analyses according to the type of study and the length of follow-up. Statistical analysis was performed using the Cochrane Review Manager (RevMan, version 5.4; The Cochrane Community, London, UK) and STATA version 15 (College State, TX).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Study selection and characteristics</title>
<p>The search strategy is shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>. Our search yielded 2,156 clinical studies relevant to SCAD: 966 articles from PubMed and 1,190 articles from Embase. Following deduplication, 1,484 titles were screened. After evaluating the title and abstract of each study, 806 studies were initially excluded. Another 672 trials were excluded after reviewing the full text, as they failed to fulfill the inclusion criteria. Finally, we included 6 clinical trials for the purpose of analysis (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Data from 26,548 patients were available for the meta-analysis. The baseline characteristics of patients and studies are listed in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. The demographics, comorbidities, and study characteristics of the studies are listed in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. The follow-up period ranged from in-hospital to a maximum of 7 years. The average age was 60.2 and 60.3 years in the ICA and CCTA groups, respectively. Totals of 57.9&#x0025; and 50.0&#x0025; of patients were male in the ICA and CCTA groups, respectively. The incidences of hypertension in each group were 62.3&#x0025; and 53.9&#x0025; for the ICA and CCTA groups, respectively. The incidences of diabetes mellitus in each group were 14.2&#x0025; and 10.2&#x0025; for the ICA and CCTA arms, respectively. The incidences of dyslipidemia in each group were 51.1&#x0025; and 42.2&#x0025; for the ICA and CCTA arms, respectively. The incidences of current smokers in each group were 34.1&#x0025; and 33.5&#x0025; for the ICA and CCTA arms, respectively.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flowchart for process of study selection.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1010536-g001.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Characteristics of studies included in the meta-analysis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Author</th>
<th valign="top" align="center">Design</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Primary endpoint</th>
<th valign="top" align="center">Treatment regimens per arm</th>
<th valign="top" align="center">Number of Enrolled patients, n</th>
<th valign="top" align="center">Duration of follow-up, year</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Dewey</td>
<td valign="top" align="left" rowspan="2">Observational trail</td>
<td valign="top" align="center" rowspan="2">2021</td>
<td valign="top" align="left" rowspan="2">Major adverse cardiovascular event</td>
<td valign="top" align="left">Arm A CTA-CTP</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center" rowspan="2">5</td>
</tr>
<tr>
<td valign="top" align="left">Arm B ICA-SPECT</td>
<td valign="top" align="center">235</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Maurovich</td>
<td valign="top" align="left" rowspan="2">RCT</td>
<td valign="top" align="center" rowspan="2">2022</td>
<td valign="top" align="left" rowspan="2">Major adverse cardiovascular event</td>
<td valign="top" align="left">Arm A CTA</td>
<td valign="top" align="center">1,808</td>
<td valign="top" align="center" rowspan="2">3.5</td>
</tr>
<tr>
<td valign="top" align="left">Arm B ICA</td>
<td valign="top" align="center">1,753</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Kofoed</td>
<td valign="top" align="left" rowspan="2">RCT</td>
<td valign="top" align="center" rowspan="2">2021</td>
<td valign="top" align="left" rowspan="2">Death from any cause, non-fatal recurrent myocardial infarction, refractory myocardial ischemia, clinical heart failure</td>
<td valign="top" align="left">Arm A CTA</td>
<td valign="top" align="center">260</td>
<td valign="top" align="center" rowspan="2">4.2</td>
</tr>
<tr>
<td valign="top" align="left">Arm B ICA</td>
<td valign="top" align="center">324</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Shen</td>
<td valign="top" align="left" rowspan="2">RCT</td>
<td valign="top" align="center" rowspan="2">2020</td>
<td valign="top" align="left" rowspan="2">Major adverse cardiovascular event</td>
<td valign="top" align="left">Arm A ICA</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center" rowspan="2">1</td>
</tr>
<tr>
<td valign="top" align="left">Arm B CTA</td>
<td valign="top" align="center">51</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Winther</td>
<td valign="top" align="left" rowspan="4">Observational trial</td>
<td valign="top" align="center" rowspan="4">2022</td>
<td valign="top" align="left" rowspan="4">All-cause death and myocardial infarction</td>
<td valign="top" align="left">Arm A CTA</td>
<td valign="top" align="center">25,026</td>
<td valign="top" align="center">3.9</td>
</tr>
<tr>
<td valign="top" align="left">Arm B CTA</td>
<td valign="top" align="center">15,643</td>
<td valign="top" align="center">3.4</td>
</tr>
<tr>
<td valign="top" align="left">Arm C CTA-MPI</td>
<td valign="top" align="center">3,547</td>
<td valign="top" align="center">3.2</td>
</tr>
<tr>
<td valign="top" align="left">Arm D CTA-ICA</td>
<td valign="top" align="center">9,135</td>
<td valign="top" align="center">4.1</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Dewey</td>
<td valign="top" align="left" rowspan="2">RCT</td>
<td valign="top" align="center" rowspan="2">2016</td>
<td valign="top" align="left" rowspan="2">Major procedural complications</td>
<td valign="top" align="left">Arm A CTA</td>
<td valign="top" align="center">167</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Arm B ICA</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>RCT, randomized control trial; CTA, computed tomography angiography; ICA, invasive coronary angiography; SPECT, single-photon emission computed tomography; CTP, computed tomography myocardial perfusion imaging; MPI, myocardial perfusion imaging.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Baseline raw data demographics, comorbidities, and study characteristics of studies included in the meta-analysis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Dewey 2021</th>
<th valign="top" align="center">Maurovich 2022</th>
<th valign="top" align="center">Kofoed 2021</th>
<th valign="top" align="center">Shen 2020</th>
<th valign="top" align="center">Winther 2022</th>
<th valign="top" align="center">Dewey 2016</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sample (<italic>n</italic>)<break/>CTA/ICA</td>
<td valign="top" align="center">147/235</td>
<td valign="top" align="center">1,808/1,753</td>
<td valign="top" align="center">260/324</td>
<td valign="top" align="center">51/51</td>
<td valign="top" align="center">15,643/9,135</td>
<td valign="top" align="center">167/162</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">61.3/60.6</td>
<td valign="top" align="center">58.9/60.1</td>
<td valign="top" align="center">60/57</td>
<td valign="top" align="center">61.1/62.9</td>
<td valign="top" align="center">60.4/60.4</td>
</tr>
<tr>
<td valign="top" align="left">Male (&#x0025;)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1,019 (56.4)/983 (56.1)</td>
<td valign="top" align="center">113 (43.5)/149 (46.0)</td>
<td valign="top" align="center">31 (60.8)/30 (58.8)</td>
<td valign="top" align="center">7,714 (49.3)/5,371 (58.8)</td>
<td valign="top" align="center">79 (47.3)/84 (51.9)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>CAD risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1,102/1,020</td>
<td valign="top" align="center">105/137</td>
<td valign="top" align="center">24/25</td>
<td valign="top" align="center">8,317/5,821</td>
<td valign="top" align="center">111/112</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">263/294</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">9/9</td>
<td valign="top" align="center">1,509/1,243</td>
<td valign="top" align="center">15/30</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">874/832</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">17/19</td>
<td valign="top" align="center">6,467/4,737</td>
<td valign="top" align="center">95/81</td>
</tr>
<tr>
<td valign="top" align="left">Current smoker</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">343/300</td>
<td valign="top" align="center">60/82</td>
<td valign="top" align="center">20/16</td>
<td valign="top" align="center">5,539/3,469</td>
<td valign="top" align="center">41/34</td>
</tr>
<tr>
<td valign="top" align="left">Prior MI</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">20/37</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Prior PCI</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">195/253</td>
<td valign="top" align="center">12/28</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Prior CABG</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">39/62</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Clinical presentation</bold></td>
</tr>
<tr>
<td valign="top" align="left">Typical angina</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">232/275</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1,202/1,902</td>
<td valign="top" align="center">65/79</td>
</tr>
<tr>
<td valign="top" align="left">Atypical angina</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">843/805</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">6,169/3,473</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Nonanginal chest pain</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">677/634</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">4,203/1,440</td>
<td valign="top" align="center">97/80</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">56/39</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">4,069/2,316</td>
<td valign="top" align="center">5/3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>NA, not available.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Pooled results of the meta-analysis</title>
<p>All included studies reported data on MACEs (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Four of the six studies assessed all-cause death during follow-up (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Four studies reported major operation-related complications (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). There were statistically significant results between the two groups in terms of MACE (ICA&#x2009;&#x003D;&#x2009;705[8.3&#x0025;] vs. CCTA&#x2009;&#x003D;&#x2009;852[4.7&#x0025;]; OR 1.37; 95&#x0025; CI, 1.06&#x2013;1.77; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02, <xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref>) and all-cause death (ICA&#x2009;&#x003D;&#x2009;429[5.3&#x0025;] vs. CCTA&#x2009;&#x003D;&#x2009;601[3.4&#x0025;]; OR 1.56; 95&#x0025; CI, 1.38&#x2013;1.78; <italic>p&#x2009;</italic>&#x003C;&#x2009;0.00001, <xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>). The overall OR of major operation-related complications with ICA was 2.10-fold higher (95&#x0025; CI, 1.23&#x2013;3.61; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007, <xref ref-type="fig" rid="F2">Figure&#x00A0;2C</xref>) than that in patients with CCTA.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Forest plots of (<bold>A</bold>) major adverse cardiac events, (<bold>B</bold>) all-cause death and (<bold>C</bold>) operation-related complications.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1010536-g002.tif"/>
</fig>
</sec>
<sec id="s3c"><title>Heterogeneity and publication bias</title>
<p>Given the moderate heterogeneity of MACE and the low heterogeneity of major operation-related complications shown in the forest plots, the sensitivity analysis was conducted by omitting one study at a time (<xref ref-type="sec" rid="s9">Supplementary Tables S4, S5</xref>). In terms of MACEs, no significant difference in the effect of initial examination using ICA and CCTA was observed after removing the study of Winther 2022 (OR 1.19; 95&#x0025; CI, 0.93&#x2013;1.51; <italic>p&#x2009;</italic>&#x003D;&#x2009;0.17), with heterogeneity decreasing from 50&#x0025; to 0&#x0025; (<xref ref-type="sec" rid="s9">Supplementary Table S4</xref>). It can also be seen that the results were affected in the same way after deleting the study of Maurovich 2022 (OR 1.32; 95&#x0025; CI, 0.94&#x2013;1.85; <italic>p&#x2009;</italic>&#x003D;&#x2009;0.10, <xref ref-type="sec" rid="s9">Supplementary Table S4</xref>). In terms of major operation-related complications, after deleting the study of Dewey 2016, no statistically significant effect of initial examination using ICA and CCTA was observed (OR 1.98; 95&#x0025; CI, 0.97&#x2013;4.02; <italic>p&#x2009;</italic>&#x003D;&#x2009;0.06, <xref ref-type="sec" rid="s9">Supplementary Table S5</xref>). Otherwise, the results were not overly influenced by other single studies. To evaluate publication bias, funnel plots were constructed (<xref ref-type="sec" rid="s9">Supplementary Figure S1</xref>). The results of Begg&#x0027;s test regarding MACEs (<italic>p&#x2009;</italic>&#x003D;&#x2009;0.38) and major operation-related complications (<italic>p&#x2009;</italic>&#x003D;&#x2009;0.68) suggested no significant publication bias.</p>
</sec>
<sec id="s3d"><title>Subgroup analysis</title>
<p>In consideration of the heterogeneity for the MACE outcome, we performed subgroup analysis to identify the potential source of heterogeneity. Subgroup analysis based on study type (intervention/observation)showed no statistically significant result in the effect of ICA or CCTA on MACE between the subgroups (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.76). Specifically, the pooled ORs were 1.27 (95&#x0025; CI, 0.95&#x2013;1.71; <italic>p&#x2009;</italic>&#x003D;&#x2009;0.11) in the interventional study subgroup and 1.40 (95&#x0025; CI, 0.82&#x2013;2.38<italic>; p&#x2009;</italic>&#x003D;&#x2009;0.22) in the observational study subgroup. In addition, subgroup analysis for length of follow-up showed a statistically significant result between the subgroups (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.003). The follow-up period varied from in-hospital to a minimum of one year to a maximum of seven years. Thus, a subgroup analysis was performed with a follow-up period limited to three years. The pooled ORs were 1.74 (95&#x0025; CI, 1.54&#x2013;1.96; <italic>p&#x2009;&#x003C;&#x2009;</italic>0.00001) for the short follow-up subgroup (&#x2264;3 years) and 1.06 (95&#x0025; CI, 0.79&#x2013;1.44<italic>; p&#x2009;</italic>&#x003D;&#x2009;0.68) for the long follow-up subgroup (&#x003E;3 years).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Subgroup analysis of MACE according to the type of study.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1010536-g003.tif"/>
</fig>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Subgroup analysis of MACE according to the study length of follow-up.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1010536-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>The objective of our study was to assess the potential differences in the impact of the initial examination using ICA or CCTA on major adverse cardiovascular events (MACEs), all-cause death, and major operation-related complications. This meta-analysis analyzed data from six studies comprising 26,548 patients. The key findings of this study are as follows: (1) There were statistically significant differences between the two groups in terms of MACE, all-cause death, and major operation-related complications. The overall odds ratio (OR) of major operation-related complications with ICA was 2.10-fold higher. (2) This effect was observed for both the duration of follow-up (short-term) and type of study (observational study).</p>
<p>To our knowledge, previous meta-analyses have compared diagnostic rates between ICA and CCTA (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B18">18</xref>), but there is no relevant meta-analysis on the effect of ICA or CCTA on the risk of MACE and the occurrence of major operation-related complications. Despite the technical differences between ICA and CCTA, previous studies have shown no significant differences in diagnostic outcomes between the two diagnostic modalities of ICA and CCTA among patients with stable coronary arteries (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Therefore, it is particularly important to study the impact of the initial examination using ICA and CCTA on the risk of MACEs and the impact on major operation-related complications.</p>
<p>CCTA requires only an intravenous injection of contrast and computed tomography of the area to be imaged (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Compared to ICA, it can better show the opening of the vessels and can well determine the nature of the coronary plaque. Additionally, CCTA can show lesions outside the coronary arteries, such as tumors. Finally, CCTA is noninvasive, less risky, has fewer side effects, and has higher patient compliance. However, CCTA requires heart rate control and has a high sensitivity and low specificity for calcified lesions. ICA inserts a catheter into the coronary artery after puncturing through the femoral or radial artery and selectively injects contrast into the coronary artery. Compared to CCTA, ICA is intuitive and accurate, and the results are reliable (<xref ref-type="bibr" rid="B23">23</xref>). In addition, ICA allows the direct selection of treatment options. Additionally, there is no need to control the heart rate or diet before the procedure. However, ICA is an invasive test that is more invasive and may cause some complications. Results of two large trials, the PROMISE (<xref ref-type="bibr" rid="B24">24</xref>) and SCOT-HEART trials (<xref ref-type="bibr" rid="B25">25</xref>), which compare CT with functional testing in patients with SCAD. In both of those trials, investigators found that CT was as good as or better than functional test-ing as a preliminary evaluation before possible ICA. Our meta-analysis confirmed the safety of a CT strategy and showed results that were similar to those with ICA. Improvement in quality of life are key objectives in the treatment of patients with SCAD.The findings of this meta-analysis showed statistically significant results in the effect of initial examination using ICA and CCTA on MACE, but the incidence of major operation-related complications was lower in patients who used CCTA examination, an important outcome for the comparison of invasive and noninvasive management strategies. Therefore, in terms of accuracy, prediction of MACE, all-cause death and major operation-related complications, CCTA is more suitable for patients with SCAD.</p>
<p>Following the exclusion of Winther 2022, the differences between MACE and all-cause deaths disappeared, and the heterogeneity decreased from 50&#x0025; to 0&#x0025;. After a thorough evaluation, the literature was found to meet the inclusion criteria and was not excluded based on high heterogeneity. Subsequently, a subgroup analysis was conducted, and the findings suggested that the heterogeneity may be attributed to the type of study and length of follow-up. The use of ICA and CCTA for initial examination was statistically significant in subgroups with a short follow-up. Although the Winther2022 study was an observational study that is prone to bias when compared with randomized controlled trials, no obvious publication bias was observed in the results of the constructed funnel plot. In the future, to reduce the&#x00A0;heterogeneity between studies and increase the accuracy of the analysis, studies with the same study type and follow-up time can be included for meta-analysis.</p>
<p>Several limitations of our study need to be acknowledged. First, the definition of MACEs varied among the included studies, which may have influenced the consistency of our findings. Second, SCAD incidence increases with age and is higher in middle-aged women than in men (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). However, due to limited data, we were unable to perform subgroup analyses for different age groups or sexes. Therefore, we performed a pooled analysis of patients with SCAD in all age groups. Third, the severity of CAD among patients in the included studies varied to some extent, which may have impacted data analysis. Fourth, there was low to moderate heterogeneity among the studies, which may have influenced the reliability of our results. To address this issue, we used a random-effects model and performed subgroup analyses to explore possible sources of heterogeneity. The results showed that different follow-up times and study types might partly account for the heterogeneity. However, the results of the short follow-up time subgroup were statistically significant, while the results of the long follow-up time subgroup were not. This discrepancy needs to be further investigated by future studies. Additionally, the included studies did not have clear functional test data, which might have affected the reliability of our results. Finally, the sample size of our study was limited, which may have introduced bias. Moreover, due to the limited number of studies on this topic, the funnel plot was slightly asymmetric, and an accurate assessment of publication bias was not possible.</p>
<p>Given the limitations of the data, we were unable to perform subgroup analyses of patients with SACD in different age groups or subgroup analyses of sex. Therefore, we performed a pooled analysis of patients with SCAD in all age groups. Third, the severity of CAD patients in the included studies varied to a certain extent, which may have a certain impact on data analysis. Fourth, there was low to moderate heterogeneity among the meta-analysis studies, which may influence the reliability of the results. However, this is an inevitable problem. Therefore, we used a random effects model to complete the meta-analysis, conservatively accounting for heterogeneity. Additionally, subgroup analyses were performed to explore possible sources of heterogeneity, and the results showed that different follow-up times and study types might partly account for the heterogeneity. In addition, the results of the short follow-up time subgroup were statistically significant, while the results of the long follow-up time subgroup were not, which needs to be supplemented by more studies. Not all patients with stable coronary arteries end up having to undergo revascularization surgery, and the included studies did not have clear functional test data that might affect the reliability of the results. Finally, the effect of our study may be biased due to the size of the sample size. In addition, due to the limited number of studies on this topic, the funnel plot is slightly asymmetric. Therefore, an accurate assessment of publication bias is not possible.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>This meta-analysis compared the impact of initial examination with ICA or CCTA on the occurrence of MACEs and major operation-related complications among patients with SCAD. In terms of MACEs, all-cause death and major operation-related complications, there were all statistically significant results. In summary, CCTA is superior to ICA in reducing the incidence of MACEs, all-cause death, and major operation-related complications. Therefore, CCTA is a safer diagnostic method for patients with SCAD.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s9"><bold>Supplementary Material</bold></xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7"><title>Author contributions</title>
<p>All authors contributed to the article and approved the submitted version.</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="s10" sec-type="disclaimer"><title>Publisher&#x0027;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>
<sec id="s9" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1010536/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1010536/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/>
</supplementary-material>
</sec>
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