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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Big Data</journal-id>
<journal-title>Frontiers in Big Data</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Big Data</abbrev-journal-title>
<issn pub-type="epub">2624-909X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fdata.2024.1428074</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Big Data</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Guan-Jiang</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1318312/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fan</surname> <given-names>Zhi-Jun</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lu</surname> <given-names>Biao-Qing</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>Department of Otorhinolaryngology Head and Neck Surgery, Zhongshan Hospital of Traditional Chinese Medicine, Affiliated to Guangzhou University of Chinese Medicine, Zhongshan</institution>, <addr-line>Guangdong</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Davor Plavec, Children&#x00027;s Hospital Srebrnjak, Croatia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Giuseppe Murdaca, University of Genoa, Italy</p>
<p>Tarik Yagci, Bilecik Sevh Edebali University, T&#x000FC;rkiye</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Biao-Qing Lu <email>biaoqingluzyy&#x00040;outlook.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>7</volume>
<elocation-id>1428074</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>05</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2024 Huang, Fan and Lu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Huang, Fan and Lu</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>Objective</title>
<p>Biologics are considered as a promising novel treatment option for patients with chronic rhinosinusitis who failed with the standard of care (medical therapy and surgical interventions). This bibliometric analysis was performed to explore cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis.</p></sec>
<sec>
<title>Methods</title>
<p>Original research publications on biologics in chronic rhinosinusitis were retrieved from the Science Citation Index-Expanded (SCI-E) database in the Web of Science Core Collection between 2004 and 2023. Using CiteSpace and R software, the country/region, author, institution, journal, reference, and keywords were extracted to analyze the research focus and global trends in this field.</p></sec>
<sec>
<title>Results</title>
<p>Research articles exhibited a consistent rising trend from 2004 to 2023, especially the period between 2020 and 2023. Most articles were published by authors from the USA. The USA was the most cited country, enjoying the most active cooperation with other countries/regions. Bachert C owned the most publications and collaborations. Ghent University and Karolinska Institute had the most collaborations with other institutions. <italic>Journal of Allergy and Clinical Immunology</italic> and <italic>Allergy</italic> published the most articles and were the most co-cited journals. Research frontiers on biologics in chronic rhinosinusitis would focus on efficacy, quality of life, safety, children, management, etc.</p></sec>
<sec>
<title>Conclusions</title>
<p>This bibliometric analysis displayed the overall situation and global trend on biologics in chronic rhinosinusitis. The visualization analysis of publications could assist researchers rapidly in understanding the hotspots and trends. Further research is warranted to determine the long-term effects and side effects of biologics in chronic rhinosinusitis.</p></sec></abstract>
<kwd-group>
<kwd>chronic rhinosinusitis</kwd>
<kwd>biologics</kwd>
<kwd>bibliometric analysis</kwd>
<kwd>collaboration</kwd>
<kwd>frontier</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="22"/>
<page-count count="10"/>
<word-count count="4345"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Medicine and Public Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Chronic rhinosinusitis affected about 4.3%&#x02013;12.5% of the population worldwide (Hopkins, <xref ref-type="bibr" rid="B14">2019</xref>; Agache et al., <xref ref-type="bibr" rid="B1">2021</xref>; Kato et al., <xref ref-type="bibr" rid="B17">2022</xref>). Patients with chronic rhinosinusitis often require long-term use of systemic corticosteroid and/or repeated sinus surgery, suffering a high symptom burden, a huge economic burden, and a poor quality of life (Bachert et al., <xref ref-type="bibr" rid="B3">2019</xref>; Chong et al., <xref ref-type="bibr" rid="B11">2020</xref>; Agache et al., <xref ref-type="bibr" rid="B1">2021</xref>). The management of these patients remains challenging. The successful application of biologics in asthma promoted the use of similar biologic treatments for chronic rhinosinusitis (Gevaert et al., <xref ref-type="bibr" rid="B13">2013</xref>; Iqbal et al., <xref ref-type="bibr" rid="B15">2020</xref>; Mullol et al., <xref ref-type="bibr" rid="B18">2022</xref>).</p>
<p>Nowadays, biologics are considered as a promising novel treatment option for patients with chronic rhinosinusitis who fail with the standard of care (medical therapy and surgical interventions) (Gevaert et al., <xref ref-type="bibr" rid="B13">2013</xref>; Mullol et al., <xref ref-type="bibr" rid="B18">2022</xref>). A recent network meta-analysis proved that biologics and endoscopic sinus surgery both could significantly improve key nasal outcomes in chronic rhinosinusitis with nasal polyps (Chen et al., <xref ref-type="bibr" rid="B10">2023</xref>). More particularly, dupilumab obtained better efficacy than endoscopic sinus surgery on SNOT-22 scores at 1 year. A systematic review summarized that treatment with omalizumab and mepolizumab improved endoscopic nasal polyp score and symptoms score in patients compared with placebo (Iqbal et al., <xref ref-type="bibr" rid="B15">2020</xref>). Nasal polyp size was reduced after using reslizumab, especially in patients with raised intranasal interleukin-5 (IL-5) levels. Dupilumab reduced 70% of endoscopic nasal polyp score. These biologics targeted various inflammatory markers that were involved in the pathophysiology of chronic rhinosinusitis, bringing considerable clinical improvement. Therefore, a general overview of developments of biologics in chronic rhinosinusitis is required.</p>
<p>In the current era filled with the overwhelming abundance of information, it is increasingly arduous to maintain a comprehensive understanding of the field. As a pioneering method, the bibliometric analysis would be an excellent option to evaluate quantitatively the impact of research publications on the selected research field in terms of countries/regions, collaboration, journals, institutions, authors, and keywords (Oelrich et al., <xref ref-type="bibr" rid="B21">2007</xref>; Jiang et al., <xref ref-type="bibr" rid="B16">2023</xref>). Bibliometric analysis has been gradually applied in various research domains (Bornmann and Leydesdorff, <xref ref-type="bibr" rid="B6">2014</xref>). Compared with the traditional systematic review and the meta-analysis, bibliometric analysis can more systematically and visually reveal the current trend and development of research topics (Bould et al., <xref ref-type="bibr" rid="B7">2014</xref>; Jiang et al., <xref ref-type="bibr" rid="B16">2023</xref>). Furthermore, Bibliometric analysis can identify highlights and &#x0201C;hotspots&#x0201D; to generate perspectives to guide future research orientations for potential researchers in this field.</p>
<p>To provide an up-to-date global overview regarding cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis, we performed this bibliometric analysis based on research publications from 2004 to 2023.</p></sec>
<sec id="s2">
<title>2 Materials and methods</title>
<sec>
<title>2.1 Data sources and search strategies</title>
<p>Owing to the capability to generate high-quality academic publications, the Web of Science Core Collection (WoSCC, <ext-link ext-link-type="uri" xlink:href="https://www.webofscience.com/wos/">https://www.webofscience.com/wos/</ext-link>) is usually utilized to conduct the bibliometric analysis (Bould et al., <xref ref-type="bibr" rid="B7">2014</xref>). The search terms contained &#x0201C;chronic rhinosinusitis,&#x0201D; &#x0201C;nasal polyp,&#x0201D; &#x0201C;anti-IgE monoclonal antibody,&#x0201D; etc. The Science Citation Index-Expanded (SCI-E) database in the WoSCC database was extensively searched for relevant data from 2004 to 2023. Original research articles were solely included. Non-English articles and other types of publications were excluded. Two authors separately analyzed the data. Conflicts were settled with the assistance of the third author. We focused on information about titles, authors, countries, journals, institutions, references, etc.</p>
</sec>
<sec>
<title>2.2 Bibliometric analysis and visualization</title>
<p>Before being loaded into the analysis software, WoSCC data had been converted to the corresponding format. CiteSpace software (version 5.7.R1, 64-bit, Drexel University, Philadelphia, PA, USA) and &#x0201C;bibliometrix&#x0201D; package (<ext-link ext-link-type="uri" xlink:href="https://www.bibliometrix.org/home/">https://www.bibliometrix.org/home/</ext-link>) based on R software (version 4.3.2, <ext-link ext-link-type="uri" xlink:href="https://www.r-project.org">https://www.r-project.org</ext-link>, The R Foundation) were used to analysis articles, countries, institutions, authors, journals, keywords, etc., as well as to visual the results. The visualizations were drawn for displaying the results.</p></sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec>
<title>3.1 Searching and selection procedure</title>
<p>As was shown in <xref ref-type="fig" rid="F1">Figure 1A</xref>, 1,919 related publications were screened from the WoSCC database. After excluding review articles, meeting abstracts, letters, and other types, 1,159 research articles met eligibility criteria. Among them, 839 English studies published between 2004 and 2023 were finally included.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow diagram and annual production. <bold>(A)</bold> Flow diagram of publication searching and selection procedure. <bold>(B)</bold> The annual production of research publications linked to biologics in chronic rhinosinusitis from 2004 to 2023.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdata-07-1428074-g0001.tif"/>
</fig>
</sec>
<sec>
<title>3.2 Annual volume and growth tendency</title>
<p>Research articles linked to biologics in chronic rhinosinusitis exhibited a consistent rising trend from 2004 to 2023, especially the period between 2020 and 2023 (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Average citations per year also showed an overall rising trend (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
</sec>
<sec>
<title>3.3 Distribution and cooperation of research countries/regions</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref> displayed the distribution and cooperation of the top 10 research countries/regions. Most articles were published by authors from the USA (231, 36.96%), followed by Italy (101, 16.16%), Japan (82, 13.12%), China (52, 8.32%), and Germany (52, 8.32%). <xref ref-type="fig" rid="F2">Figure 2A</xref> depicted the distribution of single country publications (SCP) and multiple country publications (MCP) in the top 10 research countries/regions. <xref ref-type="fig" rid="F2">Figure 2B</xref> showed the visual map of country scientific production. Among the top 10 countries, Belgium obtained the highest MCP ratio (0.74). The most cited countries were the USA (9,054 citations), followed by Belgium (3,721 citations), the United Kingdom (1,777 citations), Italy (1,719 citations), Germany (1,532 citations), etc. (<xref ref-type="fig" rid="F2">Figure 2C</xref>). The top five productive countries all acquired a consistent rising trend over time (<xref ref-type="fig" rid="F2">Figure 2D</xref>). USA, Italy, and Japan performed the most cooperation in research with other countries (<xref ref-type="fig" rid="F2">Figures 2E</xref>, <xref ref-type="fig" rid="F2">F</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Distribution and cooperation of top 10 research countries/regions contributing to publications.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>Articles</bold></th>
<th valign="top" align="center"><bold>% (in the top 10 research countries/regions)</bold></th>
<th valign="top" align="center"><bold>SCP</bold></th>
<th valign="top" align="center"><bold>MCP</bold></th>
<th valign="top" align="center"><bold>MCP ratio</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">35.81%</td>
<td valign="top" align="center">169</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">0.268</td>
</tr> <tr>
<td valign="top" align="left">Italy</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">15.66%</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.158</td>
</tr> <tr>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">12.71%</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.037</td>
</tr> <tr>
<td valign="top" align="left">China</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">8.06%</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.096</td>
</tr> <tr>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">8.06%</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.327</td>
</tr> <tr>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">4.96%</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.531</td>
</tr> <tr>
<td valign="top" align="left">Belgium</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">4.19%</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0.741</td>
</tr> <tr>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">4.19%</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.333</td>
</tr> <tr>
<td valign="top" align="left">France</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">3.26%</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.429</td>
</tr> <tr>
<td valign="top" align="left">Canada</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">3.10%</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.500</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>SCP, single country publications; MCP, multiple country publications.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Distribution and cooperation of research countries/regions. <bold>(A)</bold> The distribution of top 10 research countries/regions. <bold>(B)</bold> The distribution visualization of research countries/regions in the world map. The depth of color represents the level of production in a country. The country with the deeper color would acquire higher production. <bold>(C)</bold> The number of citations in the top 10 research countries/regions. <bold>(D)</bold> The trend on country production over time in the top 5 research countries/regions. <bold>(E)</bold> Chord maps for co-operation of research countries. Each outer curve represents a country. Line thickness directly correlates to the strength of collaboration among various countries. <bold>(F)</bold> The co-operation of research countries/regions. The size of each sphere represents the number of publications from that country. SCP, single country publications; MCP, multiple country publications.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdata-07-1428074-g0002.tif"/>
</fig>
</sec>
<sec>
<title>3.4 Distribution and cooperation of authors</title>
<p><xref ref-type="fig" rid="F3">Figure 3A</xref> displayed the production of the top 15 authors. Most articles were published by Bachert C (47 articles), followed by Gevaert P (24 articles), and Mannent LP (19 articles). Among the top 15 authors, Bachert C obtained a consistently rising production over time (<xref ref-type="fig" rid="F3">Figure 3B</xref>). <xref ref-type="fig" rid="F3">Figure 3C</xref> depicted Bachert C and Amin N played vital roles in the network of collaboration between authors. Bachert C, Gevaert P, and Fokkens WJ were considered as the most important roles in the network of co-cited authors (<xref ref-type="fig" rid="F3">Figure 3D</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Distribution and cooperation of authors and institutions. <bold>(A)</bold> The distribution of the top 15 authors. <bold>(B)</bold> The detailed distribution of authors&#x00027; production over time in the top 15 research countries/regions. <bold>(C)</bold> The network of collaboration among authors. <bold>(D)</bold> The network of co-cited authors. <bold>(E)</bold> The distribution of top 15 research institutions. <bold>(F)</bold> The network of collaboration among institutions.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdata-07-1428074-g0003.tif"/>
</fig>
</sec>
<sec>
<title>3.5 Distribution and cooperation of institutions</title>
<p><xref ref-type="fig" rid="F3">Figure 3E</xref> displayed the production of the top 15 institutions. Most articles were published by Northwestern University (66 articles), followed by Ghent University (65 articles), Harvard Medical School (42 articles), Medical University of Vienna (40 articles), and Karolinska Institute (36 articles). Among these institutions, Ghent University and Karolinska Institute played vital roles in the network of collaboration (<xref ref-type="fig" rid="F3">Figure 3F</xref>).</p>
</sec>
<sec>
<title>3.6 Analyses of journals and references</title>
<p><xref ref-type="fig" rid="F4">Figure 4A</xref> displayed the production of the top 15 journals. Most articles were published in <italic>Journal of Allergy and Clinical Immunology</italic> (47 articles), followed by <italic>Allergy</italic> (38 articles), <italic>Journal of Allergy and Clinical Immunology-in Practice</italic> (32 articles), and <italic>Allergy And Asthma Proceedings</italic> (26 articles). The top seven productive journals all published related articles with a consistent rising trend over time (<xref ref-type="fig" rid="F4">Figure 4B</xref>). Among all journals, <italic>Journal of Allergy and Clinical Immunology</italic> and <italic>Allergy</italic> played vital roles in the network of co-cited journals (<xref ref-type="fig" rid="F4">Figure 4C</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Analyses of journals and references. <bold>(A)</bold> The distribution of top 15 journals. <bold>(B)</bold> The detailed distribution of the production over time in the top 7 journals. <bold>(C)</bold> The network of co-cited journals. <bold>(D)</bold> The timeline view of the co-cited clustering plot with cluster labels on references. <bold>(E)</bold> The dual-map overlay of journals on biologics for chronic rhinosinusitis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdata-07-1428074-g0004.tif"/>
</fig>
<p>The timeline view of the clustering plot may indicate emerging research hotspots on biologics for chronic rhinosinusitis (<xref ref-type="fig" rid="F4">Figure 4D</xref>). The application of Benralizumab, dupilumab, and Xolair would be current hotspots to treat chronic rhinosinusitis. The top 15 cited articles were listed in <xref ref-type="table" rid="T2">Table 2</xref>. The study by Bachert et al. (<xref ref-type="bibr" rid="B3">2019</xref>) had the most citations in <italic>Lancet</italic> (676 citations), followed by Bachert et al. (<xref ref-type="bibr" rid="B5">2016</xref>) in <italic>JAMA</italic> (548 citations), and Castro et al. (<xref ref-type="bibr" rid="B8">2011</xref>) in <italic>American Journal of Respiratory and Critical Care Medicine</italic> (533 citations).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Top 15 cited articles.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Articles</bold></th>
<th valign="top" align="left"><bold>Journal</bold></th>
<th valign="top" align="left"><bold>DOI</bold></th>
<th valign="top" align="center"><bold>Total citations</bold></th>
<th valign="top" align="center"><bold>Total citations per year</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bachert C, 2019</td>
<td valign="top" align="left">Lancet</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/S0140-6736(19)31881-1">10.1016/S0140-6736(19)31881-1</ext-link></td>
<td valign="top" align="center">676</td>
<td valign="top" align="center">135.20</td>
</tr> <tr>
<td valign="top" align="left">Bachert C, 2016</td>
<td valign="top" align="left">JAMA</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1001/jama.2015.19330">10.1001/jama.2015.19330</ext-link></td>
<td valign="top" align="center">548</td>
<td valign="top" align="center">68.50</td>
</tr> <tr>
<td valign="top" align="left">Castro M, 2011</td>
<td valign="top" align="left">American Journal of Respiratory and Critical Care Medicine</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1164/rccm.201103-0396OC">10.1164/rccm.201103-0396OC</ext-link></td>
<td valign="top" align="center">533</td>
<td valign="top" align="center">41.00</td>
</tr> <tr>
<td valign="top" align="left">Gevaert P, 2013</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2012.07.047">10.1016/j.jaci.2012.07.047</ext-link></td>
<td valign="top" align="center">494</td>
<td valign="top" align="center">44.91</td>
</tr> <tr>
<td valign="top" align="left">Akdis CA, 2013</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2013.02.036">10.1016/j.jaci.2013.02.036</ext-link></td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">37.73</td>
</tr> <tr>
<td valign="top" align="left">Hanania NA, 2011</td>
<td valign="top" align="left">Annals of Internal Medicine</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7326/0003-4819-154-9-201105030-00002">10.7326/0003-4819-154-9-201105030-00002</ext-link></td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">31.92</td>
</tr> <tr>
<td valign="top" align="left">Gevaert P, 2011</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2011.07.056">10.1016/j.jaci.2011.07.056</ext-link></td>
<td valign="top" align="center">402</td>
<td valign="top" align="center">30.92</td>
</tr> <tr>
<td valign="top" align="left">Beck LA, 2004</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2004.06.032">10.1016/j.jaci.2004.06.032</ext-link></td>
<td valign="top" align="center">375</td>
<td valign="top" align="center">18.75</td>
</tr> <tr>
<td valign="top" align="left">Gevaert P, 2006</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2006.05.031">10.1016/j.jaci.2006.05.031</ext-link></td>
<td valign="top" align="center">337</td>
<td valign="top" align="center">18.72</td>
</tr> <tr>
<td valign="top" align="left">Bal SM, 2016</td>
<td valign="top" align="left">Nature Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1038/ni.3444">10.1038/ni.3444</ext-link></td>
<td valign="top" align="center">335</td>
<td valign="top" align="center">41.88</td>
</tr> <tr>
<td valign="top" align="left">Bachert C, 2017</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2017.05.044">10.1016/j.jaci.2017.05.044</ext-link></td>
<td valign="top" align="center">328</td>
<td valign="top" align="center">46.86</td>
</tr> <tr>
<td valign="top" align="left">Gevaert P, 2020</td>
<td valign="top" align="left">Journal of Allergy and Clinical Immunology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jaci.2020.05.032">10.1016/j.jaci.2020.05.032</ext-link></td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">81.00</td>
</tr> <tr>
<td valign="top" align="left">Detke HC, 2018</td>
<td valign="top" align="left">Neurology</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1212/WNL.0000000000006640">10.1212/WNL.0000000000006640</ext-link></td>
<td valign="top" align="center">306</td>
<td valign="top" align="center">51.00</td>
</tr> <tr>
<td valign="top" align="left">Vignola AM, 2004</td>
<td valign="top" align="left">Allergy</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/j.1398-9995.2004.00550.x">10.1111/j.1398-9995.2004.00550.x</ext-link></td>
<td valign="top" align="center">305</td>
<td valign="top" align="center">15.25</td>
</tr> <tr>
<td valign="top" align="left">Ordovas-Montanes J, 2018</td>
<td valign="top" align="left">Nature</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1038/s41586-018-0449-8">10.1038/s41586-018-0449-8</ext-link></td>
<td valign="top" align="center">277</td>
<td valign="top" align="center">46.17</td>
</tr></tbody>
</table>
</table-wrap>
<p>With citing journals on the left and cited journals on the right, the dual-map overlay of journals displayed the distribution of journals&#x00027; links (<xref ref-type="fig" rid="F4">Figure 4E</xref>). The colored routes can indicate the stated relationships. Due to the limited number of available articles, the trend of this dual-map overlay needed to be further explored.</p>
</sec>
<sec>
<title>3.7 Analysis of keywords</title>
<p><xref ref-type="fig" rid="F5">Figure 5A</xref> displayed the occurrences of the top 10 keywords. Most articles were focused on asthma (175 articles), followed by omalizumab (124 articles), efficacy (119 articles), chronic rhinosinusitis (92 articles), and rhinitis (87 articles). The trend topics were showed in <xref ref-type="fig" rid="F5">Figure 5B</xref>. <xref ref-type="fig" rid="F5">Figure 5C</xref> visually displayed the importance of various keywords. <xref ref-type="fig" rid="F5">Figure 5D</xref> showed the network of keyword co-occurrence. <xref ref-type="fig" rid="F5">Figure 5E</xref> dispalyed the timeline view of the co-cited clustering plot with cluster labels on references. Keyword bursts were detected in <xref ref-type="fig" rid="F5">Figure 5F</xref>. Between 2004 and 2012, &#x0201C;monoclonal antibody&#x0201D; had the highest burst strength (11.39). Between 2013 and 2016, &#x0201C;omalizumab&#x0201D; had the highest burst strength (3.38). Between 2017 and 2020, &#x0201C;double-blind&#x0201D; had the highest burst strength (3.33).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Analyses of keywords. <bold>(A)</bold> The occurrences of top 10 keywords. <bold>(B)</bold> The trend topics. <bold>(C)</bold> The visualization of the importance of various keywords. <bold>(D)</bold> The network of keyword co-occurrence. <bold>(E)</bold> The timeline view of the co-cited clustering plot with cluster labels on references. The size of the sphere is determined by keyword frequency. This visualization may offer insights into the number of keywords within each cluster. <bold>(F)</bold> Keywords with the strongest citation bursts. The chronology is shown by a blue line that cuts through 1 year. The burst period is displayed by a red reflection line marking the start year and finish year.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdata-07-1428074-g0005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>After searching the currently available publications, this was the first application of qualitative bibliometric methods of biologics in chronic rhinosinusitis. In this systematic bibliometric analysis, we analyzed annual volume and growth tendency, research countries/regions, authors, institutions, journals, references, and keywords.</p>
<p>Research articles linked to biologics in chronic rhinosinusitis exhibited a dramatic rising trend from 2020 to 2023. The USA contributed &#x0003E;35% of research articles. Moreover, the USA was the most cited country, enjoying the most active cooperation with other countries/regions. Nevertheless, many publications were contributed by Italy, Japan, and China with fewer collaborations. It indicated that these similar countries should enhance international cooperation with other countries, which would increase more high-quality research articles in this field.</p>
<p>Being far ahead of other authors, Bachert C owned the most publications and collaborations in the field linked to biologics in chronic rhinosinusitis. Most articles of the top 15 authors were published between 2019&#x02013;2023. This aspect indicated that biologics in chronic rhinosinusitis were paid more and more attention in the treatment of chronic rhinosinusitis in recent years. Bachert C, Gavaert P, and Fokkens WJ were the top three co-cited authors.</p>
<p>In terms of the top five institutions, Northwestern University and Harvard Medical School originated from the USA, while Ghent University, Medical University of Vienna, and Karolinska Institute originated from the Netherlands, Austria, and Sweden, respectively. This aspect reflects an globally urgent demand of biologics in the treatment chronic rhinosinusitis. Ghent University and Karolinska Institute had the most collaborations with other institutions, which provided a worthwhile lesson for other institutions.</p>
<p>The most relevant journals linked to biologics in chronic rhinosinusitis were <italic>Journal of Allergy and Clinical Immunology, Allergy</italic>, and <italic>Journal of Allergy and Clinical Immunology-In practice</italic>. Through these high-quality journals, more and more researchers are paying attention to biologics in chronic rhinosinusitis. <italic>Journal of Allergy and Clinical Immunology</italic> and <italic>Allergy</italic> were also the most co-cited journals. These journals led the related research in the field. The top 15 co-cited references demonstrated that the clinical application of biologics in chronic rhinosinusitis was eager to be validate the efficacy and the quality of life. The top 10 high-frequency keywords demonstrated that the researchers focused on the clinical efficacy of various biologics in chronic rhinosinusitis, with various double-blind trials. Based on the gratifying achievements of basic experimental research, the researchers were gradually shifting toward clinical practice, aiming to guide the use of various biologics in suitable patients.</p>
<p>Monoclonal antibodies could be a promising therapy for patients with corresponding phenotypes and endotypes (Avdeeva and Fokkens, <xref ref-type="bibr" rid="B2">2018</xref>; Chapurin et al., <xref ref-type="bibr" rid="B9">2022</xref>). Biologics (omalizumab, dupilumab, benralizumab, etc.) have become an emerging application for chronic rhinosinusitis in recent years (Castro et al., <xref ref-type="bibr" rid="B8">2011</xref>; Bachert et al., <xref ref-type="bibr" rid="B5">2016</xref>, <xref ref-type="bibr" rid="B3">2019</xref>). Current evidence proved that biologics can reduce the size of nasal polyps and improve patients&#x00027; quality of life (Chong et al., <xref ref-type="bibr" rid="B11">2020</xref>; Fokkens et al., <xref ref-type="bibr" rid="B12">2023</xref>). The application of biologics can decrease the use of oral glucocorticoids and the need for reoperation (Bachert et al., <xref ref-type="bibr" rid="B4">2021</xref>; Thamboo et al., <xref ref-type="bibr" rid="B22">2021</xref>). Furthermore, patients&#x00027; quality of life was also concerned in the biologics era (Mullol et al., <xref ref-type="bibr" rid="B18">2022</xref>). Significantly impaired quality of life has been used as a criterion for the patients&#x00027; indication to use biologics. Current biologics are often applied to patients with intractable chronic rhinosinusitis with nasal polyps. Murdaca et al. pointed out the importance of pharmacogenomics in the choice of tailored biologics as TNF-alpha inhibitors in psoriatic arthritis (Murdaca et al., <xref ref-type="bibr" rid="B19">2014a</xref>,<xref ref-type="bibr" rid="B20">b</xref>). Thus, it is urgent to explore novel therapeutic modalities (Fokkens et al., <xref ref-type="bibr" rid="B12">2023</xref>). This analysis indicated that research frontiers on biologics in chronic rhinosinusitis would focus on efficacy, quality of life, safety, children, management, etc.</p>
<p>Unlike previous studies (meta-analysis or narrative reviews), the bibliometric analysis provides a more intuitive visualization of evidence displaying research focal points and global trends across diverse dimensions. Meanwhile, third limitations should be also noticed. Firstly, our results were analyzed based on the currently available publications in the database. Continuous updating of publications might lead to different results. Secondly, the omission of other publication types (books, chapters, letters, etc.) and non-English articles may result in some biases in this analysis. Thirdly, due to the large volume of publications, it was not feasible to comprehensively discuss each publication, potentially affecting the depth of the subarea analysis.</p></sec>
<sec id="s5">
<title>5 Conclusions</title>
<p>In summary, this bibliometric analysis displayed the overall situation and global trend on biologics in chronic rhinosinusitis. The visualization analysis of publications could assist researchers rapidly in understanding the hotspots and trends. Further research is warranted to determine the long-term effects and side effects of biologics in chronic rhinosinusitis.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>G-JH: Conceptualization, Data curation, Investigation, Methodology, Software, Visualization, Writing &#x02013; original draft. Z-JF: Supervision, Validation, Writing &#x02013; review &#x00026; editing. B-QL: Conceptualization, Project administration, Supervision, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by National Demonstration Pilot Project for the Inheritance and Innovative Development of Traditional Chinese Medicine (No. GZYZS2024D07) and (No. YN2024B012), Medical Science and Technology Research Fund of Guangdong Province (No. A2024627), Social Welfare Science and Technology Research Project of Zhongshan City (No. 2023B1068), and Medical Research Project of Zhongshan City (No. 2023J162).</p>
</sec>
<ack><p>We are grateful to Dr. Hui-Zi Li for his technical support.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>WoSCC, Web of Science Core Collection; SCP, single country publications; MCP, multiple country publications.</p></fn></fn-group>
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