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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<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.2026.1765529</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Sentinel lymph node biopsy versus lymphadenectomy in early-stage cervical cancer: a meta-analysis of oncologic outcomes and surgical morbidity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Xiao</surname><given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zeng</surname><given-names>Siyuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Luying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Ruiqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Xiao</surname><given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University</institution>, <city>Chengdu</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Obstetrics and Gynecology, The First People&#x2019;s Hospital of Zigong</institution>, <city>Zigong</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second Hospital, Sichuan University</institution>, <city>Chengdu</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Tianfu Jincheng Laboratory</institution>, <city>Chengdu</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Laboratory of Stem Cell &amp; Embryo Development, West China Second Hospital, Sichuan University</institution>, <city>Chengdu</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xue Xiao, <email xlink:href="mailto:xiaoxuela@scu.edu.cn">xiaoxuela@scu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04">
<day>04</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1765529</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Xiao, Zeng, Li, Wang and Xiao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xiao, Zeng, Li, Wang and Xiao</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>This study aimed to evaluate the oncologic safety of sentinel lymph node biopsy (SLNB) compared with systematic lymph node dissection (LND) in patients with early-stage cervical cancer and to determine whether SLNB alone yields comparable survival outcomes.</p>
</sec>
<sec>
<title>Data sources</title>
<p>Studies published up to October 2025 were systematically searched in PubMed, Embase, and Web of Science using relevant keywords, including &#x201c;sentinel lymph node&#x201d;, &#x201c;cervical cancer&#x201d;, &#x201c;cervical carcinoma&#x201d; and &#x201c;lymphadenectomy.&#x201d;</p>
</sec>
<sec>
<title>Study eligibility criteria</title>
<p>Comparative cohort studies and single-arm studies involving patients with early-stage cervical cancer undergoing SLNB, with or without LND, and reporting survival outcomes&#x2014; including cancer-specific survival (CSS), disease-specific survival (DSS), overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) &#x2014;were included.</p>
</sec>
<sec>
<title>Study appraisal and synthesis methods</title>
<p>The quality of the included studies was assessed using appropriate tools: the Cochrane Risk of Bias 2.0 (RoB 2) tool for randomized controlled trials, the Newcastle&#x2013;Ottawa Scale (NOS) for observational studies, and the Methodological Index for Non-Randomized Studies (MINORS) for single-arm or non-randomized studies. All meta-analyses were performed using the meta package in R. Hazard ratios (HRs) and risk ratios (RRs) with 95% confidence intervals (CIs) were pooled using fixed- or random-effects models depending on heterogeneity. Sensitivity analyses were conducted via leave-one-out analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>The pooled analysis of six comparative studies revealed no significant difference in cancer-specific survival (HR = 0.93, 95% CI: 0.27&#x2013;3.20), overall survival (HR = 0.92 (95% CI: 0.65&#x2013;1.31), disease-free survival (HR = 0.99, 95%CI: 0.00&#x2013;855.48), or progression-free survival (HR = 0.71, 95% CI: 0.29-1.05) between the SLNB and LND groups. SLNB was associated with a significantly lower risk of postoperative complications (RR = 0.70, P = 0.0406), and did not increase the recurrence rate (RR = 0.96, 95% CI: 0.36-2.53) compared with LND. Six single-arm studies reported 5-year OS and DFS rates of 97% and 94%, respectively, following SLNB alone. The pooled SLNB positivity rate across 13&#xa0;studies was 8% (95% CI: 5%&#x2013;12%). Sensitivity analysis confirmed the robustness of the CSS results.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study suggests that SLNB provides oncologic outcomes comparable to LND while reducing surgical morbidity in early-stage cervical cancer. The inclusion of CSS as a validated endpoint reinforces the cancer-specific safety of SLNB, with no significant compromise observed in either OS or PFS. While current evidence is promising, further large-scale prospective trials are needed to refine indications and standardize implementation of SLNB in routine clinical practice.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cervical cancer</kwd>
<kwd>cervical carcinoma</kwd>
<kwd>lymphadenectomy</kwd>
<kwd>meta - analysis</kwd>
<kwd>sentinel lymph node</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. National key research and development program (2022YFC3600304). National key research and development program(2022YFC2704700). Cadre Health Care Committee of Sichuan Province, China (2023-1701). Principal Investigator Foundation of Tianfu Jincheng Laboratory (TFJCPI20250037).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="12"/>
<word-count count="4859"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gynecological Oncology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cervical cancer remains a leading cause of cancer-related morbidity and mortality among women worldwide, especially in low- and middle-income countries (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). While early-stage cervical cancer (FIGO IA2&#x2013;IIA1) is potentially curable with radical hysterectomy and lymphadenectomy, the optimal extent of nodal assessment has been a topic of considerable clinical debate (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Historically, systematic pelvic lymph node dissection (LND) has served as the standard staging and therapeutic procedure, enabling detection of occult metastases and informing adjuvant treatment decisions. However, this approach is associated with significant short- and long-term complications, including lymphocyst formation, lymphedema, neurovascular injury, and prolonged recovery (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Sentinel lymph node biopsy (SLNB) has emerged as a less invasive alternative, aiming to maintain diagnostic accuracy while minimizing surgical morbidity. The SLNB technique, initially established in breast cancer and melanoma, has gained traction in gynecologic oncology due to advancements in tracers (e.g., indocyanine green), imaging, and ultrastaging pathology (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Several prospective and retrospective studies have reported high sensitivity, negative predictive value, and bilateral detection rates with SLNB in early cervical cancer (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). However, concerns remain regarding false-negative rates, especially in patients with large tumors, lymphovascular space invasion (LVSI), or non-standard SLNB drainage.</p>
<p>Recent randomized controlled trials, such as the PHENIX and SENTICOL studies, suggest that SLNB alone may offer non-inferior oncologic outcomes compared to full pelvic LND, while significantly reducing perioperative and long-term complications (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Nevertheless, clinical guidelines remain cautious, and consensus is lacking on whether SLNB alone can safely replace systematic LND across all patient subsets (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Given the growing body of evidence and emerging data from high-quality studies, a systematic review and meta-analysis is warranted to synthesize current findings. This study integrates data from randomized trials and prospective cohorts to compare SLNB and pelvic LND in early-stage cervical cancer, with a primary focus on oncologic safety&#x2014;as measured by cancer-specific survival (CSS)&#x2014;and a secondary focus on overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), recurrence rate and postoperative morbidity. The results will help clarify the role of SLNB in standard surgical management and inform future clinical guidelines.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Search strategy and study selection</title>
<p>This meta-analysis was conducted in accordance with the PRISMA guidelines with the registration (<xref ref-type="bibr" rid="B18">18</xref>). A comprehensive literature search was performed in PubMed, Embase, and Web of Science from inception to October 2025. Search terms included combinations of &#x201c;sentinel lymph node&#x201d;, &#x201c;SLNB&#x201d;, &#x201c;cervical cancer&#x201d;, &#x201c;cervical carcinoma&#x201d; and &#x201c;lymphadenectomy&#x201d;. Eligible studies were comparative or single-arm designs reporting survival outcomes in early-stage cervical cancer patients who underwent SLNB, with or without LND. Duplicate records were removed, and titles, abstracts, and full texts were screened independently by two reviewers.</p>
</sec>
<sec id="s2_2">
<title>Inclusion and exclusion criteria</title>
<p>Studies were included if they: (1) involved patients with early-stage cervical cancer (FIGO 2009 stage IA1&#x2013;IIA1); (2) reported at least one of the following outcomes: CSS, DSS, OS, PFS, and DFS, or SLNB positivity rate; and (3) provided sufficient data to calculate hazard ratios (HRs) or risk ratios (RRs) with 95% confidence intervals (CIs). Reviews, case reports, and studies with overlapping populations were excluded.</p>
</sec>
<sec id="s2_3">
<title>Data extraction and quality assessment</title>
<p>Two independent reviewers extracted data on study characteristics, patient demographics, surgical techniques, and survival outcomes. For consistency across studies, DSS data were treated as equivalent to CSS and were pooled under the CSS category during meta-analysis. Discrepancies were resolved by consensus or a third reviewer. For comparative studies, HRs and RRs with 95% CIs were extracted directly or estimated using Tierney&#x2019;s method when not explicitly reported. For single-arm studies, proportions and corresponding 95% CIs were calculated. The Cochrane Risk of Bias 2.0 tool was used for randomized controlled trials (RCTs) (<xref ref-type="bibr" rid="B19">19</xref>), the Newcastle-Ottawa Scale (NOS) for observational studies (<xref ref-type="bibr" rid="B20">20</xref>), and the Methodological Index for Non-Randomized Studies (MINORS) for single-arm or non-randomized studies (<xref ref-type="bibr" rid="B21">21</xref>). Risk of bias assessment was independently conducted by two reviewers.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>All statistical analyses were performed using R (version 4.5.1) within RStudio, utilizing the &#x2018;meta&#x2019; and &#x2018;metafor&#x2019; packages for pooled effect size estimation, forest plot generation, and sensitivity analyses. Pooled HRs and RRs were calculated using fixed-effects models when heterogeneity was low (I&#xb2; &lt; 50%) and random-effects models otherwise. Heterogeneity was assessed using the I&#xb2; statistic and Chi&#xb2; test. Sensitivity analyses were conducted via leave-one-out meta-analysis to test the robustness of the pooled results. Publication bias was not formally assessed due to the limited number of studies for each outcome.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Study selection</title>
<p>Of 2,250 records identified from databases, 1,750 duplicates and 366 ineligible or irrelevant records were removed. After screening 134 records, 71 were excluded. Of the 63 reports sought for retrieval, 29 were unavailable. Following full-text assessment of 34 articles, 17 were excluded due to unrelated or unavailable data. A total of 17 studies were included: 6 for single-arm meta-analysis, 6 for two-arm meta-analysis, and another 5 reporting sentinel lymph node rates. The literature retrieval process is illustrated 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 plot of the literature selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g001.tif">
<alt-text content-type="machine-generated">PRISMA 2020 flow diagram illustrating the selection process for systematic reviews: out of 2,250 records identified, 1,750 duplicates plus additional exclusions were removed, 134 were screened, and after successive exclusions, 17 final studies included.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<title>Study characteristics</title>
<p>The meta-analysis included a total of 3,855 patients, comprising 1,156 patients from six single-arm studies and 2,699 patients from&#xa0;five comparative studies. Among the comparative studies, 1,239 patients underwent sentinel lymph node biopsy (SLNB) and 1,460 patients underwent lymphadenectomy (LND), with or without concurrent SLNB (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of studies included in this meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Study, year</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Country</th>
<th valign="middle" align="center">Duration</th>
<th valign="middle" align="center">Sample size (SLNB/LND)</th>
<th valign="middle" align="center">Age (SLNB/LND)</th>
<th valign="middle" align="center">Median follow-up (months)</th>
<th valign="middle" align="center">Stage(year)</th>
<th valign="middle" align="center">Summary statistics</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Tu H et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">December 2015-December 2023</td>
<td valign="middle" align="center">420/418</td>
<td valign="middle" align="center">48/49</td>
<td valign="middle" align="left">62.8(8.9-110.1)</td>
<td valign="middle" align="left">IA1(LVSI), IA2, IB1, IIA1</td>
<td valign="middle" align="left">3-year DFS(SLNB 96.9% vs LND 94.6%)HR=0.61 (95% CI: 0.33&#x2013;1.14);CSS (SLNB 96.9% vs LND 97.8%)HR = 0.37 (95% CI: 0.15&#x2013;0.95);Recurrence(SLNB 16/420 vs LND 26/418);All complications (244/420 vs298/418)</td>
</tr>
<tr>
<td valign="middle" align="left">Martin et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Spain</td>
<td valign="middle" align="left">SLN + PLD group(2001&#x2013;2011)<break/>SLN-only group(2012&#x2013;2022)</td>
<td valign="middle" align="center">112/98</td>
<td valign="middle" align="center">43.3/45.4</td>
<td valign="middle" align="left">80(3&#x2013;275)</td>
<td valign="middle" align="left">IA1 &#x2013; IIA1</td>
<td valign="middle" align="left">3-year PFS:97.2% vs 93.7%HR=0.66(95%CI0.22 -2.04);3-year OS:99.0% vs 98.9%HR=0.28(95%CI0.03 -2.53);Recurrence(SLN+PLD 8/98 vs SLN 5/112;)Positive SLN Rate:23/210 (11%)</td>
</tr>
<tr>
<td valign="middle" align="left">Friedman et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">United States</td>
<td valign="middle" align="left">2004&#x2013;2021</td>
<td valign="middle" align="center">365/391</td>
<td valign="middle" align="center">42/43</td>
<td valign="middle" align="left">SLNB 28.8/LND50.4</td>
<td valign="middle" align="left">AJCC T1 (T1a and T1b)</td>
<td valign="middle" align="left">5-year CSS (SLNB 96.5% vs LND 95.7%)HR = 1.25 (95% CI: 0.45&#x2013;3.47);5-year OS:95.3% vs 94.6%HR=0.96(95%CI0.41 -2.25)</td>
</tr>
<tr>
<td valign="middle" align="left">Balaya V et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">January 2005 &#x2013; July 2012</td>
<td valign="middle" align="left">87/172</td>
<td valign="middle" align="left">43.9/43.3</td>
<td valign="middle" align="left">53(5&#x2013;85)/46(4&#x2013;127)</td>
<td valign="middle" align="left">IA1(LVSI), IA2, IB1, IB2, IIA1</td>
<td valign="middle" align="left">7-year DFS(SLNB 85.1% vs LND 80.4%)HR = 1.78 (95% CI: 0.71&#x2013;4.46); DSS(SLNB 90.8% vs LND 97.2%)HR = 3.02 (95% CI: 0.69&#x2013;13.18); Recurrence(SLNB 10/87 vs LND 11/172)</td>
</tr>
<tr>
<td valign="middle" align="left">Matsuo et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">United States</td>
<td valign="middle" align="left">2003-2018</td>
<td valign="middle" align="center">150/280</td>
<td valign="middle" align="center">45/44</td>
<td valign="middle" align="left">SLNB23/LND84</td>
<td valign="middle" align="left">IA(119)IB(305)</td>
<td valign="middle" align="left">5-year OS:94.8% vs 94.2%, HR: 0.95, 95% CI: 0.64-1.41, p=0.799);CSS: HR 0.90,95% CI: 0.49&#x2013;1.64,P = 0.720;</td>
</tr>
<tr>
<td valign="middle" align="left">Mathevet P et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">March 2009-June 2012</td>
<td valign="middle" align="center">105/101</td>
<td valign="middle" align="center">44.2/44.6</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">IA1 (with LVSI), IA2, IB1 (majority), IIA1</td>
<td valign="middle" align="left">3-year PFS(SLNB 92% vs LND 94%, HR = 0.76 (95% CI: 0.25&#x2013;2.34)Log-rank: p=0.48);Recurrence(SNB 8/105 vs PLND 5/101);All complications (33/105 vs 56/101)</td>
</tr>
<tr>
<td valign="middle" align="left">Gortzak-Uzan et&#xa0;al., 2010 (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Canada</td>
<td valign="middle" align="left">2000&#x2013;2008</td>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">38.2</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">IA:32 IB:49</td>
<td valign="middle" align="left">DFS: 91%;Positive SLN rate:14( 17.3%)</td>
</tr>
<tr>
<td valign="middle" align="left">Lennox et&#xa0;al., 2017 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">Canada</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="center">110</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">IA(32) and IB(45)</td>
<td valign="middle" align="left">DFS:93%;Positive SLN rate:0</td>
</tr>
<tr>
<td valign="middle" align="left">Balaya et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">2005-2016</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">IA(9)IB(74)IIA1(3)IIB(1)</td>
<td valign="middle" align="left">DFS: 85.1%;OS: 90.8%;Positive SLN rate:0</td>
</tr>
<tr>
<td valign="middle" align="left">Devaja et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="middle" align="left">cohort</td>
<td valign="middle" align="left">United Kingdom</td>
<td valign="middle" align="left">January 2009-January 2019</td>
<td valign="middle" align="center">103</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">IA1 (with LVSI), IA2, IB1 (tumor &lt;2 cm)</td>
<td valign="middle" align="left">DFS:93%;OS:99.1%;Positive SLN rate:7 (6.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">Yahata et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">2009-2017</td>
<td valign="middle" align="center">181</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="left">83.5</td>
<td valign="middle" align="left">IA(24)IB(154)IIA1(3)</td>
<td valign="middle" align="left">DFS:98.9%;OS:99.4%;Positive SLN rate:8(4.4%)</td>
</tr>
<tr>
<td valign="middle" align="left">Cibula et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="middle" align="left">cohort</td>
<td valign="middle" align="left">Multinational</td>
<td valign="middle" align="left">July 2016-November 2020</td>
<td valign="middle" align="center">594</td>
<td valign="middle" align="center">43.8</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">IA1 with LVSI+, IA2, IB1, IB2 (Majority: IB1 53%, IB2 31%)</td>
<td valign="middle" align="left">5-year DFS:89.9%;5-year OS:93.4%;Positive SLN rate: 9%</td>
</tr>
<tr>
<td valign="middle" align="left">L&#xfc;hrs et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">cohort</td>
<td valign="middle" align="left">Sweden</td>
<td valign="middle" align="left">2018-2021</td>
<td valign="middle" align="center">145</td>
<td valign="middle" align="center">43.6</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">IA1 (with LVSI), IA2, IB1 (majority), few IB2 and IIA included</td>
<td valign="middle" align="left">Positive SLN rate: 19/145 (13.1%)</td>
</tr>
<tr>
<td valign="middle" align="left">Ya et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">May 2017 &#x2013; December 2019</td>
<td valign="middle" align="center">325(SLNB+LM)</td>
<td valign="middle" align="center">46</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">Ia2&#x2013;IIa2</td>
<td valign="middle" align="left">Positive SLN rate:44(12.3%)</td>
</tr>
<tr>
<td valign="middle" align="left">Tu et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="left">prospective</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">May 2014 - June 2016</td>
<td valign="middle" align="center">75(SLNB+LM)</td>
<td valign="middle" align="center">46</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">IA2, IB1, IB2, IIA1, IIA2, IIB</td>
<td valign="middle" align="left">Positive SLN rate:11(14.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">Mayoral et&#xa0;al., 2017 (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">prospective</td>
<td valign="middle" align="left">Spain</td>
<td valign="middle" align="left">June 2011 - January 2013</td>
<td valign="middle" align="center">17(SLNB+LM)</td>
<td valign="middle" align="center">53.3</td>
<td valign="middle" align="left">26</td>
<td valign="middle" align="left">IA1 (1 patient), IB1 &lt;2 cm (16 patients)</td>
<td valign="middle" align="left">Positive SLN rate:1(5.8%)</td>
</tr>
<tr>
<td valign="middle" align="left">Bats et&#xa0;al., 2007 (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">January 2003-March 2006</td>
<td valign="middle" align="center">25(SLNB+LM)</td>
<td valign="middle" align="center">51.2 &#xb1; 16.4</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">IA2;IB1 &lt;2 cm:</td>
<td valign="middle" align="left">Positive SLN rate:2(8%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Studies varied in geographic origin, sample size (range: 81&#x2013;838), and follow-up duration (median range: 13&#x2013;83.5 months). Most studies employed dual tracers for SLNB, and ultrastaging pathology was applied in five studies. All studies enrolled patients with early-stage cervical cancer (FIGO IA2&#x2013;IIA1).</p>
</sec>
<sec id="s3_3">
<title>Quality assessment of included studies</title>
<p>The two randomized controlled trials assessed using the RoB 2.0 tool were judged to have an overall low risk of bias. Four observational studies evaluated with the Newcastle&#x2013;Ottawa Scale achieved high-quality scores. Non-randomized and single-arm six studies assessed with the MINORS tool demonstrated fair to moderately high quality, indicating generally reliable but design-limited evidence. Overall, the methodological quality of the included studies was acceptable (<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>Quality assessment of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="8" align="left">Quality assessment table</th>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">RoB 2.0 &#x2013; Cochrane risk of bias tool for randomized trial</th>
</tr>
<tr>
<th valign="middle" align="left">Study</th>
<th valign="middle" align="left">Study design</th>
<th valign="middle" align="left">Randomization (low/high risk)</th>
<th valign="middle" align="left">Intervention bias (low/high risk)</th>
<th valign="middle" align="left">Missing data bias (low/high risk)</th>
<th valign="middle" align="left">Outcome measurement bias (low/high risk)</th>
<th valign="middle" align="left">Reporting bias (low/high risk)</th>
<th valign="middle" align="left">Overall risk of nias</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Tu H et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">Mathevet P et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
<td valign="middle" align="left">Low</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Newcastle-Ottawa Scale (NOS)</th>
</tr>
<tr>
<td valign="middle" align="left">Study</td>
<td valign="middle" align="left">Selection</td>
<td valign="middle" align="left">Comparability</td>
<td valign="middle" align="left">Outcome</td>
<td valign="middle" align="left">Total Score</td>
<td valign="middle" align="left">Quality</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Friedman et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Matsuo et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Martin et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Balaya V et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Methodological index for non-randomized studies</th>
</tr>
<tr>
<td valign="middle" align="left">Author</td>
<td valign="middle" align="left">Prospective</td>
<td valign="middle" align="left">MINORS Score</td>
<td valign="middle" align="left">Quality</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Devaja et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">Moderate</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">L&#xfc;hrs et al., 2021 (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">Moderate</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Gortzak-Uzan et&#xa0;al., 2010 (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">Fair</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lennox et al., 2017 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">Moderate</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Balaya et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">Partial</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">Moderately High</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Yahata et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">Moderate</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Oncologic outcomes in two-arm studies</title>
<p>Four studies compared cancer-specific survival between SLNB and LND in early-stage cervical cancer patients (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Due to moderate heterogeneity (I&#xb2; = 54.0%, p=0.0886), a random-effects model was used. The pooled hazard ratio was 0.93 (95% CI: 0.27-3.20), indicating no statistically significant difference in CSS between SLNB and LND, although the point estimate leaned slightly in favor of SLNB (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of oncologic outcomes in two-arm studies. <bold>(A)</bold> cancer-specific survival (CSS); <bold>(B)</bold> progression-free survival (PFS); <bold>(C)</bold> OS, overall survival; SLNB, Sentinel Lymph Node Biopsy; LND, lymph node dissection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g002.tif">
<alt-text content-type="machine-generated">Forest plot graphic displays meta-analysis results for four outcomes: cancer-specific survival, progression-free survival, overall survival, and disease-free survival comparing SLN and LND, presenting hazard ratios, confidence intervals, weights, and heterogeneity for each included study. </alt-text>
</graphic></fig>
<p>Three studies reported hazard ratios for progression-free survival (PFS) (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>). All individual studies showed non-significant results but tended to favor SLNB. The pooled estimate from a fixed-effect model (due to zero heterogeneity, I&#xb2; = 0.0%) yielded a hazard ratio of 0.71 (95% CI: 0.29-1.05, p=0.86). This suggests no statistically significant difference in PFS between SLNB and LND (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>).</p>
<p>A meta-analysis of three studies evaluating overall survival (OS) demonstrated low heterogeneity (I&#xb2; =0.0%), justifying the use of a fixed-effect model (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The pooled hazard ratio was 0.92 (95%CI: 0.65-1.31, p=0.5654), indicating no significant survival difference between SLNB and LND (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>).</p>
<p>Two studies assessed disease-free survival (DFS) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The combined analysis using a random-effects model due to high heterogeneity (I&#xb2; = 72.1%, p = 0.0583) yielded a hazard ratio of 0.99 (95% CI: 0.00&#x2013;855.48). The extremely wide confidence interval reflects instability due to the limited number of studies and significant between-study variability. These results suggest substantial uncertainty in the true comparative effectiveness of SLNB versus LND for DFS (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>).</p>
</sec>
<sec id="s3_5">
<title>Surgical morbidity and recurrence</title>
<p>Two studies evaluated the risk of postoperative overall complications following SLNB versus LND (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The meta-analysis showed that patients undergoing SLNB had a significantly lower risk of postoperative complications compared to those receiving systematic lymphadenectomy, with a pooled risk ratio (RR) of 0.70 (95% CI: 0.50&#x2013;1.00, p = 0.0406). The&#xa0;heterogeneity among studies was substantial (I&#xb2; = 76.2%), and a random-effects model was applied. These findings suggest that SLNB may significantly reduce postoperative morbidity in early-stage cervical cancer, although variability between studies warrants cautious interpretation (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of <bold>(A)</bold> complications and <bold>(B)</bold> recurrence rate. SLNB Sentinel Lymph Node Biopsy; LND, lymph node dissection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g003.tif">
<alt-text content-type="machine-generated">Forest plot comparing SLNB and LND for complications and recurrence; section A shows two studies with pooled risk ratio for complications as 0.70 (95% CI: 0.50&#x2013;1.00), section B shows four studies with pooled risk ratio for recurrence as 0.96 (95% CI: 0.36&#x2013;2.53).</alt-text>
</graphic></fig>
<p>Four studies compared recurrence rates between SLNB and LND groups (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The pooled analysis using a random-effects model demonstrated no statistically significant difference in recurrence risk between the two surgical approaches (RR = 0.96, 95% CI: 0.36-2.53, p=0.1093). Moderate heterogeneity was observed (I&#xb2; =50.4%), suggesting variability in effect estimates across studies. Although the pooled point estimate slightly favored SLNB, the wide confidence intervals indicate considerable uncertainty. Overall, these results suggest that SLNB may provide a recurrence risk comparable to LND in early-stage cervical cancer patients (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>).</p>
</sec>
<sec id="s3_6">
<title>Oncologic outcomes in single-arm studies</title>
<p>Six single-arm studies reported disease-free survival (DFS) rates following SLNB in early-stage cervical cancer (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The pooled 5-year DFS rate was 94% (95% CI: 90%&#x2013;97%), reflecting favorable long-term disease control with SLNB alone. Despite the strong overall estimate, substantial heterogeneity was observed (I&#xb2;=79.8%, p=0.0002), likely due to differences in study design, population risk profiles, and follow-up durations (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of oncologic outcomes in single-arm studies. <bold>(A)</bold> disease-free survival (DFS); <bold>(B)</bold> overall survival (OS).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g004.tif">
<alt-text content-type="machine-generated">Forest plot graphic showing disease-free survival rate (panel A) and overall survival rate (panel B) for multiple studies, with proportions, 95 percent confidence intervals, and pooled random effects models. Both models show low heterogeneity estimates and high survival rates.</alt-text>
</graphic></fig>
<p>Four single-arm studies evaluated OS following SLNB in patients with early-stage cervical cancer (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The pooled 5-year OS rate was 97% (95% CI: 92%-99%), suggesting favorable long-term survival outcomes with SLNB alone. However, heterogeneity across studies was high (I&#xb2;=87.4%, p &lt; 0.0001), indicating variability in patient populations or study protocols (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>).</p>
</sec>
<sec id="s3_7">
<title>Sensitivity analysis of cancer-specific survival</title>
<p>A leave-one-out sensitivity analysis was conducted to assess the robustness of the pooled hazard ratio (HR) for cancer-specific survival (CSS) under a random-effects model. Sequential omission of each study yielded pooled HRs ranging from 0.76 to 1.15, with all 95% confidence intervals encompassing the null value (HR = 1.0), indicating no significant change in the overall conclusion. Notably, omission of Tu H et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>) resulted in the highest pooled HR of 1.15 (95% CI: 0.34&#x2013;3.91), suggesting that this study had a substantial influence on the observed benefit of SLNB. In contrast, exclusion of Balaya et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) yielded the lowest pooled HR of 0.76 (95% CI: 0.18&#x2013;3.23), slightly reinforcing the advantage of SLNB. Overall, these findings indicate that the observed effect (pooled HR = 0.93, 95% CI: 0.27-3.20) is not driven by any single study and is therefore robust (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of a leave-one-out sensitivity analysis across three studies using a random-effects model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g005.tif">
<alt-text content-type="machine-generated">Forest plot illustrating sensitivity analysis results for meta-analysis, showing hazard ratios and ninety-five percent confidence intervals when omitting each listed study. Random effects model summary hazard ratio is zero point ninety-three with confidence interval zero point twenty-seven to three point twenty.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_8">
<title>Sentinel lymph node positivity rate</title>
<p>A total of 13 studies (including both single-arm and comparative designs) reported the sentinel lymph node (SLN) positivity rate in patients with early-stage cervical cancer undergoing SLNB (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). The pooled SLNB positivity rate was 8% (95% CI: 5%-12%), based on a random-effects model. Substantial heterogeneity was observed across studies (I&#xb2;=88.2%, p&#x2009;&lt;&#x2009;0.0001), likely reflecting differences in patient selection, tumor characteristics, and SLNB protocols (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Forest plot of SLNB positivity rate of 13 studies using a random-effects model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1765529-g006.tif">
<alt-text content-type="machine-generated">Forest plot displaying SLNB positive rates from multiple studies, with each study&#x2019;s point estimate, confidence interval, and corresponding data, alongside a summary diamond representing a random effects model with a pooled proportion of 0.08 and confidence interval 0.05 to 0.12; heterogeneity I-squared is eighty-eight point two percent.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<sec id="s4_1">
<title>Summary of main findings</title>
<p>This meta-analysis comprehensively evaluated the oncologic safety of SLNB in early-stage cervical cancer, integrating evidence from both comparative and single-arm studies. Across six controlled studies comparing SLNB with systematic LND, no significant differences were found in cancer-specific survival (CSS, HR = 0.93), overall survival (OS, HR = 0.92), progression-free survival(PFS, HR = 0.71), recurrence rate(RR,RR = 0.96), or disease-free survival (DFS, HR = 0.99). SLNB was, however, associated with a significantly lower risk of postoperative complications (RR = 0.70, p=0.0406), emphasizing its benefit in reducing surgical morbidity without compromising oncologic outcomes.</p>
<p>Importantly, this study places CSS at the forefront&#x2014;a rarely reported yet clinically meaningful endpoint that excludes non-cancer mortality. By pooling CSS data from four high-quality studies, we obtained a more precise measure of oncologic safety, confirming that SLNB does not increase cervical cancer-specific mortality. This refined metric is particularly valuable in younger patients where competing mortality risks can obscure oncologic efficacy in OS analysis.</p>
<p>Sensitivity analysis confirmed the robustness of the CSS finding. Leave-one-out analysis showed that removal of any single study did&#xa0;not substantially alter the pooled HR (range: 0.27-3.20), and all&#xa0;confidence intervals remained non-significant. The slight shift observed after excluding Tu H et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>)(HR = 1.15) suggests moderate influence, but the overall conclusion remained unchanged.</p>
<p>To further strengthen the evidence base, we incorporated data from six single-arm studies evaluating SLNB alone. These showed pooled 5-year OS and DFS rates of 97% and 94%, respectively, confirming excellent long-term outcomes in patients managed without additional lymphadenectomy. These findings reinforce the premise that, in appropriately selected patients, SLNB alone provides durable disease control.</p>
<p>Additionally, analysis of 13 studies reporting SLNB positivity rates revealed a pooled detection rate of 8% (95% CI: 5%-12%), indicating a relatively low burden of nodal metastasis in this population. This further supports the feasibility of a limited-node strategy, as the majority of patients are unlikely to benefit from full pelvic LND.</p>
<p>In summary, our findings provide robust evidence that SLNB is oncologically safe and clinically advantageous, particularly when cancer-specific endpoints are considered. The combination of favorable survival outcomes, reduced surgical morbidity, and low nodal involvement suggests that SLNB may serve as an effective standalone staging approach in selected patients with early-stage cervical cancer.</p>
</sec>
<sec id="s4_2">
<title>Comparison with previous literature</title>
<p>The primary outcome, CSS, did not differ significantly between the groups. Tu et&#xa0;al. showed a significant reduction in CSS favoring SLNB (HR: 0.37, 95% CI: 0.15&#x2013;0.93) (<xref ref-type="bibr" rid="B5">5</xref>), whereas Friedman et&#xa0;al., Matsuo et&#xa0;al. and Balaya et&#xa0;al. reported non-significant associations (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B22">22</xref>). While previous large-scale meta-analyses have consistently established the equivalence of SLNB and systematic LND in OS and recurrence or PFS (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>), direct pooled estimates for CSS have been notably absent. Our finding of non-inferior CSS (P = 0.088) is a pivotal contribution to address this gap directly, offering the most precise quantitative evidence to date that the SLNB strategy does not lead to an increase in cervical cancer-related mortality. This refined metric is especially critical for this patient population, as it isolates the oncologic efficacy of the procedure from competing risks of death, which can often obscure the true treatment effect in OS analyses of younger cohorts (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>The excellent long-term survival outcomes observed in our study are strongly corroborated by high-quality prospective and comparative studies. The PHENIX trial demonstrated equivalent 3-year DFS between the LNB groups (94.9% vs 92.0%) (<xref ref-type="bibr" rid="B5">5</xref>). Similarly, the SENTICOL study, no significant difference was observed between the LNB and LND groups, with HR = 1.78 (95% CI: 0.71-4.46) for DFS and HR = 3.02 (95% CI: 0.69-13.18) for CSS (<xref ref-type="bibr" rid="B15">15</xref>). Another analysis reported both 5-year DFS and OS exceeding 90% after SLNB alone, with no significant difference from survival after full LND (<xref ref-type="bibr" rid="B29">29</xref>) (<xref ref-type="bibr" rid="B31">31</xref>). DFS estimates across studies ranged from 85% to 99%. While Balaya et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) reported the lowest rate (85%, 95% CI: 76%&#x2013;92%), Yahata et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) and Devaja et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>) documented near-complete disease-free survival at 99% and 97%, respectively. Individual study estimates OS ranged from 91% to 99%, with Devaja et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>) and Yahata et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) both reporting near-perfect survival rates (99%), while Balaya et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) reported a lower estimate of 91% (95% CI: 83%-96%). Our pooled 5-year OS and DFS rates of 97% and 94% from single-arm studies further solidify these findings, confirming that durable disease control can be reliably achieved when SLNB alone is used to guide subsequent management in node-negative patients.</p>
<p>Furthermore, the significant reduction in postoperative complications (RR = 0.70) associated with SLNB that we identified reinforces a key clinical advantage of this approach. Previous meta-analysis detailed a marked decrease in intraoperative bleeding, lymphocyst formation, and lower-limb lymphedema, directly translating to a superior patient-reported quality of life (<xref ref-type="bibr" rid="B32">32</xref>). This reduction in surgical morbidity, without any compromise in oncologic outcomes, represents a major step forward in the surgical management of early-stage cervical cancer.</p>
<p>Several studies, including those by Lennox et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>), Balaya et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>), and Devaja et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>), reported extremely low positivity rates (0-4%), whereas others, such as Gortzak-Uzan et&#xa0;al. (<xref ref-type="bibr" rid="B10">10</xref>) and Tu et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>), reported rates exceeding 13%. Despite this variability, the overall pooled estimate reflects a relatively low rate of SLN metastasis in early-stage disease, reinforcing the clinical value of SLNB as a low-burden staging modality. The diagnostic performance of SLNB also remains robust in early-stage cervical cancer. A large multicenter trial reported an overall detection rate of 96.3% and a bilateral detection rate of 82.0% (<xref ref-type="bibr" rid="B33">33</xref>). Meta-analytic evidence further estimates the pooled side-specific sensitivity of SLNB to be approximately 88% (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Our analysis builds upon these results by incorporating both comparative and single-arm evidence and by integrating more recent data through 2025. This&#xa0;updated synthesis reinforces SLNB&#x2019;s clinical utility as a precise and less invasive staging approach in early cervical cancer.</p>
</sec>
<sec id="s4_3">
<title>Clinical implications</title>
<p>The findings of this meta-analysis have direct implications for surgical decision-making in early-stage cervical cancer. The comparable survival outcomes observed between SLNB and systematic LND&#x2014;including CSS, DFS, OS, and PFS&#x2014;demonstrate the oncologic safety of SLNB as a less invasive surgical strategy. Importantly, the significantly lower postoperative complication rate associated with SLNB highlights its potential to reduce treatment-related morbidity without compromising long-term survival.</p>
<p>These results are particularly relevant for patients with low-risk clinical profiles, in whom the probability of lymph node metastasis is low and the potential harm of over treatment is high. By limiting surgical extent, SLNB offers a alternative for selected women, aligning with the principles of precision medicine and patient-centered care. At the same time, performing less extensive surgery reduces physical strain on the surgeon.</p>
<p>Moreover, the inclusion of CSS as a primary endpoint strengthens the evidence base by isolating cancer-related mortality, making the oncologic equivalence of SLNB even more clinically credible. Given the accumulating data from both comparative and single-arm studies, SLNB may be reasonably considered as a standalone surgical approach in appropriately selected patients. These findings may inform future guidelines and promote broader adoption of SLNB in clinical practice, provided that institutional expertise and SLN mapping protocols are in place.</p>
</sec>
<sec id="s4_4">
<title>Limitations and future directions</title>
<p>This meta-analysis has several limitations that warrant consideration. First, although multiple comparative studies were included, the total number of trials reporting CSS, DFS and PFS was limited, reducing the statistical power for these endpoints. Second, heterogeneity in surgical techniques, SLNB detection methods (e.g., dye vs. tracer combinations), and pathological ultrastaging protocols across studies may have introduced clinical variability, potentially affecting outcome comparability. Third, most included studies were retrospective in nature and subject to inherent selection bias. In particular, patients selected for SLNB may have had more favorable disease characteristics, which could confound the apparent non-inferiority of SLNB compared to LND. Furthermore, variations in follow-up duration and lack of uniform reporting on recurrence patterns limited the ability to assess long-term disease control comprehensively. Another limitation is that few studies stratified outcomes based on SLNB positivity status, limiting subgroup analysis for patients with micrometastasis or isolated tumor cells. The inclusion of single-arm studies, while valuable for evaluating long-term survival in SLNB-only cohorts, limits direct comparative interpretation.</p>
<p>Future prospective randomized controlled trials (RCTs) with standardized SLNB protocols and long-term follow-up are essential to validate the oncologic equivalence of SLNB. Studies should also evaluate cost-effectiveness, patient-reported outcomes, and the integration of SLNB with minimally invasive surgery or fertility-sparing approaches. Finally, the incorporation of molecular markers and artificial intelligence&#x2013;assisted imaging may further enhance the accuracy and applicability of SLNB in cervical cancer.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This meta-analysis demonstrates that SLNB is an oncologically safe and clinically viable alternative to systematic LND in early-stage cervical cancer. SLNB achieved comparable outcomes in CSS, DFS, OS, PFS, while significantly reducing postoperative complications. The inclusion of CSS as a primary endpoint and its confirmed robustness through sensitivity analysis further reinforces the reliability of SLNB in preserving cancer-related outcomes.</p>
<p>Although several studies have already contributed valuable evidence, further large-scale, well-controlled trials are needed to consolidate SLNB&#x2019;s role across diverse clinical scenarios. These efforts will be essential to refine patient selection, standardize practice, and support broader implementation of SLNB as a standalone staging strategy in selected patients.</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/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CX: Data curation, Writing &#x2013; original draft, Conceptualization, Writing &#x2013; review &amp; editing, Software. SZ: Software, Writing &#x2013; original draft, Methodology, Project administration. LL: Formal analysis, Writing &#x2013; original draft, Data curation. RW: Writing &#x2013; original draft, Funding acquisition, Software, Investigation. XX: Project administration, Supervision, Writing &#x2013; review &amp; editing, Visualization.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" 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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3022810">Anisa Mburu</ext-link>, The Aga Khan Hospital, Kenya</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1587564">Giorgio Bogani</ext-link>, Sapienza University of Rome, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2974631">Xing Fan</ext-link>, Changsha Hospital for Maternal and Child Health Care, China</p></fn>
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