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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1607338</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Liver resection versus radiofrequency ablation for hepatocellular carcinoma: A systemic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>He</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Song</surname>
<given-names>Guolang</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yang</surname>
<given-names>Guangchao</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Xuan</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Meng</given-names>
</name>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Yanhui</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3028399/overview"/>
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</contrib-group>
<aff id="aff1">
<institution>Department of General Surgery, Shenzhen Baoan Shiyan People&#x2019;s Hospital</institution>, <addr-line>Shenzhen, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/223705/overview">Ivan Romic</ext-link>, University Hospital Centre Zagreb, Croatia</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1240767/overview">Tzu-jung Tsai</ext-link>, Koo Foundation Sun Yat-Sen Cancer Center, Taiwan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3093983/overview">Roberta Vella</ext-link>, University of Palermo, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanhui Zhu, <email xlink:href="mailto:zyh20241212@126.com">zyh20241212@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1607338</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 He, Song, Yang, Fu, Tian and Zhu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>He, Song, Yang, Fu, Tian and Zhu</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>Background</title>
<p>Liver resection and radiofrequency ablation (RFA) are two common treatments for hepatocellular carcinoma (HCC). However, their efficacy and safety remain unclear. We aimed to conduct a systematic review and meta-analysis to compare the effectiveness and safety of these two treatments.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched multiple databases to identify randomized controlled trials (RCTs) that compared liver resection with RFA for the treatment of HCC. The primary outcome was 5-year overall survival rate. The secondary endpoint was the incidence of complications. We used RevMan 5.4 software to calculate the pooled effects and 95% confidence interval (CI).</p>
</sec>
<sec>
<title>Results</title>
<p>Ten RCTs and 35 cohort studies were included in this meta-analysis. The pooled OR for 5-year overall survival rate favored liver resection (OR = 1.76, 95% CI = 1.19-2.61, <italic>P</italic>&lt;0.00001). RFA was indicated with less postoperative complications (OR = 3.35, 95% CI = 2.52-4.45, <italic>P</italic>&lt;0.00001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This meta-analysis suggests that liver resection is more effective than RFA in treating HCC with regard to higher 5-year overall survival rate, while the safety of liver resection was concerning. We recommend liver resection as a first-line treatment for HCC, but RFA may be a preferable choice for patients who are not suitable for surgical procedures. More high-quality RCTs are needed to confirm these findings.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier CRD42025458621.</p>
</sec>
</abstract>
<kwd-group>
<kwd>meta-analysis</kwd>
<kwd>hepatectomy</kwd>
<kwd>radio frequency ablation</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>liver cancer</kwd>
</kwd-group>
<contract-num rid="cn001">JCYJ20230807150601003</contract-num>
<contract-sponsor id="cn001">Natural Science Foundation of Shenzhen Municipality<named-content content-type="fundref-id">10.13039/100016804</named-content>
</contract-sponsor>
<counts>
<fig-count count="12"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="67"/>
<page-count count="14"/>
<word-count count="3948"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and is associated with high morbidity and mortality rates (<xref ref-type="bibr" rid="B1">1</xref>). The primary treatment options for HCC include surgical liver resection (LR) and radiofrequency ablation (RFA) (<xref ref-type="bibr" rid="B2">2</xref>). LR involves removing the tumor and surrounding liver tissue; however, compared to RFA, LR may be associated with higher perioperative risks, including morbidity and mortality (<xref ref-type="bibr" rid="B3">3</xref>). RFA is a minimally invasive technique that destroys cancer cells using high-frequency alternating currents. It is often used as an alternative to surgical LR, especially in patients with small tumors or contraindications to surgery (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>LR and RFA are considered to be effective treatments for early stage HCC (<xref ref-type="bibr" rid="B5">5</xref>). Recent studies have compared effectiveness and outcomes of LR versus RFA in the treatment of HCC, although with varying results. Some studies have reported that LR results in better survival rates, whereas others have described comparable outcomes between the 2 approaches (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Despite various studies comparing the effectiveness of LR and RFA, the findings have not consistently favored one treatment over the other. Consequently, systematic reviews and meta-analyses are needed to provide more robust evidence-based recommendations for the optimal management of HCC (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>However, there are some limitations to previous meta-analyses, including differences in patient selection criteria, surgical techniques, and outcome measures, which may have affected the results (<xref ref-type="bibr" rid="B8">8</xref>). As such, this systematic review and meta-analysis aimed to provide a comprehensive evaluation of the available evidence regarding the effectiveness of LR versus RFA in the treatment of HCC and to address existing limitations in the literature.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Literature search</title>
<p>This systematic review and meta-analysis used PubMed database search strategies in accordance with recommendations from the Cochrane Handbook for Systematic Reviews of Interventions, and complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (i.e., &#x201c;PRISMA&#x201d;), and Assessing the Methodological Quality of Systematic Reviews (i.e., &#x201c;AMSTAR) guidelines (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Randomized control trials (RCTs) and cohort studies published before Sep 1, 2024, were included. The search terms were liver resection AND radiofrequency ablation AND hepatocellular carcinoma. The reference lists of all retrieved studies were reviewed for additional, potentially eligible studies. Two authors independently reviewed the titles, abstracts, and full texts according to the inclusion and exclusion criteria, while a third author adjudicated any disagreements.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Study selection and data extraction</title>
<p>Eligible studies compared survival outcomes between LR and RFA. Studies were excluded if overall survival (OS) was not reported. Studies involving overlapping populations have been conducted. Statistically unreliable estimates were avoided by excluding studies with &lt; 10 patients per group. Two researchers independently extracted relevant information using a predefined data extraction sheet. Consensus was reached in discussions to resolve discrepancies and missing data. The mean and standard deviation were estimated using the median and interquartile range (IQR) or median and range (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Outcomes</title>
<p>The primary outcome was OS (1-, 3-, and 5-year survival rates). The secondary outcomes were operative duration, postoperative mortality, estimated blood loss (EBL), length of hospital stay, postoperative complications, and recurrence rates.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Risk of bias</title>
<p>All RCTs were critically appraised according to the revised Risk of Bias tool (ROB2.0), and non-randomized studies were evaluated using the ROBINS-I tool (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The risk of bias was independently assessed by 2 authors and adjudicated by a third when required.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data analysis</title>
<p>This meta-analysis was performed in accordance with the Cochrane Guidelines for Systematic Reviews (<xref ref-type="bibr" rid="B9">9</xref>). A Mantel&#x2013;Haenszel model was used to calculate odds ratio (OR) and corresponding 95% confidence interval (CI) for categorical data. Continuous data were analyzed using the inverse variance model and expressed as mean difference (MD) with 95% CI. Heterogeneity was assessed using the I<sup>2</sup> test. A fixed-effects model was used to pool effects. Review Manager version 5.4 and R (R Foundation for Statistical Computing, Vienna, Austria) were used to perform statistical analyses. A <italic>P</italic> value &lt; 0.05 was defined as the threshold for statistical significance of the estimates. This study was registered with The International Prospective Register of Systematic Reviews (i.e., &#x201c;PROSPERO&#x201d;) (CRD CRD42025458621).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>The literature search retrieved 1790 studies. After duplicates were removed and titles and abstracts were screened, 1432 studies remained, of which 61 full-text articles were read. In total, 45 studies (14,849 patients; 7567 RFA and 7282 LR procedures) were included in the analysis (<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>PRISMA flowchart.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing the study selection process across four phases: Identification with records from databases (1,790) and additional sources (79); Screening with 437 records excluded; Eligibility with 61 full-text articles considered and 6 excluded; Included with 45 studies analyzed.</alt-text>
</graphic>
</fig>
<p>A summary of the 45 included studies, of which OS was reported in 39, is presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The systematic review included 10 RCTs (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>) and 35 cohort studies (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B60">60</xref>), with 14 cohort studies using propensity score matching (PSM). Two RCTs demonstrated a high risk of bias, 7 studies indicated some concerns regarding the risk of bias, and 1 study had a low risk of bias. Eight non-randomized studies had a serious risk of bias, and 27 studies had a moderate risk of bias (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The basic characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Author</th>
<th valign="middle" rowspan="2" align="left">Year</th>
<th valign="middle" rowspan="2" align="left">Country</th>
<th valign="middle" rowspan="2" align="left">Research type</th>
<th valign="middle" colspan="2" align="left">Number of participants</th>
<th valign="middle" colspan="2" align="left">Age</th>
<th valign="middle" rowspan="2" align="left">Follow-up (month)</th>
<th valign="middle" rowspan="2" align="left">Outcome measures</th>
<th valign="middle" rowspan="2" align="left">Risk of bias</th>
</tr>
<tr>
<th valign="middle" align="left">RFA</th>
<th valign="middle" align="left">SR</th>
<th valign="middle" align="left">RFA</th>
<th valign="middle" align="left">SR</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Chen MS (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">2005</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">65</td>
<td valign="middle" align="left">52.4</td>
<td valign="middle" align="left">49.2</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">OS; DFS; C</td>
<td valign="middle" align="left">High</td>
</tr>
<tr>
<td valign="middle" align="left">Chen MS (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">2006</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">71</td>
<td valign="middle" align="left">90</td>
<td valign="middle" align="left">51.9</td>
<td valign="middle" align="left">49.4</td>
<td valign="middle" align="left">29.2</td>
<td valign="middle" align="left">OS; DFS; LOS; M; C</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Lu MD (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="left">2006</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">54</td>
<td valign="middle" align="left">55</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">40</td>
<td valign="middle" align="left">OS; DFS; LOS; M; C</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Huang J (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">2010</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">115</td>
<td valign="middle" align="left">115</td>
<td valign="middle" align="left">56.6</td>
<td valign="middle" align="left">55.9</td>
<td valign="middle" align="left">46.4</td>
<td valign="middle" align="left">LOS; M; AE; OS; RFS; TR</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Feng K (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">2012</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">84</td>
<td valign="middle" align="left">84</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">OT; EBL; LOS; OS; RFS; TR</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Fang Y (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">51.4</td>
<td valign="middle" align="left">53.5</td>
<td valign="middle" align="left">40</td>
<td valign="middle" align="left">LOS; C; M; DFS; OS</td>
<td valign="middle" align="left">High</td>
</tr>
<tr>
<td valign="middle" align="left">Liu H (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">100</td>
<td valign="middle" align="left">100</td>
<td valign="middle" align="left">52</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">56</td>
<td valign="middle" align="left">RFS; OS</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Ng, KKC (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">2017</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">109</td>
<td valign="middle" align="left">109</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">55</td>
<td valign="middle" align="left">93</td>
<td valign="middle" align="left">OT; EBL; M; C; LOS; OS; TR</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Lee HW (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">34</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">56.1</td>
<td valign="middle" align="left">55.6</td>
<td valign="middle" align="left">64</td>
<td valign="middle" align="left">OS; DFS; TR</td>
<td valign="middle" align="left">Some concerns</td>
</tr>
<tr>
<td valign="middle" align="left">Takayama T (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">RCT</td>
<td valign="middle" align="left">151</td>
<td valign="middle" align="left">150</td>
<td valign="middle" align="left">69</td>
<td valign="middle" align="left">68</td>
<td valign="middle" align="left">72</td>
<td valign="middle" align="left">OT; EBL; LOS; RFS; TR;</td>
<td valign="middle" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">Zhou Z (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">31</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">46.7</td>
<td valign="middle" align="left">42.2</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">C; EBL; LOS; OS; OT</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Lai C (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">33</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">62.8</td>
<td valign="middle" align="left">56.5</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">OT; EBL; LOS; TR</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Liu PH (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">79</td>
<td valign="middle" align="left">79</td>
<td valign="middle" align="left">64</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">OS; TR</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Song J (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">78</td>
<td valign="middle" align="left">78</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">49.3</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">OT; EBL; LOS; TR; OS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Vitali GC (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">Switzerland</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">45</td>
<td valign="middle" align="left">66.2</td>
<td valign="middle" align="left">59.5</td>
<td valign="middle" align="left">144</td>
<td valign="middle" align="left">C; OT; M; LOS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Di Sandro S (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">91</td>
<td valign="middle" align="left">91</td>
<td valign="middle" align="left">65.5</td>
<td valign="middle" align="left">66</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">OS, TR</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Cha DI (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">178</td>
<td valign="middle" align="left">145</td>
<td valign="middle" align="left">56.8</td>
<td valign="middle" align="left">53.3</td>
<td valign="middle" align="left">97.2</td>
<td valign="middle" align="left">C, OS</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Hsiao CY (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">231</td>
<td valign="middle" align="left">156</td>
<td valign="middle" align="left">62.2</td>
<td valign="middle" align="left">58.8</td>
<td valign="middle" align="left">84</td>
<td valign="middle" align="left">OS; TR</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Lin CH (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">39</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">LOS; OT; OS; DFS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Tsukamoto M (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">94</td>
<td valign="middle" align="left">77</td>
<td valign="middle" align="left">67.4</td>
<td valign="middle" align="left">65.2</td>
<td valign="middle" align="left">32.8</td>
<td valign="middle" align="left">OS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Wei C (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">183</td>
<td valign="middle" align="left">68</td>
<td valign="middle" align="left">70</td>
<td valign="middle" align="left">64</td>
<td valign="middle" align="left">45.1</td>
<td valign="middle" align="left">OS; C</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Yan J (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">42</td>
<td valign="middle" align="left">84</td>
<td valign="middle" align="left">48.5</td>
<td valign="middle" align="left">49.4</td>
<td valign="middle" align="left">39.3</td>
<td valign="middle" align="left">OS; DFS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Hur MH (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">194</td>
<td valign="middle" align="left">567</td>
<td valign="middle" align="left">58.3</td>
<td valign="middle" align="left">55.2</td>
<td valign="middle" align="left">81</td>
<td valign="middle" align="left">OS; RFS;</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Lee D (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">315</td>
<td valign="middle" align="left">251</td>
<td valign="middle" align="left">60.8</td>
<td valign="middle" align="left">57.5</td>
<td valign="middle" align="left">30</td>
<td valign="middle" align="left">OS; RFS; C;</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Ogiso S (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">136</td>
<td valign="middle" align="left">85</td>
<td valign="middle" align="left">73</td>
<td valign="middle" align="left">69</td>
<td valign="middle" align="left">66</td>
<td valign="middle" align="left">LOS; M; C; OS; DSS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Wu C (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">73</td>
<td valign="middle" align="left">83</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">84</td>
<td valign="middle" align="left">OS; RFS;</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Xu H (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">46</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">56.3</td>
<td valign="middle" align="left">57.2</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">OT; EBL; Cost; C; OS; RFS</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Lee J (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">South Korea</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">159</td>
<td valign="middle" align="left">232</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">64.8</td>
<td valign="middle" align="left">OS; RFS; LOS; AE</td>
<td valign="middle" align="left">Serious</td>
</tr>
<tr>
<td valign="middle" align="left">Terashima T (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">863</td>
<td valign="middle" align="left">863</td>
<td valign="middle" align="left">72</td>
<td valign="middle" align="left">72</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">OS; TR</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Xie W (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">46</td>
<td valign="middle" align="left">59.9</td>
<td valign="middle" align="left">54.8</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">OS; RFS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Kang TW (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">438</td>
<td valign="middle" align="left">142</td>
<td valign="middle" align="left">56.5</td>
<td valign="middle" align="left">52</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">OS; C; LOS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Kim GA (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">331</td>
<td valign="middle" align="left">273</td>
<td valign="middle" align="left">55.4</td>
<td valign="middle" align="left">55.4</td>
<td valign="middle" align="left">72</td>
<td valign="middle" align="left">DDS; RFS; TR</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Chong CCN (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">155</td>
<td valign="middle" align="left">59</td>
<td valign="middle" align="left">62.1</td>
<td valign="middle" align="left">57.7</td>
<td valign="middle" align="left">47.2</td>
<td valign="middle" align="left">OS; DFS; C</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Oh JH (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">87</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">59</td>
<td valign="middle" align="left">54.5</td>
<td valign="middle" align="left">62.4</td>
<td valign="middle" align="left">OS; RFS; C</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Pan Y (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">314</td>
<td valign="middle" align="left">163</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">26.2</td>
<td valign="middle" align="left">OS; RFS; C; M; LOS; Cost</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Conticchio M (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">165</td>
<td valign="middle" align="left">429</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">74.9</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">OS; DFS; C; LOS; OT; M</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Li Y (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">85</td>
<td valign="middle" align="left">103</td>
<td valign="middle" align="left">62</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">56</td>
<td valign="middle" align="left">OS; DFS; M; TR</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Cheng K (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">69</td>
<td valign="middle" align="left">99</td>
<td valign="middle" align="left">65.5</td>
<td valign="middle" align="left">63.6</td>
<td valign="middle" align="left">34</td>
<td valign="middle" align="left">C; M; LOS; OS; DFS; TR; RFS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Delvecchio A (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">40</td>
<td valign="middle" align="left">37</td>
<td valign="middle" align="left">74.5</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">OT; C; LOS; M; TR; OS; DFS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Kim S (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">264</td>
<td valign="middle" align="left">101</td>
<td valign="middle" align="left">66.5</td>
<td valign="middle" align="left">57.8</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">OS; RFS(DFS); LOS; C; TR</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">KO SE (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">55.8</td>
<td valign="middle" align="left">50</td>
<td valign="middle" align="left">OS; RFS;</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Zhang C (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSM</td>
<td valign="middle" align="left">95</td>
<td valign="middle" align="left">156</td>
<td valign="middle" align="left">58.3</td>
<td valign="middle" align="left">54</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">OS; RFS; OT; LOS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Meng F (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">SEER; PSM</td>
<td valign="middle" align="left">524</td>
<td valign="middle" align="left">472</td>
<td valign="middle" align="left">62.8</td>
<td valign="middle" align="left">62.8</td>
<td valign="middle" align="left">144</td>
<td valign="middle" align="left">OS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Xie Q (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">SEER; PSM</td>
<td valign="middle" align="left">811</td>
<td valign="middle" align="left">794</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">OS; DSS</td>
<td valign="middle" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">Eilard MS (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Sweden</td>
<td valign="middle" align="left">SweLiv-registry</td>
<td valign="middle" align="left">361</td>
<td valign="middle" align="left">438</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">65.4</td>
<td valign="middle" align="left">OS; M</td>
<td valign="middle" align="left">Moderate</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AE, adverse event; C, complications; DSS, disease specific survival; EBL, estimated blood loss; SR, surgical resection; LOS, length of stay; M, mortality; NA, not available; NOS, Newcastle-Ottawa Scale; OS, overall survival; OT, operative time; PSM, propensity score matching; RFA, radiofrequency ablation; RFS, recurrence free survival; TR, tumor recurrence.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>LR significantly prolonged patient survival compared with RFA. The 1-, 3-, and 5-year OS rates were used to compare survival outcomes between RFA and LR. The 1-year OS for RFA and LR was similar (LR versus [<italic>vs</italic>.] RFA, OR 1.10 [95% CI 0.96 &#x2013; 1.27]; <italic>P</italic> = 0.18, I<sup>2</sup> = 8%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), while LR was associated with better 3-year OS (LR <italic>vs</italic>. RFA, OR 1.34 [95% CI 1.22 &#x2013; 1.47]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 51%) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), and 5-year OS (LR <italic>vs</italic>. RFA, OR 1.66 [95% CI 1.49 &#x2013; 1.84]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 42%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) compared with RFA. The&#xa0;recurrence rate for LR was consistently much lower than that of RFA (OR 0.61 [95% CI 0.54 &#x2013; 0.70]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 54%) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Meta-analysis of 1-year overall survival rate comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g002.tif">
<alt-text content-type="machine-generated">Forest plot showing odds ratios comparing SR and RFA across multiple studies. Each line represents a study, displaying its odds ratio, confidence interval, and weight. The diamond at the bottom indicates the combined effect size, with a total odds ratio of 1.10, suggesting no significant difference between SR and RFA. Heterogeneity is low, with I&#xb2; = 8%. The plot favors RFA on the left and SR on the right.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Meta-analysis of 3-year overall survival rate comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g003.tif">
<alt-text content-type="machine-generated">Forest plot comparing surgical resection (SR) and radiofrequency ablation (RFA) outcomes across various studies. It shows odds ratios with a confidence interval for each study, denoting effect size and precision. The diamond at the plot's bottom indicates the overall effect estimate, favoring SR with an odds ratio of 1.34.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Meta-analysis of 5-year overall survival rate comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g004.tif">
<alt-text content-type="machine-generated">Forest plot displaying a meta-analysis comparing SR and RFA outcomes across multiple studies. Each line represents a study with an odds ratio, 95% confidence interval, and weight. The plot summarizes data for 4,332 SR events and 4,063 RFA events, showing a total odds ratio of 1.66, favoring SR. Heterogeneity is indicated as Chi&#xb2; = 53.47, df = 31, I&#xb2; = 42%. Overall effect: Z = 9.52, P &lt; 0.00001.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Meta-analysis of recurrence rate comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g005.tif">
<alt-text content-type="machine-generated">Forest plot from a meta-analysis comparing surgical resection (SR) and radiofrequency ablation (RFA). It displays odds ratios and 95% confidence intervals for 16 studies. Studies favor SR overall, with a pooled odds ratio of 0.61, indicating significantly lower odds of adverse events compared to RFA. The plot shows heterogeneity statistics and varying study weights, with a diamond representing the overall effect.</alt-text>
</graphic>
</fig>
<p>RFA demonstrated a significant advantage over LR in terms of intraoperative outcomes. Operative duration was significantly shorter in the RFA <italic>vs</italic>. LR groups (LR <italic>vs</italic>. RFA, MD 117.80 [95% CI 113.30 &#x2013; 122.30]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 97%) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). EBL was significantly lower in the RFA group than that in the LR group (LR <italic>vs</italic>. RFA, MD 99.67 [95% CI 93.56 &#x2013; 105.77]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 95%) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Meta-analysis of operative time comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g006.tif">
<alt-text content-type="machine-generated">Forest plot comparing SR and RFA treatments across multiple studies. Each study lists mean, standard deviation, and total for both SR and RFA, weights, and mean differences with confidence intervals. Overall mean difference favors SR, indicated by pooled data at 117.80 with a 95% confidence interval from 113.30 to 122.30.</alt-text>
</graphic>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Meta-analysis of estimated blood loss comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g007.tif">
<alt-text content-type="machine-generated">Forest plot comparing SR and RFA. Studies are listed with mean differences and confidence intervals. Xu H 2021 has the highest weight at 94.6%. The overall mean difference is 99.67, favoring SR over RFA.</alt-text>
</graphic>
</fig>
<p>The short-term outcomes of RFA were better than those of LR. The RFA group experienced fewer postoperative complications than the LR group (LR <italic>vs</italic>. RFA, OR 3.35 [95% CI 2.52 &#x2013; 4.45]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 42%) (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). The postoperative length of hospital stay was consistently shorter in the RFA group (LR <italic>vs</italic>. RFA, MD 5.36 [95% CI 4.95 &#x2013; 5.77]; <italic>P</italic>&lt;0.00001, I<sup>2</sup> = 93%) (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). However, mortality rates were similar between the LR and RFA groups (LR <italic>vs</italic>. RFA, OR 1.29 [95% CI 0.38 &#x2013; 4.34]; <italic>P</italic> = 0.68, I<sup>2</sup> = 0%) (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Meta-analysis of postoperative complications comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g008.tif">
<alt-text content-type="machine-generated">Forest plot comparing SR and RFA across 14 studies, displaying odds ratios with 95% confidence intervals. The overall effect favors SR, with Chi-squared heterogeneity at 24.01, degrees of freedom 14, and a p-value of 0.05. Total odds ratio is 3.35, indicating SR's higher efficacy.</alt-text>
</graphic>
</fig>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Meta-analysis of postoperative length of hospital stay comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g009.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of seven studies comparing SR and RFA. Each study displays mean differences with confidence intervals, represented by green squares and horizontal lines. The overall effect size is shown as a black diamond, favoring SR with a mean difference of 5.36 [4.95, 5.77]. Heterogeneity is high (I&#xb2; = 93%). Total participants: 570 (SR) and 527 (RFA).</alt-text>
</graphic>
</fig>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Meta-analysis of mortality comparing surgical resection with radio frequency ablation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g010.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of various studies comparing SR and RFA treatments. The plot presents odds ratios with 95% confidence intervals for individual studies on the left, and a summary estimate on the right. Key studies include Cheng K 2022, Chen MS 2006, and others. Some studies have non-estimable odds ratios. The diamond at the bottom represents the combined effect estimate. The overall odds ratio is 1.29 with a confidence interval of 0.38 to 4.34, indicating no significant overall effect. Heterogeneity is low as indicated by an I-squared of 0%.</alt-text>
</graphic>
</fig>
<p>When the study by Kim (<xref ref-type="bibr" rid="B34">34</xref>) was excluded, the OR and 95% CI changed significantly from 1.66 (1.49 &#x2013; 1.84) to 1.83 (1.64 &#x2013; 2.04), indicating that the study by Kim (<xref ref-type="bibr" rid="B34">34</xref>) was the main source of bias (<xref ref-type="fig" rid="f11">
<bold>Figure&#xa0;11</bold>
</xref>). To assess the robustness of primary outcomes, we performed comprehensive sensitivity analyses. Exclusion of studies with high risk of bias and non-propensity-score-matched cohorts consistently demonstrated superior outcomes for liver resection over radiofrequency ablation (OR 1.68, 95% CI 1.20 &#x2013; 1.94; P&lt;0.01, I&#xb2;=57.7%, <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2</bold>
</xref>). Similarly, stratification by study design revealed concordant results: analysis restricted to randomized trials maintained significant advantage for resection (OR 1.60, 95% CI 1.08 &#x2013; 2.37; P&lt;0.0001, I&#xb2;=40.2%), while observational studies alone yielded comparable effect sizes (OR 1.70, 95% CI 1.44 &#x2013; 2.00; P&lt;0.0001, I&#xb2;=44.4%, <xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure S3</bold>
</xref>). These methodologically distinct approaches collectively demonstrate the stability of our core findings across analytical frameworks. Trim-and-fill analysis indicated potential publication bias for the outcome of 5 year overall survival (OS), with imputation of 2 hypothetical studies reducing the HR magnitude from (LR <italic>vs</italic>. RFA, OR 1.66 [95% CI 1.49 &#x2013; 1.84]; P&lt;0.00001, I<sup>2</sup> = 42%) to (LR <italic>vs</italic>. RFA, OR 1.63 [95% CI 1.41 &#x2013; 1.90]; P&lt;0.0001, I<sup>2</sup> = 44%). While this suggests our pooled effect may overestimate LR&#x2019;s benefit, the adjusted HR remained statistically significant and clinically relevant. Nevertheless, the possibility of unpublished null findings warrants caution in interpreting the magnitude of survival advantage (<xref ref-type="fig" rid="f12">
<bold>Figure&#xa0;12</bold>
</xref>). Moreover, publication bias resulted in asymmetry of the funnel plot.</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Sensitivity analysis of 5-year overall survival by omitting single studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g011.tif">
<alt-text content-type="machine-generated">Forest plot displaying odds ratios and confidence intervals for various studies. Each row represents a study labeled &#x201c;Omitting [Study, Year]&#x201d;. The plot shows odds ratios ranging from 1.607 to 1.826, with confidence intervals and additional statistics such as p-values, Tau2, Tau, and I2. The common effect model at the bottom shows an odds ratio of 1.656 with a confidence interval of 1.493 to 1.837 and includes overall measures like Tau2 and I2. Each study is visualized with a gray box and horizontal line indicating its confidence interval.</alt-text>
</graphic>
</fig>
<fig id="f12" position="float">
<label>Figure&#xa0;12</label>
<caption>
<p>Contour-enhanced funnel plot with trim-and-fill method (white dot) for publication bias of 5-year overall survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1607338-g012.tif">
<alt-text content-type="machine-generated">Funnel plot showing standard error on the vertical axis and odds ratio on the horizontal axis. Data points are scattered across a triangular region within shaded areas of different significance levels: \(0.1 &gt; P &gt; 0.05\), \(0.05 &gt; P &gt; 0.01\), and \(P &lt; 0.01\), as indicated by the legend.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This systematic review and meta-analysis compared the efficacy and safety of LR and RFA for the treatment of HCC (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Our analysis included 45 studies comprising 14,849 patients, of whom 7567 underwent RFA and 7282 underwent LR. Results of analysis revealed that LR significantly prolonged OS of patients with HCC compared with RFA. The recurrence rate after LR was significantly lower than RFA. The intraoperative outcomes favored RFA, with a significantly shorter operative duration, reduced EBL, fewer postoperative complications, and shorter postoperative length of hospital stay.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of the pooled effects.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Outcomes</th>
<th valign="middle" rowspan="2" align="left">Num. of studies</th>
<th valign="middle" colspan="2" align="left">Num. of patients</th>
<th valign="middle" rowspan="2" align="left">Findings (95%CI)</th>
<th valign="middle" rowspan="2" align="left">
<italic>P</italic> values</th>
<th valign="middle" rowspan="2" align="left">
<italic>I&#xb2;</italic>, %</th>
</tr>
<tr>
<th valign="middle" align="left">SR</th>
<th valign="middle" align="left">RFA</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1-year overall survival</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">4899</td>
<td valign="middle" align="left">5010</td>
<td valign="middle" align="left">OR, 1.10 (0.96, 1.27)</td>
<td valign="middle" align="left">0.18</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">3-year overall survival</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">5418</td>
<td valign="middle" align="left">5158</td>
<td valign="middle" align="left">OR, 1.34 (1.22, 1.47)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">51</td>
</tr>
<tr>
<td valign="middle" align="left">5-year overall survival</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">4332</td>
<td valign="middle" align="left">4063</td>
<td valign="middle" align="left">OR, 1.66 (1.49, 1.84)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">42</td>
</tr>
<tr>
<td valign="middle" align="left">Recurrence</td>
<td valign="middle" align="left">16</td>
<td valign="middle" align="left">2137</td>
<td valign="middle" align="left">2155</td>
<td valign="middle" align="left">OR, 0.61 (0.54, 0.70)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">54</td>
</tr>
<tr>
<td valign="middle" align="left">Operative time</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">828</td>
<td valign="middle" align="left">860</td>
<td valign="middle" align="left">MD, 117.80 (113.30, 122.30)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">97</td>
</tr>
<tr>
<td valign="middle" align="left">Estimated blood loss</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">368</td>
<td valign="middle" align="left">381</td>
<td valign="middle" align="left">MD, 99.67 (93.56, 105.77)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">95</td>
</tr>
<tr>
<td valign="middle" align="left">Postoperative complications</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">1272</td>
<td valign="middle" align="left">1649</td>
<td valign="middle" align="left">OR, 3.35 (2.52, 4.45)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">42</td>
</tr>
<tr>
<td valign="middle" align="left">Length of hospital stay</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">570</td>
<td valign="middle" align="left">527</td>
<td valign="middle" align="left">MD, 5.36 (4.95, 5.77)</td>
<td valign="middle" align="left">&lt;0.00001</td>
<td valign="middle" align="left">93</td>
</tr>
<tr>
<td valign="middle" align="left">Mortality</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">747</td>
<td valign="middle" align="left">840</td>
<td valign="middle" align="left">OR, 1.29 (0.38, 4.34)</td>
<td valign="middle" align="left">0.68</td>
<td valign="middle" align="left">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Our meta-analysis revealed that LR was associated with a better OS rate than RFA (<xref ref-type="bibr" rid="B61">61</xref>). This finding is consistent with those of several previous investigations. One possible explanation is that surgical LR offers complete tumor removal with sufficient margins to reduce the risk for recurrence (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). However, RFA relies on thermal energy to destroy tumors, which may not be completely effective in eliminating HCC (<xref ref-type="bibr" rid="B64">64</xref>). Our results are important for clinical decision-making because they provide support for recommending LR for patients with HCC who are physically able to tolerate invasive surgical procedures.</p>
<p>However, RFA had a superior effect on intra- and postoperative outcomes compared with LR. Our study and several RCTs suggest that RFA minimizes operative duration and reduces intraoperative EBL (<xref ref-type="bibr" rid="B65">65</xref>). This finding may have important implications, especially in reducing operative risk in patients with poor liver function, performing repeated treatments, or managing more challenging lesions, such as large tumors or those located near vital structures (<xref ref-type="bibr" rid="B66">66</xref>). In addition, our findings demonstrated that RFA resulted in shorter hospital stays and fewer postoperative complications. These are important benefits for improving patient outcomes and reducing healthcare costs (<xref ref-type="bibr" rid="B67">67</xref>).</p>
<p>One of the strengths of our study is its large sample size, which provides robust data for the comparison between LR and RFA in the treatment of HCC. We also included high-quality studies that minimized the impact of bias and increased the reliability of the results (<xref ref-type="bibr" rid="B16">16</xref>). Furthermore, although the positive results from the sensitivity and publication bias analyses suggested that there may have been some degree of bias, the fact that the conclusion of the meta-analysis remained favorable for long-term survival after bias adjustment indicates that the conclusion of this meta-analysis is robust.</p>
<p>However, this study also had several limitations. First, the heterogeneity of the included studies may have affected the consistency of findings. Second, although we performed a subgroup analysis to reduce heterogeneity, results may have been affected due to the various surgical techniques and devices used. Although our findings demonstrate LR&#x2019;s survival advantage in broad HCC populations, further research is needed to clarify its benefit in specific clinical scenarios&#x2014;particularly among elderly patients, those with marginal liver reserve (Child-Pugh B), or complex tumor locations where RFA&#x2019;s minimally invasive profile may offset oncologic trade-offs. Future individual patient data meta-analyses or propensity-matched cohort studies targeting these subgroups are warranted.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>In conclusion, based on pooled evidence from randomized and high-quality observational studies, liver resection demonstrates superior survival outcomes compared to RFA, particularly for patients with preserved liver function and resectable tumors. However, given the inherent selection bias in non-randomized comparisons and heterogeneity in patient populations, treatment decisions should be individualized, considering comorbidities, tumor location, and local expertise. LR represents a preferred curative-intent option where clinically feasible, rather than a universal &#x2018;first-line&#x2019; approach.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZH: Methodology, Conceptualization, Data curation, Software, Investigation, Validation, Funding acquisition, Writing &#x2013; review &amp; editing, Formal Analysis, Visualization, Writing &#x2013; original draft. GS: Data curation, Investigation, Validation, Writing &#x2013; review &amp; editing, Software. GY: Data curation, Formal Analysis, Validation, Writing &#x2013; review &amp; editing, Investigation. XF: Investigation, Writing &#x2013; review &amp; editing, Data curation, Validation. MT: Writing &#x2013; review &amp; editing, Data curation, Investigation, Validation. YZ: Project administration, Conceptualization, Writing &#x2013; review &amp; editing, Supervision, Writing&#xa0;&#x2013; original draft.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Natural Science Foundation of Shenzhen Municipality (JCYJ20230807150601003 to ZH).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1607338/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1607338/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.jpg" id="SF1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Risk of bias evaluation.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.tiff" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Sensitivity analysis of primary outcomes after exclusion of high-risk-of-bias studies and non-propensity-score-matched cohorts.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.tiff" id="SF3" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Stratified analysis by study design showing maintained advantage of liver resection in both randomized trials and observational studies.</p>
</caption>
</supplementary-material>
</sec>
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