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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1594786</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cost-effectiveness analysis of cadonilimab plus bevacizumab and chemotherapy for persistent, recurrent, or metastatic cervical cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Kaixuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1895064/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Shixian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1721240/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Ruixue</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1895085/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Dou</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1709037/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2914243/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Maternal and Child Health Development Research Center, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University</institution>, <addr-line>Jinan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Office of Discipline Inspection, Shandong Second Provincial General Hospital</institution>, <addr-line>Jinan</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sonam Mittal, Medical College of Wisconsin, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mansoor-Ali Vaali-Mohammed, King Saud University, Saudi Arabia</p>
<p>Chandrima Dey, Medical College of Wisconsin, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jie Gao, <email xlink:href="mailto:agao1224@163.com">agao1224@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1594786</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wang, Liu, Wang, Dou and Gao</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Liu, Wang, Dou and Gao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>The aim of this study is to investigate the cost-effectiveness of cadonilimab plus bevacizumab and chemotherapy in the first-line treatment for patients with persistent, recurrent, or metastatic cervical cancer from a healthcare system perspective in China.</p>
</sec>
<sec>
<title>Methods</title>
<p>A partitioned survival model was established to estimate the total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio (ICER) over a 10-year time horizon. Clinical data was sourced from the COMPASSION-16 trial; direct medical costs and utilities were obtained from a public drug bidding database and published literature. The robustness of the model was assessed via scenario, one-way and probabilistic sensitivity analyses.</p>
</sec>
<sec>
<title>Results</title>
<p>Cadonilimab plus bevacizumab and chemotherapy yielded an additional cost of $31,654.02, with an additional QALY of 0.36, resulted in an ICER of $88,533.51/QALY compared with bevacizumab and chemotherapy. Utility values of progression-free survival (PFS), patient weight and price of cadonilimab were the most influential parameter on ICER. The probability of cadonilimab plus bevacizumab and chemotherapy being cost-effective was 0% at the WTP threshold of $38,042.49 per QALY. When the price of cadonilimab reduced by 72%, cadonilimab plus bevacizumab and chemotherapy would represent an economically viable treatment regime.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Cadonilimab plus bevacizumab and chemotherapy may not be a cost-effective option as the first-line treatment in persistent, recurrent, or metastatic cervical cancer.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cost-effectiveness</kwd>
<kwd>cadonilimab</kwd>
<kwd>cervical cancer</kwd>
<kwd>bevacizumab</kwd>
<kwd>chemotherapy</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="9"/>
<word-count count="3509"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Despite the introduction of screening and vaccination programs, cervical cancer remains the fourth most common cancer in terms of both incidence and mortality among women, with an estimated 660,000 new cases and 350,000 deaths worldwide in 2022 (<xref ref-type="bibr" rid="B1">1</xref>). China is also a high-incidence region for cervical cancer, with a rate of 21.81 cases per 100,000 individuals (<xref ref-type="bibr" rid="B2">2</xref>). At the time of initial diagnosis, 4.3% of patients were found to be at stage III or IV (<xref ref-type="bibr" rid="B3">3</xref>). For patients with persistent, recurrent, or metastatic cervical cancer, the five-year overall survival (OS) rate is below 20% (<xref ref-type="bibr" rid="B4">4</xref>). Over the past ten years, the incorporation of bevacizumab into platinum-based chemotherapy has emerged as the primary first-line standard of care for patients with recurrent or metastatic cervical cancer based on GOG240 trial (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). However, the evidence from the GOG240 trial revealed that the median OS for patients receiving bevacizumab plus chemotherapy was still less than 17 months (<xref ref-type="bibr" rid="B5">5</xref>). Therefore, it is urgent to explore new treatments in order to maximize patient outcomes.</p>
<p>Cadonilimab, a bispecific antibody blocking both PD-1 and CTLA-4 pathways, was approved in China on June 29, 2022 for the treatment of recurrent or metastatic cervical cancer which has progressed on or after platinum-based chemotherapy (<xref ref-type="bibr" rid="B7">7</xref>). The COMPASSION-16 trial indicated that the addition of cadonilimab to bevacizumab and platinum-based chemotherapy significantly improved progression free survival (PFS) [hazard ratio (HR): 0.62, 95% confidence interval (CI): 0.49-0.80] and OS [hazard ratio (HR): 0.64, 95% confidence interval (CI): 0.48-0.86] versus bevacizumab and platinum-based chemotherapy in patients with persistent, recurrent, or metastatic cervical cancer (<xref ref-type="bibr" rid="B8">8</xref>). White blood cell count decreased, anemia, and neutrophil count decreased were the most common treatment-related adverse events (AEs) (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Although the combination of cadonilimab, bevacizumab, and chemotherapy provided promising clinical benefits and manageable safety profile, the escalated cost associated with this particular therapeutic approach may hinder its widespread availability and impose a heavier financial burden on patients. Therefore, the study aimed to evaluate the cost-effectiveness of cadonilimab plus bevacizumab and platinum-based chemotherapy versus bevacizumab and platinum-based chemotherapy as the first-line treatment for persistent, recurrent, or metastatic cervical cancer from Chinese healthcare system perspective.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>This economic evaluation was conducted utilizing modelling techniques and published literature, and the approval of the institutional research ethics board was not required as no real human participants or animals were involved. This study adhered to consolidated health economic evaluation reporting standards 2022 (CHEERS 2022) (<xref ref-type="bibr" rid="B9">9</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
<sec id="s2_1">
<title>Patients and intervention</title>
<p>The target patient population was aligned with the cohort enrolled in the COMPASSION-16 trial, an open-label, phase 3 trial conducted across 59 clinical sites in China (<xref ref-type="bibr" rid="B8">8</xref>). Eligible patients were women aged 18&#x2013;75 years with persistent, recurrent, or metastatic (stage IVB) cervical cancer who have not received prior systemic therapy (<xref ref-type="bibr" rid="B8">8</xref>). The intervention group received cadonilimab (10 mg/kg) in combination with chemotherapy (cisplatin [50 mg/m<sup>2</sup>] or carboplatin [area under the curve 4-5] plus paclitaxel [175 mg/m<sup>2</sup>]), with or without bevacizumab (15 mg/kg). The control group received placebo plus chemotherapy with or without bevacizumab. The regimens were administered on day 1 of each 3-week cycle for six cycles. Subsequently, patients transitioned to maintenance therapy, consisting of cadonilimab or placebo, optionally in combination with bevacizumab, which was administered every 3 weeks thereafter (<xref ref-type="bibr" rid="B8">8</xref>). Treatment continued until disease progression, unacceptable toxicity or having received cadonilimab or placebo for 2 years (<xref ref-type="bibr" rid="B8">8</xref>). After disease progression, it was assumed that the remaining patients would receive best supportive care, given that subsequent treatment options had not been clearly defined in clinical trial (<xref ref-type="bibr" rid="B8">8</xref>).</p>
</sec>
<sec id="s2_2">
<title>Model structure</title>
<p>A partitioned survival model was developed to simulate disease progression using Excel 2019 and R 4.3.2 software. The model comprised three mutually exclusive health states: PFS, progressive disease (PD), and death (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The cycle length was three weeks, aligning with the treatment protocol in clinical trial (<xref ref-type="bibr" rid="B8">8</xref>). The time horizon was established at 10 years to ensure that all cervical cancer patients entered the terminal state. Primary outcomes of the model included the total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio (ICER). The ICER was described as the incremental cost per additional QALY. To enhance the precision of the model results, a half-cycle correction was incorporated. According to China Guidelines for Pharmacoeconomic Evaluations, Costs and QALYs were discounted at an annual rate of 5% with a range of 0% to 8% (<xref ref-type="bibr" rid="B10">10</xref>). We used 3 times gross domestic product per capita ($38,042.49, in 2023) as the willingness-to-pay (WTP) threshold.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The structure of the partitioned survival model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1594786-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting treatment paths for persistent, recurrent, or metastatic cervical cancer. Two options: &#x201c;Cadonilimab plus bevacizumab and chemotherapy&#x201d; and &#x201c;Bevacizumab and chemotherapy.&#x201d; Outcomes include &#x201c;Progression-free survival,&#x201d; leading to &#x201c;Progressive disease,&#x201d; then &#x201c;Death."</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_3">
<title>Clinical data</title>
<p>The clinical efficacy and adverse reactions data were extracted from the COMPASSION-16 trial. GetData Graph Digitizer 2.26 was utilized to digitize Kaplan-Meier (KM) PFS and OS curves to reconstruct individual patient data (IPD), adhering to the algorithms outlined by Guyot et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). Seven parametric distributions, namely Exponential, Weibull, Gamma, Generalized Gamma, Gompertz, Log-normal and Log-logistic, were fitted to extrapolate the KM curves beyond the follow-up period of the clinical trial (<xref ref-type="bibr" rid="B12">12</xref>). The optimal distribution was determined through a comprehensive evaluation including visual assessments, Akaike information criterion (AIC) and Bayesian information criterion (BIC) (<xref ref-type="bibr" rid="B13">13</xref>). Based on this rigorous analysis, we selected Log-logistic distribution for PFS and OS curves in cadonilimab plus bevacizumab and chemotherapy group, while the Log-normal and Generalised Gamma distributions were chosen for PFS and OS curves in bevacizumab and chemotherapy group, respectively. More details concerning model fitting are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;3, 4</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1-4</bold>
</xref>.</p>
</sec>
<sec id="s2_4">
<title>Costs</title>
<p>Only direct medical expenses were considered, including medications, follow-up visit, laboratory test, imaging test, best supportive care, management of treatment-related severe AEs, and terminal care in end-of-life. Drug pricing information was sourced from the 2024 average bid-winning prices announced by YaoZH database (<xref ref-type="bibr" rid="B14">14</xref>). For dosage estimation, standardized patient parameters were assumed, including an average body weight of 60 kg, a body surface area (BSA) of 1.64 m&#xb2; (<xref ref-type="bibr" rid="B15">15</xref>), and a creatinine clearance rate of 70 mL/min, which was specifically used for calculating the dose of carboplatin (<xref ref-type="bibr" rid="B15">15</xref>). Other associated costs were derived from published literature (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Routine laboratory examination was conducted once per cycle. Abdominal computed tomography (CT) was performed every 6 weeks during the first 24 weeks, every 9 weeks from week 25 to week 51, and every 12 weeks thereafter until disease progression (<xref ref-type="bibr" rid="B8">8</xref>). Only grade 3&#x2013;5 AEs with an incidence of greater than 5% were considered (<xref ref-type="bibr" rid="B8">8</xref>). All costs were standardized to 2024 US dollars using the 2023 average exchange rate of 1 USD = 7.0467 RMB.</p>
</sec>
<sec id="s2_5">
<title>Utilities</title>
<p>Utility values were assigned to each health state, ranging from 0 (representing death) to 1 (representing perfect health). Because the COMPASSION-16 trial lacked data on quality of life, the utility values for the PFS and PD health states were derived from another published economic evaluation, in which the data were measured by the EuroQol five dimensions health status questionnaire (EQ-5D-3L) and US-specific value algorithm (<xref ref-type="bibr" rid="B19">19</xref>). In addition, disutility values caused by grade 3&#x2013;5 AEs were obtained from relevant literature (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). All costs and utilities are shown in <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Basic parameters input to the model and the ranges of the sensitivity analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Parameters</th>
<th valign="middle" rowspan="2" align="left">Baseline value</th>
<th valign="middle" colspan="2" align="left">Range</th>
<th valign="middle" rowspan="2" align="left">Distribution</th>
<th valign="middle" rowspan="2" align="left">Reference</th>
</tr>
<tr>
<th valign="middle" align="left">Minimum</th>
<th valign="middle" align="left">Maximum</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="bottom" colspan="6" align="left">Cost inputs (US $)</th>
</tr>
<tr>
<td valign="top" align="left">Cadonilimab(1mg)</td>
<td valign="top" align="left">2.11</td>
<td valign="bottom" align="left">1.69</td>
<td valign="bottom" align="left">2.53</td>
<td valign="bottom" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cisplatin(1mg)</td>
<td valign="top" align="left">0.20</td>
<td valign="bottom" align="left">0.16</td>
<td valign="bottom" align="left">0.24</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Carboplatin(1mg)</td>
<td valign="top" align="left">0.17</td>
<td valign="bottom" align="left">0.14</td>
<td valign="bottom" align="left">0.20</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Paclitaxel(1mg)</td>
<td valign="top" align="left">0.74</td>
<td valign="bottom" align="left">0.59</td>
<td valign="bottom" align="left">0.88</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Bevacizumab(1mg)</td>
<td valign="top" align="left">1.56</td>
<td valign="bottom" align="left">1.25</td>
<td valign="bottom" align="left">1.88</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of best supportive care</td>
<td valign="top" align="left">337.66</td>
<td valign="bottom" align="left">270.13</td>
<td valign="bottom" align="left">405.19</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of follow-up</td>
<td valign="top" align="left">55.63</td>
<td valign="bottom" align="left">44.50</td>
<td valign="bottom" align="left">66.75</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of routine laboratory examinations</td>
<td valign="top" align="left">92.54</td>
<td valign="bottom" align="left">74.03</td>
<td valign="bottom" align="left">111.05</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of abdominal CT</td>
<td valign="top" align="left">105.95</td>
<td valign="bottom" align="left">84.76</td>
<td valign="bottom" align="left">127.14</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of terminal care in end-of-life</td>
<td valign="top" align="left">1460.30</td>
<td valign="bottom" align="left">1055.30</td>
<td valign="bottom" align="left">2085.70</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of white blood cell count decreased</td>
<td valign="top" align="left">456.30</td>
<td valign="bottom" align="left">365.04</td>
<td valign="bottom" align="left">547.56</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of anemia</td>
<td valign="top" align="left">497.62</td>
<td valign="bottom" align="left">398.10</td>
<td valign="bottom" align="left">597.14</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of neutrophil count decreased</td>
<td valign="top" align="left">523.27</td>
<td valign="bottom" align="left">418.62</td>
<td valign="bottom" align="left">627.93</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of platelet count decreased</td>
<td valign="top" align="left">1375.32</td>
<td valign="bottom" align="left">1100.26</td>
<td valign="bottom" align="left">1650.39</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of hypokalemia</td>
<td valign="top" align="left">2908.92</td>
<td valign="bottom" align="left">2327.14</td>
<td valign="bottom" align="left">3490.70</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of hypertriglyceridemia</td>
<td valign="top" align="left">102.47</td>
<td valign="bottom" align="left">81.97</td>
<td valign="bottom" align="left">122.96</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">Assumption</td>
</tr>
<tr>
<td valign="top" align="left">Cost of lymphocyte count decreased</td>
<td valign="top" align="left">105.03</td>
<td valign="bottom" align="left">84.02</td>
<td valign="bottom" align="left">126.04</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cost of hypertension</td>
<td valign="top" align="left">102.47</td>
<td valign="bottom" align="left">81.97</td>
<td valign="bottom" align="left">122.96</td>
<td valign="top" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">Utility inputs</th>
</tr>
<tr>
<td valign="bottom" align="left">PFS</td>
<td valign="top" align="left">0.817</td>
<td valign="bottom" align="left">0.654</td>
<td valign="bottom" align="left">0.980</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td valign="bottom" align="left">PD</td>
<td valign="top" align="left">0.779</td>
<td valign="bottom" align="left">0.623</td>
<td valign="bottom" align="left">0.935</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">Disutility inputs</th>
</tr>
<tr>
<td valign="top" align="left">White blood cell count decreased</td>
<td valign="top" align="left">0.200</td>
<td valign="bottom" align="left">0.160</td>
<td valign="bottom" align="left">0.240</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="left">0.120</td>
<td valign="bottom" align="left">0.096</td>
<td valign="bottom" align="left">0.144</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B20">20</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil count decreased</td>
<td valign="top" align="left">0.150</td>
<td valign="bottom" align="left">0.120</td>
<td valign="bottom" align="left">0.180</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B21">21</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count decreased</td>
<td valign="top" align="left">0.110</td>
<td valign="bottom" align="left">0.088</td>
<td valign="bottom" align="left">0.132</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypokalemia</td>
<td valign="top" align="left">0.030</td>
<td valign="bottom" align="left">0.024</td>
<td valign="bottom" align="left">0.036</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertriglyceridemia</td>
<td valign="top" align="left">0.080</td>
<td valign="bottom" align="left">0.064</td>
<td valign="bottom" align="left">0.096</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">Assumption</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte count decreased</td>
<td valign="top" align="left">0.200</td>
<td valign="bottom" align="left">0.160</td>
<td valign="bottom" align="left">0.240</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">0.080</td>
<td valign="bottom" align="left">0.064</td>
<td valign="bottom" align="left">0.096</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">Risk of severe adverse events in CBC group</th>
</tr>
<tr>
<td valign="top" align="left">White blood cell count decreased</td>
<td valign="top" align="left">28.30%</td>
<td valign="bottom" align="left">22.64%</td>
<td valign="bottom" align="left">33.96%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="left">15.90%</td>
<td valign="bottom" align="left">12.72%</td>
<td valign="bottom" align="left">19.08%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil count decreased</td>
<td valign="top" align="left">40.70%</td>
<td valign="bottom" align="left">32.56%</td>
<td valign="bottom" align="left">48.84%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count decreased</td>
<td valign="top" align="left">14.20%</td>
<td valign="bottom" align="left">11.36%</td>
<td valign="bottom" align="left">17.04%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypokalemia</td>
<td valign="top" align="left">5.80%</td>
<td valign="bottom" align="left">4.64%</td>
<td valign="bottom" align="left">6.96%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertriglyceridemia</td>
<td valign="top" align="left">6.20%</td>
<td valign="bottom" align="left">4.96%</td>
<td valign="bottom" align="left">7.44%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte count decreased</td>
<td valign="top" align="left">7.10%</td>
<td valign="bottom" align="left">5.68%</td>
<td valign="bottom" align="left">8.52%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">6.60%</td>
<td valign="bottom" align="left">5.28%</td>
<td valign="bottom" align="left">7.92%</td>
<td valign="bottom" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">Risk of severe adverse events in BC group</th>
</tr>
<tr>
<td valign="top" align="left">White blood cell count decreased</td>
<td valign="top" align="left">36.10%</td>
<td valign="bottom" align="left">28.88%</td>
<td valign="bottom" align="left">43.32%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="left">24.20%</td>
<td valign="bottom" align="left">19.36%</td>
<td valign="bottom" align="left">29.04%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil count decreased</td>
<td valign="top" align="left">46.10%</td>
<td valign="bottom" align="left">36.88%</td>
<td valign="bottom" align="left">55.32%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count decreased</td>
<td valign="top" align="left">12.30%</td>
<td valign="bottom" align="left">9.84%</td>
<td valign="bottom" align="left">14.76%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte count decreased</td>
<td valign="top" align="left">6.80%</td>
<td valign="bottom" align="left">5.44%</td>
<td valign="bottom" align="left">8.16%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">9.60%</td>
<td valign="bottom" align="left">7.68%</td>
<td valign="bottom" align="left">11.52%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">proportion of platinum therapy use during the trial</th>
</tr>
<tr>
<td valign="bottom" align="left">CBC group</td>
<td valign="top" align="left">58.56%</td>
<td valign="bottom" align="left">46.85%</td>
<td valign="bottom" align="left">70.27%</td>
<td valign="top" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="bottom" align="left">BC group</td>
<td valign="top" align="left">55.16%</td>
<td valign="bottom" align="left">44.13%</td>
<td valign="bottom" align="left">66.19%</td>
<td valign="top" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">proportion of bevacizumab use during the trial</th>
</tr>
<tr>
<td valign="bottom" align="left">CBC group</td>
<td valign="top" align="left">59.91%</td>
<td valign="bottom" align="left">47.93%</td>
<td valign="bottom" align="left">71.89%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="bottom" align="left">BC group</td>
<td valign="top" align="left">59.19%</td>
<td valign="bottom" align="left">47.35%</td>
<td valign="bottom" align="left">71.03%</td>
<td valign="top" align="left">Beta</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<th valign="bottom" colspan="6" align="left">Others</th>
</tr>
<tr>
<td valign="top" align="left">Patient weight (kg)</td>
<td valign="top" align="left">60.00</td>
<td valign="bottom" align="left">48.00</td>
<td valign="bottom" align="left">72.00</td>
<td valign="bottom" align="left">Gamma</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Body surface area(m<sup>2</sup>)</td>
<td valign="top" align="left">1.64</td>
<td valign="bottom" align="left">1.31</td>
<td valign="bottom" align="left">1.97</td>
<td valign="bottom" align="left">Gamma</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine clearance</td>
<td valign="top" align="left">70.00</td>
<td valign="bottom" align="left">56.00</td>
<td valign="bottom" align="left">84.00</td>
<td valign="bottom" align="left">Gamma</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="bottom" align="left">Discount rate</td>
<td valign="bottom" align="left">0.05</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">0.08</td>
<td valign="bottom" align="left">Beta</td>
<td valign="bottom" align="left">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CBC, cadonilimab plus bevacizumab and chemotherapy; BC, bevacizumab and chemotherapy; PFS, progression-free survival; PD, progressive disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_6">
<title>Scenario analyses</title>
<p>Firstly, a price reduction strategy was employed to determine the most reasonable pricing for cadonilimab. Secondly, we adjusted a time horizon of 5 years to examine its impact on the ICER.</p>
</sec>
<sec id="s2_7">
<title>Sensitivity analyses</title>
<p>To assess the robustness of the base-case results, both one-way sensitivity analysis (OWSA) and probabilistic sensitivity analysis (PSA) were conducted. In the OWSA, the impact of various input parameters on the ICER was evaluated by varying them within a range of &#xb1;20% or 95% confidence intervals of the base case value (<xref ref-type="bibr" rid="B22">22</xref>). The results of OWSA were visually presented using Tornado diagrams. For the PSA, a Monte Carlo simulation was performed with 10,000 iterations, where key parameters were simultaneously sampled from predefined distributions (<xref ref-type="bibr" rid="B23">23</xref>). Specifically, Gamma distributions were used for costs, while beta distributions were chosen for incidence, utilities, and disutilities (<xref ref-type="bibr" rid="B24">24</xref>). The results of the PSA were presented in the form of an incremental cost-effectiveness scatter plot and a cost-effectiveness acceptability curve.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Base case results</title>
<p>Compared with bevacizumab and chemotherapy group, cadonilimab plus bevacizumab and chemotherapy group provided incremental cost of $31,654.02, with additional QALY of 0.36, resulting in an ICER of $88,533.51 per QALY in the treatment for persistent, recurrent, or metastatic cervical cancer (<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>Base case results.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Strategy</th>
<th valign="middle" align="left">Total costs, $</th>
<th valign="middle" align="left">Total QALYs</th>
<th valign="middle" align="left">Incremental costs, $</th>
<th valign="middle" align="left">Incremental QALYs</th>
<th valign="middle" align="left">ICER</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">BC group</td>
<td valign="middle" align="left">44,966.18</td>
<td valign="middle" align="left">2.22</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">CBC group</td>
<td valign="middle" align="left">76,559.13</td>
<td valign="middle" align="left">2.58</td>
<td valign="middle" align="left">31,592.95</td>
<td valign="middle" align="left">0.36</td>
<td valign="middle" align="left">88,362.70</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CBC, cadonilimab plus bevacizumab and chemotherapy; BC, bevacizumab and chemotherapy; QALYs, quality-adjusted life years; ICER, incremental cost-effectiveness ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Scenario analyses</title>
<p>Only if the price of cadonilimab was reduced by 72% to $0.59 per mg or more, the cadonilimab plus bevacizumab and chemotherapy group would be cost-effective (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). At the 5-year time horizon, the ICER of cadonilimab plus bevacizumab and chemotherapy group were $101,638.04 per QALYs (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Scenario analysis results for price reductions of cadonilimab. ICER, incremental cost-effectiveness ratio; WTP, willingness to Pay.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1594786-g002.tif">
<alt-text content-type="machine-generated">Line graph depicting the Incremental Cost-Effectiveness Ratio (ICER) decreasing as the proportion of price reduction increases from 0% to 100%. The ICER line intersects with a horizontal dotted line labeled &#x201c;WTP threshold&#x201d; at around 50% price reduction. The vertical axis represents ICER values and the horizontal axis represents the proportion of price reduction in percentages.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>Sensitivity analyses</title>
<p>The results of the OWSA indicated that utility of PFS, patient weight, the price of cadonilimab, discount rate were the most influential variables on the ICER (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). However, the ICER is always higher than WTP threshold no matter how these variables were changed within a given range, indicating that our model was robust. The results of the PSA indicated that the probability of cadonilimab being cost-effective was 0% at the WTP threshold of 3 times GDP per capita ($38,042.49) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Tornado diagram of one-way sensitivity analysis results. ICER, incremental cost-effectiveness ratio; QALY, quality-adjusted life year; CBC, cadonilimab plus bevacizumab and chemotherapy; BC, bevacizumab and chemotherapy; PFS, progression-free survival; PD, progressive disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1594786-g003.tif">
<alt-text content-type="machine-generated">Tornado diagram illustrating the sensitivity analysis of ICER ($/QALY) with a range from 70,000 to 110,000. Bars represent lower and upper bounds for various factors including utility of PFS, patient weight, and costs. The ICER is $88,533.51/QALY.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The incremental cost-effectiveness scatter plot of cadonilimab plus bevacizumab and chemotherapy compared to bevacizumab and chemotherapy in China. QALY, quality-adjusted life year; WTP, willingness to Pay.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1594786-g004.tif">
<alt-text content-type="machine-generated">Scatter plot showing incremental costs versus incremental quality-adjusted life years (QALY) with a willingness-to-pay (WTP) threshold line at 38,042.49 dollars per QALY. Blue dots represent data points, and a red dot indicates the base case result.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The cost-effectiveness acceptability curve of the probabilistic sensitivity analysis results. CBC, cadonilimab plus bevacizumab and chemotherapy; BC, bevacizumab and chemotherapy; QALY, quality-adjusted life year; WTP, willingness to Pay.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1594786-g005.tif">
<alt-text content-type="machine-generated">Cost-effectiveness acceptability curve showing the probability of cost-effectiveness for CBC group (red line) and BC group (blue line) against willingness to pay per QALY. The willingness to pay threshold is $38,042.49/QALY, where the probability of cost-effectiveness for the CBC group increases significantly and surpasses the BC group.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Cadonilimab has been approved by National Medical Products Administration for the treatment of cervical cancer and advanced gastric or gastroesophageal junction (G/GEJ) adenocarcinoma (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B25">25</xref>). To our knowledge, this study represents the first model analysis to evaluate the cost-effectiveness of cadonilimab plus bevacizumab and platinum-based chemotherapy in the first-line treatment of persistent, recurrent, or metastatic cervical cancer by incorporating the most recent clinical evidence from the perspective of Chinese healthcare system. The ICER of cadonilimab plus bevacizumab and chemotherapy was calculated to be $88,533.51 per QALY compared with bevacizumab and chemotherapy, which exceeded doubling the China&#x2019;s WTP threshold.</p>
<p>Utility of PFS, patient weight, the unit price of cadonilimab, and discount rate were the most influential parameters within the model, but variations in these parameters did not alter the conclusion, thereby demonstrating the robustness of our model. Due to the absence of quality of life data in COMPASSION-16 trial, the utility values were derived from a cost-effectiveness analysis (<xref ref-type="bibr" rid="B26">26</xref>) evaluating pembrolizumab for unresectable or metastatic endometrial cancer referred to Lei et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>) and Shi et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>). Further cost-effectiveness analysis should be conducted based on the health utility values of different treatments. Our results were consistent with previously published studies (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>) in identifying patient weight as a key variable given that cadonilimab was administered based on body weight (<xref ref-type="bibr" rid="B8">8</xref>). Consequently, for overweight or obese patients, the use of cadonilimab was disadvantageous as the increased dosage and associated costs required. Despite the excellent clinical efficacy associated with cadonilimab-based combination therapy, it did not fulfil the cost-effectiveness criteria due to increased utilization of healthcare resources. An adjustment in the price of this drug could have a substantial influence on the ICER. Scenario analysis results indicated that when the price of cadonilimab reduced to $0.59 per mg (equivalent to 28% of the current price), the ICER for cadonilimab group was $37,803.74 per QALY lower than the WTP threshold of $38,042.49.</p>
<p>In addition to cadonilimab, atezolizumab and pembrolizumab were other available immune checkpoint inhibitors (ICIs) as the first-line treatment for persistent, recurrent, or metastatic cervical cancer (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Cai et&#xa0;al. compared the cost-effectiveness of atezolizumab plus bevacizumab and chemotherapy versus bevacizumab and chemotherapy based on the BEATcc clinical trial from the Chinese healthcare system perspective, and showed that atezolizumab in combination with bevacizumab and chemotherapy was unlikely to be a cost-effective option (<xref ref-type="bibr" rid="B15">15</xref>). Three other analyses (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>) also demonstrated that the treatment regime was not cost-effective for patients in the US. Two studies evaluated the cost-effectiveness of pembrolizumab plus bevacizumab and chemotherapy using efficacy data from the KEYNOTE-826 clinical trial in China and concluded that this therapeutic regime may not be a cost-effective primary strategy with an ICER of $52,765.69 per QALY (<xref ref-type="bibr" rid="B34">34</xref>) and $64,338.19 QALY (<xref ref-type="bibr" rid="B35">35</xref>), respectively, which in consistent with findings from another two analysis in the US (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B36">36</xref>). However, Monk et&#xa0;al. suggested that the regime was proved to be cost-effective in the US, which might be attributed to variations in cost measurements and model constructions (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Apart from cervical cancers, G/GEJ adenocarcinoma was also important indications for cadonilimab approved by National Medical Products Administration based on a randomized controlled phase 3 study (<xref ref-type="bibr" rid="B25">25</xref>). In the COMPASSION-16 trial, 610 patients from 75 centers in China were randomized to receive cadonilimab or placebo plus chemotherapy (<xref ref-type="bibr" rid="B25">25</xref>). The results showed that cadonilimab plus chemotherapy significantly prolonged median PFS [hazard ratio (HR): 0.55, 95% confidence interval (CI): 0.44-0.65] and OS (14.1 versus 11.1&#x2009;months; HR: 0.66, 95% CI: 0.54-0.81) compared with chemotherapy alone as the first-line treatment in advanced G/GEJ adenocarcinoma (<xref ref-type="bibr" rid="B25">25</xref>). However, to date, no cost-effectiveness analysis has been conducted to explore whether the survival benefit from cadonilimab could be matched by its pricing. Therefore, future studies could focus on the cost-effectiveness of cadonilimab for advanced G/GEJ adenocarcinoma, which was crucial for the clinical oncologists and healthcare policy makers.</p>
<p>Our model has several limitations. First, long-term efficacy data of the COMPASSION-16 trial was extrapolated using parametric survival models. Further validation using the update follow-up data is necessary because of the inherent uncertainty associated with the methodology. Second, since quality of life data was not reported in the COMPASSION-16 trial, we derived utility values from published literature. But the sensitivity analysis indicated that alterations in each utility values had not substantially altered the results. Third, the management costs and disutility values associated with grade 1 or 2 treatment-related AEs were not included in the model, considering their minimal impact on base-case results. Fourth, as subsequent treatments were not accounted for in the clinical trials, we assumed that BSC was the primary subsequent regimen, which may be distinct from realistic clinical choices.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The combination of cadonilimab with bevacizumab and chemotherapy might not be cost-effectiveness compared with bevacizumab and chemotherapy in the first-line treatment for persistent, recurrent, or metastatic cervical cancer in China. Nevertheless, it is suggested that via reducing the price of cadonilimab to 28% of the current price, the regime could be a cost-effective option at the current WTP threshold.</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="SM1">
<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>KW: Software, Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Methodology, Data curation. SL: Data curation, Validation, Writing &#x2013; original draft, Formal Analysis, Software. RW: Data curation, Software, Formal Analysis, Validation, Writing &#x2013; review &amp; editing. LD: Validation, Writing &#x2013; review &amp; editing, Formal Analysis, Data curation, Software. JG: Conceptualization, Supervision, Methodology, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</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>
</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>
<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/fimmu.2025.1594786/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1594786/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.doc" id="SM1" mimetype="application/msword"/>
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