<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">PP</journal-id><journal-title-group><journal-title>Pharmacology &amp; Pharmacy</journal-title></journal-title-group><issn pub-type="epub">2157-9423</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/pp.2022.136017</article-id><article-id pub-id-type="publisher-id">PP-118319</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Cost-Utility Analysis of Nivolumab plus Chemotherapy in the First-Line Treatment of Upper Gastrointestinal Adenocarcinoma
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xin</surname><given-names>Fan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yongfa</surname><given-names>Chen</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>School of International Pharmaceutical Business of China Pharmaceutical University, Nanjing, China</addr-line></aff><pub-date pub-type="epub"><day>23</day><month>06</month><year>2022</year></pub-date><volume>13</volume><issue>06</issue><fpage>212</fpage><lpage>224</lpage><history><date date-type="received"><day>23,</day>	<month>May</month>	<year>2022</year></date><date date-type="rev-recd"><day>27,</day>	<month>June</month>	<year>2022</year>	</date><date date-type="accepted"><day>30,</day>	<month>June</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Objective: To evaluate the cost-utility of nivolumab plus chemotherapy compared with chemotherapy alone as the first-line treatment for advanced gastric, gastro-oesophageal junction, and esophageal adenocarcinoma in China. Methods: Based on CheckMate649, a partitioned survival model was carried out with a circulation cycle of 6 weeks to simulate the patient’s lifetime. Sensitivity analysis were adopted to verify the robustness of the results. Results: The results of the base-case analysis showed that both the total cost and utility of the nivolumab group were higher, and the ICUR value was CNY 267498.67/QALY, more than 3 times the GDP per capita of China in 2020. The results of deterministic sensitivity analysis indicated that the three most influential factors were the utility value of PFS state, the cost of nivolumab and the discount rate. The results of probabilistic sensitivity analysis were consistent with those of base-case analysis, proving that the results were robust. The scenario analysis illustrated that economical price of nivolumab was CNY 3652.71. Conclusions: Under the willing-to-pay threshold of three times the GDP per capita of China in 2020, compared with chemotherapy alone, nivolumab plus chemotherapy is not a cost-effective option in China.
 
</p></abstract><kwd-group><kwd>Nivolumab</kwd><kwd> Gastric Adenocarcinoma</kwd><kwd> Gastro-Oesophageal Junction Adenocarcinoma</kwd><kwd> Esophageal Adenocarcinoma</kwd><kwd> Partitioned Survival Model</kwd><kwd> Cost-Utility Analysis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Malignant tumors originating from the upper gastrointestinal tract have a significant burden on both morbidity and mortality, which have always been the main diseases threatening human health. Upper gastrointestinal cancers include gastric, gastro-oesophageal junction, and esophageal cancer. According to global cancer statistics, esophageal cancer is the seventh most common cancer worldwide, with the sixth-highest death rate. Gastric cancer is the fifth most common cancer, accounting for 5.6% of new cases and 7.7% of new deaths in 2020, making it the fourth leading cause of cancer-related deaths [<xref ref-type="bibr" rid="scirp.118319-ref1">1</xref>]. Adenocarcinoma is the most common histological subtype of upper gastrointestinal carcinoma. The incidence rate of gastric (GA) and gastro-oesophageal junction adenocarcinoma (GEJA) is more than 90% in gastric and gastro-oesophageal junction cancers, and esophageal adenocarcinoma (EA) accounts for about 15% of global esophageal cancer cases [<xref ref-type="bibr" rid="scirp.118319-ref2">2</xref>]. Studies have found that upper gastrointestinal adenocarcinomas share a high degree of similarity in molecular profiles [<xref ref-type="bibr" rid="scirp.118319-ref3">3</xref>] and genomic characteristics [<xref ref-type="bibr" rid="scirp.118319-ref4">4</xref>], so advanced systemic treatment regimens are similar.</p><p>According to the Chinese Society of Clinical Oncology (CSCO) guidelines for the diagnosis and treatment of gastric cancer, fluoropyrimidine combined with platinum-based chemotherapy has been the standard first-line therapy for unresectable and advanced GA and GEJA. Nivolumab, a fully human immunoglobulin G4 monoclonal antibody, can block the PD-1/PD-Ls signaling pathway, restore T cell function, and thus inhibit tumor growth. Nivolumab has been shown to be effective in a variety of cancers. On August 30, 2021, nivolumab was approved by the National Medical Products Administration (NMPA) for the first-line treatment of advanced or metastatic GA, GEJA and EA [<xref ref-type="bibr" rid="scirp.118319-ref5">5</xref>], based on CheckMate649. Data from CheckMate649, a multicenter, randomized, open-label, phase3 clinical trial in 2021, showed that nivolumab could improve both the median progression-free survival (mPFS) and the median overall survival (mOS) in patients with previously untreated GA, GEJA and EA [<xref ref-type="bibr" rid="scirp.118319-ref6">6</xref>].</p><p>Despite significant clinical benefits, the use of nivolumab could increase the economic burden on patients and families. However, economic evaluation has not yet been done. Thus, in this study, a partitioned survival model was established to evaluate the cost-effectiveness of nivolumab plus chemotherapy compared with chemotherapy alone from the perspective of the Chinese healthcare system.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Patients and Intervention</title><p>The target patient population was consistent with that from CheckMate649. The trial enrolled 1581 patients with previously untreated, unresectable, advanced or metastatic GA, GEJA and EA, all aged 18 years or older, from 175 hospitals and cancer centers in 29 countries.</p><p>Patients were randomly assigned to the nivolumab plus chemotherapy group (789 patients) and chemotherapy alone group (792 patients). In chemotherapy alone group, 47% of patients received XELOX (oxaliplatin 130 mg/m<sup>2</sup>, day 1, and capecitabine 1000 mg/m<sup>2</sup> twice a day, days 1 - 14, every 3 weeks) and the other received FOLFOX (oxaliplatin 85 mg/m<sup>2</sup>, day 1, leucovorin 400 mg/m<sup>2</sup>, day 1, and fluorouracil 400 mg/m<sup>2</sup>, day 1 and 1200 mg/m<sup>2</sup>, days 1 - 2, every 2 weeks). In the nivolumab plus chemotherapy group, 46% of patients received nivolumab plus XELOX (nivolumab 360 mg, plus XELOX, every 3 weeks), and the other received nivolumab plus FOLFOX (nivolumab 240 mg, plus FOLFOX, every 2 weeks). Besides, the administration time of nivolumab could not exceed 2 years. Therefore, patients received Subsequent therapy after two years regardless of disease progression.</p></sec><sec id="s2_2"><title>2.2. Model Structure</title><p>Microsoft Excel 2016 was used to develop a partitioned survival model from the perspective of the Chinese healthcare system. The model structure consisted of three states, including progression-free survival (PFS) state, progressed disease (PD) state, and death state (as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>). All patients entered the model in the PFS state. According to CheckMate649, the circulation cycle of the model was set to 6 weeks to simulate the patient’s lifetime until 99% of patients died. The main outputs of the model were the cost, quality-adjusted life years (QALY) and incremental cost-utility ratio (ICUR). According to the China Guidelines for Pharmacoeconomics Evaluations (2020), both cost and utility used a discount rate of 5% annually and used 0% - 8% for deterministic sensitivity analysis [<xref ref-type="bibr" rid="scirp.118319-ref7">7</xref>]. What’s more, three times the gross domestic product (GDP) per capita of China in 2020 (CNY 216,000) was used as the willing-to-pay (WTP) threshold [<xref ref-type="bibr" rid="scirp.118319-ref8">8</xref>].</p></sec><sec id="s2_3"><title>2.3. Survival Extrapolation</title><p>During the trial follow-up period, the proportion of patients in each health state was obtained from Kaplan-Meier (KM) curves in CheckMate649, using GetData Graph Digitizer2.20. Beyond the trial period, extrapolation was constructed to estimate the proportion of patients by parameter method, using R4.1.2. Individual patient data were reconstructed by six distributions, including Exponential, Gamma, Gompertz, Weibull, Log-logistic and Log-normal distribution. The</p><p>proportion of patients calculated from PFS curve represented patients in PFS state. The proportion of patients calculated from OS curve represented all patients who are alive, including patients in PFS state and PD state.</p><p>Optimal survival distribution for extrapolation could be determined according to Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), combined with a visual inspection. As shown in <xref ref-type="table" rid="table1">Table 1</xref>, for OS curves, log-logistic distribution was used for both groups with the best AIC and BIC scores. For PFS curves, log-normal was used for the chemotherapy alone group and Log-logistic distribution was used for nivolumab plus chemotherapy group. The fitting curves could be drawn according to relevant parameters in <xref ref-type="table" rid="table2">Table 2</xref>. As depicted in <xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>, the fitting results were consistent with the original results, exhibiting high reproducibility.</p></sec><sec id="s2_4"><title>2.4. Costs and Utilities</title><p>Only direct medical costs were included in this study, including the cost of drugs, disease management, subsequent therapies and the management of adverse events</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> AIC and BIC values for different distributions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >OS Curves</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Exponential</th><th align="center" valign="middle" >Gamma</th><th align="center" valign="middle" >Gompertz</th><th align="center" valign="middle" >Weibull</th><th align="center" valign="middle" >Log-logistic</th><th align="center" valign="middle" >Log-normal</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Nivolumab + chemotherapy</td><td align="center" valign="middle" >AIC</td><td align="center" valign="middle" >4343.815</td><td align="center" valign="middle" >4284.142</td><td align="center" valign="middle" >4329.830</td><td align="center" valign="middle" >4294.939</td><td align="center" valign="middle" >4270.887</td><td align="center" valign="middle" >4276.096</td></tr><tr><td align="center" valign="middle" >BIC</td><td align="center" valign="middle" >4348.485</td><td align="center" valign="middle" >4293.483</td><td align="center" valign="middle" >4339.171</td><td align="center" valign="middle" >4304.281</td><td align="center" valign="middle" >4280.229</td><td align="center" valign="middle" >4285.437</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Chemotherapy alone</td><td align="center" valign="middle" >AIC</td><td align="center" valign="middle" >4459.273</td><td align="center" valign="middle" >4373.783</td><td align="center" valign="middle" >4433.650</td><td align="center" valign="middle" >4386.669</td><td align="center" valign="middle" >4365.079</td><td align="center" valign="middle" >4373.953</td></tr><tr><td align="center" valign="middle" >BIC</td><td align="center" valign="middle" >4463.948</td><td align="center" valign="middle" >4383.132</td><td align="center" valign="middle" >4443.000</td><td align="center" valign="middle" >4396.019</td><td align="center" valign="middle" >4374.428</td><td align="center" valign="middle" >4383.302</td></tr><tr><td align="center" valign="middle" >PFS Curves</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Nivolumab + chemotherapy</td><td align="center" valign="middle" >AIC</td><td align="center" valign="middle" >3986.570</td><td align="center" valign="middle" >3934.857</td><td align="center" valign="middle" >3984.986</td><td align="center" valign="middle" >3951.199</td><td align="center" valign="middle" >3901.027</td><td align="center" valign="middle" >3901.208</td></tr><tr><td align="center" valign="middle" >BIC</td><td align="center" valign="middle" >3991.241</td><td align="center" valign="middle" >3944.198</td><td align="center" valign="middle" >3994.328</td><td align="center" valign="middle" >3960.540</td><td align="center" valign="middle" >3910.369</td><td align="center" valign="middle" >3910.550</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Chemotherapy alone</td><td align="center" valign="middle" >AIC</td><td align="center" valign="middle" >3680.134</td><td align="center" valign="middle" >3617.684</td><td align="center" valign="middle" >3678.556</td><td align="center" valign="middle" >3637.229</td><td align="center" valign="middle" >3586.524</td><td align="center" valign="middle" >3584.165</td></tr><tr><td align="center" valign="middle" >BIC</td><td align="center" valign="middle" >3684.809</td><td align="center" valign="middle" >3627.033</td><td align="center" valign="middle" >3687.905</td><td align="center" valign="middle" >3646.578</td><td align="center" valign="middle" >3595.873</td><td align="center" valign="middle" >3593.515</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Optimal survival distribution and relevant parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >OS Curves</th><th align="center" valign="middle" >distribution</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >est</th><th align="center" valign="middle" >L95%</th><th align="center" valign="middle" >U95%</th><th align="center" valign="middle" >se</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Nivolumab + chemotherapy</td><td align="center" valign="middle"  rowspan="2"  >loglogistic</td><td align="center" valign="middle" >shape (γ)</td><td align="center" valign="middle" >1.7424</td><td align="center" valign="middle" >1.6235</td><td align="center" valign="middle" >1.8699</td><td align="center" valign="middle" >0.0628</td></tr><tr><td align="center" valign="middle" >scale (λ)</td><td align="center" valign="middle" >0.0736</td><td align="center" valign="middle" >0.0791</td><td align="center" valign="middle" >0.0685</td><td align="center" valign="middle" >0.4979</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Chemotherapy alone</td><td align="center" valign="middle"  rowspan="2"  >loglogistic</td><td align="center" valign="middle" >shape (γ)</td><td align="center" valign="middle" >1.8735</td><td align="center" valign="middle" >1.7507</td><td align="center" valign="middle" >2.0049</td><td align="center" valign="middle" >0.0648</td></tr><tr><td align="center" valign="middle" >scale (λ)</td><td align="center" valign="middle" >0.0881</td><td align="center" valign="middle" >0.0941</td><td align="center" valign="middle" >0.0825</td><td align="center" valign="middle" >0.3821</td></tr><tr><td align="center" valign="middle" >PFS Curves</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Nivolumab + chemotherapy</td><td align="center" valign="middle"  rowspan="2"  >loglogistic</td><td align="center" valign="middle" >shape (γ)</td><td align="center" valign="middle" >1.7734</td><td align="center" valign="middle" >1.6564</td><td align="center" valign="middle" >1.8986</td><td align="center" valign="middle" >0.0617</td></tr><tr><td align="center" valign="middle" >scale (λ)</td><td align="center" valign="middle" >0.1204</td><td align="center" valign="middle" >0.1293</td><td align="center" valign="middle" >0.1121</td><td align="center" valign="middle" >0.3038</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Chemotherapy alone</td><td align="center" valign="middle"  rowspan="2"  >lognormal</td><td align="center" valign="middle" >meanlog (μ)</td><td align="center" valign="middle" >1.8870</td><td align="center" valign="middle" >1.8147</td><td align="center" valign="middle" >1.9593</td><td align="center" valign="middle" >0.0369</td></tr><tr><td align="center" valign="middle" >sdlog (σ)</td><td align="center" valign="middle" >0.9486</td><td align="center" valign="middle" >0.8940</td><td align="center" valign="middle" >1.0066</td><td align="center" valign="middle" >0.0287</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table3">Table 3</xref>). It is assumed that the average body surface area and weight were 1.72 m<sup>2</sup> [<xref ref-type="bibr" rid="scirp.118319-ref9">9</xref>] and 65 kg [<xref ref-type="bibr" rid="scirp.118319-ref10">10</xref>] respectively. The prices of medicines were all sourced from MENET.</p><p>The disease management costs were sourced from HAN Jiaqi [<xref ref-type="bibr" rid="scirp.118319-ref11">11</xref>], including drug administration, hospitalization, imaging and PD-1 testing cost. The PD-1 testing, performed once before starting treatment, was considered a one-time cost for this study. The tumor imaging assessment was done every 6 weeks for the first 48 weeks and every 12 weeks thereafter.</p><p>Grade 3 or higher adverse events that occurred in ≥5% of patients in either treatment in CheckMate649 were included in the model and considered a one-time cost. As illustrated in <xref ref-type="table" rid="table3">Table 3</xref>, adverse events of the nivolumab group versus chemotherapy group were anemia (6.0% vs. 2.7%), neutrophil count decreased (25.7% vs. 20.9%), lipase increased (5.8% vs. 2.1%). The related costs were derived from other cost-utility analysis from the Chinese perspective [<xref ref-type="bibr" rid="scirp.118319-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.118319-ref13">13</xref>].</p><p>The costs of subsequent therapies could be calculated by costs from MENET and the proportion given in CheckMate649.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Cost and utility data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Base-case value</th><th align="center" valign="middle" >Range</th><th align="center" valign="middle" >Distribution</th><th align="center" valign="middle" >Source</th></tr></thead><tr><td align="center" valign="middle" >Treatment costs (CNY per cycle)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nivolumab</td><td align="center" valign="middle" >82561.32</td><td align="center" valign="middle" >66049.056 - 99073.584</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >MENET</td></tr><tr><td align="center" valign="middle" >XELOX</td><td align="center" valign="middle" >6681.99</td><td align="center" valign="middle" >5345.595 - 8018.392</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >MENET</td></tr><tr><td align="center" valign="middle" >FOLFOX</td><td align="center" valign="middle" >19024.40</td><td align="center" valign="middle" >15219.523 - 22829.285</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >MENET</td></tr><tr><td align="center" valign="middle" >Disease management costs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Drug administration and hospitalization</td><td align="center" valign="middle" >402</td><td align="center" valign="middle" >321.6 - 482.4</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >Han Jia-qi et al., [<xref ref-type="bibr" rid="scirp.118319-ref11">11</xref>]</td></tr><tr><td align="center" valign="middle" >Imaging examination (CT or MRI)</td><td align="center" valign="middle" >800</td><td align="center" valign="middle" >640 - 960</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >Han Jia-qi et al., [<xref ref-type="bibr" rid="scirp.118319-ref11">11</xref>]</td></tr><tr><td align="center" valign="middle" >PD - L1 test</td><td align="center" valign="middle" >1410</td><td align="center" valign="middle" >1128 - 1692</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >Han Jia-qi et al., [<xref ref-type="bibr" rid="scirp.118319-ref11">11</xref>]</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Adverse event management costs (per event)</td></tr><tr><td align="center" valign="middle" >Anemia</td><td align="center" valign="middle" >3789.40</td><td align="center" valign="middle" >3031.52 - 4547.28</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >Liu Guo-qiang et al., [<xref ref-type="bibr" rid="scirp.118319-ref13">13</xref>]</td></tr><tr><td align="center" valign="middle" >Neutrophil count decreased</td><td align="center" valign="middle" >3381</td><td align="center" valign="middle" >2704.8 - 4057.2</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >Tan Chongqing et al., [<xref ref-type="bibr" rid="scirp.118319-ref12">12</xref>]</td></tr><tr><td align="center" valign="middle" >Lipase increased</td><td align="center" valign="middle" >298</td><td align="center" valign="middle" >238.4 - 357.6</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >MENET</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Incidence of adverse events in nivolumab plus chemotherapy group</td></tr><tr><td align="center" valign="middle" >Anemia</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.048 - 0.072</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" >CheckMate649 [<xref ref-type="bibr" rid="scirp.118319-ref6">6</xref>]</td></tr><tr><td align="center" valign="middle" >Neutrophil count decreased</td><td align="center" valign="middle" >0.257</td><td align="center" valign="middle" >0.206 - 0.308</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lipase increased</td><td align="center" valign="middle" >0.058</td><td align="center" valign="middle" >0.046 - 0.069</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="5"  >Incidence of adverse events in chemotherapy alone group</td></tr><tr><td align="center" valign="middle" >Anemia</td><td align="center" valign="middle" >0.027</td><td align="center" valign="middle" >0.022 - 0.033</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Neutrophil count decreased</td><td align="center" valign="middle" >0.209</td><td align="center" valign="middle" >0.167 - 0.25</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lipase increased</td><td align="center" valign="middle" >0.021</td><td align="center" valign="middle" >0.017 - 0.025</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >The cost of Subsequent therapy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >In nivolumab plus chemotherapy group</td><td align="center" valign="middle" >17054.49</td><td align="center" valign="middle" >13643.596 - 20465.394</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" >CheckMate649 [<xref ref-type="bibr" rid="scirp.118319-ref6">6</xref>]</td></tr><tr><td align="center" valign="middle" >In chemotherapy alone group</td><td align="center" valign="middle" >21582.01</td><td align="center" valign="middle" >17265.608 - 25898.412</td><td align="center" valign="middle" >GAMMA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Health state utility values</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >PFS</td><td align="center" valign="middle" >0.797</td><td align="center" valign="middle" >0.638 - 0.956</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" >T Shiroiwa [<xref ref-type="bibr" rid="scirp.118319-ref14">14</xref>]</td></tr><tr><td align="center" valign="middle" >PD</td><td align="center" valign="middle" >0.577</td><td align="center" valign="middle" >0.462 - 0.692</td><td align="center" valign="middle" >BATA</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Discount rate</td><td align="center" valign="middle" >5%</td><td align="center" valign="middle" >0% - 8%</td><td align="center" valign="middle"  colspan="2"  >China Guidelines for Pharmacoeconomics Evaluations (2020) [<xref ref-type="bibr" rid="scirp.118319-ref7">7</xref>]</td></tr></tbody></table></table-wrap><p>Note. PFS: progress-free survival; PD: progressive disease.</p><p>The utility values of the three health states of PFS, PD and death in the model were 0.797, 0.577 and 0, respectively, and were sourced from published literature [<xref ref-type="bibr" rid="scirp.118319-ref14">14</xref>].</p></sec><sec id="s2_5"><title>2.5. Sensitivity Analysis</title><p>Deterministic sensitivity analysis (DSA) was carried out to evaluate the influence of parameter changes within a certain range. The variation ranges of parameters were 0% - 8% for the discount rate and &#177;20% of the base value for the other (as shown in <xref ref-type="table" rid="table3">Table 3</xref>). The analysis result is presented with a tornado diagram.</p><p>In addition, probabilistic sensitivity analysis (PSA) was conducted using 1000- times Monte Carlo simulation. The analysis result is presented in the form of a cost-effectiveness acceptability curve (CEAC) to evaluate the robustness of the model.</p></sec><sec id="s2_6"><title>2.6. Scenario Analysis</title><p>According to the China Guidelines for Pharmacoeconomics Evaluations (2020), ICUR value between 1 time and 3 times the GDP per capita of China indicates that the regimen is economical, and ICUR lower than 1 times the GDP per capita of China indicates that the regimen is extremely economical.</p><p>Therefore, in this study, the WTP thresholds were set to be about 1 time and 3 times the GDP per capita of China, respectively, in order to provide a price reference for medical insurance negotiations.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Base-Case Analysis</title><p>The results of the base-case analysis shown in <xref ref-type="table" rid="table4">Table 4</xref> indicated that compared with the chemotherapy alone group, patients in the nivolumab plus chemotherapy group received more benefits but cost more. It is calculated that ICUR value was CNY 267498.67 per QALY, far more than 3 times the GDP per capita of China in 2020 (CNY 216,000). Thus, under 3 times the GDP per capita of China in 2020 as the WTP threshold, nivolumab plus chemotherapy was not a cost-effective option over chemotherapy alone.</p></sec><sec id="s3_2"><title>3.2. Deterministic Sensitivity Analysis</title><p>According to tornado diagram depicted in <xref ref-type="fig" rid="fig4">Figure 4</xref>, the ICUR value was more sensitive to the utility value of PFS state, the cost of nivolumab, discount rate, the cost of subsequent therapy for nivolumab group and chemotherapy group, and the utility value of PD state, etc. In addition, the cost of testing and adverse event management had a weaker influence on the ICUR value. Generally speaking, the ICUR value ranged between CNY 216919.36/QALY and CNY 325246.55/QALY, all higher than 3 times the GDP per capita of China in 2020 (CNY 216,000).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Cost-utility of nivolumab + chemotherapy vs chemotherapy alone</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Costs (CNY)</th><th align="center" valign="middle" >Utilities (QALYs)</th></tr></thead><tr><td align="center" valign="middle" >Nivolumab + chemotherapy</td><td align="center" valign="middle" >778470.78</td><td align="center" valign="middle" >10.08</td></tr><tr><td align="center" valign="middle" >Chemotherapy alone</td><td align="center" valign="middle" >204725.62</td><td align="center" valign="middle" >7.93</td></tr><tr><td align="center" valign="middle" >Difference</td><td align="center" valign="middle" >573745.16</td><td align="center" valign="middle" >2.14</td></tr><tr><td align="center" valign="middle" >ICUR (CNY/QALY)</td><td align="center" valign="middle"  colspan="2"  >267498.67</td></tr></tbody></table></table-wrap><p>Note. ICUR: incremental cost-utility ratio.</p><p>Therefore, nivolumab plus chemotherapy was not more cost-effective than chemotherapy alone.</p></sec><sec id="s3_3"><title>3.3. Probabilistic Sensitivity Analysis</title><p>The results of the Monte Carlo simulation are shown in <xref ref-type="table" rid="table5">Table 5</xref>, compared with the results of the base-case analysis. The results showed that both mean and median ICUR value in the Monte Carlo simulation were high than 3 times the GDP per capita of China in 2020 (CNY 216,000), illustrating that nivolumab was not economical.</p><p>The results of probabilistic sensitivity analysis in the form of CEAC are depicted in <xref ref-type="fig" rid="fig5">Figure 5</xref>. Nivolumab plus chemotherapy group became more economical with an increase in the willingness-to-pay threshold. When the willingness-to-pay threshold reached CNY 216,000/QALY, the probability of cost-effectiveness of camrelizumab plus chemotherapy was approximately 29% was consistent with those of base-case analysis, proving that the results were robust. Under the WTP threshold of CNY 265,580/QALY, two curves intercross, which means that nivolumab plus chemotherapy has a 50% chance of being cost-effective compared to chemotherapy alone. Therefore, the results of probabilistic sensitivity analysis were basically consistent with those of the base-case analysis, proving that the results of base-case analysis were robust.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Comparision between Monto Carlo simulation and base-case analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  rowspan="2"  >Base-case Analysis</th><th align="center" valign="middle"  colspan="2"  >Monte Carlo simulation</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Median</td></tr><tr><td align="center" valign="middle" >Costs (CNY)</td><td align="center" valign="middle" >Nivolumab + chemotherapy</td><td align="center" valign="middle" >778470.78</td><td align="center" valign="middle" >777897.17</td><td align="center" valign="middle" >764293.86</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Chemotherapy alone</td><td align="center" valign="middle" >204725.62</td><td align="center" valign="middle" >206570.26</td><td align="center" valign="middle" >203128.18</td></tr><tr><td align="center" valign="middle" >Utilities (QALYs)</td><td align="center" valign="middle" >Nivolumab + chemotherapy</td><td align="center" valign="middle" >10.08</td><td align="center" valign="middle" >9.24</td><td align="center" valign="middle" >8.73</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Chemotherapy alone</td><td align="center" valign="middle" >7.93</td><td align="center" valign="middle" >7.17</td><td align="center" valign="middle" >6.55</td></tr><tr><td align="center" valign="middle" >ICUR (CNY/QALY)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >267498.67</td><td align="center" valign="middle" >275160.04</td><td align="center" valign="middle" >256613.79</td></tr></tbody></table></table-wrap><p>Note. ICUR: incremental cost-utility ratio.</p></sec><sec id="s3_4"><title>3.4. Scenario Analysis</title><p>As mentioned above, the cost of nivolumab had the greatest impact on ICUR value. Thus, further study was carried out to explore the price of nivolumab when it was economical.</p><p>According to <xref ref-type="table" rid="table6">Table 6</xref>, when the price of nivolumab (4 ml: 40 mg) was CNY 3652.71, the ICUR value was calculated to be CNY 215999.58/QALY, lower than 3 times the GDP per capita of China in 2020 (CNY 216,000), indicating that nivolumab was economic.</p><p>When the price of nivolumab (4 ml: 40 mg) was CNY 1041.01, the ICUR value was calculated to be CNY 71999.73/QALY, lower than 1 time the GDP per capita of China in 2020 (CNY 72,000), indicating that nivolumab was extremely economical.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>In Checkmate649, although grade 3 or higher treatment-related adverse events were more frequent with nivolumab plus chemotherapy alone compared with</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> The result of scenario analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >The price of nivolumab</th><th align="center" valign="middle"  colspan="2"  >Nivolumab + chemotherapy</th><th align="center" valign="middle"  colspan="2"  >Chemotherapy alone</th><th align="center" valign="middle"  rowspan="2"  >ICUR (CNY/QALY)</th></tr></thead><tr><td align="center" valign="middle" >Cost (CNY)</td><td align="center" valign="middle" >Utility (QALYs)</td><td align="center" valign="middle" >Cost (CNY)</td><td align="center" valign="middle" >Utility (QALYs)</td></tr><tr><td align="center" valign="middle" >3652.71</td><td align="center" valign="middle" >664518.56</td><td align="center" valign="middle" >10.08</td><td align="center" valign="middle" >201231.35</td><td align="center" valign="middle" >7.93</td><td align="center" valign="middle" >215999.58</td></tr><tr><td align="center" valign="middle" >1041.01</td><td align="center" valign="middle" >345889.58</td><td align="center" valign="middle" >10.08</td><td align="center" valign="middle" >191460.79</td><td align="center" valign="middle" >7.93</td><td align="center" valign="middle" >71999.73</td></tr></tbody></table></table-wrap><p>Note. ICUR: incremental cost-utility ratio.</p><p>chemotherapy alone group, nivolumab plus chemotherapy resulted in a 3.3- month improvement in median OS (14.4 months vs. 11.1 months) and a 1.7- months improvement in median PFS (7.7 months vs. 6.0 months). Based on significant clinical benefits in Checkmate649, nivolumab became the first and only PD-1 inhibitor to greatly improve median OS and PFS in the field of gastric cancer in China with acceptable safety. It was the first major breakthrough in this field for more than a decade and filled the gap in first-line treatment for advanced gastric cancer.</p><p>In this study, a three-state partitioned survival model was conducted to evaluate the cost-utility of nivolumab plus chemotherapy versus chemotherapy alone in the first-line treatment for GA, GEJA and EA. Compared with the Markov model, partitioned survival model can simulate disease events more directly and accurately because it can avoid some unnecessary assumptions without calculating the transition probability between states [<xref ref-type="bibr" rid="scirp.118319-ref15">15</xref>]. The results of the base-case analysis indicated that ICUR value was CNY 267498.67/QALY, more than 3 times the GDP per capita of China in 2020 (CNY 216,000). The results of deterministic sensitivity analysis indicated that the three parameters that most greatly impact on the ICUR value were the utility value of PFS state, the cost of nivolumab and the discount rate. The results of probabilistic sensitivity analysis illustrated a 29% probability of being lower than CNY 216,000/QALY, indicating the results of base-case analysis were robust and of practical significance. The scenario analysis indicated that economical price of nivolumab (4 ml: 40 mg) was CNY 3652.71.</p><p>Taking the charity drug donation policy into account, the total cost for nivolumab plus chemotherapy group would sharply decrease to CNY 496885.95, which was only CNY 292160.33 higher than that of the chemotherapy alone group. The ICUR value was calculated to be CNY 136214.66/QALY, below 3 times the GDP per capita of China in 2020 (CNY 216,000), indicating that the nivolumab plus chemotherapy group was more economical. Therefore, reducing the price of nivolumab can significantly raise the economic probability of the nivolumab group. Combined with the clinical benefit, it is suggested that nivolumab plus chemotherapy could be included in the medical insurance list to further improve the accessibility of drugs and alleviate the disease burden of patients.</p><p>208 Chinese patients were included in CheckMate649 and the proportion was the highest among all countries. Thus, the results could also be extrapolated to the Chinese population. Presently, there are great economic differences among different regions in China. WTP threshold can be set under 3 times gross regional product per capita to judge whether nivolumab is economic among different regions in China. It was found that only in economically developed areas, such as Beijing, Tianjin, Shanghai, Jiangsu, etc., this treatment was considered a cost-effective option. What’s more, the results can also apply to gastric cancer because 70% of patients suffer from gastric cancer.</p><p>However, this study has some limitations. First, like a majority of pharmacoeconomic evaluations, this study was modeled based on published clinical trial data, and the model parameters were derived from secondary literature. Secondly, the proportion of patients was directly exacted from the original curve in the first 25 cycle, and was extrapolated by parameter method. It was found that fitting data of the first 25 cycle were not significantly different from the original (difference &lt; 5%). But it was bound to be different from the real-world situation, which would have a certain influence on the final research results. AIC and BIC values were relatively close, so log-normal distribution was used to supplement the results. It is displayed that the ICUR value was CNY 285,296.58/QALY, also more than 3 times the GDP per capita of China in 2020. Thus, the nivolumab plus chemotherapy group was also not economical, and the result was robust and practical. Lastly, utility values were not reported in CheckMate649, so those were derived from an economic evaluation for the treatment of advanced gastric cancer, which might not accurately reflect the state of all patients in the current model. But it was mentioned above that although utility values could have a great effect on ICUR value, nivolumab plus chemotherapy was always uneconomical within range of variation.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In general, under the willing-to-pay threshold of 3 times the GDP per capita of China in 2020, compared with chemotherapy alone, nivolumab plus chemotherapy is not a cost-effective option in China. The result is robust and of practical significance. When the price of nivolumab (4 ml: 40 mg) was reduced to CNY 3652.71, nivolumab plus chemotherapy was economical. These findings can provide a reference for local clinical decision-making and for medical insurance negotiations in China.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Fan, X. and Chen, Y.F. (2022) Cost-Utility Analysis of Nivolumab plus Chemotherapy in the First-Line Treatment of Upper Gastrointestinal Adenocarcinoma. Pharmacology &amp; Pharmacy, 13, 212-224. https://doi.org/10.4236/pp.2022.136017</p></sec></body><back><ref-list><title>References</title><ref id="scirp.118319-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Sung, H., Ferlay, J., Siegel, R.L., Laversanne, M., Soerjomataram, I., Jemal, A. and Bray, F. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71, 209-249. https://doi.org/10.3322/caac.21660</mixed-citation></ref><ref id="scirp.118319-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Thrift, A.P. (2021) Global Burden and Epidemiology of Barrett Oesophagus and Oesophageal Cancer. Nature Reviews Gastroenterology &amp; Hepatology, 18, 432-443. https://doi.org/10.1038/s41575-021-00419-3</mixed-citation></ref><ref id="scirp.118319-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Salem, M.E., Alberto, P., Xiu, J., Derek, R., Heinz-Josef, L., Michael, K.W., Shields, A.F., Philip, P.A., Marshall, J.L. and Goldberg, R.M. (2018) Comparative Molecular Analyses of Esophageal Squamous Cell Carcinoma, Esophageal Adenocarcinoma, and Gastric Adenocarcinoma. Oncologist, 23, 1319-1327. https://doi.org/10.1634/theoncologist.2018-0143</mixed-citation></ref><ref id="scirp.118319-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Pape, M., Vissers, P.A.J., Bertwistle, D., Mcdonald, L., van Laarhoven, H.W.M. and Verhoeven, R.H. (2020) A Nationwide Population-Based Study Comparing Survival in Unresectable Advanced or Synchronous Metastatic Esophageal and Gastric Adenocarcinoma. Journal of Clinical Oncology, 38, 308. https://doi.org/10.1200/JCO.2020.38.4_suppl.308</mixed-citation></ref><ref id="scirp.118319-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">National Medical Products Administration (2021) Released Information for Drug Approval Documents to be Collected on August 30. https://www.nmpa.gov.cn/zwfw/sdxx/sdxxyp/yppjfb/20210830130457154.html</mixed-citation></ref><ref id="scirp.118319-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Janjigian, Y.Y., Shitara, K., Moehler, M., Garrido, M., Salman, P., Shen, L., Wyrwicz, L., Yamaguchi, K., Skoczylas, T., Campos Bragagnoli, A., Liu, T., Schenker, M., Yanez, P., Tehfe, M., Kowalyszyn, R., Karamouzis, M.V., Bruges, R., Zander, T., Pazo-Cid, R., Hitre, E., Feeney, K., Cleary, J.M., Poulart, V., Cullen, D., Lei, M., Xiao, H., Kondo, K., Li, M. and Ajani, J.A. (2021) First-Line Nivolumab Plus Chemotherapy Versus Chemotherapy Alone for Advanced Gastric, Gastro-Oesophageal Junction, and Oesophageal Adenocarcinoma (CheckMate 649): A Randomised, Open-Label, Phase 3 Trial. The Lancet, 398, 27-40. https://doi.org/10.1016/S0140-6736(21)00797-2</mixed-citation></ref><ref id="scirp.118319-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">LIU, G.E. (2020) China Guidelines for Pharmaco-Economics Evaluations. China Market Press, Beijing, 27-46.</mixed-citation></ref><ref id="scirp.118319-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">National Bureau of Statistics of China (2021) China Statistical Yearbook 2021. http://www.stats.gov.cn/tjsj/ndsj/2021/indexch.htm</mixed-citation></ref><ref id="scirp.118319-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Zeng, X.H., Peng, L.B., Li, J.H., Chen, G.N., Tan, C.Q., Wang, S.Y., Wan, X.M., Ouyang, L.H. and Zhao, Z.Y. (2013) Cost-Effectiveness of Continuation Maintenance Pemetrexed After Cisplatin and Pemetrexed Chemotherapy for Advanced Nonsquamous Non–Small-Cell Lung Cancer: Estimates From the Perspective of the Chinese Health Care System. Clinical Therapeutics, 35, 54-65. https://doi.org/10.1016/j.clinthera.2012.12.013</mixed-citation></ref><ref id="scirp.118319-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Luo, X., Liu, Q., Yi, L.D., Peng, L.B., Tan, C.Q., Li, J.H., Li, S.N., Ma, F. and Zeng, X.H. (2021) Pharmacoeconomic Evaluation of Ramucirumab as a Single Agent Second-Line Chemotherapy for Advanced Gastric or Gastro-Oesophageal Junction Adenocarcinoma. Chinese Journal of New Drugs and Clinical Remedies, 40, 582-587.</mixed-citation></ref><ref id="scirp.118319-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Han, J.Q., She, L.J., Yao, L.L., Huang, J. (2019) Cost-Effectiveness Analysis of Nivolumab in Treatment of Chemotherapy-Refractory Advanced Gastric Cancer Based on Markov Model. Chinese Journal of General Surgery, 28, 327-334.https://doi.org/10.7659/j.issn.1005-6947.2019.03.012</mixed-citation></ref><ref id="scirp.118319-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Tan, C.Q., Peng, L.B., Zeng, X.H., Li, J.H., Wan, X.M., Chen, G.N., Wang, S.Y., Ouyang, L.H. and Zhao, Z.Y. (2014) Cost–Utility Analysis of the Newly Recommended Adjuvant Chemotherapy for Resectable Gastric Cancer Patients in the 2011 Chinese National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology: Gastric Cancer. Pharmacoeconomics, 32, 235-243. https://doi.org/10.1007/s40273-013-0065-2</mixed-citation></ref><ref id="scirp.118319-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Liu, G.Q. and Kang, S. (2021) Cost-Utility Analysis of Atezolizumab Combined with Standard Chemotherapy Regimen in the First-Line Treatment of Extensive-Stage Small-Cell Lung Cancer. China Pharmacy, 32, 77-81.</mixed-citation></ref><ref id="scirp.118319-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Shiroiwa, T., Fukuda, T. and Shimozuma, K. (2011) Cost-Effectiveness Analysis of Trastuzumab to Treat HER2-Positive Advanced Gastric Cancer Based on the Randomised ToGA Trial. British Journal of Cancer, 105, 1273-1278. https://doi.org/10.1038/bjc.2011.390</mixed-citation></ref><ref id="scirp.118319-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Shao, R.J., Tang, W.X. and Ma, A.X. (2019) The Partitioned Survival Model Applied in Pharmacoeconomic Evaluation. Chinese Health Economics, 38, 60-63.</mixed-citation></ref></ref-list></back></article>