Evidence map›Paper›PMID 36840914›Full record

ArticleBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2023

Serplulimab Plus Chemotherapy vs Chemotherapy for Treatment of US and Chinese Patients with Extensive-Stage Small-Cell Lung Cancer: A Cost-Effectiveness Analysis to Inform Drug Pricing.

Taihang Shao, Mingye Zhao, Leyi Liang, Wenxi Tang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  7. Cost-effectiveness of socazolimab plus chemotherapy vs. standard chemotherapy for first-line treatment of extensive-stage small cell lung cancer: a U.S. and China perspective.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Taihang Shao *Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, 639 Longmian Road, Jiangning District, Nanjing, 211198, China.
Mingye Zhao *Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, 639 Longmian Road, Jiangning District, Nanjing, 211198, China.
Leyi LiangCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, 639 Longmian Road, Jiangning District, Nanjing, 211198, China.
Wenxi TangCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, 639 Longmian Road, Jiangning District, Nanjing, 211198, China. tokammy@cpu.edu.cn.ORCID http://orcid.org/0000-0002-3564-3626
China Pharmaceutical University · CN

Funding

National Natural Science Foundation of China 72174207
6 · The paper itself

Abstract

backgroundSerplulimab is a potential valuable therapy, while patients, physicians, and decision-makers are uncertain about the cost-effectiveness of this novel drug and its corresponding reasonable price. This study aimed to simulate the price at which serplulimab was cost-effective as first-line therapy for United States (US) and Chinese extensive-stage small-cell lung cancer (ES-SCLC) patients.

methodsIn this economic evaluation, a partitioned survival model was constructed from the perspective of US and Chinese payers. Baseline characteristics of patients and critical clinical data were obtained from ASTRUM-005. Costs and utilities were collected from open-access databases and published literature. Cumulative costs (in US dollars), life years, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) were measured and compared. Price simulation was conducted to inform the pricing strategy at the given willingness-to-pay (WTP) threshold. The robustness of the model was assessed via sensitivity analyses and scenario analyses; subgroup analyses were also included.

resultsBase-case analysis indicated that serplulimab ($818.16/100 mg) would be cost-effective in the US at the WTP threshold of $150,000, with improved effectiveness of 0.61 QALYs and an additional cost of $64,918 (ICER $106,757). Serplulimab ($818.16/100 mg, patient assistance program considered) was cost-effective in China, with improved effectiveness of 0.58 QALYs and an increased overall cost of $19,369 (ICER $33,392). The price simulation results indicated that serplulimab was favored in the US when the price was less than $762.11/100 mg and $1261.57/100 mg at the WTP threshold of $100,000 and $150,000, respectively; it was cost-effective at the WTP threshold of $38,184 when the price was less than $373.37/100 mg in China. Sensitivity analyses revealed that the above results were stable. Subgroup analysis results indicated an overall trend for subgroups with better survival advantages to have a higher probability of cost-effectiveness, despite serplulimab not being cost-effective in some subgroups.

conclusionsSerplulimab might be a valuable and cost-effective therapy in both the US and China. The evidence-based pricing strategy provided by this study could benefit decision-makers in making optimal decisions and clinicians in general clinical practice. More evidence about the budget impact and affordability for patients is needed.

Indexed as

Antibodies, MonoclonalCost-Effectiveness AnalysisLung NeoplasmsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsChinaCost-Benefit AnalysisDrug CostsHumansUnited StatesAntibodies, MonoclonalAntineoplastic Agents

Identifiers

PMID36840914
OpenAlexW4321997033

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.