Evidence map›Paper›PMID 40512778›Full record

ArticlePloS one2025

Cost-effectiveness analysis of adebrelimab in combination with chemotherapy for first-line treatment of extensive-stage small cell lung cancer.

Zhiwei Zheng, Huide Zhu, Ling Fang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zhiwei ZhengDepartment of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, China.ORCID 0000-0002-7815-3221
Huide ZhuDepartment of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, China.
Ling FangDepartment of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess the cost-effectiveness of adebrelimab in combination with chemotherapy as a first-line treatment for extensive-stage small cell lung cancer (ES-SCLC) from the Chinese medical perspective.

methodsWe have designed a partitioned survival model. The model integrates clinical information pertaining to overall survival, progression-free survival, adverse events and cost data. Our primary measure of outcome in this model is quality-adjusted life years (QALY) and the incremental cost-effectiveness ratio (ICER). The model adopted a willingness to pay (WTP) threshold of $40,343.68 per QALY. To account for uncertainty in the model parameters, we conducted sensitivity analyses.

resultsThe total expenditure for the adebrelimab group was $79,549.34, compared to $6,436.80 for the chemotherapy group. The adebrelimab cohort achieved an incremental gain of 1.25 QALY, resulting in an additional cost of $73,112.54. Consequently, the ICER for the adebrelimab group was determined to be $58,490.03 per QALY, surpassing the WTP threshold of $40,343.68 in China. The sensitivity analyses demonstrated the robustness of the findings across various scenarios.

conclusionThis cost-effectiveness analysis indicates that adebrelimab plus chemotherapy as a first-line treatment for ES-SCLC was not cost-effective in China with a WTP of $40,343.68.Reducing the cost of adebrelimab promises to improve the cost-effectiveness of this treatment regimen.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsLung NeoplasmsSmall Cell Lung CarcinomaChinaCost-Benefit AnalysisCost-Effectiveness AnalysisFemaleHumansMaleMiddle AgedQuality-Adjusted Life YearsAntibodies, Monoclonal, Humanized

Identifiers

PMID40512778
PMCPMC12165369

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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.