Evidence map›Paper›PMID 38711525›Full record

ArticleFrontiers in immunology2024

Cost-effectiveness of additional serplulimab to chemotherapy in metastatic squamous non-small cell lung cancer patients.

Hanrui Zheng, Ya Zeng, Feng Wen, Ming Hu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Hanrui ZhengWest China School of Pharmacy, Sichuan University, Chengdu, China.
Ya ZengDepartment of Clinical Pharmacy, West China Hospital, Sichuan University, Chengdu, China.
Feng WenDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Ming HuWest China School of Pharmacy, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To estimate the cost-effectiveness of adding serplulimab to chemotherapy for metastatic squamous non-small cell lung cancer (NSCLC) patients in a first-line setting from a Chinese perspective. Methods: A three-health state partitioned survival model was constructed to simulate disease development. The clinical data used in the model were derived from the ASTRUM-004 clinical trial. Only direct medical costs were included, and the utilities were derived from published literature. The quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratio (ICER) were employed to evaluate health outcomes. Additionally, a sensitivity analysis was performed to verify the robustness of the results. Results: Compared with chemotherapy alone, the addition of serplulimab resulted in an increase of 0.63 QALYs with an incremental cost of $5,372.73, leading to an ICER of $8,528.14 per QALY. This ICER was significantly lower than 3 times China's per capita GDP. The one-way sensitivity analysis suggested that the utility of PFS was the most sensitive factor on ICERs, followed by the price of serplulimab. Conclusion: The combination of serplulimab and chemotherapy has been shown to be a cost-effective initial treatment option for patients with metastatic squamous NSCLC with the commonly accepted willingness-to-pay threshold of 3 times the GDP per capita per QALY in China.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungCost-Benefit AnalysisLung NeoplasmsQuality-Adjusted Life YearsAntibodies, Monoclonal, HumanizedChinaFemaleHumansMaleMiddle AgedNeoplasm MetastasisAntibodies, Monoclonal, Humanizedchemotherapycost-effectivenesspartitioned survival modelserplulimabsquamous non-small cell lung cancer

Identifiers

PMID38711525
PMCPMC11070458

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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.