Evidence map›Paper›PMID 38659013›Full record

ArticleCost effectiveness and resource allocation : C/E2024

Cost-effectiveness of sacituzumab govitecan versus single-agent chemotherapy for metastatic triple-negative breast cancer: a trial-based analysis.

Yilai Wu, Shanshan Hu, Xiaolin Liu, Yang Chen, Jiajie Luan, Shuowen Wang

Open access · goldAbstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
  6. Review
  7. Article
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

6 authors at 3 institutions in 1 country.

Yilai Wu *Department of Clinical Pharmacy, The First Affiliated Hospital of Wannan Medical College, 241001, Wuhu, Anhui, China.
Shanshan Hu *Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 200080, Shanghai, China.
Xiaolin LiuDepartment of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 200080, Shanghai, China.
Yang ChenDepartment of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 200080, Shanghai, China.
Jiajie LuanDepartment of Clinical Pharmacy, The First Affiliated Hospital of Wannan Medical College, 241001, Wuhu, Anhui, China. luanjiajie757@163.com.
Shuowen WangDepartment of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 200080, Shanghai, China. wangshuowensy@163.com.
Shanghai Jiao Tong University · CNFirst Affiliated Hospital of Wannan Medical College · CNShanghai First People's Hospital · CN

Funding

National Natural Science Foundation of China 82003844Research Fund for Clinical Pharmacy of China International Medical Foundation Z-2021-46-2101Shanghai "Rising Stars of Medical Talents" Youth Development Program-Youth Medical Talents: Clinical Pharmacist Program SHWSRS (2020) 087
6 · The paper itself

Abstract

backgroundSacituzumab govitecan (SG) has recently been approved in China for the post-line treatment of metastatic triple-negative breast cancer (mTNBC). SG substantially improves progression-free survival and overall survival compared with single-agent chemotherapy for pretreated mTNBC. However, in view of the high price of SG, it is necessary to consider its value in terms of costs and outcomes. This study aimed to estimate the cost-effectiveness of SG versus single-agent treatment of physician's choice (TPC) in the post-line setting for patients with mTNBC from a Chinese healthcare system perspective.

methodsThe cohort characteristics were sourced from the ASCENT randomized clinical trial, which enrolled 468 heavily pretreated patients with mTNBC between November 2017 and September 2019. A partitioned survival model was constructed to assess the long-term costs and effectiveness of SG versus TPC in the post-line treatment of mTNBC. Quality-adjusted life-months (QALMs) and total costs in 2022 US dollars were used to derive incremental cost effectiveness ratio (ICER). QALMs and costs were discounted at 5% annually. The willingness-to-pay (WTP) threshold was defined as $3188 per QALM, three times China's average monthly per capita gross domestic product in 2022. One-way sensitivity analysis, probabilistic sensitivity analysis, and scenario analyses were performed to estimate the robustness of the results.

resultsTreatment with SG yielded an incremental 5.17 QALMs at a cost of $44,792 per QALM, much above the WTP threshold of $3188/QALM in China. One-way sensitivity analysis showed that SG price was a crucial factor in the ICER. Probabilistic sensitivity analysis revealed that the cost-effective acceptability of SG was 0% in the current setting. Scenario analyses indicated that the result was robust in all subgroups in ASCENT or under different time horizons. Furthermore, SG must reduce the price to enter the Chinese mainland market. When the monthly cost of SG reduce to $2298, SG has about 50% probability to be a preferred choice than TPC.

conclusionsSG was estimated to be not cost-effective compared with TPC for post-line treatment for mTNBC in China by the current price in HK under a WTP threshold of $3188 per QALM. A drastic price reduction is necessary to improve its cost-effectiveness.

Indexed as

Cost-effectiveness analysisMetastatic triple-negative breast cancerSacituzumab govitecanSingle-agent chemotherapy

Identifiers

PMID38659013
PMCPMC11044338
OpenAlexW4395082634

What OpenQuestion holds

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LicenceCC BY
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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.