Evidence map›Paper›PMID 39498342›Full record

ArticleFrontiers in pharmacology2024

Atezolizumab plus bevacizumab and chemotherapy versus bevacizumab plus chemotherapy for metastatic cervical cancer: a cost-effectiveness analysis.

Hongfu Cai, Ling Fang, Jingwen Lin, Zhiwei Zheng

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Hongfu Cai *Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China.
Ling Fang *Department of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jingwen Lin *Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China.
Zhiwei ZhengDepartment 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

Aim: The objective of this study is to conduct a cost-effectiveness analysis in order to evaluate the economic advantages of incorporating atezolizumab into a standard bevacizumab plus platinum regimen for the treatment of metastatic cervical cancer from the Chinese medical system perspective. Method: We developed a partitioned survival model based on data obtained from the recently published BEATcc clinical trial and economic cost data. Our model utilized a tree-based decision analysis approach to simulate two different treatment strategies for metastatic cervical cancer: the standard bevacizumab plus platinum regimen, and the addition of atezolizumab to the standard treatment regimen. The economic assessment data included the costs of the drugs, costs related to treatment-induced adverse events. The cost-effectiveness metrics used in the analysis were quality-adjusted life-year (QALY) and incremental cost-effectiveness ratio (ICER). The robustness of our model was assessed through sensitivity analysis. Result: The total costs of the atezolizumab group were $128179.56, while the costs of chemotherapy group were $42065.89. The atezolizumab group gained 3.52 QALYs, whereas the chemotherapy group gained 2.35 QALY. The atezolizumab regimen resulted in an increase of 1.17 QALYs at an incremental cost of $86113.67. This led to an ICER of $73601.43, which exceeds the willingness-to-pay (WTP) threshold of $39855.79 in China. Sensitivity analysis demonstrated none of the parameters within a margin of ±25% result in significant alterations to the analysis findings. Conclusion: Atezolizumab plus bevacizumab and chemotherapy was not to be a cost-effective option for the treatment of metastatic cervical cancer compared to bevacizumab plus chemotherapy.

Indexed as

atezolizumabbevacizumab plus chemotherapycost-effectiveness analysismetastatic cervical cancerpartitioned survival model

Identifiers

PMID39498342
PMCPMC11532157

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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.