Evidence map›Paper›PMID 38813103›Full record

ArticleFrontiers in pharmacology2024

Cost-effectiveness analysis of tislelizumab plus chemotherapy as the first-line treatment for advanced or metastatic esophageal squamous cell carcinoma in China.

Yanhong Liu, Rong Shao

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Yanhong LiuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Rong ShaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: First-line treatment with tislelizumab plus chemotherapy has shown clinical benefits for patients with advanced or metastatic esophageal squamous cell carcinoma (OSCC) in China, while its economic burden is unknown. This study aimed to evaluate the cost-effectiveness of tislelizumab plus chemotherapy from the perspective of the Chinese healthcare system. Methods: We constructed a partitioned survival model to compare the cost-effectiveness of tislelizumab plus chemotherapy with chemotherapy in patients with advanced OSCC. Patient characteristics and clinical outcomes were extracted from RATIONALE-306. Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) were selected as the study outcomes. Sensitivity analysis and subgroup analysis were conducted to test the stability of the results. Results: Tislelizumab plus chemotherapy provided additional 0.48 QALYs with the incremental cost of $16,587.2 than chemotherapy, of which ICER was $34,699.72 per QALY. When the willingness-to-pay threshold was set as $37,260, the novel therapy had a probability of 77% to be cost-effective. Our base-case analysis results were sensitive to utilities of progression-free survival and progression of disease. Our subgroup analysis showed that the novel therapy was associated with cost-effectiveness in patients with a high expression of PD-L1. Conclusion: Tislelizumab plus chemotherapy was likely to be more cost-effective compared with chemotherapy in the first-line therapy of advanced OSCC from the perspective of the Chinese healthcare system. Our findings can provide clinicians and decision-makers with evidence of the cost-effectiveness of tislelizumab.

Indexed as

advanced OSCCChinese healthcare systemcost-effectiveness analysispartitioned survival modeltislelizumab

Identifiers

PMID38813103
PMCPMC11135043

What Socratic holds

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Registered trials

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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 Socratic graph.