ArticleRisk management and healthcare policy2023
Cost-Effectiveness Analysis of Tislelizumab Plus Chemotherapy as First-Line Treatment for Advanced or Metastatic Esophageal Squamous Cell Carcinoma in China.
Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Article
- Cadonilimab plus chemotherapy for patients with HER2-negative advanced gastric or gastroesophageal junction adenocarcinoma in China and the United States: a cost-effectiveness analysis.Therapeutic advances in medical oncology · 2026Article
- Cost-effectiveness of PD-1 inhibitors combined with chemotherapy for first-line treatment of oesophageal squamous cell carcinoma in China: a comprehensive analysis.Annals of medicine · 2025Article
- Cost-effectiveness analysis of tislelizumab plus chemotherapy as first-line treatment for HER2-negative advanced gastric or gastro-oesophageal junction adenocarcinoma.Frontiers in pharmacology · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tislelizumab plus chemotherapy improved overall survival compared to chemotherapy alone, while maintaining an acceptable level of safety. But it's still unclear which strategy is the most cost-effective. The objective of the study was to compare the cost-effectiveness of tislelizumab plus chemotherapy as first-line therapy for patients with advanced or metastatic esophageal squamous cell carcinoma (ESCC) versus chemotherapy alone. Methods: A partitioned survival model with three states was constructed based on the RATIONALE-306 trial. The model's time horizon was ten years, and its cycle was three weeks. Only direct medical costs were considered from the healthcare perspective in China. Calculations were performed on total costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs). One-way sensitivity and probabilistic sensitivity analysis (PSA) were performed to determine the uncertainty regarding model parameters. Results: Tislelizumab plus chemotherapy provided 1.35 QALYs for $26,450.77, while chemotherapy alone provided 0.89 QALY for $16,687.15. Compared to chemotherapy alone, tislelizumab had an ICER of $21,062.09/QALY. At the threshold of three times the Chinese GDP per capita ($38,253/QALY), the PSA indicated that tislelizumab had a 96.4% likelihood of being designated cost-effective. At the threshold of 1.5 times the Chinese GDP per capita ($19,126.5/QALY), the PSA indicated that tislelizumab had a probability of 48.7% of being designated cost-effective. Conclusion: Tislelizumab plus chemotherapy as the first treatment for patients with advanced or metastatic ESCC may be a cost-effective option compared to chemotherapy alone at 3 times Chinese GDP per capita.
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Registered trials
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.