ArticleFrontiers in immunology2024
First-line treatments for extensive-stage small-cell lung cancer with immune checkpoint inhibitors plus chemotherapy: a China-based cost-effectiveness analysis.
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 13 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
13 citing papers in PubMed.
- Real-world serplulimab plus chemotherapy for extensive-stage small cell lung cancer in china: an external validation of ASTRUM-005 trial.BMC medicine · 2026Observational
- Cost-Effectiveness of Tarlatamab in the Second-Line Treatment of Refractory Small Cell Lung Cancer From a US Perspective.Clinical Medicine Insights. Oncology · 2026Article
- MOG-Ab-associated optic neuritis with concurrent GFAP-Ab positivity following tislelizumab-based treatment: a case report.Frontiers in pharmacology · 2026Article
- Cost-effectiveness analysis of mepolizumab among patients with severe asthma from the Chinese societal perspective.PloS one · 2026Article
- Cost-effectiveness of benmelstobart-anlotinib-chemotherapy in extensive-stage small-cell lung cancer: A comparative analysis across United States and Chinese healthcare systems.International journal of clinical pharmacy · 2025Article
- Barriers to Immune Checkpoint Inhibitor Access for Patients With Cancer in Southeast Asia: Challenges and Policy Implications.JCO global oncology · 2025Article
- Biomarkers and ImmuneScores in lung cancer: predictive insights for immunotherapy and combination treatment strategies.Biological procedures online · 2025Review
- Immune checkpoint inhibitors for extensive-stage small-cell lung cancer: a network meta-analysis and cost-effectiveness analysis.Frontiers in immunology · 2025Article
- Toripalimab plus chemotherapy as first-line treatment in extensive-stage small cell lung cancer: a health economic evaluation in China.Frontiers in public health · 2025Article
- Cost-effectiveness analysis of first-line tislelizumab plus chemotherapy for extensive-stage small cell lung cancer from the perspective of the healthcare system in China.Frontiers in public health · 2025Article
- Cost-effectiveness analysis of Toripalimab regimen for extensive-stage small-cell lung cancer in China and America.Frontiers in immunology · 2025Article
- Cost-effectiveness analysis of lurbinectedin plus atezolizumab as first-line treatment for extensive-stage small-cell lung cancer.Frontiers in immunology · 2025Article
- Benmelstobart Plus Anlotinib Is Unlikely to Be Cost-Effective for Advanced Renal Cell Carcinoma: An Integrated Disease Burden and Cost-Effectiveness Analysis.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To determine the cost-effectiveness of imported immune checkpoint inhibitors (ICIs) such as atezolizumab and durvalumab, and domestic ICIs like serplulimab and adebrelimab, in combination with chemotherapy for extensive-stage small cell lung cancer (ES-SCLC) in China. Methods: Using a 21-day cycle length and a 20-year time horizon, a Markov model was established to compare the clinical and economic outcomes of five first-line ICIs plus chemotherapy versus chemotherapy alone, as well as against each other, from the perspective of the Chinese healthcare system. Transition probabilities were estimated by combining the results of the CAPSTONE-1 trial and a published network meta-analysis. Cost and health state utilities were collected from multiple sources. Both cost and effectiveness outcomes were discounted at a rate of 5% annually. The primary model output was incremental cost-effectiveness ratios (ICERs). A series of sensitivity analyses were preformed to assess the robustness of the model. Results: In the base-case analysis, the addition of first-line ICIs to chemotherapy resulted in the ICERs ranged from $80,425.31/QALY to $812,415.46/QALY, which exceeded the willing-to-pay threshold set for the model. When comparing these first-line immunochemotherapy strategies, serplulimab plus chemotherapy had the highest QALYs of 1.51286 and the second lowest costs of $60,519.52, making it is the most cost-effective strategy. Our subgroup-level analysis yielded results that are consistent with the base-case analysis. The sensitivity analysis results confirmed the validity and reliability of the model. Conclusion: In China, the combination of fist-line ICIs plus chemotherapy were not considered cost-effective when compared to chemotherapy alone. However, when these fist-line immunochemotherapy strategies were compared with each other, first-line serplulimab plus chemotherapy consistently demonstrated superiority in terms of cost-effectiveness. Reducing the cost of serplulimab per 4.5 mg/kg would be a realistic step towards making first-line serplulimab plus chemotherapy more accessible and cost-effective.
Indexed as
Identifiers
What OpenQuestion holds
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.