ArticleInternational journal of technology assessment in health care2025
Predicting response to immunotherapy in lung cancer: an early HTA of predictive tests.
Article in International journal of technology assessment in health care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Review
- The Search for Predictive Biomarkers in Response to Immune Checkpoint Inhibitors and Associated Adverse Events.Journal of personalized medicine · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPredictive biomarkers can identify patients who are more likely to respond to immunotherapy, which can guide treatment decisions. The objective of this study was to assess the potential value of predictive biomarkers in advanced NSCLC patients to guide the development of cost-effective biomarkers in this field.
methodsA decision analytical model was constructed to compare theoretical new strategies with biomarkers to the current standard of care. The analysis was performed for three different patient groups based on PD-L1 status. Differences in health outcomes (QALYs) and costs were assessed between the current practice and these biomarker strategies.
resultsOmitting immunotherapy in NSCLC patients with a PD-L1 score < 1 percent or between 1 and 49 percent, and a negative biomarker test, could potentially reduce healthcare costs significantly a small loss in QALYs. In these groups, a biomarker test is potentially cost-effective as the incremental cost-effectiveness ratio largely exceeds a willingness-to-accept threshold of €80,000 saved per QALY lost. For patients with a PD-L1 score > 50 percent, a considerable QALY gain can potentially be realized by adding chemotherapy to patients with a negative biomarker test. However, this comes at a significant increase in costs and appears not to be cost-effective.
conclusionsIn general, predictive biomarkers seem to have the potential to increase the cost-effectiveness of treatment with immunotherapy in patients with advanced NSCLC. Optimal positioning of a biomarker depends on the weighing between health impact and costs.
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