SynthesisJAMA network open2018
A Comparison of Response Patterns for Progression-Free Survival and Overall Survival Following Treatment for Cancer With PD-1 Inhibitors: A Meta-analysis of Correlation and Differences in Effect Sizes.
Synthesis in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 10 of them syntheses that pooled 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.
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
40 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Correlation between surrogate endpoints and overall survival in unresectable hepatocellular carcinoma patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Disparity in survival benefits of pembrolizumab between Asian and non-Asian patients with advanced cancers: A systematic review and meta-regression analysis.Cancer medicine · 2023Pooled it
- Estimation of time to progression and post progression survival using joint modeling of summary level OS and PFS data with an ordinary differential equation model.Journal of pharmacokinetics and pharmacodynamics · 2022Pooled it
- Inhibitors of PD-1 in Non-Small Cell Lung Cancer: A Meta-Analysis of Clinical and Molecular Features.Frontiers in immunology · 2022Pooled it
- Impact of Advantage in Tumor Response on the Correlation Between Progression-Free Survival and Overall Survival: Meta-Analysis of Clinical Trials in Patients with Advanced Non-Small Cell Lung Cancer.Pharmaceutical medicine · 2021Pooled it
- Validation of Progression-Free Survival Rate at 6 Months and Objective Response for Estimating Overall Survival in Immune Checkpoint Inhibitor Trials: A Systematic Review and Meta-analysis.JAMA network open · 2020Pooled it
- Efficacy and safety of anticancer drug combinations: a meta-analysis of randomized trials with a focus on immunotherapeutics and gene-targeted compounds.Oncoimmunology · 2020Pooled it
- Assessing the Justification, Funding, Success, and Survival Outcomes of Randomized Noninferiority Trials of Cancer Drugs: A Systematic Review and Pooled Analysis.JAMA network open · 2019Pooled it
- Evaluating Progression-Free Survival as a Surrogate Outcome for Health-Related Quality of Life in Oncology: A Systematic Review and Quantitative Analysis.JAMA internal medicine · 2018Pooled it
- Comparative Effectiveness and Safety of Monoclonal Antibodies (Bevacizumab, Cetuximab, and Panitumumab) in Combination with Chemotherapy for Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2018Pooled it
- The quality of reporting general safety parameters and immune-related adverse events in clinical trials of FDA-approved immune checkpoint inhibitors.BMC cancer · 2020Trial
- CT-based deep foundation model for predicting immune checkpoint inhibitor-induced pneumonitis risk in lung cancer.Journal for immunotherapy of cancer · 2026Article
- Evaluating the potential of candidate surrogate endpoints for overall survival in treatment-naive metastatic melanoma treated with anti-PD-1-based regimens with or without anti-CTLA-4 therapy.Journal for immunotherapy of cancer · 2026Article
- Trial design and end points in hepatocellular carcinoma: an EASL-AASLD-ILCA consensus statement.Nature reviews. Clinical oncology · 2026Article
- GITR and GITR-L RNA Expression Levels Correlate with Better Survival and Response to Immunotherapy.Molecular cancer therapeutics · 2026Article
- Late-phase strategies to overcome limitations of PD-1/PD-L1 therapy: a clinical development trajectory through 2030.Frontiers in oncology · 2026Review
- Using Dose-Escalation and -Expansion Cohort Study as Pivotal Trial for Targeted Anticancer Drug Approval.JCO precision oncology · 2025Review
- Heterogeneity and efficacy of immunotherapy in multiple cancer: insights from a meta-analysis.Biological procedures online · 2025Article
- The clinical journey of belantamab mafodotin in relapsed or refractory multiple myeloma: lessons in drug development.Blood cancer journal · 2025Review
- Frequently asked questions on surrogate endpoints in oncology-opportunities, pitfalls, and the way forward.EClinicalMedicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Based on efficacy results from pivotal randomized clinical trials, PD-1 (programmed cell death 1) inhibitors, such as nivolumab and pembrolizumab, have been approved to treat various cancers. Response patterns with varying effects on progression-free survival (PFS) and overall survival (OS) have been reported for these drugs. Objective: To compare 2 outcomes for PD-1 inhibitors: the correlation between PFS and OS and the differences in treatment effect size between PFS and OS. Data Sources: A systematic search of PubMed, Google Scholar, the Cochrane Library, Web of Science, and conference abstracts for randomized clinical trials of nivolumab and pembrolizumab published in English. Study Selection: Randomized clinical trials of nivolumab or pembrolizumab in adults with solid-tissue cancers with a nonimmunotherapy control. Data Extraction and Synthesis: Two reviewers screened the studies for selection and extracted data on medians and hazard ratios (HRs) for PFS and OS. A pooled meta-analysis was conducted. Main Outcomes and Measures: Across all trials, correlation coefficients between median PFS and median OS and between PFS benefit and OS benefit as well as the HRs of PFS and OS were assessed. The difference in treatment effect sizes between PFS and OS was assessed using a ratio of HRs (rHR). Subgroup analyses were conducted to observe differences based on drug, tumor type, and timing of therapy. Results: Ten randomized clinical trials that included 4653 patients and met inclusion criteria were identified, as were 2 others (comprising 764 patients) in which nivolumab or pembrolizumab was used following treatment with ipilimumab. The correlations between median PFS and median OS (r = 0.676; R2 = 0.457; P = .09) and the correlations between the change in PFS and the change in OS (r = 0.474; R2 = 0.225; P = .28) were not significant. However, the correlation between HRs of PFS and OS was significant (r = 0.637; R2 = 0.406; P = .048). Using random-effects meta-analysis, the protective effects of treatment were greater for OS than for PFS (pooled rHR, 1.18; 95% CI, 1.06-1.31; P = .002). There was no statistical evidence for heterogeneity across the studies (Q = 6.24; P = .72; I2 = 0%). Subgroup analyses showed some differences in the treatment effect sizes based on drug type, tumor type, and line of therapy. Conclusions and Relevance: There was no significant correlation between OS and PFS in terms of medians and gains in medians, but their HRs were significantly correlated. The protective effects of treatment were greater for OS than for PFS. Traditional Response Evaluation Criteria in Solid Tumors-based PFS cannot capture the benefit of PD-1 inhibitors in patients with solid tumors, and OS should remain the gold standard.
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