ArticleStatistics in medicine2025
Network Meta-Analysis With Individual Participant-Level Data of Time-to-Event Outcomes Using Cox Regression.
Article in Statistics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05267873 (Combining Data Sources to Identify Effect Moderation for Personalized Mental Health), which is not on this map. Cited by 4 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.
Combining Data Sources to Identify Effect Moderation for Personalized Mental Health
Who cites it
4 citing papers in PubMed.
- Accelerated biological aging and underlying epigenetic modification mediated the association between obesity and asthma.Clinical epigenetics · 2026Article
- Body mass index mediates the association between neutrophil-to-lymphocyte ratio and impaired fasting glucose: evidence from a five-year follow-up study.Scientific reports · 2026Article
- Insulin resistance-related indices, genetic risk, and the risk of cardiovascular disease in individuals with preclinical or clinical obesity: a large prospective cohort study in the UK biobank.Cardiovascular diabetology · 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.
Funding
Abstract
The accessibility of individual participant-level data (IPD) enhances the evaluation of moderation effects of patient covariates. It facilitates the provision of accurate estimation of intervention effects and confidence intervals by incorporating covariate correlations across multiple clinical trials. With a time-to-event outcome, Cox regression can be applied for network meta-analysis (NMA) using IPD. However, there lacks comprehensive reviews and comparisons of the specifications and assumptions of these Cox models and their impact on the interpretation of hazard ratios, effect moderation, and trial heterogeneity in IPD-NMA. In this paper, we examine various Cox models for IPD-NMA and compare different approaches to modeling trial, treatment, and covariate effects. We employ multiple graphical tools and statistical tests to assess proportional hazard assumptions and discuss their implications. Additionally, we explore the application of extended Cox models when the proportional hazard assumption is violated. Practical guidance on interpreting and reporting NMA results is provided. A simulation study is conducted to compare the performance of different models. We illustrate the methods to conduct IPD-NMA through a real data example.
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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.