ArticleCochrane evidence synthesis and methods2026
Exploring Heterogeneity in Meta-Analysis Using Trial-Level Characteristics: A Tutorial.
Article in Cochrane evidence synthesis and methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Introduction to Trial-Level Subgroup Analysis: A Tutorial.Cochrane evidence synthesis and methods · 2026Article
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
This tutorial describes how to explore across-trial heterogeneity in meta-analysis using trial-level characteristics. It describes how to carry out a subgroup analysis for a trial-level characteristic with more than two categories and provides approaches for analysing continuous trial-level characteristics. The tutorial introduces meta-regression, outlines its intended applications, and explains how to interpret meta-regression results. Common pitfalls when undertaking trial-level subgroup analysis and meta-regression are also discussed. A complementary micro-learning module is provided to support additional learning of these concepts.
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.