SynthesisBehavior research methods2020
Multiple moderator meta-analysis using the R-package Meta-CART.
Synthesis in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 8 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
13 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Enhancing Weight Loss Programs: A Meta-Analysis of Financial Incentives and Behavior Change Techniques.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Pooled it
- Timing and dose of acupuncture as adjuncts to assisted reproduction: a meta-analysis and model-based network meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Identifying behaviour change techniques in school-based childhood obesity prevention interventions: a secondary analysis of a systematic review.BMC public health · 2025Pooled it
- Peripheral Biomarkers of Anorexia Nervosa: A Meta-Analysis.Nutrients · 2024Pooled it
- Effect of exercise for depression: systematic review and network meta-analysis of randomised controlled trials.BMJ (Clinical research ed.) · 2024Pooled it
- Impaired learning, memory, and extinction in posttraumatic stress disorder: translational meta-analysis of clinical and preclinical studies.Translational psychiatry · 2023Pooled it
- Pooled it
- Comparative Efficacy of Exercise Interventions for Anxiety Disorders: A Bayesian Network Meta-Analysis.Psychology research and behavior management · 2026Review
- The Effectiveness of Professional Development in the Self-Efficacy of In-Service Teachers in STEM Education: A Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2025Review
- Protocol: Machine learning for selecting moderators in meta-analysis: A systematic review of methods and their applications, and an evaluation using data on tutoring interventions.Campbell systematic reviews · 2024Article
- Article
- Molecular prevalence ofOne health (Amsterdam, Netherlands) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In meta-analysis, heterogeneity often exists between studies. Knowledge about study features (i.e., moderators) that can explain the heterogeneity in effect sizes can be useful for researchers to assess the effectiveness of existing interventions and design new potentially effective interventions. When there are multiple moderators, they may amplify or attenuate each other's effect on treatment effectiveness. However, in most meta-analysis studies, interaction effects are neglected due to the lack of appropriate methods. The method meta-CART was recently proposed to identify interactions between multiple moderators. The analysis result is a tree model in which the studies are partitioned into more homogeneous subgroups by combinations of moderators. This paper describes the R-package metacart, which provides user-friendly functions to conduct meta-CART analyses in R. This package can fit both fixed- and random-effects meta-CART, and can handle dichotomous, categorical, ordinal and continuous moderators. In addition, a new look ahead procedure is presented. The application of the package is illustrated step-by-step using diverse examples.
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.