Evidence map›Paper›PMID 23479191›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2013

Meta-analysis and subgroups.

Michael Borenstein, Julian P T Higgins

Abstract readComparative StudyMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 325 papers, 121 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
325citing papers in PubMed, 121 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

325 citing papers in PubMed, 121 syntheses or guidelines pooled it.

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  6. Minimizing blood sampling in preterm infants.The Cochrane database of systematic reviews · 2026
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  9. Psychosocial correlates of condom use among Black adolescents in the United States: A meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
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265 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael BorensteinBiostat, Inc, 14 North Dean Street, Englewood, NJ 07631, USA. biostat100@gmail.com
Julian P T Higgins

Funding

Power Analysis for Meta AnalysisR44DA022799 · NIDA · BIOSTATISTICAL PROGRAMMING ASSOC, INC. · PI BORENSTEIN, MICHAEL · 2007 to 2008
$1.1M
Power Analysis for Cluster Randomized TrialsR44DA025366 · NIDA · BIOSTATISTICAL PROGRAMMING ASSOC, INC. · PI BORENSTEIN, MICHAEL · 2008 to 2010
$1.0M
Forest plots for meta analysisR44DA019280 · NIDA · BIOSTATISTICAL PROGRAMMING ASSOC, INC. · PI BORENSTEIN, MICHAEL · 2005 to 2007
$891k
Medical Research Council MC_U105285807Medical Research Council U105285807NIDA NIH HHS DA019280NIDA NIH HHS DA022799NIDA NIH HHS DA025366
6 · The paper itself

Abstract

Subgroup analysis is the process of comparing a treatment effect for two or more variants of an intervention-to ask, for example, if an intervention's impact is affected by the setting (school versus community), by the delivery agent (outside facilitator versus regular classroom teacher), by the quality of delivery, or if the long-term effect differs from the short-term effect. While large-scale studies often employ subgroup analyses, these analyses cannot generally be performed for small-scale studies, since these typically include a homogeneous population and only one variant of the intervention. This limitation can be bypassed by using meta-analysis. Meta-analysis allows the researcher to compare the treatment effect in different subgroups, even if these subgroups appear in separate studies. We discuss several statistical issues related to this procedure, including the selection of a statistical model and statistical power for the comparison. To illustrate these points, we use the example of a meta-analysis of obesity prevention.

Indexed as

Data Interpretation, StatisticalHumansModels, TheoreticalObesity, Morbid

Identifiers

PMID23479191

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.