Evidence map›Paper›PMID 25288685›Full record

ArticleEvidence-based mental health2014

A hands-on practical tutorial on performing meta-analysis with Stata.

Anna Chaimani, Dimitris Mavridis, Georgia Salanti

Open access · bronzeAbstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Evidence-based mental health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 44 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 44 pooled it
5.2field-weighted citation impact, top 5% of its field
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

76 citing papers in PubMed, 44 syntheses or guidelines pooled it, 120 citations in OpenAlex.

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  19. Meta-analysis using Python: a hands-on tutorial.BMC medical research methodology · 2022
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16 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

3 authors at 1 institution in 1 country.

Anna ChaimaniDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Dimitris MavridisDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece Department of Primary Education, University of Ioannina, Ioannina, Greece.
Georgia SalantiDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
University of Ioannina · GR

Funding

European Research Council 260559
6 · The paper itself

Abstract

Statistical synthesis of research findings via meta-analysis is widely used to assess the relative effectiveness of competing interventions. A series of three papers aimed at familiarising mental health scientists with the key statistical concepts and problems in meta-analysis was recently published in this journal. One paper focused on the selection and interpretation of the appropriate model to synthesise results (fixed effect or random effects model) whereas the other two papers focused on two major threats that compromise the validity of meta-analysis results, namely publication bias and missing outcome data. In this paper we provide guidance on how to undertake meta-analysis using Stata, one of the most commonly used software packages for meta-analysis. We address the three topics covered in the previous issues of the journal, focusing on their implementation in Stata using a working example from mental health research.

Indexed as

Computer-Assisted InstructionMeta-Analysis as TopicSoftwareData Interpretation, StatisticalHumansPublication BiasSample SizeSchizophrenia

Identifiers

PMID25288685
PMCPMC13404023
OpenAlexW2129183432

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.