Evidence map›Paper›PMID 35862085›Full record

ArticlePsychological trauma : theory, research, practice and policy2023

A practical guide to random-effects Bayesian meta-analyses with application to the psychological trauma and suicide literature.

Daniel J Reis, Alexander M Kaizer, Adam R Kinney, Nazanin H Bahraini, Ryan Holliday, Jeri E Forster, Lisa A Brenner

Abstract read
In one paragraph

Article in Psychological trauma : theory, research, practice and policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 6 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

14 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Comparative evaluation of left atrial appendage occlusion and oral anticoagulation: a Bayesian meta-analysis of randomized controlled trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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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

7 authors.

Daniel J ReisRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.ORCID 0000-0001-7806-3819
Alexander M KaizerDepartment of Biostatistics and Informatics.ORCID 0000-0003-2334-5514
Adam R KinneyRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.ORCID 0000-0002-8852-7477
Nazanin H BahrainiRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.
Ryan HollidayRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.
Jeri E ForsterRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.ORCID 0000-0002-7955-9127
Lisa A BrennerRocky Mountain Mental Illness Research, Education, and Clinical Center for Suicide Prevention.

Funding

Statistical Methods and Adaptive Trial Designs for Cardiovascular Outcomes with Information SharingK01HL151754 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI KAIZER, ALEXANDER MARK · 2021 to 2025
$742k
National Institutes of Health; National Heart, Lung, and Blood InstituteNHLBI NIH HHS K01 HL151754Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC) for Suicide PreventionUS Department of Veterans Affairs; Office of Academic Affiliations; Advanced Fellowship Program in Mental Illness Research and Treatment
6 · The paper itself

Abstract

objectiveBayesian meta-analyses offer several advantages over traditional approaches, including improved accuracy when using a small number of studies and enhanced estimation of heterogeneity. However, psychological trauma research has yet to see widespread adoption of these statistical methods, potentially due to researchers' unfamiliarity with the processes involved. The purpose of this article is to provide a practical tutorial for conducting random-effects Bayesian meta-analyses.

methodExplanations and recommendations are provided for completing the primary steps of a Bayesian meta-analysis, ranging from model specification to interpretation of results. Furthermore, an illustrative example is used to demonstrate the application of each step. In the example, results are synthesized from six studies included in a previously published systematic review (Holliday et al., 2020), with a combined sample size of 21,244,109, examining the association between posttraumatic stress disorder and risk of suicide in veterans and military personnel.

resultsThe posterior distributions for each model estimate, such as the pooled effect size and the heterogeneity parameter, are discussed and interpreted with regard to the probability of increased suicide risk.

conclusionsOur hope is that this tutorial, along with the provided data and code, facilitate the use of Bayesian meta-analyses in the study of psychological trauma. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

Psychological TraumaSuicideBayes TheoremHumansMeta-Analysis as TopicMilitary PersonnelSystematic Reviews as TopicVeterans

Identifiers

PMID35862085
PMCPMC10021079

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Registered trials

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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.