Evidence map›Paper›PMID 30102064›Full record

ArticleJournal of abnormal psychology2018

Examination of posttraumatic stress disorder symptom networks using clinician-rated and patient-rated data.

Samantha J Moshier, Michelle J Bovin, Natalie G Gay, Blair E Wisco, Karen S Mitchell, Daniel J Lee, Denise M Sloan, Frank W Weathers, Paula P Schnurr, Terence M Keane and 1 more

Abstract read
In one paragraph

Article in Journal of abnormal psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. A network approach to posttraumatic stress disorder: Comparing interview and self-report networks.Psychological trauma : theory, research, practice and policy · 2024
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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

11 authors.

Samantha J MoshierResearch Service, VA Boston Healthcare System.
Michelle J BovinBehavioral Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.ORCID 0000-0002-3296-4360
Natalie G GayDepartment of Psychology, University of North Carolina at Greensboro.
Blair E WiscoDepartment of Psychology, University of North Carolina at Greensboro.
Karen S MitchellWomen's Health Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.
Daniel J LeeBehavioral Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.
Denise M SloanBehavioral Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.
Frank W WeathersDepartment of Psychology, Auburn University.
Paula P SchnurrExecutive Division, National Center for PTSD.
Terence M KeaneBehavioral Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.
Brian P MarxBehavioral Sciences Division, Department of Veterans Affairs Boston National Center for Posttraumatic Stress Disorder.

Funding

Postdoctoral Training Program in Stress and TraumaT32MH019836 · NIMH · TUFTS UNIVERSITY BOSTON · PI DENISE M. SLOAN · 1996 to 2026
$4.7M
Group CBT for Chronic PTSD: RCT with VeteransI01CX000467 · VA · VA BOSTON HEALTH CARE SYSTEM · PI SLOAN, DENISE M., UNGER, WILLIAM STEPHAN · 2012 to 2016
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CSRD VA I01 CX000467NIMH NIH HHS T32 MH019836VA
6 · The paper itself

Abstract

Network theory, which conceptualizes psychiatric disorders as networks of interacting symptoms, may provide a useful framework for understanding psychopathology. However, questions have arisen regarding the stability and generalizability of network analytic methods, with some researchers arguing that symptom networks have limited replicability. The aim of this study was to evaluate assessment modality as one possible source of instability in the estimation of posttraumatic stress disorder (PTSD) symptom networks. We estimated two cross-sectional DSM-5 PTSD symptom networks in 378 U.S. veterans: one using data from a clinician-rated assessment instrument (Clinician-Administered PTSD Scale for DSM-5; CAPS-5) and one using data from a self-rated questionnaire (the PTSD Checklist for DSM-5; PCL-5). We calculated centrality indices, conducted community structure analyses, and compared the strength and structure of the networks. The CAPS-5 and PCL-5 symptom networks were highly similar, challenging the notion that network methods produce unreliable results due to estimations consisting primarily of measurement error. Furthermore, each network contained distinct symptom communities that only partially overlapped with the DSM-5 PTSD symptom clusters. These findings may provide guidance for future revisions of the DSM, suggest hypotheses about how PTSD symptoms interact, and inform recent debate about replicability of psychopathology symptom networks. (PsycINFO Database Record

Indexed as

Diagnostic and Statistical Manual of Mental DisordersDiagnostic Self EvaluationHumansMaleMiddle AgedPsychological TheoryPsychometricsStress Disorders, Post-TraumaticVeterans

Identifiers

PMID30102064
PMCPMC7059999

What OpenQuestion holds

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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.