Evidence map›Paper›PMID 32122334›Full record

ArticleBMC emergency medicine2020

Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study.

Willem F van der Mei, Anna C Barbano, Andrew Ratanatharathorn, Richard A Bryant, Douglas L Delahanty, Terri A deRoon-Cassini, Betty S Lai, Sarah R Lowe, Yutaka J Matsuoka, Miranda Olff and 7 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT00146900 (Prevention of Post Traumatic Stress Disorder by Early Treatment), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 18% 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.

NCT00146900 nacompletednot on this map

Prevention of Post Traumatic Stress Disorder by Early Treatment

TypeinterventionalSponsorHadassah Medical OrganizationRan2004 to 2008Enrolled298ConditionsPost-traumatic Stress DisorderArmsCognitive Behavioral Therapy, Cognitive Therapy, Escitalopram, Placebo
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 12 institutions in 5 countries.

Willem F van der MeiDepartment of Population Health, New York University Langone Health, 227 E 30th St, New York, NY, USA. willem.vandermei91@gmail.com.ORCID http://orcid.org/0000-0002-6396-3790
Anna C BarbanoDepartment of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.
Andrew RatanatharathornDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 W. 168th St, New York, NY, 10032, USA.
Richard A BryantSchool of Psychology, University of New South Wales, Sydney, NSW, 2052, Australia.
Douglas L DelahantyDepartment of Psychological Sciences, Kent State University, 144 Kent Hall, Kent, OH, 44242, USA.
Terri A deRoon-CassiniDepartment of Surgery, Medical College of Wisconsin, 9200 W. Wisconsin Avenue, Milwaukee, WI, 53226, USA.
Betty S LaiDepartment of Counselling, Developmental, and Educational Psychology, Lynch School of Education and Human Development, Boston College, Campion Hall Room 313, 140 Commonwealth Avenue, Chestnut Hill, MA, 02467, USA.
Sarah R LoweDepartment of Psychology, Montclair State University, 1 Normal Avenue, Montclair, NJ, 07043, USA.
Yutaka J MatsuokaDivision of Health Care Research, Center for Public Health Sciences, National Cancer Center Japan, 5-1-1 Tsukiji, Chou-ku, Tokyo, 104-0045, Japan.
Miranda OlffDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Wei QiDepartment of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.
Ulrich SchnyderDepartment of Psychiatry and Psychotherapy, University Hospital Zurich, PO Box 1931, Lenggstrasse 31, 8032, Zürich, Switzerland.
Soraya SeedatDepartment of Psychiatry, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA.
Karestan C KoenenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Kresge 505, 677 Huntington Avenue, Kresge Building, Boston, MA, 02115, USA.
Arieh Y ShalevDepartment of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.
International Consortium to Predict PTSD
New York University · USHarvard University · USAmsterdam UMC Location University of Amsterdam · NLBoston College · USColumbia University · USKent State University · USMedical College of Wisconsin · USMontclair State University · USNYU Langone Health · USStellenbosch University · ZAUniversity Hospital of Zurich · CHUNSW Sydney · AU

Funding

Identifying Risk Factors for PTSD by Pooled Analysis of Current Prospective StudiR01MH101227 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI KESSLER, RONALD C, KOENEN, KARESTAN C · 2014 to 2017
$2.7M
NIMH NIH HHS R01 MH101227
6 · The paper itself

Abstract

backgroundPrevious work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator.

methodsWe used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities.

resultsTwenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p < 0.001). Incremental PDEQ scores produced a reliable estimator of CAPS ≥ 40 likelihood. An individual risk estimation tool incorporating PDEQ and other significant risk indicators is provided.

conclusionPeritraumatic reactions, measured here by the PDEQ, can reliably quantify the likelihood of acute PTSD symptoms predictive of chronic PTSD and requiring clinical attention. Using them as a screener in a stepwise chronic PTSD prediction strategy may reduce the burden of later CAPS-based assessments. Other peritraumatic metrics may perform similarly and their use requires similar validation.

trial registrationJerusalem Trauma Outreach and Prevention Study (J-TOPS): NCT00146900.

Indexed as

AdultAge FactorsEmergency Service, HospitalFemaleHumansMaleMass ScreeningMiddle AgedProof of Concept StudyReproducibility of ResultsROC CurveSeverity of Illness IndexSex FactorsStress Disorders, Post-TraumaticSurveys and QuestionnairesTrauma Severity IndicesEmergency care admissionsMega-analysisPeritraumatic symptomsPost-traumatic stress disorderSequential prediction

Identifiers

PMID32122334
PMCPMC7053081
OpenAlexW3011090572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.