Evidence map›Paper›PMID 26673453›Full record

ArticleEuropean journal of psychotraumatology2015

Evaluating predictive screening for children's post-injury mental health: New data and a replication.

Nancy Kassam-Adams, Meghan L Marsac, J Felipe García-España, Flaura Winston

Open access · goldAbstract read
In one paragraph

Article in European journal of psychotraumatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Choosing the right instruments for psychotrauma related research.European journal of psychotraumatology · 2015
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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

4 authors at 2 institutions in 1 country.

Nancy Kassam-AdamsCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Meghan L MarsacCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
J Felipe García-EspañaChildren's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA.
Flaura WinstonCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecommended approaches for secondary prevention of posttrauma mental health difficulties in children require empirically sound predictive screening to determine which children require more intensive monitoring or targeted intervention. Although there are several promising screening tools for injured children, none has emerged as the gold standard, and little replication data are available regarding their performance.

objectiveTo evaluate a predictive screening protocol for risk of later posttraumatic stress (PTS) and depression outcomes and address a crucial lack of replication studies by examining performance of two previously published screening tools (Screening Tool for Early Predictors of PTSD [STEPP] and Child Trauma Screening Questionnaire [CTSQ]).

methodThe study enrolled 290 children hospitalized after acute injury. A three-part screening protocol, including acute PTS and depression symptoms and other empirically derived risk factors, was administered in hospital as part of a stepped care study. PTS and depression symptoms and health-related quality of life (HRQoL) were assessed 6 months post-injury.

Indexed as

depressioninjuryPTSDPTSD predictionscreening toolsstepped care

Identifiers

PMID26673453
PMCPMC4696458
OpenAlexW2210596683

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.