ArticleGeneral hospital psychiatry
Development and validation of a brief screener for posttraumatic stress disorder risk in emergency medical settings.
Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Endocannabinoids Mediate Racial/Ethnic Discrimination Prediction of Posttraumatic Stress Disorder Symptoms Moderated by Resting-State Functional Connectivity in Black and African American Individuals.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Accurate and efficient data-driven psychiatric assessment using machine learning.BMC medical informatics and decision making · 2026Article
- Advancements in smart healthcare in emergency trauma care: from intelligent triage to prognostic prediction.Frontiers in public health · 2026Review
- Predictors of acute stress disorder following a military maritime accident.Frontiers in psychiatry · 2025Article
- Disentangling sex differences in PTSD risk factors.Nature. Mental health · 2024Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
objectivePredicting risk of posttraumatic stress disorder (PTSD) in the acute care setting is challenging given the pace and acute care demands in the emergency department (ED) and the infeasibility of using time-consuming assessments. Currently, no accurate brief screening for long-term PTSD risk is routinely used in the ED. One instrument widely used in the ED is the 27-item Immediate Stress Reaction Checklist (ISRC). The aim of this study was to develop a short screener using a machine learning approach and to investigate whether accurate PTSD prediction in the ED can be achieved with substantially fewer items than the IRSC.
methodThis prospective longitudinal cohort study examined the development and validation of a brief screening instrument in two independent samples, a model development sample (N = 253) and an external validation sample (N = 93). We used a feature selection algorithm to identify a minimal subset of features of the ISRC and tested this subset in a predictive model to investigate if we can accurately predict long-term PTSD outcomes.
resultsWe were able to identify a reduced subset of 5 highly predictive features of the ISRC in the model development sample (AUC = 0.80), and we were able to validate those findings in the external validation sample (AUC = 0.84) to discriminate non-remitting vs. resilient trajectories.
conclusionThis study developed and validated a brief 5-item screener in the ED setting, which may help to improve the diagnostic process of PTSD in the acute care setting and help ED clinicians plan follow-up care when patients are still in contact with the healthcare system. This could reduce the burden on patients and decrease the risk of chronic PTSD.
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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.