Evidence map›Paper›PMID 31172321›Full record

ReviewCurrent psychiatry reports2019

Severity and Symptom Trajectory in Combat-Related PTSD: a Review of the Literature.

Michael L Able, David M Benedek

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
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  4. The association of multi-system conditions on mental health trajectories during naval deployment.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2025
    Article
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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

2 authors.

Michael L AbleF. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA. Michael.able@usuhs.edu.
David M BenedekF. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCombat-related posttraumatic stress disorder is increasingly recognized as having a variable course in returning veterans. Relatively few studies have identified predictors of illness duration or severity in this population. This review sought to synthesize the existing literature. RECENT

findingsThe existing literature remains limited and heterogeneous. However, several studies identified hyperarousal and pre-deployment dissociation as predictive of disease severity, and re-experiencing as predictive of suicidality in veterans with combat-related PTSD. No other pre-, peri-, or posttraumatic psychosocial predictors of individual symptoms or overall disease severity have been identified in replicated studies. Important clinical factors to explore in the assessment of PTSD in combat veterans may now include hyperarousal and a history of dissociation as these may predict disease severity, and re-experiencing as this has been identified as a significant predictor of suicidality. Further study into this topic may reveal biological or more sensitive psychosocial markers predicting illness severity and prognosis.

Indexed as

Posttraumatic Growth, PsychologicalCombat DisordersDissociative DisordersHumansPrognosisPsychiatric Status Rating ScalesSeverity of Illness IndexStress Disorders, Post-TraumaticVeteransWarfareCombat experiencePosttraumatic growthPosttraumatic stress disorderPsychosocial risk factorPTSDSymptom cluster

Identifiers

What OpenQuestion holds

Textmetadata
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.