Evidence map›Paper›PMID 34246885›Full record

ArticleJournal of anxiety disorders2021

Fear of pain as a predictor of concurrent and downstream PTSD symptoms.

Anna C Barbano, Matthew T Tull, Nicole M Christ, Hong Xie, Brian Kaminski, Xin Wang

Abstract read
In one paragraph

Article in Journal of anxiety disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Anna C BarbanoDepartment of Psychology, University of Toledo, United States. Electronic address: anna.barbano@rockets.utoledo.edu.
Matthew T TullDepartment of Psychology, University of Toledo, United States.
Nicole M ChristDepartment of Psychology, University of Toledo, United States.
Hong XieDepartment of Neurosciences, University of Toledo, United States.
Brian KaminskiDepartment of Emergency Medicine, ProMedica Hospital, United States.
Xin WangDepartment of Neurosciences, University of Toledo, United States.

Funding

Study of early brain alterations that predict development of chronic PTSDR01MH110483 · NIMH · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI WANG, XIN · 2016 to 2021
$3.8M
NIMH NIH HHS R01 MH110483
6 · The paper itself

Abstract

backgroundPain anxiety has been associated with more severe posttraumatic stress disorder (PTSD) symptoms. However, the unique role of individual domains of pain anxiety has yet to be explored in the prediction of PTSD severity. This study examined whether specific pain anxiety domains (i.e., cognitive anxiety, escape/avoidance, fear of pain, and physiological anxiety) predict both concurrent and downstream PTSD symptoms above and beyond other PTSD risk factors.

methodParticipants were 63 survivors of traumatic events with moderate to high baseline pain treated in the emergency department and assessed for PTSD symptoms and pain anxiety at 3- and 12-months.

resultsThree-month pain anxiety domains of fear of pain and physiological anxiety (inversely related) significantly predicted concurrent 3-month PTSD symptoms above and beyond other established PTSD risk factors (i.e., sex, age, pain, and trauma type). However, only 3-month fear of pain significantly predicted 12-month PTSD symptoms.

conclusionsFindings highlight the relevance of specific pain anxiety domains in concurrent and future PTSD symptoms and suggest the importance of evaluating pain anxiety among patients with PTSD. Interventions focused on increasing willingness to experience and tolerate fear of pain may help mitigate this risk, thereby improving outcomes for individuals with acute PTSD symptoms.

Indexed as

Stress Disorders, Post-TraumaticAnxietyAnxiety DisordersFearHumansPainAnxietyPainPosttraumatic stress disorderPrediction

Identifiers

PMID34246885
PMCPMC8364873

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Registered trials

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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.