Evidence map›Paper›PMID 24143062›Full record

ArticleJournal of applied biobehavioral research2013

A Transdiagnostic Approach to Pain and Emotion.

Steven J Linton

Abstract read
In one paragraph

Article in Journal of applied biobehavioral research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Transdiagnostic Cognitive Processes in Chronic Pain and Comorbid PTSD and Depression in Veterans.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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  19. Emotional arousal and valence in patients with fibromyalgia: a pilot study.Frontiers in pain research (Lausanne, Switzerland) · 2023
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  20. The combined effects of coping and pain interference on army readiness.Frontiers in pain research (Lausanne, Switzerland) · 2023
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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

1 author.

Steven J LintonCHAMP (Center for Health and Medical Psychology) Department of Law, Psychology, and Social Work, Örebro University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotion and pain are known to be intimately related, but treating co-occurring problems is still in its infancy mainly because we lack a clear theoretical understanding of the underlying mechanisms involved. This lack of understanding is problematic because treatment has proved challenging and co-occurring pain and emotional problems are associated with poor outcome, relapse, and greater sick absenteeism. Transdiagnostics has emerged as one way of focusing on the shared underlying mechanisms that drive comorbid problems. This approach has not been thoroughly examined for pain and emotion. Hence, the purpose of this review is to describe a transdiagnostic approach to pain and emotion and its clinical implications. To this end, the transdiagnostic approach is applied to pain and emotion in a narrative review of the literature. A focus on the function of emotion and pain relative to the context is underscored as a way to understand the relationship better. Avoidance, catastrophic worry, and thought suppression are put forward as three examples of potential transdiagnostic mechanisms that may underlie a co-occurring emotion and pain problem. The approach is readily translated to the clinic where assessment and treatment should focus on identifying transdiagnostic mechanisms. However, additional exploration is needed and therefore suggestions for future research are presented.

Identifiers

PMID24143062
PMCPMC3796860

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LicenceCC BY
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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.