Evidence map›Paper›PMID 27107155›Full record

Trial reportPsychiatry research. Neuroimaging2016

Neurophysiological mechanisms in acceptance and commitment therapy in opioid-addicted patients with chronic pain.

Rachel F Smallwood, Jennifer S Potter, Donald A Robin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Psychiatry research. Neuroimaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  15. Bringing Neuroscience to the Bedside.Focus (American Psychiatric Publishing) · 2019
    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

3 authors.

Rachel F SmallwoodUniversity of Texas Health Science Center San Antonio, Research Imaging Institute, 8403 Floyd Curl Drive, San Antonio, TX 78229, USA; University of Texas Health Science Center San Antonio, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA. Electronic address: rachel.smallwood@nih.gov.
Jennifer S PotterUniversity of Texas Health Science Center San Antonio, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
Donald A RobinUniversity of Texas Health Science Center San Antonio, Research Imaging Institute, 8403 Floyd Curl Drive, San Antonio, TX 78229, USA; University of Texas Health Science Center San Antonio, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.

Funding

Treatment of Opioid Dependence and Chronic PainK23DA022297 · NIDA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI POTTER, JENNIFER SHARPE · 2008 to 2012
$878k
NIDA NIH HHS K23 DA022297
6 · The paper itself

Abstract

Acceptance and Commitment Therapy (ACT) has been effectively utilized to treat both chronic pain and substance use disorder independently. Given these results and the vital need to treat the comorbidity of the two disorders, a pilot ACT treatment was implemented in individuals with comorbid chronic pain and opioid addiction. This pilot study supported using neurophysiology to characterize treatment effects and revealed that, following ACT, participants with this comorbidity exhibited reductions in brain activation due to painful stimulus and in connectivity at rest.

Indexed as

Acceptance and Commitment TherapyAdultAnalgesics, OpioidBehavior, AddictiveBrainChronic PainComorbidityFemaleHumansMaleMiddle AgedOpioid-Related DisordersPilot ProjectsAnalgesics, OpioidAcceptance and Commitment TherapyChronic painOpioid addiction

Identifiers

PMID27107155
PMCPMC4842257

What OpenQuestion holds

Textmetadata
LicenceTDM
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.