Evidence map›Paper›PMID 30983846›Full record

ArticleJournal of applied biobehavioral research2017

Pain catastrophizing may moderate the association between pain and secondary hyperalgesia.

Alexander J Pressman, B Lee Peterlin, David Andrew Tompkins, Rachel E Salas, Luis F Buenaver, Jennifer A Haythornthwaite, Claudia M Campbell

Abstract read
In one paragraph

Article in Journal of applied biobehavioral research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  3. Review
  4. Observational
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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

7 authors.

Alexander J PressmanDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
B Lee PeterlinDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
David Andrew TompkinsDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Rachel E SalasDepartment of Neurology/Sleep, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Luis F BuenaverDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jennifer A HaythornthwaiteDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Claudia M CampbellDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Optimizing Pain Treatment while Reducing Abuse Liability in Opioid DependenceK23DA029609 · NIDA · JOHNS HOPKINS UNIVERSITY · PI TOMPKINS, DAVID ANDREW · 2012 to 2016
$929k
Predicting Post-Operative Pain and Analgesic Use: The Role of Endogenous OpioidsK23NS070933 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE · 2010 to 2014
$880k
Ethnic differences in effects of opioid blockade and behavioral analgesia on painF32NS063624 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE · 2008 to 2009
$95k
NIDA NIH HHS K23 DA029609NINDS NIH HHS F32 NS063624NINDS NIH HHS K23 NS070933
6 · The paper itself

Abstract

Catastrophizing, a persistent negative mental set characterized by helplessness, rumination, and magnification of pain sensations, has a potent effect on pain report and clinical outcomes. Previous studies have documented an association between cognitive factors and central sensitization. The current analysis sought to test the potential modulating effect of pain catastrophizing on the association between capsaicin pain and the region of secondary hyperalgesia. Thirty-eight healthy individuals (50% women, mean age = 25.7,

Identifiers

PMID30983846
PMCPMC6461383

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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.