Evidence map›Paper›PMID 25599310›Full record

ArticlePain2015

Biopsychosocial influence on shoulder pain: risk subgroups translated across preclinical and clinical prospective cohorts.

Steven Z George, Margaret R Wallace, Samuel S Wu, Michael W Moser, Thomas W Wright, Kevin W Farmer, Paul A Borsa, Jeffrey J Parr, Warren H Greenfield, Yunfeng Dai and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Pain, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03141853 (Equine-assisted Therapy for Adults and Older Adults With Arthritis), which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 11% of its field
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.

NCT03141853 nacompletednot on this mapstarted 2017, after this paper: background citation

Equine-assisted Therapy for Adults and Older Adults With Arthritis: A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of Missouri, Kansas CityRan2017 to 2017Enrolled21ConditionsArthritisArmsEquine-assisted Therapy, Arthritis Exercise Education
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  13. The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2018
    Review
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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

12 authors at 4 institutions in 1 country.

Steven Z GeorgeDepartment of Physical Therapy, University of Florida, Gainesville, FL, USA Department of Molecular Genetics and Microbiology and UF Genetics Institute, University of Florida, Gainesville, FL, USA Departments of Biostatistics Orthopaedics and Rehabilitation, and Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, USA.
Margaret R Wallace
Samuel S Wu
Michael W Moser
Thomas W Wright
Kevin W Farmer
Paul A Borsa
Jeffrey J Parr
Warren H Greenfield
Yunfeng Dai
Hua Li
Roger B Fillingim
University of Florida · USPain and Rehabilitation Medicine · USCancer Research And Biostatistics · USUniversity of Pittsburgh · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
Biopsychosocial Influence on Shoulder PainR01AR055899 · NIAMS · UNIVERSITY OF FLORIDA · PI GEORGE, STEVEN Z · 2008 to 2020
$5.5M
Integrative and translational training in pain researchT32NS045551 · NINDS · UNIVERSITY OF FLORIDA · PI YEZIERSKI, ROBERT P. · 2005 to 2014
$1.8M
NIAMS NIH HHS AR055899NIAMS NIH HHS R01 AR055899NIA NIH HHS P30 AG028740NINDS NIH HHS NS045551NINDS NIH HHS T32 NS045551
6 · The paper itself

Abstract

Tailored treatment based on individual risk factors is an area with promise to improve options for pain relief. Musculoskeletal pain has a biopsychosocial nature, and multiple factors should be considered when determining risk for chronic pain. This study investigated whether subgroups comprised genetic and psychological factors predicted outcomes in preclinical and clinical models of shoulder pain. Classification and regression tree analysis was performed for an exercise-induced shoulder injury cohort (n = 190) to identify high-risk subgroups, and a surgical pain cohort (n = 150) was used for risk validation. Questionnaires for fear of pain and pain catastrophizing were administered before injury and preoperatively. DNA collected from saliva was genotyped for a priori selected genes involved with pain modulation (COMT and AVPR1A) and inflammation (IL1B and TNF/LTA). Recovery was operationalized as a brief pain inventory rating of 0/10 for current pain intensity and <2/10 for worst pain intensity. Follow-up for the preclinical cohort was in daily increments, whereas follow-up for the clinical cohort was at 3, 6, and 12 months postoperatively. Risk subgroups comprised the COMT high pain sensitivity variant and either pain catastrophizing or fear of pain were predictive of heightened shoulder pain responses in the preclinical model. Further analysis in the clinical model identified the COMT high pain sensitivity variant and pain catastrophizing subgroup as the better predictor. Future studies will determine whether these findings can be replicated in other anatomical regions and whether personalized medicine strategies can be developed for this risk subgroup.

Indexed as

AdolescentAdultAgedAged, 80 and overCatastrophizationCohort StudiesFearFemaleFollow-Up StudiesHumansMaleMiddle AgedPain MeasurementProspective StudiesRisk FactorsShoulder Pain

Identifiers

PMID25599310
PMCPMC4801181
OpenAlexW2055790432

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.