Evidence map›Paper›PMID 30425562›Full record

ArticleJournal of pain research2018

Genetic and psychological factors interact to predict physical impairment phenotypes following exercise-induced shoulder injury.

Paul A Borsa, Jeffrey J Parr, Margaret R Wallace, Samuel S Wu, Yunfeng Dai, Roger B Fillingim, Steven Z George

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02620579 (Biopsychosocial Influence on Shoulder Pain), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 19% 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.

NCT02620579 phase2completednot on this map

Biopsychosocial Influence on Shoulder Pain: a Randomized, Pre-clinical Trial

TypeinterventionalSponsorDuke UniversityRan2016 to 2021Enrolled264ConditionsShoulder PainArmsPropranolol LA (60 mg), Placebo, Shoulder Anatomy Education, Pain Processing Education
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. [Genetics in sports-muscle injuries].Orthopadie (Heidelberg, Germany) · 2023
    Review
  4. Article
  5. Article
  6. Article
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 at 3 institutions in 1 country.

Paul A BorsaDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA, pborsa@hhp.ufl.edu.
Jeffrey J ParrSchool of Health Professions, University of Southern Mississippi, Hattiesburg, MS, USA.
Margaret R WallaceDepartment of Molecular Genetics and Microbiology, Center for Epigenetics, UF Genetics Institute, University of Florida, Gainesville, FL, USA.
Samuel S WuDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Yunfeng DaiDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Roger B FillingimDepartment of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, USA.
Steven Z GeorgeDuke Clinical Research Institute and Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
University of Florida · USDuke University · USUniversity of Southern Mississippi · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
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
NCATS NIH HHS UL1 TR001427NIAMS NIH HHS R01 AR055899NINDS NIH HHS T32 NS045551
6 · The paper itself

Abstract

backgroundWe investigated interactions between genetic and psychological factors in predicting shoulder impairment phenotypes. We hypothesized that pro-inflammatory genes would display stronger relationships compared with pain-related genes when combined with psychological factors for predicting phenotypic changes. SUBJECTS AND

methodsAltogether, 190 participants completed a 5-day experimental protocol. An experimental shoulder injury model was used to induce physical impairment, and a priori selected genetic (pain-related, pro-inflammatory) and psychological (anxiety, depressive symptoms, pain catastrophizing, fear of pain, kinesiophobia) factors were included as predictors of interest. Impairment phenotypes were injury-induced deficits in range of motion (ROM) and strength. After controlling for age, sex, and race, genetic and psychological predictors were entered separately as main effects and interaction terms in regression models for each phenotype.

resultsStrong statistical evidence was provided for interactions between: 1) IL-1β (rs1143634) and fear of pain for predicting loss of shoulder flexion and abduction, 2) IL-1β (rs1143634) and anxiety for predicting loss of flexion, and 3) IL-1β (rs1143634) and depressive symptoms for predicting loss of internal rotation. In addition, the interaction between OPRM1 (rs1799971) and fear of pain as well as COMT (rs4818) and pain catastrophizing provided strong statistical evidence for predicting strength loss.

conclusionPro-inflammatory gene variants contributed more to physical impairment with two single nucleotide polymorphisms (SNPs; IL-1β [rs1143634] and TNF/LTA [rs2229094]) interacting with psychological factors to predict six shoulder impairment phenotypes. In comparison, two pain-related gene SNPs (OPRM1 [rs1799971] and COMT [rs4818]) interacted with psychological factors to predict four shoulder impairment phenotypes (abduction: 5-day average loss; strength loss: 5-day average, peak, and relative loss).

Indexed as

fear of painIL-1βinflammationpain catastrophizingsingle nucleotide polymorphisms

Identifiers

PMID30425562
PMCPMC6205136
OpenAlexW2896075249

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.