Evidence map›Paper›PMID 32675582›Full record

ArticleThe Clinical journal of pain2020

Plasma Concentrations of Select Inflammatory Cytokines Predicts Pain Intensity 48 Hours Post-Shoulder Muscle Injury.

William C Hedderson, Paul A Borsa, Roger B Fillingim, Stephen A Coombes, Chris J Hass, Steven Z George

Open access · greenAbstract read
In one paragraph

Article in The Clinical journal of pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  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

6 authors at 3 institutions in 1 country.

William C HeddersonDepartment of Exercise and Sport Science, University of Central Arkansas, Conway, AR.
Paul A BorsaDepartments of Applied Physiology and Kinesiology.
Roger B FillingimCommunity Dentistry and Behavioral Science, University of Florida, Gainesville, FL.
Stephen A CoombesDepartments of Applied Physiology and Kinesiology.
Chris J HassDepartments of Applied Physiology and Kinesiology.
Steven Z GeorgeDepartment of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, Durham, NC.
Duke University · USUniversity of Central Arkansas · USUniversity of Florida · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Stephen D Anton · 2007 to 2026
$22.8M
Biopsychosocial Influence on Shoulder PainR01AR055899 · NIAMS · UNIVERSITY OF FLORIDA · PI GEORGE, STEVEN Z · 2008 to 2020
$5.5M
NIAMS NIH HHS R01 AR055899NIA NIH HHS P30 AG028740
6 · The paper itself

Abstract

objectivesThe relationship between elevated inflammatory cytokine levels and peak pain intensity following acute musculoskeletal injury has not been fully elucidated in high risk subgroups. Identifying the role that these cytokines have on pain responses may help with developing tailored therapeutic approaches.

methodsData were collected from 54 participants who were vulnerable to a robust pain response and delayed recovery following musculoskeletal injury. Participants completed baseline active and resting pain measurements and a blood draw before an exercised induced shoulder muscle injury. Participants returned at 24 and 48 hours postinjury for follow-up pain measurements and blood draws. Blood plasma was analyzed for interleukin (IL)-1β, IL-6, IL-8, IL-10, and tumor necrosis factor α. Pearson bivariate correlations were performed between cytokines and pain measurements to identify candidate variables for stepwise multiple linear regression predicting pain intensity reports.

resultsPearson bivariate correlation identified 13/45 correlations between inflammatory cytokines and resting pain intensity and 9/45 between inflammatory cytokines and active pain (P<0.05, r≥0.3 or r≤-0.3). This led to 5 stepwise multiple linear regression models, of which 4 met the statistical criterion (P<0.0167); including IL-10 baseline plasma concentrations predicting active pain (r=0.19) and resting pain (r=0.15) intensity 48 hours postinjury. IL-6 and IL-10 plasma concentrations at 48 hours were respectively associated with active and resting pain at 48 hours. DISCUSSION: These findings suggest that elevated concentrations of inflammatory cytokines, specifically IL-10 (at baseline and 48 h) and IL-6 (at 48 h), may play a role in heightened pain responses following exercise-induced muscle injury.

Indexed as

ShoulderCytokinesHumansMuscle, SkeletalPainTumor Necrosis Factor-alphaCytokinesTumor Necrosis Factor-alpha

Identifiers

PMID32675582
PMCPMC7484373
OpenAlexW3043583742

What Socratic 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 Socratic graph.