Evidence map›Paper›PMID 38516228›Full record

ArticleTherapeutic advances in musculoskeletal disease2024

Dispositional traits help explain individual differences in relationships between a radiographic knee osteoarthritis measure, pain, and physical function.

Angela M Mickle, Roland Staud, Cynthia S Garvan, Daniel A Kusko, Nicola Sambuco, Brittany R Addison, Kevin R Vincent, David T Redden, Burel R Goodin, Roger B Fillingim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

11 authors at 4 institutions in 1 country.

Angela M MickleDepartment of Physical Medicine & Rehabilitation, University of Florida, Campus Box 100242, 2004 Mowry Road, Gainesville, FL 32610, USA.ORCID https://orcid.org/0000-0001-9175-5342
Roland StaudDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Cynthia S GarvanDepartment of Anesthesiology, University of Florida, Gainesville, FL, USA.
Daniel A KuskoDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Nicola SambucoDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
Brittany R AddisonDepartment of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, USA.
Kevin R VincentDepartment of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, USA.
David T ReddenDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Burel R GoodinDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Roger B FillingimDepartment of Community Dentistry, University of Florida, Gainesville, FL, USA.
Kimberly T SibilleDepartment of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of Alabama at Birmingham · USUniversity of Florida Health · USWashington University in St. Louis · US

Funding

Ethnic Differences in Responses to Painful StimuliR37AG033906 · NIA · UNIVERSITY OF FLORIDA · PI FILLINGIM, ROGER B · 2014 to 2023
$12.9M
Health Disparities in Osteoarthritis: Biological Aging, Stress, and Pain - Modulation by Resilience FactorsR01AG054370 · NIA · UNIVERSITY OF FLORIDA · PI SIBILLE, KIMBERLY THERESA · 2016 to 2020
$3.4M
MyAPS: Development and Validation of an AI Platform for Generating Emotional PicturesR01MH112558 · NIMH · UNIVERSITY OF FLORIDA · PI MINGZHOU DING, Ruogu Fang · 2017 to 2026
$2.5M
NIA NIH HHS R01 AG054370NIA NIH HHS R37 AG033906NIMH NIH HHS R01 MH112558
6 · The paper itself

Abstract

Background: The concordance between radiograph-derived Kellgren-Lawrence (KL) scores for knee osteoarthritis (KOA) and experimental and clinical pain and KOA-related physical function is conflicting. Objectives: We investigate whether the inclusion of dispositional traits reduces variability between KOA radiographic findings, experimental pain, clinical pain, and function in individuals with knee pain. Design: This study is a cross-sectional, secondary analysis of data collected from the UPLOAD-II study. Methods: Adults aged 45-85 years with and without knee pain were enrolled. Data collected included sociodemographics, knee radiographs, experimental pain, clinical pain and function, and trait affect. Vulnerable and protective dispositional traits were classified from combined positive and negative trait affect measures. KL scores were determined from the knee radiographs. Unadjusted and adjusted (age, sex, comorbidities, and body mass index) regression analyses were completed with SAS version 9.4 (Cary, NC, USA). Results: The study included 218 individuals with a mean age of 58 years, 63.6% women, and 48.2% non-Hispanic black adults. Dispositional traits were associated with the experimental pain measures. No association between radiographic KOA and experimental pain was observed. In a combined and adjusted analysis, dispositional traits were predictive of knee punctate pain temporal summation ( Conclusion: Consideration of dispositional traits reduces the variability between radiographic KOA and pain and function. Non-pathological and associated pain-related psychological factors and dispositional traits might serve as parsimonious proxy tools to improve clinical assessments. Registration: N/A.

Indexed as

dispositional traitsfunctionKellgren–Lawrence scoresknee osteoarthritispain

Identifiers

PMID38516228
PMCPMC10956141
OpenAlexW4393048564

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.