Evidence map›Paper›PMID 23639066›Full record

ArticleDisability and rehabilitation2014

Composite measures of multi-joint symptoms, but not of radiographic osteoarthritis, are associated with functional outcomes: the Johnston County Osteoarthritis Project.

Amanda E Nelson, Emily Elstad, Robert F DeVellis, Todd A Schwartz, Yvonne M Golightly, Jordan B Renner, Philip G Conaghan, Virginia B Kraus, Joanne M Jordan

Abstract read
In one paragraph

Article in Disability and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Amanda E NelsonThurston Arthritis Research Center .
Emily Elstad
Robert F DeVellis
Todd A Schwartz
Yvonne M Golightly
Jordan B Renner
Philip G Conaghan
Virginia B Kraus
Joanne M Jordan
Department of Health · ZADuke Medical Center · USUniversity of Leeds · GBUniversity of North Carolina at Chapel Hill · US

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC · 2006 to 2026
$24.6M
UNC Clinical and Translational Science AwardUL1TR000083 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2012 to 2013
$11.6M
Thermally-Triggered Intra-articular Drug Delivery for OAP01AR050245 · NIAMS · DUKE UNIVERSITY · PI SETTON, LORI A. · 2003 to 2012
$11.5M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
Women's knee motion patterns in functional activitiesP60AR030701 · NIAMS · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI LEE, GRETA M · 1986 to 2001
$1.9M
Variations in Hip Morphology: Frequency and Impact on Osteoarthritis OutcomesK23AR061406 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NELSON, AMANDA E · 2011 to 2015
$668k
NCATS NIH HHS KL2 TR001109NCATS NIH HHS UL1 TR000083NCATS NIH HHS UL1TR000083NCRR NIH HHS UL1 RR025747NIAMS NIH HHS 1L30 AR056604NIAMS NIH HHS 5-P60-AR30701NIAMS NIH HHS K23 AR061406NIAMS NIH HHS L30 AR056604NIAMS NIH HHS P01 AR050245NIAMS NIH HHS P60 AR030701NIA NIH HHS 5-P30-AG028716NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

purposeTo determine associations between multiple joint symptoms and radiographic osteoarthritis (rOA) and functional outcomes.

methodComplete cross-sectional data for multi-joint symptoms and radiographs, Health Assessment Questionnaire (HAQ) scores, and gait speed were available for 1307 Johnston County Osteoarthritis Project participants (34% men, 32% African American, mean age 66 years). Factor analysis of symptom scores and radiographic grades for the lumbosacral spine, bilateral hands, knees, and hips provided composite scores. Regression models were used to determine associations between composite scores, HAQ, and gait speed, adjusting for age, body mass index, gender, and race.

resultsFive rOA factors were identified: (1) IP/CMC factor (carpometacarpal [CMC] and all interphalangeal [IP] joints); (2) MCP factor (metacarpophalangeal joints 2-5); (3) Knee factor (tibiofemoral and patellofemoral joints); (4) Spine factor (L1/2 to L5/S1); and (5) Symptom factor. After adjustment, only the Symptom composite was significantly associated with HAQ and gait speed; a 1-standard deviation increase in Symptom score was associated with 9 times higher odds of having poorer function on the HAQ (odds ratio 9.32, 95% confidence interval [CI] 6.80, 12.77), and a clinically significant decline in gait speed (0.06 m/s, 95% CI -0.07, -0.05).

conclusionsA novel Symptom composite score was associated with poorer functional outcomes. IMPLICATIONS FOR REHABILITATION: Osteoarthritis (OA) commonly affects multiple joints and is the most common form of arthritis. Symptomatic assessments, which can be easily executed by rehabilitation practitioners, are more closely related to self-reported and performance-based functional status than are less accessible and more costly radiographs. Symptomatic assessments are likely to be more informative for understanding, treating, and potentially preventing functional limitations than radiographic assessments.

Indexed as

AgedAged, 80 and overFactor Analysis, StatisticalFemaleGaitHumansMaleMiddle AgedOsteoarthritisRadiographySurveys and QuestionnairesTreatment Outcome

Identifiers

PMID23639066
PMCPMC3735714
OpenAlexW2036819196

What OpenQuestion 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 OpenQuestion graph.