Evidence map›Paper›PMID 30660721›Full record

Trial reportOsteoarthritis and cartilage2019

Model-based pain and function outcome trajectory types for patients undergoing knee arthroplasty: a secondary analysis from a randomized clinical trial.

L Dumenci, R A Perera, F J Keefe, D C Ang, J Slover, M P Jensen, D L Riddle

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Osteoarthritis and cartilage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
11.0field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 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

7 authors at 6 institutions in 1 country.

L DumenciDepartment of Epidemiology and Biostatistics, 1301 Cecil B. Moore, Ave., Ritter Annex, Room 939, Temple University, Philadelphia, PA, USA. Electronic address: ldumenci@temple.edu.
R A PereraDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
F J KeefePain Prevention and Treatment Research, Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
D C AngDepartment of Medicine, Section of Rheumatology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
J SloverDepartment of Orthopaedic Surgery, New York University Longone Medical Center, New York, NY, USA.
M P JensenDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
D L RiddleDepartments of Physical Therapy, Orthopaedic Surgery and Rheumatology, Virginia Commonwealth University, Richmond, VA, USA.
Virginia Commonwealth University · USDuke University · USNYU Langone Health · USTemple University · USUniversity of Washington · USWake Forest University · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Center for Clinical and Translational ResearchUL1TR000058 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2012 to 2015
$12.5M
Knee Arthroplasity Pain Coping Training (KAST Pain): A Randomized TrialUM1AR062800 · NIAMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI RIDDLE, DANIEL L · 2012 to 2016
$5.2M
NCATS NIH HHS UL1 TR000058NCATS NIH HHS UL1 TR002649NIAMS NIH HHS UM1 AR062800
6 · The paper itself

Abstract

objectiveKnee arthroplasty (KA) is an effective surgical procedure. However, clinical studies suggest that a considerable number of patients continue to experience substantial pain and functional loss following surgical recovery. We aimed to estimate pain and function outcome trajectory types for persons undergoing KA, and to determine the relationship between pain and function trajectory types, and pre-surgery predictors of trajectory types.

designParticipants were 384 patients who took part in the KA Skills Training randomized clinical trial. Pain and function were assessed at 2-week pre- and 2-, 6-, and 12-months post-surgery. Piecewise latent class growth models were used to estimate pain and function trajectories. Pre-surgery variables were used to predict trajectory types.

resultsThere was strong evidence for two trajectory types, labeled as good and poor, for both Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Pain and Function scores. Model estimated rates of the poor trajectory type were 18% for pain and function. Dumenci's latent kappa between pain and function trajectory types was 0.71 (95% CI: 0.61-0.80). Pain catastrophizing and number of painful body regions were significant predictors of poor pain and function outcomes. Outcome-specific predictors included low income for poor pain and baseline pain and younger age for poor function.

conclusionsAmong adults undergoing KA, approximately one-fifth continue to have persistent pain, poor function, or both. Although the poor pain and function trajectory types tend to go together within persons, a significant number experience either poor pain or function but not both, suggesting heterogeneity among persons who do not fully benefit from KA.

Indexed as

AgedAge FactorsArthroplasty, Replacement, KneeFemaleFollow-Up StudiesHumansMaleMiddle AgedModels, StatisticalOsteoarthritis, KneePainPain MeasurementPostoperative PeriodPrognosisRecovery of FunctionRisk FactorsFunctionKnee arthroplastyPainPiecewise growth mixture model

Identifiers

PMID30660721
PMCPMC6536318
OpenAlexW2909893094

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.