Evidence map›Paper›PMID 26414884›Full record

Observational studyArthritis care & research2016

Determination of Pain Phenotypes in Knee Osteoarthritis: A Latent Class Analysis Using Data From the Osteoarthritis Initiative.

Andrew J Kittelson, Jennifer E Stevens-Lapsley, Sarah J Schmiege

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Arthritis care & research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02664896 (Determination of Pain Phenotypes in Older Adults With Knee Osteoarthritis), which is not on this map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT02664896 completednot on this map

Determination of Pain Phenotypes in Older Adults With Knee Osteoarthritis

TypeobservationalSponsorUniversity of Colorado, DenverRan2013 to 2016Enrolled187ConditionsOsteoarthritis, Knee, PainArmsKnee Osteoarthritis, Healthy Control
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Knee osteoarthritis: disease burden, available treatments, and emerging options.Therapeutic advances in musculoskeletal disease · 2024
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  19. Observational
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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

3 authors.

Andrew J KittelsonUniversity of Colorado Anschutz Medical Campus, Aurora.
Jennifer E Stevens-LapsleyVeterans Affairs Geriatric Research, Education and Clinical Center, Denver, Colorado.
Sarah J SchmiegeUniversity of Colorado Anschutz Medical Campus, Aurora.

Funding

University of Colorado Aging Training GrantT32AG000279 · NIA · UNIVERSITY OF COLORADO DENVER · PI Kerrie Moreau · 2001 to 2026
$10.1M
Determination of pain phenotypes in older adults with knee osteoarthritisR21AG044710 · NIA · UNIVERSITY OF COLORADO DENVER · PI STEVENS-LAPSLEY, JENNIFER E. · 2013 to 2014
$426k
NIA NIH HHS R21 AG044710NIA NIH HHS T32 AG000279
6 · The paper itself

Abstract

objectiveKnee osteoarthritis (OA) is a broadly applied diagnosis that may describe multiple subtypes of pain. The purpose of this study was to identify phenotypes of knee OA, using measures from the following pain-related domains: 1) knee OA pathology, 2) psychological distress, and 3) altered pain neurophysiology.

methodsData were selected from a total of 3,494 participants at visit 6 of the Osteoarthritis Initiative study. Latent class analysis was applied to the following variables: radiographic OA severity, quadriceps strength, body mass index, the Charlson Comorbidity Index (CCI), the Center for Epidemiologic Studies Depression Scale, the Coping Strategies Questionnaire-Catastrophizing subscale, number of bodily pain sites, and knee joint tenderness at 4 sites. The resulting classes were compared on the following demographic and clinical factors: age, sex, pain severity, disability, walking speed, and use of arthritis-related health care.

resultsA 4-class model was identified. Class 1 (4% of the study population) had higher CCI scores. Class 2 (24%) had higher knee joint sensitivity. Class 3 (10%) had greater psychological distress. Class 4 (62%) had lesser radiographic OA, little psychological involvement, greater strength, and less pain sensitivity. Additionally, class 1 was the oldest, on average. Class 4 was the youngest, had the lowest disability, and least pain. Class 3 had the worst disability and most pain.

conclusionFour distinct pain phenotypes of knee OA were identified. Psychological factors, comorbidity status, and joint sensitivity appear to be important in defining phenotypes of knee OA-related pain.

Indexed as

PhenotypeAgedCross-Sectional StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedOsteoarthritis, KneePainPain MeasurementStatistics as Topic

Identifiers

PMID26414884
PMCPMC5388442

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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.