Evidence map›Paper›PMID 33367906›Full record

ArticlePain medicine (Malden, Mass.)2021

Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis.

Andrew J Kittelson, Sarah J Schmiege, Katrina Maluf, Steven Z George, Jennifer E Stevens-Lapsley

Abstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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.

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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Knee osteoarthritis: disease burden, available treatments, and emerging options.Therapeutic advances in musculoskeletal disease · 2024
    Review
  12. Observational
  13. Article
  14. 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

5 authors.

Andrew J KittelsonSchool of Physical Therapy and Rehabilitation Science, University of Montana, Missoula, Montana, USA.
Sarah J SchmiegeDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA.
Katrina MalufPhysical Therapy Program, School of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Steven Z GeorgeDepartment of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Jennifer E Stevens-LapsleyPhysical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, Colorado, USA.

Funding

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 AG044710
6 · The paper itself

Abstract

objectiveTo identify clinical phenotypes of knee osteoarthritis (OA) using measures from the following domains: 1) multimorbidity; 2) psychological distress; 3) pain sensitivity; and 4) knee impairment or pathology.

designData were collected from 152 people with knee OA and from 31 pain-free individuals. In participants with knee OA, latent profile analysis (LPA) was applied to the following measures: normalized knee extensor strength, Functional Comorbidity Index (FCI), Pain Catastrophizing Scale (PCS), and local (knee) pressure pain threshold. Comparisons were performed between empirically derived phenotypes from the LPA and healthy older adults on these measures. Comparisons were also made between pheonotypes on pain intensity, functional measures, use of health care, and history of knee injury.

resultsLPA resulted in a four-group solution. Compared with all other groups, group 1 (9% of the study population) had higher FCI scores. Group 2 (63%) had elevated pain sensitivity and quadriceps weakness relative to group 4 and healthy older adults. Group 3 (11%) had higher PCS scores than all other groups. Group 4 (17%) had greater leg strength, except relative to healthy older adults, and reduced pain sensitivity relative to all groups. Groups 1 and 3 demonstrated higher pain and worse function than other groups, and group 4 had higher rates of knee injury.

conclusionFour phenotypes of knee OA were identified using psychological factors, comorbidity status, pain sensitivity, and leg strength. Follow-up analyses supported the replicability of this phenotype structure, but future research is needed to determine its usefulness in knee OA care.

Indexed as

Osteoarthritis, KneeAgedHumansKnee JointPainPain MeasurementPhenotype

Identifiers

PMID33367906
PMCPMC7971470

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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.