Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

Pain medicine (Malden, Mass.) - 18 Mar 2021

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

Abstract excerpt

OBJECTIVE: To 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. DESIGN: Data 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:...

Topics

Join the communities discussing this publication.

Aged
Knee Joint
Osteoarthritis, Knee
Pain
Pain Measurement

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 33367906
DOI: 10.1093/pm/pnaa398
PMCID: PMC7971470

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis.PMID 33367906Read ↗

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

A biopsychosocial approach to phenotyping people with knee osteoarthritis awaiting total knee arthroplasty: A secondary cohort analysis.Semantic proximity Read ↗

Use of IMMPACT Recommendations to Explore Pain Phenotypes in People with Knee Osteoarthritis.Semantic proximity Read ↗

Exploring different models of pain phenotypes and their association with pain worsening in people with early knee osteoarthritis: The MOST cohort study.Semantic proximity Read ↗

Future directions in painful knee osteoarthritis: harnessing complexity in a heterogeneous population.Semantic proximity Read ↗

Knee osteoarthritis phenotypes and their relevance for outcomes: a systematic review.Semantic proximity Read ↗

Latent transition analysis of pain phenotypes in people at risk of knee osteoarthritis: The MOST cohort study.Semantic proximity Read ↗

Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis.Semantic proximity Read ↗

Classification of patients with knee osteoarthritis in clinical phenotypes: Data from the osteoarthritis initiative.Semantic proximity Read ↗

What General and Pain-associated Psychological Distress Phenotypes Exist Among Patients with Hip and Knee Osteoarthritis?Semantic proximity Read ↗

Novel approach towards musculoskeletal phenotypes.Semantic proximity Read ↗

Phenotypes of osteoarthritis-related knee pain and their transition over time: data from the osteoarthritis initiative.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.