ArticleOsteoarthritis and cartilage2024
Exploring different models of pain phenotypes and their association with pain worsening in people with early knee osteoarthritis: The MOST cohort study.
Article in Osteoarthritis and cartilage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Wearable sensor-based spinal motion assessments for identifying phenotypic clusters in chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Repeated heat pain threshold testing in pain-free individuals induces habituation and yields false-positive pre-post comparisons.Scientific reports · 2026Article
- Association of baseline MRI-defined structural features with knee symptom trajectories over nine years: Data from the osteoarthritis initiative (OAI).Osteoarthritis imaging · 2026Article
- Beyond the algorithms: Challenges in predicting knee osteoarthritis pain from a machine learning point of view.Osteoarthritis imaging · 2026Article
- The stability of pain phenotypes in people with hand osteoarthritis - results from the NOR-HAND study.Osteoarthritis and cartilage open · 2026Article
- Personalizing the Management of Knee Osteoarthritis.SMART-MD journal of precision medicine · 2026Article
- Experimental Pain Phenotypes in Individuals With Symptomatic Knee Osteoarthritis: A Neural Network-Based Clustering Approach.Pain research & management · 2026Article
- A retrospective predictive model for worsening knee osteoarthritis pain by integrating baseline gait biomechanics and wearable gait parameters.American journal of translational research · 2026Article
- Latent transition analysis of pain phenotypes in people at risk of knee osteoarthritis: The MOST cohort study.Osteoarthritis and cartilage · 2025Article
- Latent class analysis identifies distinct pain phenotypes in newly diagnosed systemic juvenile idiopathic arthritis.Arthritis research & therapy · 2025Article
- The importance of central sensitization for clinical trials of disease modifying osteoarthritis drugs (DMOADs).Osteoarthritis imaging · 2025Article
- Trajectories and Predictors of Weight-Bearing and Non-Weight-Bearing Pain in Knee Osteoarthritis: A 9-Year Follow-Up Study.Journal of pain research · 2024Article
- Editorial: Insight in musculoskeletal pain-2023.Frontiers in pain research (Lausanne, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
Abstract
objectiveTo determine i) pain phenotypes (PP) in people with early-stage knee osteoarthritis (EKOA); ii) the longitudinal association between the phenotypes and pain worsening at two years.
designWe studied participants with EKOA from the Multicenter Osteoarthritis Study defined as pain intensity ≤3/10, Kellgren and Lawrence grade ≤2, intermittent pain none to sometimes, and no constant pain. Two models of PP were explored. Model A included pressure pain thresholds, temporal summation, conditioned pain modulation, pain catastrophizing, sleep quality, depression, and widespread pain (WSP). In Model B, gait characteristics, quadriceps strength, comorbidities, and magnetic resonance imaging features were added to Model A. Latent Class Analysis was used to create phenotypes, and logistic regression was used to determine their association with pain worsening.
results750 individuals (60% females), mean age [standard deviation (SD)]: 60.3 (9.4) were included in Model A and 333 individuals (60% females), mean age (SD): 59.4 (8.1) in Model B. 3-class and 4-class solutions were chosen for Model A and Model B. In Model A, the most "severe" phenotype was dominated by psychosocial factors, WSP, and measures of nervous system sensitization. Similarly in Model B, the Model A phenotype plus gait variables, quadriceps strength, and comorbidities were dominant. Surprisingly, none of the phenotypes in either model had a significant relationship with pain worsening.
conclusionPhenotypes based upon various factors thought to be important for the pain experience were identified in those with EKOA but were not significantly related to pain worsening. These phenotypes require validation with clinically relevant endpoints.
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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.