ArticleThe Journal of rheumatology2023
Precision Medicine-Based Machine Learning Analyses to Explore Optimal Exercise Therapies for Individuals With Knee Osteoarthritis: Random Forest-Informed Tree-Based Learning.
Article in The Journal of rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02312713 (Physical Therapy Versus Internet-Based Exercise Training for Patients With Knee Osteoarthritis), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled 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.
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.
Physical Therapy Versus Internet-Based Exercise Training for Patients With Knee Osteoarthritis
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Digital technology integration in home-based exercise: a systematic review of research evolution, applications, and impact mechanisms.BMC public health · 2025Pooled it
- Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research.Journal of the American Geriatrics Society · 2023Pooled it
- Artificial Intelligence Empowers Physical Therapy for Older Adults: A Perspective.Health science reports · 2026Article
- Reducing the burden of osteoarthritis in Australia: A 2024-2025 research priority-setting study.Osteoarthritis and cartilage open · 2026Article
- Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study.BMC health services research · 2025Article
- Exploration of heterogeneity of treatment effects across exercise-based interventions for knee osteoarthritis.Osteoarthritis and cartilage open · 2025Article
- Deconstructing the "types" of osteoarthritis.Osteoarthritis imaging · 2025Article
- Non-Pharmacological Pain Management for Osteoarthritis: Review Update.Current rheumatology reports · 2025Review
- Diagnosis of Chest Pneumonia with X-ray Images Based on Graph Reasoning.Diagnostics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveWe applied a precision medicine-based machine learning approach to discover underlying patient characteristics associated with differential improvement in knee osteoarthritis symptoms following standard physical therapy (PT), internet-based exercise training (IBET), and a usual care/wait list control condition.
methodsParticipants (n = 303) were from the Physical Therapy vs Internet-Based Training for Patients with Knee Osteoarthritis trial. The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score at 12-month follow-up. Random forest-informed tree-based learning was applied to identify patient characteristics that were critical to improving outcomes, and patients with those features were grouped.
resultsAge, BMI, and Brief Fear of Movement (BFOM) score, all at baseline, were identified as characteristics that effectively divided participants, creating 6 subgroups. Assigning treatments according to these models, compared to assigning a single best treatment to all patients, resulted in greater improvements of the average WOMAC at 12 months (
conclusionThese results suggest that easily assessed patient characteristics including age, fear of movement, and BMI could be used to guide patients toward either home-based exercise or PT, though additional studies are needed to confirm these findings. (ClinicalTrials.gov: NCT02312713).
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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.