ArticleArthritis research & therapy2017
Development of a clinical prediction algorithm for knee osteoarthritis structural progression in a cohort study: value of adding measurement of subchondral bone density.
Article in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022Pooled it
- Pooled it
- Study on Bone Mineral Density Around the Knee in Postmenopausal Women with Osteoarthritis and Osteoporosis.International journal of women's health · 2025Article
- Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review.Life (Basel, Switzerland) · 2023Review
- Prediction Models for Knee Osteoarthritis: Review of Current Models and Future Directions.The archives of bone and joint surgery · 2023Review
- Predicting total knee arthroplasty from ultrasonography using machine learning.Osteoarthritis and cartilage open · 2022Article
- Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty.Scientific reports · 2022Article
- Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts.Arthritis research & therapy · 2022Article
- Trajectories of Structural Disease Progression in Knee Osteoarthritis.Arthritis care & research · 2021Observational
- Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial.NPJ digital medicine · 2021Article
- Cyst formation in the subchondral bone following cartilage repair.Clinical and translational medicine · 2020Review
- Risk scoring for time to end-stage knee osteoarthritis: data from the Osteoarthritis Initiative.Osteoarthritis and cartilage · 2020Article
- Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.Osteoarthritis and cartilage · 2020Article
- A pilot study of peripheral blood DNA methylation models as predictors of knee osteoarthritis radiographic progression: data from the Osteoarthritis Initiative (OAI).Scientific reports · 2019Article
- Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature.Diagnostic and prognostic research · 2019Review
- Predictive Modeling of 30-Day Emergency Hospital Transport of Patients Using a Personal Emergency Response System: Prognostic Retrospective Study.JMIR medical informatics · 2018Article
- Comparison between kinetic and kinetic-kinematic driven knee joint finite element models.Scientific reports · 2018Article
- Association of subchondral bone texture on magnetic resonance imaging with radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative Bone Ancillary Study.European radiology · 2018Article
- Evaluating the Impact of a Web-Based Risk Assessment System (CareSage) and Tailored Interventions on Health Care Utilization: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundRisk prediction algorithms increase understanding of which patients are at greatest risk of a harmful outcome. Our goal was to create a clinically useful prediction algorithm for structural progression of knee osteoarthritis (OA), using medial joint space loss as a proxy; and to quantify the benefit of including periarticular bone mineral density (BMD) in the algorithm.
methodsParticipants were from the Osteoarthritis Initiative (OAI) Progression Cohort, with X-ray readings of medial joint space at 36- and 48-month visits, and a 30- or 36-month medial-to-lateral tibial BMD ratio (M:L BMD ratio) value. Loss of medial joint space was the outcome and clinically available factors associated with OA progression were employed in the base prediction algorithm, with M:L BMD ratio added to an enhanced prediction algorithm. The benefit of adding M:L BMD ratio was evaluated by change in area under the ROC curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).
resultsFive hundred thirty-three participants were included; 51 (14%) had medial joint space loss; 47% were female; the mean (SD) age was 64.6 (9.2) years and BMI was 29.6 (4.8) kg/m
conclusionsThis clinical prediction algorithm predicts structural progression in individuals with OA using only clinically available predictors supplemented by the M:L BMD ratio, a biomarker that could be made available at clinical sites.
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