ArticleNature communications2024
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Molecular endotypes in musculoskeletal disorders: a systematic review.BMC musculoskeletal disorders · 2026Pooled it
- UACR as a clinical predictor of incident osteoarthritis: prospective evidence from the UK Biobank.Clinical rheumatology · 2026Article
- Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Molecular bioindicators for assessing environmental impacts of emerging contaminants.Fundamental research · 2026Review
- Smartphone-Based Physical Performance and Multidimensional Determinants of Self-Reported Knee Pain in Community-Dwelling Older Adults: Cross-Sectional Machine Learning and Network Analysis Study.JMIR mHealth and uHealth · 2026Article
- Global, regional and national burden of osteoarthritis in women of childbearing age from 1990 to 2021, with projected trends up to 2045.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Iron homeostasis landscape informs patient survival and neoadjuvant chemotherapy response in cancer.BioData mining · 2026Article
- Advances in heterogeneity and classification of osteoarthritis.Bone research · 2026Review
- Analysis of serum biomarker profiles in DDH Hip osteoarthritis versus primary hip osteoarthritis: a prospective observational study in a recent arthroplasty cohort.Journal of orthopaedic surgery and research · 2026Observational
- The complexity of pain in osteoarthritis.Nature reviews. Rheumatology · 2026Review
- Extracellular Vesicles in Osteoarthritis: From Pathogenic Mediators to Engineered Therapeutics in a Precision Medicine Roadmap.Journal of extracellular biology · 2026Review
- Development of an interpretable machine learning model to predict short-term bleeding risk in patients receiving dual antithrombotic therapy following cardiac surgery.International journal of clinical pharmacy · 2026Article
- Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Social isolation and 59 common health conditions: insights from observational and genetics analyses.BMC medicine · 2026Article
- Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states.Communications medicine · 2026Article
- Targeting mitochondrial quality control in osteoarthritis with GrpE-like 1-loaded synovial mesenchymal stromal/stem cell small extracellular vesicles.World journal of stem cells · 2026Article
- AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease.Nature communications · 2026Article
- Mechanistically guided residual learning for battery state monitoring throughout life.Nature communications · 2026Article
- Multi-omics and molecular testing: A new insight into the genetic mechanisms of sarcopenia and arthritis.Clinical and experimental medicine · 2026Article
- The importance of modifiable lifestyle factors for episodic memory: a gradient boosted tree analysis.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 3 countries.
Funding
Abstract
Osteoarthritis (OA) is increasing in prevalence and has a severe impact on patients' lives. However, our understanding of biomarkers driving OA risk remains limited. We developed a model predicting the five-year risk of OA diagnosis, integrating retrospective clinical, lifestyle and biomarker data from the UK Biobank (19,120 patients with OA, ROC-AUC: 0.72, 95%CI (0.71-0.73)). Higher age, BMI and prescription of non-steroidal anti-inflammatory drugs contributed most to increased OA risk prediction ahead of diagnosis. We identified 14 subgroups of OA risk profiles. These subgroups were validated in an independent set of patients evaluating the 11-year OA risk, with 88% of patients being uniquely assigned to one of the 14 subgroups. Individual OA risk profiles were characterised by personalised biomarkers. Omics integration demonstrated the predictive importance of key OA genes and pathways (e.g., GDF5 and TGF-β signalling) and OA-specific biomarkers (e.g., CRTAC1 and COL9A1). In summary, this work identifies opportunities for personalised OA prevention and insights into its underlying pathogenesis.
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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.