A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study

Gout

Risk of urolithiasis associated with allopurinol versus benzbromarone among patients with gout: a population-based cohort study

Rheumatology (Oxford)

Kang EH, Shin A, Park CS, Lee EB, Lee YJ, Curhan G, Choi HK

doi: 10.1093/rheumatology/keae262

Further Publications Immunology

Development of a Multivariable Model to Predict the Need for Bone Marrow Sampling in Persons With Monoclonal Gammopathy of Undetermined Significance : A Cohort Study Nested in a Clinical Trial

Ann Intern Med

Eythorsson E, Rognvaldsson S, Thorsteinsdottir S, Einarsson Long T, Reed ER, Sigurdardottir GA, Vidarsson B, Onundarson PT, Agnarsson BA, Sigurdardottir M, Olafsson I, Thorsteinsdottir I, Sveinsdottir SV, Sigurdsson F, Thordardottir AR, Palsson R, Indridason OS, Jonsson A, Gislason GK, Olafsson A, Sigurdsson J, Steingrimsdottir H, Hultcrantz M, Durie BGM, Harding S, Landgren O, Aspelund T, Love TJ, Kristinsson SY

doi: 10.7326/M23-2540

Osteoarthritis

XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study

Arthritis Res Ther

Fan Z, Song W, Ke Y, Jia L, Li S, Li JJ, Zhang Y, Lin J, Wang B

doi: 10.1186/s13075-024-03450-2

Osteoporosis

Long Dosing Intervals of Parenteral Antiosteoporosis Medications and the Decrease in Societal Fracture Risk: A 11-Year Nationwide Population-Based Cohort Study

Mayo Clin Proc

Fu SH, Yen HK, Yang RS, Hung CC, Lin JW, Lee MT, Chen HM, Wu CH, Hsu CC, Li CY, Groot OQ, Wang CY

doi: 10.1016/j.mayocp.2024.05.002

Gout

Weight loss after initiating anti-obesity medications and gout among overweight and obesity individuals: a population-based cohort study

Arthritis Rheumatol

Wei J, Wang Y, Dalbeth N, Xie J, Wu J, Zeng C, Lei G, Zhang Y

doi: 10.1002/art.42996

Osteoarthritis

Cohort profile: Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) - an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis

BMJ Open

van Buuren MMA, Riedstra NS, van den Berg MA, Boel FDEM, Ahedi H, Arbabi V, Arden NK, Bierma-Zeinstra SMA, Boer CG, Cicuttini F, Cootes TF, Crossley K, Felson D, Gielis WP, Heerey J, Jones G, Kluzek S, Lane NE, Lindner C, Lynch JA, Van Meurs J, Mosler AB, Nelson AE, Nevitt M, Oei E, Runhaar J, Tang J, Weinans H, Agricola R

doi: 10.1136/bmjopen-2023-077907

Vitiligo

Evaluating Cancer Risk in a Large Cohort of 25,008 Vitiligo Patients: Insights from a Comprehensive Cohort Population-Based Study

J Am Acad Dermatol

Schonmann Y, Cohen NT, Czarnowicki T

doi: 10.1016/j.jaad.2024.11.043

Rheumatoid Arthritis

Machine learning in the prediction of treatment response in rheumatoid arthritis: A systematic review

Semin Arthritis Rheum

Mendoza-Pinto C, Sánchez-Tecuatl M, Berra-Romani R, Maya-Castro ID, Etchegaray-Morales I, Munguía-Realpozo P, Cárdenas-García M, Arellano-Avendaño FJ, García-Carrasco M

doi: 10.1016/j.semarthrit.2024.152501

Systemic Sclerosis

Total lung capacity is predictive of disease severity and survival in systemic sclerosis: A longitudinal analysis in 2347 patients from the French National Cohort Study

J Autoimmun

Chaigne B, Bense A, Aubourg F, Agard C, Allanore Y, Berezne A, Pugnet G, Hachulla E, Cottin V, Hot A, Dunogue B, Kanagaratnam A, Palat S, Lescoat A, Berthier S, Chatelus E, Rivière S, Launay D, Truchetet ME, Dinh-Xuan AT, Mouthon L, French Systemic Sclerosis Network

doi: 10.1016/j.jaut.2025.103391

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