{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T04:36:58Z","timestamp":1777005418315,"version":"3.51.4"},"reference-count":106,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T00:00:00Z","timestamp":1773705600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"vor","delay-in-days":38,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/100015311","name":"Novartis Institutes for BioMedical Research","doi-asserted-by":"publisher","award":["BASICHR0062"],"award-info":[{"award-number":["BASICHR0062"]}],"id":[{"id":"10.13039\/100015311","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"DOI":"10.1186\/s12911-026-03435-y","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T10:36:43Z","timestamp":1773743803000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel"],"prefix":"10.1186","volume":"26","author":[{"given":"D.","family":"Demanse","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Saxer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Gazit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Patalon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Schieker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,17]]},"reference":[{"key":"3435_CR1","unstructured":"Collaborative-global burden of disease network. Global burden of disease study 2019 results. Available from: https:\/\/vizhub.healthdata.org\/gbd-results\/2020."},{"issue":"3","key":"3435_CR2","doi-asserted-by":"publisher","first-page":"219","DOI":"10.5792\/ksrr.2016.28.3.219","volume":"28","author":"IL Araujo","year":"2016","unstructured":"Araujo IL, Castro MC, Daltro C, Matos MA. Quality of Life and Functional Independence in Patients with Osteoarthritis of the Knee. Knee Surg Relat Res. 2016;28(3):219\u201324.","journal-title":"Knee Surg Relat Res"},{"key":"3435_CR3","doi-asserted-by":"publisher","first-page":"d1165","DOI":"10.1136\/bmj.d1165","volume":"342","author":"E Nuesch","year":"2011","unstructured":"Nuesch E, Dieppe P, Reichenbach S, Williams S, Iff S, Juni P. All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study. BMJ. 2011;342:d1165.","journal-title":"BMJ"},{"issue":"12","key":"3435_CR4","doi-asserted-by":"publisher","first-page":"3546","DOI":"10.1002\/art.24984","volume":"60","author":"H Kotlarz","year":"2009","unstructured":"Kotlarz H, Gunnarsson CL, Fang H, Rizzo JA. Insurer and out-of-pocket costs of osteoarthritis in the US: evidence from national survey data. Arthritis Rheum-Us. 2009;60(12):3546\u201353.","journal-title":"Arthritis Rheum-Us"},{"issue":"7","key":"3435_CR5","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1038\/nrrheum.2014.44","volume":"10","author":"DJ Hunter","year":"2014","unstructured":"Hunter DJ, Schofield D, Callander E. The individual and socioeconomic impact of osteoarthritis. Nat Rev Rheumatol. 2014;10(7):437\u201341.","journal-title":"Nat Rev Rheumatol"},{"issue":"10182","key":"3435_CR6","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1016\/S0140-6736(19)30417-9","volume":"393","author":"DJ Hunter","year":"2019","unstructured":"Hunter DJ, Bierma-Zeinstra S, Osteoarthritis. Lancet. 2019;393(10182):1745\u201359.","journal-title":"Lancet"},{"issue":"6","key":"3435_CR7","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1177\/0363546516629944","volume":"44","author":"TL Sanders","year":"2016","unstructured":"Sanders TL, Maradit Kremers H, Bryan AJ, Larson DR, Dahm DL, Levy BA, et al. Incidence of Anterior Cruciate Ligament Tears and Reconstruction: A 21-Year Population-Based Study. Am J Sports Med. 2016;44(6):1502\u20137.","journal-title":"Am J Sports Med"},{"issue":"1","key":"3435_CR8","doi-asserted-by":"publisher","first-page":"232596712110622","DOI":"10.1177\/23259671211062238","volume":"10","author":"A Grassi","year":"2022","unstructured":"Grassi A, Pizza N, Al-Zu\u2019bi BBH, Fabbro GD, Lucidi GA, Zaffagnini S. Clinical Outcomes and Osteoarthritis at Very Long-term Follow-up After ACL Reconstruction: A Systematic Review and Meta-analysis. Orthop J Sports Med. 2022;10(1):23259671211062238.","journal-title":"Orthop J Sports Med"},{"key":"3435_CR9","unstructured":"March L, Cross M, Lo C, Arden N, Leyland K, Hawker G, et al. White Paper - OA as a serious disease: OARSI. 2016. Available from: https:\/\/oarsi.org\/sites\/oarsi\/files\/docs\/2016\/oarsi_white_paper_oa_serious_disease_121416_1.pdf."},{"key":"3435_CR10","doi-asserted-by":"crossref","unstructured":"Mobasheri A, Loeser R. Clinical phenotypes, molecular endotypes and theratypes in OA therapeutic development. Nat Rev Rheumatol. 2024.","DOI":"10.1038\/s41584-024-01126-4"},{"issue":"12","key":"3435_CR11","doi-asserted-by":"publisher","first-page":"1926","DOI":"10.1016\/j.joca.2017.08.009","volume":"25","author":"LA Deveza","year":"2017","unstructured":"Deveza LA, Melo L, Yamato TP, Mills K, Ravi V, Hunter DJ. Knee osteoarthritis phenotypes and their relevance for outcomes: a systematic review. Osteoarthritis Cartilage. 2017;25(12):1926\u201341.","journal-title":"Osteoarthritis Cartilage"},{"issue":"5","key":"3435_CR12","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1136\/annrheumdis-2021-221763","volume":"81","author":"F Angelini","year":"2022","unstructured":"Angelini F, Widera P, Mobasheri A, Blair J, Struglics A, Uebelhoer M, et al. Osteoarthritis endotype discovery via clustering of biochemical marker data. Ann Rheum Dis. 2022;81(5):666\u201375.","journal-title":"Ann Rheum Dis"},{"issue":"1","key":"3435_CR13","doi-asserted-by":"publisher","first-page":"e0191045","DOI":"10.1371\/journal.pone.0191045","volume":"13","author":"A Dell\u2019Isola","year":"2018","unstructured":"Dell\u2019Isola A, Steultjens M. Classification of patients with knee osteoarthritis in clinical phenotypes: Data from the osteoarthritis initiative. PLoS ONE. 2018;13(1):e0191045.","journal-title":"PLoS ONE"},{"key":"3435_CR14","doi-asserted-by":"crossref","unstructured":"Demanse D, Saxer F, Lustenberger P, Tank\u00f3 LB, Nikolaus P, Rasin I, et al. Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the Osteoarthritis Initiative database. Semin Arthritis Rheum. 2023;58.","DOI":"10.1016\/j.semarthrit.2022.152140"},{"issue":"11","key":"3435_CR15","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1002\/acr.20571","volume":"63","author":"J van der Knoop","year":"2011","unstructured":"van der Knoop J, Thorstensson CA, Roorda LD, Lems WF, Knol DL, et al. Identification of phenotypes with different clinical outcomes in knee osteoarthritis: data from the Osteoarthritis Initiative. Arthritis Care Res (Hoboken). 2011;63(11):1535\u201342.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"1","key":"3435_CR16","doi-asserted-by":"publisher","first-page":"100433","DOI":"10.1016\/j.ocarto.2023.100433","volume":"6","author":"F Saxer","year":"2024","unstructured":"Saxer F, Hollinger A, Bjurstrom MF, Conaghan PG, Neogi T, Schieker M, et al. Pain-phenotyping in osteoarthritis: Current concepts, evidence, and considerations towards a comprehensive framework for assessment and treatment. Osteoarthr Cartil Open. 2024;6(1):100433.","journal-title":"Osteoarthr Cartil Open"},{"issue":"2","key":"3435_CR17","doi-asserted-by":"publisher","first-page":"E125","DOI":"10.1016\/S2665-9913(21)00324-6","volume":"4","author":"Q Liu","year":"2022","unstructured":"Liu Q, Chu HL, LaValley MP, Hunter DJ, Zhang H, Tao LY, et al. Prediction models for the risk of total knee replacement: development and validation using data from multicentre cohort studies. Lancet Rheumatol. 2022;4(2):E125\u201334.","journal-title":"Lancet Rheumatol"},{"issue":"2","key":"3435_CR18","doi-asserted-by":"publisher","first-page":"100458","DOI":"10.1016\/j.ocarto.2024.100458","volume":"6","author":"F Saxer","year":"2024","unstructured":"Saxer F, Demanse D, Brett A, Laurent D, Mindeholm L, Conaghan PG, et al. Prognostic value of B-score for predicting joint replacement in the context of osteoarthritis phenotypes: Data from the osteoarthritis initiative. Osteoarthr Cartil Open. 2024;6(2):100458.","journal-title":"Osteoarthr Cartil Open"},{"key":"3435_CR19","doi-asserted-by":"crossref","unstructured":"Heisinger S, Hitzl W, Horbusch GM, Windhager R, Cotofana S. Predicting total knee replacement from symptomology and radiographic structural change using artificial neural networks\u2014data from the osteoarthritis initiative (OAI). J Clin Med. 2020.","DOI":"10.3390\/jcm9051298"},{"issue":"3","key":"3435_CR20","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1148\/radiol.2020192091","volume":"296","author":"K Leung","year":"2020","unstructured":"Leung K, Zhang B, Tan J, Shen Y, Geras KJ, Babb JS, et al. Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative. Radiology. 2020;296(3):584\u201393.","journal-title":"Radiology"},{"issue":"1","key":"3435_CR21","doi-asserted-by":"publisher","first-page":"e000141","DOI":"10.1136\/bmjsit-2022-000141","volume":"5","author":"K Mahmoud","year":"2023","unstructured":"Mahmoud K, Alagha MA, Nowinka Z, Jones G. Predicting total knee replacement at 2 and 5 years in osteoarthritis patients using machine learning. BMJ Surg Interv Health Technol. 2023;5(1):e000141.","journal-title":"BMJ Surg Interv Health Technol"},{"issue":"1","key":"3435_CR22","doi-asserted-by":"publisher","first-page":"6922","DOI":"10.1038\/s41598-023-33934-1","volume":"13","author":"HR Rajamohan","year":"2023","unstructured":"Rajamohan HR, Wang T, Leung K, Chang G, Cho K, Kijowski R, et al. Prediction of total knee replacement using deep learning analysis of knee MRI. Sci Rep. 2023;13(1):6922.","journal-title":"Sci Rep"},{"issue":"9","key":"3435_CR23","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1136\/annrheumdis-2016-210815","volume":"76","author":"G Sakellariou","year":"2017","unstructured":"Sakellariou G, Conaghan PG, Zhang W, Bijlsma JWJ, Boyesen P, D\u2019Agostino MA, et al. EULAR recommendations for the use of imaging in the clinical management of peripheral joint osteoarthritis. Ann Rheum Dis. 2017;76(9):1484\u201394.","journal-title":"Ann Rheum Dis"},{"issue":"6","key":"3435_CR24","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1186\/ar3488","volume":"13","author":"A Guermazi","year":"2011","unstructured":"Guermazi A, Roemer FW, Burstein D, Hayashi D. Why radiography should no longer be considered a surrogate outcome measure for longitudinal assessment of cartilage in knee osteoarthritis. Arthritis Res Ther. 2011;13(6):247.","journal-title":"Arthritis Res Ther"},{"key":"3435_CR25","doi-asserted-by":"crossref","unstructured":"Hamood R, Tirosh M, Fallach N, Chodick G, Eisenberg E, Lubovsky O. Prevalence and incidence of osteoarthritis: a population-based retrospective cohort study. J Clin Med. 2021;10(18).","DOI":"10.3390\/jcm10184282"},{"issue":"1","key":"3435_CR26","first-page":"23","volume":"23","author":"E Moore","year":"2021","unstructured":"Moore E, Silverman BG, Fishler Y, Ben-Adiva E, Davidov O, Dichtiar R, et al. An Assessment of the Completeness and Timeliness of the Israel National Cancer Registry. Isr Med Assoc J. 2021;23(1):23\u20137.","journal-title":"Isr Med Assoc J"},{"issue":"3","key":"3435_CR27","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.ijcard.2010.08.002","volume":"152","author":"V Shalev","year":"2011","unstructured":"Shalev V, Chodick G, Goren I, Silber H, Kokia E, Heymann AD. The use of an automated patient registry to manage and monitor cardiovascular conditions and related outcomes in a large health organization. Int J Cardiol. 2011;152(3):345\u20139.","journal-title":"Int J Cardiol"},{"issue":"24","key":"3435_CR28","doi-asserted-by":"publisher","first-page":"2518","DOI":"10.1001\/jama.2014.6634","volume":"311","author":"J Coresh","year":"2014","unstructured":"Coresh J, Turin TC, Matsushita K, Sang Y, Ballew SH, Appel LJ, et al. Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA. 2014;311(24):2518\u201331.","journal-title":"JAMA"},{"issue":"12","key":"3435_CR29","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1023\/B:EJEP.0000006635.36802.c8","volume":"18","author":"G Chodick","year":"2003","unstructured":"Chodick G, Heymann AD, Shalev V, Kookia E. The epidemiology of diabetes in a large Israeli HMO. Eur J Epidemiol. 2003;18(12):1143\u20136.","journal-title":"Eur J Epidemiol"},{"key":"3435_CR30","doi-asserted-by":"publisher","first-page":"e071113","DOI":"10.1136\/bmj-2022-071113","volume":"377","author":"S Gazit","year":"2022","unstructured":"Gazit S, Saciuk Y, Perez G, Peretz A, Pitzer VE, Patalon T. Short term, relative effectiveness of four doses versus three doses of BNT162b2 vaccine in people aged 60 years and older in Israel: retrospective, test negative, case-control study. BMJ. 2022;377:e071113.","journal-title":"BMJ"},{"issue":"10","key":"3435_CR31","doi-asserted-by":"publisher","first-page":"4504","DOI":"10.1007\/s12325-023-02607-w","volume":"40","author":"V Rosenberg","year":"2023","unstructured":"Rosenberg V, Chodick G, Xue ZY, Faccin F, Amital H. Real-World Data of Adherence and Drug Survival of Biologics in Treatment-Naive and Treatment-experienced Adult Patients with Rheumatoid Arthritis. Adv Ther. 2023;40(10):4504\u201322.","journal-title":"Adv Ther"},{"issue":"3","key":"3435_CR32","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1161\/HYPERTENSIONAHA.114.03718","volume":"64","author":"D Weitzman","year":"2014","unstructured":"Weitzman D, Chodick G, Shalev V, Grossman C, Grossman E. Prevalence and factors associated with resistant hypertension in a large health maintenance organization in Israel. Hypertension. 2014;64(3):501\u20137.","journal-title":"Hypertension"},{"key":"3435_CR33","unstructured":"Burk L, Tsibel N. Characterization and classification of geographical units by the socio-economic level of the population, 2019. Central Bureau of Statistics, State of Israel. Central Bureau Stat SoI. 2023;1903."},{"key":"3435_CR34","unstructured":"Central bureau of statistics soI. Publications socio-economic index of local authorities. Available from: https:\/\/www.cbs.gov.il\/en\/publications\/pages\/2023\/socio-2019-e.aspx."},{"key":"3435_CR35","doi-asserted-by":"crossref","unstructured":"Josse J, Husson F, Miss MDA. A package for handling missing values in multivariate data analysis. J Stat Softw. 2016;70(1).","DOI":"10.18637\/jss.v070.i01"},{"issue":"6","key":"3435_CR36","first-page":"294","volume":"43","author":"P Fritz","year":"1984","unstructured":"Fritz P, Muller J, Reiser H, Saal JG, Hadam M, Rautenstrauch H, et al. Distribution of mast cells in human synovial tissue of patients with osteoarthritis and rheumatoid arthritis. Z Rheumatol. 1984;43(6):294\u20138.","journal-title":"Z Rheumatol"},{"issue":"1","key":"3435_CR37","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/BF02890187","volume":"47","author":"P Fritz","year":"1984","unstructured":"Fritz P, Reiser H, Saal JG, Hadam M, Muller J, Wegner G. Analysis of mast cells in rheumatoid arthritis and osteoarthritis by an avidin-peroxidase staining. Virchows Arch B Cell Pathol Incl Mol Pathol. 1984;47(1):35\u201345.","journal-title":"Virchows Arch B Cell Pathol Incl Mol Pathol"},{"issue":"12","key":"3435_CR38","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1016\/j.joca.2012.08.027","volume":"20","author":"BJ de Lange-Brokaar","year":"2012","unstructured":"de Lange-Brokaar BJ, Ioan-Facsinay A, van Osch GJ, Zuurmond AM, Schoones J, Toes RE, et al. Synovial inflammation, immune cells and their cytokines in osteoarthritis: a review. Osteoarthritis Cartilage. 2012;20(12):1484\u201399.","journal-title":"Osteoarthritis Cartilage"},{"issue":"4","key":"3435_CR39","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.joca.2015.11.011","volume":"24","author":"BJ de Lange-Brokaar","year":"2016","unstructured":"de Lange-Brokaar BJ, Kloppenburg M, Andersen SN, Dorjee AL, Yusuf E, Herb-van Toorn L, et al. Characterization of synovial mast cells in knee osteoarthritis: association with clinical parameters. Osteoarthritis Cartilage. 2016;24(4):664\u201371.","journal-title":"Osteoarthritis Cartilage"},{"key":"3435_CR40","unstructured":"Nevitt MC, Felson DT, Lester G. The osteoarthritis initiative protocol for the cohort study. 2006 Available from: https:\/\/nda.nih.gov\/static\/docs\/StudyDesignProtocolAndAppendices.pdf."},{"issue":"1","key":"3435_CR41","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s13075-018-1619-7","volume":"20","author":"I Shirinsky","year":"2018","unstructured":"Shirinsky I, Shirinsky V. H(1)-antihistamines are associated with lower prevalence of radiographic knee osteoarthritis: a cross-sectional analysis of the Osteoarthritis Initiative data. Arthritis Res Ther. 2018;20(1):116.","journal-title":"Arthritis Res Ther"},{"issue":"6","key":"3435_CR42","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1177\/1759720X16664323","volume":"8","author":"JB Driban","year":"2016","unstructured":"Driban JB, Lo GH, Eaton CB, Lapane KL, Nevitt M, Harvey WF, et al. Exploratory analysis of osteoarthritis progression among medication users: data from the Osteoarthritis Initiative. Ther Adv Musculoskelet Dis. 2016;8(6):207\u201319.","journal-title":"Ther Adv Musculoskelet Dis"},{"issue":"11","key":"3435_CR43","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1016\/j.joca.2014.07.015","volume":"22","author":"A Turkiewicz","year":"2014","unstructured":"Turkiewicz A, Petersson IF, Bjork J, Hawker G, Dahlberg LE, Lohmander LS, et al. Current and future impact of osteoarthritis on health care: a population-based study with projections to year 2032. Osteoarthritis Cartilage. 2014;22(11):1826\u201332.","journal-title":"Osteoarthritis Cartilage"},{"issue":"2","key":"3435_CR44","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s10654-013-9787-x","volume":"28","author":"L Lind","year":"2013","unstructured":"Lind L, Elmstahl S, Bergman E, Englund M, Lindberg E, Michaelsson K, et al. EpiHealth: a large population-based cohort study for investigation of gene-lifestyle interactions in the pathogenesis of common diseases. Eur J Epidemiol. 2013;28(2):189\u201397.","journal-title":"Eur J Epidemiol"},{"issue":"6","key":"3435_CR45","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1136\/ard-2022-223640","volume":"82","author":"MC Baker","year":"2023","unstructured":"Baker MC, Sheth K, Lu R, Lu D, von Kaeppler EP, Bhat A, et al. Increased risk of osteoarthritis in patients with atopic disease. Ann Rheum Dis. 2023;82(6):866\u201372.","journal-title":"Ann Rheum Dis"},{"issue":"2","key":"3435_CR46","doi-asserted-by":"publisher","first-page":"100265","DOI":"10.1016\/j.ocarto.2022.100265","volume":"4","author":"A Dell\u2019Isola","year":"2022","unstructured":"Dell\u2019Isola A, Turkiewicz A, Zhang W, Bierma-Zeinstra S, Runhaar J, Prieto-Alhambra D, et al. The association between preexisting conditions and osteoarthritis development in peripheral joints: A population based nested case-control study. Osteoarthr Cartil Open. 2022;4(2):100265.","journal-title":"Osteoarthr Cartil Open"},{"issue":"2","key":"3435_CR47","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.joca.2023.11.003","volume":"32","author":"MC Baker","year":"2024","unstructured":"Baker MC, Robinson WH, Ostrom Q. Genetic association between atopic disease and osteoarthritis. Osteoarthritis Cartilage. 2024;32(2):220\u20135.","journal-title":"Osteoarthritis Cartilage"},{"issue":"10","key":"3435_CR48","doi-asserted-by":"publisher","first-page":"2218","DOI":"10.1111\/bcp.13656","volume":"84","author":"JC McCrae","year":"2018","unstructured":"McCrae JC, Morrison EE, MacIntyre IM, Dear JW, Webb DJ. Long-term adverse effects of paracetamol - a review. Br J Clin Pharmacol. 2018;84(10):2218\u201330.","journal-title":"Br J Clin Pharmacol"},{"key":"3435_CR49","doi-asserted-by":"crossref","unstructured":"Andersen H, Ilmarinen P, Honkamaki J, Tuomisto LE, Hisinger-Molkanen H, Backman H, et al. NSAID-exacerbated respiratory disease: a population study. ERJ Open Res. 2022;8(1).","DOI":"10.1183\/23120541.00462-2021"},{"issue":"3","key":"3435_CR50","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1080\/14740338.2021.1965988","volume":"21","author":"MJ Domper Arnal","year":"2022","unstructured":"Domper Arnal MJ, Hijos-Mallada G, Lanas A. Gastrointestinal and cardiovascular adverse events associated with NSAIDs. Expert Opin Drug Saf. 2022;21(3):373\u201384.","journal-title":"Expert Opin Drug Saf"},{"issue":"8","key":"3435_CR51","doi-asserted-by":"publisher","first-page":"e12296","DOI":"10.1002\/clt2.12296","volume":"13","author":"A Heleva","year":"2023","unstructured":"Heleva A, Murtomaki A, Huhtala H, Bousquet J, Luukkainen A, Karjalainen J, et al. Risk factors of NSAID-exacerbated respiratory disease: A population-based study. Clin Transl Allergy. 2023;13(8):e12296.","journal-title":"Clin Transl Allergy"},{"issue":"11","key":"3435_CR52","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1002\/acr.20558","volume":"63","author":"P Vavken","year":"2011","unstructured":"Vavken P, Dorotka R. Burden of musculoskeletal disease and its determination by urbanicity, socioeconomic status, age, and sex: Results from 14,507 subjects. Arthritis Care Res (Hoboken). 2011;63(11):1558\u201364.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"1","key":"3435_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.rdc.2020.09.001","volume":"47","author":"LF Callahan","year":"2021","unstructured":"Callahan LF, Cleveland RJ, Allen KD, Golightly Y, Racial\/Ethnic. Socioeconomic, and Geographic Disparities in the Epidemiology of Knee and Hip Osteoarthritis. Rheum Dis Clin North Am. 2021;47(1):1\u201320.","journal-title":"Rheum Dis Clin North Am"},{"issue":"1","key":"3435_CR54","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.rdc.2020.09.006","volume":"47","author":"AM Reyes","year":"2021","unstructured":"Reyes AM, Katz JN. Racial\/Ethnic and Socioeconomic Disparities in Osteoarthritis Management. Rheum Dis Clin North Am. 2021;47(1):21\u201340.","journal-title":"Rheum Dis Clin North Am"},{"key":"3435_CR55","doi-asserted-by":"publisher","first-page":"1053304","DOI":"10.3389\/fpubh.2022.1053304","volume":"10","author":"R Witkam","year":"2022","unstructured":"Witkam R, Verstappen SMM, Gwinnutt JM, Cook MJ, O\u2019Neill TW, Cooper R, et al. The association between lower socioeconomic position and functional limitations is partially mediated by obesity in older adults with symptomatic knee osteoarthritis: Findings from the English Longitudinal Study of Ageing. Front Public Health. 2022;10:1053304.","journal-title":"Front Public Health"},{"issue":"1","key":"3435_CR56","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1093\/intqhc\/mzl065","volume":"19","author":"N Agabiti","year":"2007","unstructured":"Agabiti N, Picciotto S, Cesaroni G, Bisanti L, Forastiere F, Onorati R, et al. The influence of socioeconomic status on utilization and outcomes of elective total hip replacement: a multicity population-based longitudinal study. Int J Qual Health Care. 2007;19(1):37\u201344.","journal-title":"Int J Qual Health Care"},{"key":"3435_CR57","doi-asserted-by":"crossref","unstructured":"Atarere J, Agudile E, Orhurhu V, Agudile UM, Sorescu G, Suleiman ZA, et al. Racial and socioeconomic disparities in the utilization of tka among patients with posttraumatic knee osteoarthritis: estimates from the United States National Inpatient Sample, 2011\u20132018. JB JS Open Access. 2022;7(3).","DOI":"10.2106\/JBJS.OA.22.00017"},{"issue":"1","key":"3435_CR58","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/s43019-024-00227-4","volume":"37","author":"SA Dhanjani","year":"2025","unstructured":"Dhanjani SA, Schmerler J, Hussain N, Badin D, Srikumaran U, Hegde V, et al. Racial, socioeconomic, and payer status disparities in utilization of unicompartmental knee arthroplasty in the USA. Knee Surg Relat Res. 2025;37(1):2.","journal-title":"Knee Surg Relat Res"},{"issue":"1","key":"3435_CR59","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1080\/17453674.2020.1840111","volume":"92","author":"NM Edwards","year":"2021","unstructured":"Edwards NM, Varnum C, Overgaard S, Pedersen AB. The impact of socioeconomic status on the utilization of total hip arthroplasty during 1995\u20132017: 104,055 THA cases and 520,275 population controls from national databases in Denmark. Acta Orthop. 2021;92(1):29\u201335.","journal-title":"Acta Orthop"},{"issue":"7","key":"3435_CR60","doi-asserted-by":"publisher","first-page":"e081723","DOI":"10.1136\/bmjopen-2023-081723","volume":"14","author":"C Job","year":"2024","unstructured":"Job C, Adenipekun B, Cleves A, Gill P, Samuriwo R. Health professionals implicit bias of patients with low socioeconomic status (SES) and its effects on clinical decision-making: a scoping review. BMJ Open. 2024;14(7):e081723.","journal-title":"BMJ Open"},{"issue":"12","key":"3435_CR61","doi-asserted-by":"publisher","first-page":"e0227007","DOI":"10.1371\/journal.pone.0227007","volume":"14","author":"V Lastrucci","year":"2019","unstructured":"Lastrucci V, Lorini C, Caini S, Florence Health Literacy Research G, Bonaccorsi G. Health literacy as a mediator of the relationship between socioeconomic status and health: A cross-sectional study in a population-based sample in Florence. PLoS ONE. 2019;14(12):e0227007.","journal-title":"PLoS ONE"},{"issue":"sup2","key":"3435_CR62","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1080\/10810730.2016.1207115","volume":"21","author":"D Levin-Zamir","year":"2016","unstructured":"Levin-Zamir D, Baron-Epel OB, Cohen V, Elhayany A. The Association of Health Literacy with Health Behavior, Socioeconomic Indicators, and Self-Assessed Health From a National Adult Survey in Israel. J Health Commun. 2016;21(sup2):61\u20138.","journal-title":"J Health Commun"},{"issue":"5","key":"3435_CR63","doi-asserted-by":"publisher","first-page":"e1","DOI":"10.1093\/heapro\/day062","volume":"34","author":"C Van den Stormacq","year":"2019","unstructured":"Van den Stormacq C, Wosinski J. Does health literacy mediate the relationship between socioeconomic status and health disparities? Integrative review. Health Promot Int. 2019;34(5):e1\u201317.","journal-title":"Health Promot Int"},{"issue":"1","key":"3435_CR64","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1186\/s12889-020-08498-8","volume":"20","author":"MT Svendsen","year":"2020","unstructured":"Svendsen MT, Bak CK, Sorensen K, Pelikan J, Riddersholm SJ, Skals RK, et al. Associations of health literacy with socioeconomic position, health risk behavior, and health status: a large national population-based survey among Danish adults. BMC Public Health. 2020;20(1):565.","journal-title":"BMC Public Health"},{"issue":"8","key":"3435_CR65","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1002\/acr.21970","volume":"65","author":"CM Borkhoff","year":"2013","unstructured":"Borkhoff CM, Hawker GA, Kreder HJ, Glazier RH, Mahomed NN, Wright JG. Influence of patients\u2019 gender on informed decision making regarding total knee arthroplasty. Arthritis Care Res (Hoboken). 2013;65(8):1281\u201390.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"7","key":"3435_CR66","doi-asserted-by":"publisher","first-page":"1829","DOI":"10.1007\/s11999-011-1879-x","volume":"469","author":"CM Borkhoff","year":"2011","unstructured":"Borkhoff CM, Hawker GA, Wright JG. Patient gender affects the referral and recommendation for total joint arthroplasty. Clin Orthop Relat Res. 2011;469(7):1829\u201337.","journal-title":"Clin Orthop Relat Res"},{"issue":"14","key":"3435_CR67","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1056\/NEJM200004063421405","volume":"342","author":"GA Hawker","year":"2000","unstructured":"Hawker GA, Wright JG, Coyte PC, Williams JI, Harvey B, Glazier R, et al. Differences between men and women in the rate of use of hip and knee arthroplasty. N Engl J Med. 2000;342(14):1016\u201322.","journal-title":"N Engl J Med"},{"issue":"10","key":"3435_CR68","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1016\/j.joca.2018.06.013","volume":"26","author":"C Huynh","year":"2018","unstructured":"Huynh C, Puyraimond-Zemmour D, Maillefert JF, Conaghan PG, Davis AM, Gunther KP, et al. Factors associated with the orthopaedic surgeon\u2019s decision to recommend total joint replacement in hip and knee osteoarthritis: an international cross-sectional study of 1905 patients. Osteoarthritis Cartilage. 2018;26(10):1311\u20138.","journal-title":"Osteoarthritis Cartilage"},{"issue":"1\u20132","key":"3435_CR69","doi-asserted-by":"publisher","first-page":"100004","DOI":"10.1016\/j.ocarto.2019.100004","volume":"1","author":"AV Perruccio","year":"2019","unstructured":"Perruccio AV, Badley EM, Power JD, Canizares M, Kapoor M, Rockel J, et al. Sex differences in the relationship between individual systemic markers of inflammation and pain in knee osteoarthritis. Osteoarthr Cartil Open. 2019;1(1\u20132):100004.","journal-title":"Osteoarthr Cartil Open"},{"issue":"1","key":"3435_CR70","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1038\/s41467-020-14396-9","volume":"11","author":"EJ Marquez","year":"2020","unstructured":"Marquez EJ, Chung CH, Marches R, Rossi RJ, Nehar-Belaid D, Eroglu A, et al. Sexual-dimorphism in human immune system aging. Nat Commun. 2020;11(1):751.","journal-title":"Nat Commun"},{"issue":"11","key":"3435_CR71","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1136\/bjsports-2017-098674","volume":"52","author":"HA Prentice","year":"2018","unstructured":"Prentice HA, Lind M, Mouton C, Persson A, Magnusson H, Gabr A, et al. Patient demographic and surgical characteristics in anterior cruciate ligament reconstruction: a description of registries from six countries. Br J Sports Med. 2018;52(11):716\u201322.","journal-title":"Br J Sports Med"},{"issue":"12","key":"3435_CR72","doi-asserted-by":"publisher","first-page":"232596712110253","DOI":"10.1177\/23259671211025304","volume":"9","author":"TM Ellison","year":"2021","unstructured":"Ellison TM, Flagstaff I, Johnson AE. Sexual Dimorphisms in Anterior Cruciate Ligament Injury: A Current Concepts Review. Orthop J Sports Med. 2021;9(12):23259671211025304.","journal-title":"Orthop J Sports Med"},{"issue":"2","key":"3435_CR73","doi-asserted-by":"publisher","first-page":"A1","DOI":"10.1016\/S0972-978X(16)00023-4","volume":"13","author":"The female ACL","year":"2016","unstructured":"The female ACL. Why is it more prone to injury? J Orthop. 2016;13(2):A1\u20134.","journal-title":"J Orthop"},{"issue":"9","key":"3435_CR74","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1097\/00005768-200009000-00013","volume":"32","author":"CJ Caspersen","year":"2000","unstructured":"Caspersen CJ, Pereira MA, Curran KM. Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc. 2000;32(9):1601\u20139.","journal-title":"Med Sci Sports Exerc"},{"issue":"10","key":"3435_CR75","doi-asserted-by":"publisher","first-page":"e1077","DOI":"10.1016\/S2214-109X(18)30357-7","volume":"6","author":"R Guthold","year":"2018","unstructured":"Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet Glob Health. 2018;6(10):e1077\u201386.","journal-title":"Lancet Glob Health"},{"key":"3435_CR76","doi-asserted-by":"crossref","unstructured":"Gomez GJ, Burr EK, DiBello AM, Farris SG. Understanding sex differences in physical activity behavior: The role of anxiety sensitivity. Ment Health Phys Act. 2021;20.","DOI":"10.1016\/j.mhpa.2021.100392"},{"key":"3435_CR77","doi-asserted-by":"publisher","first-page":"100908","DOI":"10.1016\/j.pmedr.2019.100908","volume":"15","author":"U Gudnadottir","year":"2019","unstructured":"Gudnadottir U, Cadmus-Bertram L, Spicer A, Gorzelitz J, Malecki K. The relationship between occupational physical activity and self-reported vs measured total physical activity. Prev Med Rep. 2019;15:100908.","journal-title":"Prev Med Rep"},{"issue":"3","key":"3435_CR78","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1080\/19338244.2022.2134282","volume":"78","author":"M Bopp","year":"2023","unstructured":"Bopp M, Wilson OWA, Elliott LD, Holland KE, Duffey M, Papalia Z. Gender and race\/ethnicity differences in occupational activity among students. Arch Environ Occup Health. 2023;78(3):170\u20136.","journal-title":"Arch Environ Occup Health"},{"issue":"2","key":"3435_CR79","first-page":"147","volume":"49","author":"KD Bertakis","year":"2000","unstructured":"Bertakis KD, Azari R, Helms LJ, Callahan EJ, Robbins JA. Gender differences in the utilization of health care services. J Fam Pract. 2000;49(2):147\u201352.","journal-title":"J Fam Pract"},{"issue":"5","key":"3435_CR80","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.1111\/j.1559-1816.2011.00888.x","volume":"42","author":"H Glaesmer","year":"2012","unstructured":"Glaesmer H, Br\u00e4hler E, Martin A, Mewes R, Rief W. Gender Differences in Healthcare Utilization: The Mediating Effect of Utilization Propensity. J Appl Soc Psychol. 2012;42(5):1266\u201379.","journal-title":"J Appl Soc Psychol"},{"issue":"12","key":"3435_CR81","doi-asserted-by":"publisher","first-page":"3459","DOI":"10.1016\/j.pec.2022.08.014","volume":"105","author":"RS Torrente-Jimenez","year":"2022","unstructured":"Torrente-Jimenez RS, Feijoo-Cid M, Rivero-Santana AJ, Perestelo-Perez L, Torres-Castano A, Ramos-Garcia V, et al. Gender differences in the decision-making process for undergoing total knee replacement. Patient Educ Couns. 2022;105(12):3459\u201365.","journal-title":"Patient Educ Couns"},{"issue":"5","key":"3435_CR82","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1007\/s00296-022-05240-y","volume":"43","author":"D Latijnhouwers","year":"2023","unstructured":"Latijnhouwers D, Vlieland T, Marijnissen WJ, Damen PJ, Nelissen R, Gademan MGJ, et al. Sex differences in perceived expectations of the outcome of total hip and knee arthroplasties and their fulfillment: an observational cohort study. Rheumatol Int. 2023;43(5):911\u201322.","journal-title":"Rheumatol Int"},{"issue":"7","key":"3435_CR83","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1007\/s11999-010-1348-y","volume":"468","author":"BS Parsley","year":"2010","unstructured":"Parsley BS, Bertolusso R, Harrington M, Brekke A, Noble PC. Influence of gender on age of treatment with TKA and functional outcome. Clin Orthop Relat Res. 2010;468(7):1759\u201364.","journal-title":"Clin Orthop Relat Res"},{"key":"3435_CR84","doi-asserted-by":"crossref","unstructured":"Courties A, Kouki I, Soliman N, Mathieu S, Sellam J. Osteoarthritis year in review 2024: Epidemiology and therapy. Osteoarthr Cartil. 2024.","DOI":"10.1016\/j.joca.2024.07.014"},{"issue":"9","key":"3435_CR85","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/j.joca.2024.04.002","volume":"32","author":"NA Segal","year":"2024","unstructured":"Segal NA, Nilges JM, Oo WM. Sex differences in osteoarthritis prevalence, pain perception, physical function and therapeutics. Osteoarthritis Cartilage. 2024;32(9):1045\u201353.","journal-title":"Osteoarthritis Cartilage"},{"key":"3435_CR86","unstructured":"UK Biobank. Available from. https:\/\/www.ukbiobank.ac.uk\/."},{"issue":"1","key":"3435_CR87","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1136\/annrheumdis-2018-213894","volume":"78","author":"D Yu","year":"2019","unstructured":"Yu D, Jordan KP, Snell KIE, Riley RD, Bedson J, Edwards JJ, et al. Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Ann Rheum Dis. 2019;78(1):91\u20139.","journal-title":"Ann Rheum Dis"},{"issue":"5","key":"3435_CR88","first-page":"647","volume":"164","author":"DA Redelmeier","year":"2001","unstructured":"Redelmeier DA, Schull MJ, Hux JE, Tu JV, Ferris LE. Problems for clinical judgement: 1. Eliciting an insightful history of present illness. Can Med Assoc J. 2001;164(5):647\u201351.","journal-title":"Can Med Assoc J"},{"issue":"6","key":"3435_CR89","first-page":"809","volume":"164","author":"DA Redelmeier","year":"2001","unstructured":"Redelmeier DA, Tu JV, Schull MJ, Ferris LE, Hux JE. Problems for clinical judgement: 2. Obtaining a reliable past medical history. Can Med Assoc J. 2001;164(6):809\u201313.","journal-title":"Can Med Assoc J"},{"key":"3435_CR90","doi-asserted-by":"publisher","first-page":"b1860","DOI":"10.1136\/bmj.b1860","volume":"338","author":"IA Scott","year":"2009","unstructured":"Scott IA. Errors in clinical reasoning: causes and remedial strategies. BMJ. 2009;338:b1860.","journal-title":"BMJ"},{"issue":"10","key":"3435_CR91","doi-asserted-by":"publisher","first-page":"e0240716","DOI":"10.1371\/journal.pone.0240716","volume":"15","author":"R Featherston","year":"2020","unstructured":"Featherston R, Downie LE, Vogel AP, Galvin KL. Decision making biases in the allied health professions: A systematic scoping review. PLoS ONE. 2020;15(10):e0240716.","journal-title":"PLoS ONE"},{"issue":"3","key":"3435_CR92","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.jchf.2019.09.007","volume":"8","author":"DJP Burns","year":"2020","unstructured":"Burns DJP, Arora J, Okunade O, Beltrame JF, Bernardez-Pereira S, Crespo-Leiro MG, et al. International Consortium for Health Outcomes Measurement (ICHOM): Standardized Patient-Centered Outcomes Measurement Set for Heart Failure Patients. JACC Heart Fail. 2020;8(3):212\u201322.","journal-title":"JACC Heart Fail"},{"issue":"5","key":"3435_CR93","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1001\/jamaoncol.2016.4851","volume":"3","author":"WL Ong","year":"2017","unstructured":"Ong WL, Schouwenburg MG, van Bommel ACM, Stowell C, Allison KH, Benn KE, et al. A Standard Set of Value-Based Patient-Centered Outcomes for Breast Cancer: The International Consortium for Health Outcomes Measurement (ICHOM) Initiative. JAMA Oncol. 2017;3(5):677\u201385.","journal-title":"JAMA Oncol"},{"issue":"1","key":"3435_CR94","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1186\/s13643-022-02120-1","volume":"11","author":"TS Sabet","year":"2022","unstructured":"Sabet TS, Anderson DB, Stubbs PW, Buchbinder R, Terwee CB, Chiarotto A, et al. Identifying common core outcome domains from core outcome sets of musculoskeletal conditions: protocol for a systematic review. Syst Rev. 2022;11(1):248.","journal-title":"Syst Rev"},{"issue":"5","key":"3435_CR95","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1001\/jamaoncol.2017.0417","volume":"3","author":"JA Zerillo","year":"2017","unstructured":"Zerillo JA, Schouwenburg MG, van Bommel ACM, Stowell C, Lippa J, Bauer D, et al. An International Collaborative Standardizing a Comprehensive Patient-Centered Outcomes Measurement Set for Colorectal Cancer. JAMA Oncol. 2017;3(5):686\u201394.","journal-title":"JAMA Oncol"},{"issue":"3","key":"3435_CR96","doi-asserted-by":"publisher","first-page":"e575","DOI":"10.1097\/CCM.0000000000006556","volume":"53","author":"MN Kjaer","year":"2025","unstructured":"Kjaer MN, Bruun CRL, Granholm A, Moller MH, Rasmussen BS, Mortensen CB, et al. A Core Outcome Set for Adult General ICU Patients. Crit Care Med. 2025;53(3):e575\u201389.","journal-title":"Crit Care Med"},{"issue":"8","key":"3435_CR97","doi-asserted-by":"publisher","first-page":"981","DOI":"10.3899\/jrheum.181194","volume":"46","author":"TO Smith","year":"2019","unstructured":"Smith TO, Hawker GA, Hunter DJ, March LM, Boers M, Shea BJ, et al. The OMERACT-OARSI Core Domain Set for Measurement in Clinical Trials of Hip and\/or Knee Osteoarthritis. J Rheumatol. 2019;46(8):981\u20139.","journal-title":"J Rheumatol"},{"issue":"11","key":"3435_CR98","doi-asserted-by":"publisher","first-page":"1631","DOI":"10.1002\/acr.22868","volume":"68","author":"O Rolfson","year":"2016","unstructured":"Rolfson O, Wissig S, van Maasakkers L, Stowell C, Ackerman I, Ayers D, et al. Defining an International Standard Set of Outcome Measures for Patients With Hip or Knee Osteoarthritis: Consensus of the International Consortium for Health Outcomes Measurement Hip and Knee Osteoarthritis Working Group. Arthritis Care Res (Hoboken). 2016;68(11):1631\u20139.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"Suppl 1","key":"3435_CR99","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/17453674.2016.1181815","volume":"87","author":"O Rolfson","year":"2016","unstructured":"Rolfson O, Eresian Chenok K, Bohm E, Lubbeke A, Denissen G, Dunn J, et al. Patient-reported outcome measures in arthroplasty registries. Acta Orthop. 2016;87(Suppl 1):3\u20138.","journal-title":"Acta Orthop"},{"key":"3435_CR100","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1186\/s41687-018-0062-5","volume":"2","author":"IN Ackerman","year":"2017","unstructured":"Ackerman IN, Cavka B, Lippa J, Bucknill A. The feasibility of implementing the ICHOM Standard Set for Hip and Knee Osteoarthritis: a mixed-methods evaluation in public and private hospital settings. J Patient Rep Outcomes. 2017;2:32.","journal-title":"J Patient Rep Outcomes"},{"issue":"6","key":"3435_CR101","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1016\/j.joca.2024.02.001","volume":"32","author":"TO Smith","year":"2024","unstructured":"Smith TO. Adoption of core outcome sets in osteoarthritis clinical trials: Still a long way to go. Osteoarthritis Cartilage. 2024;32(6):631\u20133.","journal-title":"Osteoarthritis Cartilage"},{"issue":"6","key":"3435_CR102","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1016\/j.joca.2024.01.006","volume":"32","author":"T Jelinek","year":"2024","unstructured":"Jelinek T, Young A, Jones G, Magana K, Magee T, Ward S, et al. Assessing the degree to which randomized controlled trials align with the core outcome set for osteoarthritis of knee and hip: A cross-sectional analysis. Osteoarthritis Cartilage. 2024;32(6):713\u20138.","journal-title":"Osteoarthritis Cartilage"},{"issue":"4","key":"3435_CR103","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1002\/art.40752","volume":"71","author":"LC Carlesso","year":"2019","unstructured":"Carlesso LC, Segal NA, Frey-Law L, Zhang Y, Na L, Nevitt M, et al. Pain Susceptibility Phenotypes in Those Free of Knee Pain With or at Risk of Knee Osteoarthritis: The Multicenter Osteoarthritis Study. Arthritis Rheumatol. 2019;71(4):542\u20139.","journal-title":"Arthritis Rheumatol"},{"issue":"3","key":"3435_CR104","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1097\/j.pain.0000000000001445","volume":"160","author":"JJ Burston","year":"2019","unstructured":"Burston JJ, Valdes AM, Woodhams SG, Mapp PI, Stocks J, Watson DJG, et al. The impact of anxiety on chronic musculoskeletal pain and the role of astrocyte activation. Pain. 2019;160(3):658\u201369.","journal-title":"Pain"},{"key":"3435_CR105","doi-asserted-by":"crossref","unstructured":"Georgopoulos V, Smith S, McWilliams DF, Steultjens MPM, Williams A, Price A, et al. Harmonising knee pain patient-reported outcomes: a systematic literature review and meta-analysis of patient acceptable symptom state (PASS) and individual participant data (IPD). Osteoarthritis Cartilage. 2022.","DOI":"10.1016\/j.joca.2022.08.011"},{"issue":"6464","key":"3435_CR106","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1126\/science.aax2342","volume":"366","author":"Z Obermeyer","year":"2019","unstructured":"Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447\u201353.","journal-title":"Science"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12911-026-03435-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-026-03435-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-026-03435-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T03:43:59Z","timestamp":1777002239000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12911-026-03435-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,17]]},"references-count":106,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["3435"],"URL":"https:\/\/doi.org\/10.1186\/s12911-026-03435-y","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,17]]},"assertion":[{"value":"25 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Ethics approval has been obtained from the Maccabi Institutional Review Board (IRB, The Institutional Review Board | \u05d4\u05de\u05d6\u05db\u05d9\u05e8\u05d5\u05ea \u05d4\u05d0\u05e7\u05d3\u05de\u05d9\u05ea | \u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, last accessed March 5 2025) (ref. MHS-0126-22). Informed consent to participate was waived due to the retrospective and anonymized nature of the study. The study followed applicable law, good clinical practice and the tenets of the Declaration of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"Franziska Saxer is employee and shareholder of Novartis, she is affiliated to the University Basel and member of the European Union Medical Devices - Expert Panel section Orthopaedics, traumatology, rehabilitation, rheumatology. David Demanse is employee and shareholder of Novartis. Sivan Gazit and Tal Patalon do not have no competing interests. Matthias Schieker is employee and shareholder of Novartis, he is affiliated to LMU Munich and owner of LivImplant GmbH.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"141"}}