TY - CONF
T1 - Evaluating hip morphology based radiographic hip osteoartrhitis risk prediction models on new populations: data of the world coach consortium
AU - Berg, Myrthe A. van den
AU - Boel, Fleur
AU - Buuren, Michiel M. van
AU - Riedstra, Noortje S.
AU - Tang, Jinchi
AU - Ahedi, Harbeer
AU - Arbabi, Vahid
AU - Arden, Nigel
AU - Bierma-Zeinstra, Sita
AU - Boer, Cindy
AU - Cicuttini, Flavia
AU - Cootes, Timothy F.
AU - Crossley, Kay M.
AU - Felson, David
AU - Giellis, Willem Paul
AU - Heerey, Josh
AU - Jones, Graeme
AU - Kluzek, Stefan
AU - Lane, Nancy E.
AU - Lindner, Claudia
AU - Lynch, John A.
AU - Meurs, Joyce v.
AU - Mosler, Andrea
AU - Nelson, Amanda E.
AU - Nevitt, Michael
AU - Oei, Edwin
AU - Runhaar, Jos
AU - Weinans, Harrie
AU - Krijthe, Jesse
AU - Agricola, Rintje
PY - 2024/4
Y1 - 2024/4
N2 - Purpose (the aim of the study): Despite the growing burden of hip osteoarthritis (HOA), primary prevention methods are slowly emerging. Early identification of HOA is crucial in enhancing our understanding of HOA development and treatment options. Several hip morphology risk factors play a role during the development of radiographic HOA (RHOA), but the exact contribution to RHOA risk in a broad population remains unclear. By combining individual participant data (IPD) of various studies while considering study heterogeneity, novel modeling techniques could be explored to work towards individualized prediction models. This study aimed to evaluate the predictive performance of several hip morphology based RHOA risk prediction models built on multi-cohort datasets.
AB - Purpose (the aim of the study): Despite the growing burden of hip osteoarthritis (HOA), primary prevention methods are slowly emerging. Early identification of HOA is crucial in enhancing our understanding of HOA development and treatment options. Several hip morphology risk factors play a role during the development of radiographic HOA (RHOA), but the exact contribution to RHOA risk in a broad population remains unclear. By combining individual participant data (IPD) of various studies while considering study heterogeneity, novel modeling techniques could be explored to work towards individualized prediction models. This study aimed to evaluate the predictive performance of several hip morphology based RHOA risk prediction models built on multi-cohort datasets.
UR - http://dx.doi.org/10.1016/j.joca.2024.02.105
U2 - 10.1016/j.joca.2024.02.105
DO - 10.1016/j.joca.2024.02.105
M3 - Abstract
ER -