Fiche publication
Date publication
mai 2022
Journal
BMC medical research methodology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DE SEZE Jérôme
Tous les auteurs :
Lefort M, Sharmin S, Andersen JB, Vukusic S, Casey R, Debouverie M, Edan G, Ciron J, Ruet A, De Sèze J, Maillart E, Zephir H, Labauge P, Defer G, Lebrun-Frenay C, Moreau T, Berger E, Clavelou P, Pelletier J, Stankoff B, Gout O, Thouvenot E, Heinzlef O, Al-Khedr A, Bourre B, Casez O, Cabre P, Montcuquet A, Wahab A, Camdessanché JP, Maurousset A, Ben Nasr H, Hankiewicz K, Pottier C, Maubeuge N, Dimitri-Boulos D, Nifle C, Laplaud DA, Horakova D, Havrdova EK, Alroughani R, Izquierdo G, Eichau S, Ozakbas S, Patti F, Onofrj M, Lugaresi A, Terzi M, Grammond P, Grand'Maison F, Yamout B, Prat A, Girard M, Duquette P, Boz C, Trojano M, McCombe P, Slee M, Lechner-Scott J, Turkoglu R, Sola P, Ferraro D, Granella F, Shaygannejad V, Prevost J, Maimone D, Skibina O, Buzzard K, Van der Walt A, Karabudak R, Van Wijmeersch B, Csepany T, Spitaleri D, Vucic S, Koch-Henriksen N, Sellebjerg F, Soerensen PS, Hilt Christensen CC, Rasmussen PV, Jensen MB, Frederiksen JL, Bramow S, Mathiesen HK, Schreiber KI, Butzkueven H, Magyari M, Kalincik T, Leray E
Lien Pubmed
Résumé
Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies.
Mots clés
Causal contrasts, Censoring, Effectiveness, Indication bias, Multiple sclerosis, Positivity assumption, Propensity score
Référence
BMC Med Res Methodol. 2022 05 30;22(1):155