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

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