<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>22(1)</volume><submitter>Lefort M</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire</pubmed_abstract><journal>BMC medical research methodology</journal><pagination>155</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9150358</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis.</pubmed_title><pmcid>PMC9150358</pmcid><pubmed_authors>Labauge P</pubmed_authors><pubmed_authors>Alroughani R</pubmed_authors><pubmed_authors>Heinzlef O</pubmed_authors><pubmed_authors>Slee M</pubmed_authors><pubmed_authors>Kalincik T</pubmed_authors><pubmed_authors>Jensen MB</pubmed_authors><pubmed_authors>Debouverie M</pubmed_authors><pubmed_authors>Moreau T</pubmed_authors><pubmed_authors>Karabudak R</pubmed_authors><pubmed_authors>Magyari M</pubmed_authors><pubmed_authors>Sola P</pubmed_authors><pubmed_authors>Casez O</pubmed_authors><pubmed_authors>Vucic S</pubmed_authors><pubmed_authors>Yamout B</pubmed_authors><pubmed_authors>Shaygannejad V</pubmed_authors><pubmed_authors>Andersen JB</pubmed_authors><pubmed_authors>Maimone D</pubmed_authors><pubmed_authors>Koch-Henriksen N</pubmed_authors><pubmed_authors>Vukusic S</pubmed_authors><pubmed_authors>Hankiewicz K</pubmed_authors><pubmed_authors>Maurousset A</pubmed_authors><pubmed_authors>Lugaresi A</pubmed_authors><pubmed_authors>Van Wijmeersch B</pubmed_authors><pubmed_authors>Zephir H</pubmed_authors><pubmed_authors>Ciron J</pubmed_authors><pubmed_authors>McCombe P</pubmed_authors><pubmed_authors>Thouvenot E</pubmed_authors><pubmed_authors>Lefort M</pubmed_authors><pubmed_authors>Havrdova EK</pubmed_authors><pubmed_authors>Ozakbas S</pubmed_authors><pubmed_authors>Soerensen PS</pubmed_authors><pubmed_authors>Cabre P</pubmed_authors><pubmed_authors>Maillart E</pubmed_authors><pubmed_authors>Buzzard K</pubmed_authors><pubmed_authors>Ferraro D</pubmed_authors><pubmed_authors>Berger E</pubmed_authors><pubmed_authors>Schreiber KI</pubmed_authors><pubmed_authors>Pelletier J</pubmed_authors><pubmed_authors>Camdessanche JP</pubmed_authors><pubmed_authors>Clavelou P</pubmed_authors><pubmed_authors>Maubeuge N</pubmed_authors><pubmed_authors>Defer G</pubmed_authors><pubmed_authors>Dimitri-Boulos D</pubmed_authors><pubmed_authors>Pottier C</pubmed_authors><pubmed_authors>Duquette P</pubmed_authors><pubmed_authors>Edan G</pubmed_authors><pubmed_authors>Grammond P</pubmed_authors><pubmed_authors>Stankoff B</pubmed_authors><pubmed_authors>Prat A</pubmed_authors><pubmed_authors>Montcuquet A</pubmed_authors><pubmed_authors>Turkoglu R</pubmed_authors><pubmed_authors>Boz C</pubmed_authors><pubmed_authors>Horakova D</pubmed_authors><pubmed_authors>Csepany T</pubmed_authors><pubmed_authors>Trojano M</pubmed_authors><pubmed_authors>Patti F</pubmed_authors><pubmed_authors>Casey R</pubmed_authors><pubmed_authors>De Seze J</pubmed_authors><pubmed_authors>Mathiesen HK</pubmed_authors><pubmed_authors>Frederiksen JL</pubmed_authors><pubmed_authors>Rasmussen PV</pubmed_authors><pubmed_authors>Lechner-Scott J</pubmed_authors><pubmed_authors>Bourre B</pubmed_authors><pubmed_authors>Onofrj M</pubmed_authors><pubmed_authors>Spitaleri D</pubmed_authors><pubmed_authors>Izquierdo G</pubmed_authors><pubmed_authors>Hilt Christensen CC</pubmed_authors><pubmed_authors>Nifle C</pubmed_authors><pubmed_authors>Eichau S</pubmed_authors><pubmed_authors>Girard M</pubmed_authors><pubmed_authors>Grand'Maison F</pubmed_authors><pubmed_authors>Skibina O</pubmed_authors><pubmed_authors>Sellebjerg F</pubmed_authors><pubmed_authors>Lebrun-Frenay C</pubmed_authors><pubmed_authors>Wahab A</pubmed_authors><pubmed_authors>Prevost J</pubmed_authors><pubmed_authors>Gout O</pubmed_authors><pubmed_authors>Granella F</pubmed_authors><pubmed_authors>Van der Walt A</pubmed_authors><pubmed_authors>Butzkueven H</pubmed_authors><pubmed_authors>Ben Nasr H</pubmed_authors><pubmed_authors>Leray E</pubmed_authors><pubmed_authors>Al-Khedr A</pubmed_authors><pubmed_authors>Terzi M</pubmed_authors><pubmed_authors>Bramow S</pubmed_authors><pubmed_authors>Laplaud DA</pubmed_authors><pubmed_authors>Ruet A</pubmed_authors><pubmed_authors>Sharmin S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2025-04-04T09:41:35.839Z</modification><creation>2025-04-04T09:41:35.839Z</creation></dates><accession>S-EPMC9150358</accession><cross_references><pubmed>35637426</pubmed><doi>10.1186/s12874-022-01623-8</doi></cross_references></HashMap>