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Network Meta-Analysis of Ulcerative Colitis Pharmacotherapies: Carryover Effects from Induction and Bias of the Results

dc.contributor.authorNaessens, Dominik
dc.contributor.authorCameron, Chris
dc.contributor.authorHoaglin, David C.
dc.date2022-08-11T08:09:57.000
dc.date.accessioned2022-08-23T16:50:10Z
dc.date.available2022-08-23T16:50:10Z
dc.date.issued2020-10-13
dc.date.submitted2020-11-30
dc.identifier.citation<p>Naessens D, Cameron C, Hoaglin DC. Network Meta-Analysis of Ulcerative Colitis Pharmacotherapies: Carryover Effects from Induction and Bias of the Results. Clin Gastroenterol Hepatol. 2020 Oct 13:S1542-3565(20)31428-2. doi: 10.1016/j.cgh.2020.10.016. Epub ahead of print. PMID: 33065309. <a href="https://doi.org/10.1016/j.cgh.2020.10.016">Link to article on publisher's site</a></p>
dc.identifier.issn1542-3565 (Linking)
dc.identifier.doi10.1016/j.cgh.2020.10.016
dc.identifier.pmid33065309
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41609
dc.description.abstractDear Editor, In their network meta-analyses (NMAs) of treatments for ulcerative colitis (UC), Singh et al1 did not take into account a complication associated with studies that re-randomized patients for the maintenance phase: differential carryover effects from induction can bias the results. In those studies, patients who responded to induction were re-randomized to maintenance treatments that included placebo. If, however, carryover effects from induction differ substantially among active treatments, the effects of those treatments, relative to placebo, are not comparable.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=33065309&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© 2020 by the AGA Institute. This article is available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectUlcerative Colitis
dc.subjecttreatment
dc.subjectnetwork meta-analyses
dc.subjectpharmacotherapies
dc.subjectDigestive System Diseases
dc.subjectGastroenterology
dc.subjectResearch Methods in Life Sciences
dc.subjectTherapeutics
dc.titleNetwork Meta-Analysis of Ulcerative Colitis Pharmacotherapies: Carryover Effects from Induction and Bias of the Results
dc.typeLetter to the Editor
dc.source.journaltitleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=5427&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/4398
dc.identifier.contextkey20344429
refterms.dateFOA2022-08-23T16:50:11Z
html.description.abstract<p>Dear Editor, In their network meta-analyses (NMAs) of treatments for ulcerative colitis (UC), Singh et al1 did not take into account a complication associated with studies that re-randomized patients for the maintenance phase: differential carryover effects from induction can bias the results. In those studies, patients who responded to induction were re-randomized to maintenance treatments that included placebo. If, however, carryover effects from induction differ substantially among active treatments, the effects of those treatments, relative to placebo, are not comparable.</p>
dc.identifier.submissionpathoapubs/4398
dc.contributor.departmentDepartment of Population and Quantitative Health Sciences


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© 2020 by the AGA Institute. This article is available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
Except where otherwise noted, this item's license is described as © 2020 by the AGA Institute. This article is available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.