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Optimizing the analysis strategy for the CANVAS Program: A prespecified plan for the integrated analyses of the CANVAS and CANVAS‐R trials
Author(s) -
Neal Bruce,
Perkovic Vlado,
Mahaffey Kenneth W.,
Fulcher Greg,
Erondu Ngozi,
Desai Mehul,
Shaw Wayne,
Law Gordon,
Walton Marc K.,
Rosenthal Norm,
de Zeeuw Dick,
Matthews David R.
Publication year - 2017
Publication title -
diabetes, obesity and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.445
H-Index - 128
eISSN - 1463-1326
pISSN - 1462-8902
DOI - 10.1111/dom.12924
Subject(s) - canagliflozin , computer science , medicine , type 2 diabetes , diabetes mellitus , endocrinology
Two large cardiovascular outcome trials of canagliflozin, comprising the CANVAS Program, will complete in early 2017: the CANagliflozin cardioVascular A ssessment S tudy ( CANVAS ) and the CANagliflozin cardioVascular A ssessment S tudy– R enal ( CANVAS‐R ). Accruing data for the sodium glucose co‐transporter 2 ( SGLT2 ) inhibitor class has identified questions and opportunities that were not apparent when the trials were designed. Accordingly, a series of modifications have been made to the planned analyses. These updates will ensure that the data from the CANVAS Program will maximize advances in scientific knowledge and patient care. The specification of the analysis strategy prior to knowledge of the trial results, their design by the independent scientific trial S teering C ommittee, the detailed a priori definition of the analysis plans, and the external review provided by the US F ood and D rug A dministration all provide maximally efficient and robust utilization of the data. The CANVAS Program should significantly advance our understanding of the effects of canagliflozin, and the broader SGLT2 inhibitor class, on a range of important efficacy and safety outcomes.