Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis

Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis

Abstract Background Evidence to guide type 2 diabetes treatment individualization is limited. We evaluated heterogeneous treatment effects (HTE) of intensive glycemic control in type 2 diabetes patients on major adverse cardiovascular events (MACE) in the Action to Control Cardiovascular Risk in Dia...

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Bibliographic Details
Main Authors: Justin A. Edward, Kevin Josey, Gideon Bahn, Liron Caplan, Jane E. B. Reusch, Peter Reaven, Debashis Ghosh, Sridharan Raghavan
Format: Article
Language:English
Published: BMC 2022-04-01
Series:Cardiovascular Diabetology
Subjects:
Machine learning
Glycemic control
Subgroup effects
Heterogeneity
Type 2 diabetes
Online Access:https://doi.org/10.1186/s12933-022-01496-7

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