Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning

Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning

Background: Type 2 diabetes elevates the risk of severe outcomes in COVID-19 patients, with multiple studies reporting higher case fatality rates. Metformin is a widely used medication for glycemic management. We hypothesize that improved adherence to metformin may lower COVID-19 post-infection mort...

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Bibliographic Details
Main Authors: Sky Qiu, Alan E. Hubbard, Juan Pablo Gutiérrez, Ganesh Pimpale, Arturo Juárez-Flores, Rakesh Ghosh, Iván de Jesús Ascencio-Montiel, Stefano M. Bertozzi
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Global Epidemiology
Online Access:http://www.sciencedirect.com/science/article/pii/S2590113324000087

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http://www.sciencedirect.com/science/article/pii/S2590113324000087

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