Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Pat...
Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients
About this item
Full title
Author / Creator
Bielinski, Suzette J , Yanes Cardozo, Licy L , Takahashi, Paul Y , Larson, Nicholas B , Castillo, Alexandra , Podwika, Alana , De Filippis, Eleanna , Hernandez, Valentina , Mahajan, Gouri J , Gonzalez, Crystal , Shubhangi , Decker, Paul A , Killian, Jill M , Olson, Janet E , St. Sauver, Jennifer L , Shah, Pankaj , Vella, Adrian , Ryu, Euijung , Liu, Hongfang , Marshall, Gailen D , Cerhan, James R , Singh, Davinder and Summers, Richard L
Publisher
US: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
US: Oxford University Press
Subjects
More information
Scope and Contents
Contents
Abstract
Context
Metformin is the first-line drug for treating diabetes but has a high failure rate.
Objective
To identify demographic and clinical factors available in the electronic health record (EHR) that predict metformin failure.
Methods
A cohort of patients with at least 1 abnormal diabetes screening test that initiated met...
Alternative Titles
Full title
Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients
Authors, Artists and Contributors
Author / Creator
Yanes Cardozo, Licy L
Takahashi, Paul Y
Larson, Nicholas B
Castillo, Alexandra
Podwika, Alana
De Filippis, Eleanna
Hernandez, Valentina
Mahajan, Gouri J
Gonzalez, Crystal
Shubhangi
Decker, Paul A
Killian, Jill M
Olson, Janet E
St. Sauver, Jennifer L
Shah, Pankaj
Vella, Adrian
Ryu, Euijung
Liu, Hongfang
Marshall, Gailen D
Cerhan, James R
Singh, Davinder
Summers, Richard L
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10271218
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10271218
Other Identifiers
ISSN
0021-972X
E-ISSN
1945-7197
DOI
10.1210/clinem/dgac759
