Machine learning assessment of vildagliptin and linagliptin effectiveness in type 2 diabetes: Predictors of glycemic control

Linagliptin effectively lowers HbA1c levels more than vildagliptin including in patients with comorbidities. DPP4-I choice is a constant predictor of HbA1c in all models.

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Journal
PLoS ONE
Published
2024-08-26
DOI
https://doi.org/10.1371/journal.pone.0309365
Primary Topic
Diabetes Treatment and Management
Type
article
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article

Machine learning assessment of vildagliptin and linagliptin effectiveness in type 2 diabetes: Predictors of glycemic control

Loai M. Saadah, Khawla Abu Hammour, Rana Kamal Abu Farha, Hanin A. Esaifan
9 links
PLoS ONE
Diabetes Treatment and Management
article

Machine learning assessment of vildagliptin and linagliptin effectiveness in type 2 diabetes: Predictors of glycemic control

Loai M. Saadah, Khawla Abu Hammour, Rana Kamal Abu Farha, Hanin A. Esaifan
article en

Abstract

Linagliptin effectively lowers HbA1c levels more than vildagliptin including in patients with comorbidities. DPP4-I choice is a constant predictor of HbA1c in all models.

PLoS ONEVol. 19(8)
University of Jordan (JO), Applied Science Private University (JO)
Quality Education
Openalex Percentile: Top 79%
Diabetes Treatment and Management
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