Updating and calibrating the Real‐World Progression In Diabetes (RAPIDS) model in a non‐Veterans Affairs population

The RAPIDS 2.0 model demonstrated valid long-term predictions of outcomes in individuals with T2DM in the United States as a function of dynamic sequences of treatment use patterns. This highlights its potential to project long-term comparative effectiveness between alternative sequences of glucose-lowering treatment uses in the United States.

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Publication Details

Journal
Diabetes Obesity and Metabolism
Published
2024-09-02
DOI
https://doi.org/10.1111/dom.15878
Citations
1
Primary Topic
Diabetes Treatment and Management
Type
article
Field-Weighted Citation Impact
0.36
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article

Updating and calibrating the Real‐World Progression In Diabetes (RAPIDS) model in a non‐Veterans Affairs population

Neda Laiteerapong, Anirban Basu, Elbert S. Huang, Douglas Barthold et al.
1 citations
Diabetes Obesity and Metabolism
Diabetes Treatment and Management
0.36
article

Updating and calibrating the Real‐World Progression In Diabetes (RAPIDS) model in a non‐Veterans Affairs population

Neda Laiteerapong, Anirban Basu, Elbert S. Huang, Douglas Barthold, Felipe Montano‐Campos
article en
1 citations

Abstract

The RAPIDS 2.0 model demonstrated valid long-term predictions of outcomes in individuals with T2DM in the United States as a function of dynamic sequences of treatment use patterns. This highlights its potential to project long-term comparative effectiveness between alternative sequences of glucose-lowering treatment uses in the United States.

Diabetes Obesity and MetabolismVol. 26(11)
University of Washington (US), University of Chicago (US)
Good health and well-being
Openalex Percentile: Top 34%
Diabetes Treatment and Management
0.36
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