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Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study

Published Online: 2024-12-18

Authors

Casacchia, Nicholas J.

Lenoir, Kristin M.

Rigdon, Joseph

Wells, Brian J.
Funding

Funding for this research was provided by:

National Center for Advancing Translational Sciences (TL1TR003136)

National Center for Advancing Translational Sciences (UL1TR001420)

National Center for Advancing Translational Sciences (UL1TR001420)

National Center for Advancing Translational Sciences (UL1TR001420)
License Information

Text and Data Mining valid from 2024-12-18

Version of Record valid from 2024-12-18
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Article History

Received: 18 February 2023

Accepted: 3 December 2024

First Online: 18 December 2024

Declarations

:

: The Wake Forest University Health Sciences institutional review board approved this study and waived informed consent (IRB00031798).All methods were conducted in accordance with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD + AI) checklist (Additional File ).

: Not applicable.

: The authors declare no competing interests.

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