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Risk stratification at prediabetes onset and association with diabetes outcomes using EHR data.

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Title: Risk stratification at prediabetes onset and association with diabetes outcomes using EHR data.
Authors: Luo J; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., Hu D; Donald Bren School of Information and Computer Sciences, University of California Irvine, Irvine, CA, USA., Han R; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA., Lyu D; MedStar Health, Columbia, MD, USA., Agarwal R; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA., Mathioudakis N; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., El-Bayoumi J; Georgetown University and MedStar, Washington, DC, USA., Gao G; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA. gordon.gao@jhu.edu., Shara N; MedStar Health, Columbia, MD, USA.
Source: Npj metabolic health and disease [NPJ Metab Health Dis] 2025 Dec 17; Vol. 3 (1), pp. 48. Date of Electronic Publication: 2025 Dec 17.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918751588706676 Publication Model: Electronic Cited Medium: Internet ISSN: 2948-2828 (Electronic) Linking ISSN: 29482828 NLM ISO Abbreviation: NPJ Metab Health Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Luo+J%22">Luo J</searchLink>; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Hu+D%22">Hu D</searchLink>; Donald Bren School of Information and Computer Sciences, University of California Irvine, Irvine, CA, USA.<br /><searchLink fieldCode="AU" term="%22Han+R%22">Han R</searchLink>; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Lyu+D%22">Lyu D</searchLink>; MedStar Health, Columbia, MD, USA.<br /><searchLink fieldCode="AU" term="%22Agarwal+R%22">Agarwal R</searchLink>; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Mathioudakis+N%22">Mathioudakis N</searchLink>; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22El-Bayoumi+J%22">El-Bayoumi J</searchLink>; Georgetown University and MedStar, Washington, DC, USA.<br /><searchLink fieldCode="AU" term="%22Gao+G%22">Gao G</searchLink>; Center for Digital Health and AI, Johns Hopkins University, Baltimore, MD, USA. gordon.gao@jhu.edu.<br /><searchLink fieldCode="AU" term="%22Shara+N%22">Shara N</searchLink>; MedStar Health, Columbia, MD, USA.
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  Data: <searchLink fieldCode="JN" term="%229918751588706676%22">Npj metabolic health and disease</searchLink> [NPJ Metab Health Dis] 2025 Dec 17; Vol. 3 (1), pp. 48. <i>Date of Electronic Publication: </i>2025 Dec 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Portfolio%22">Nature Portfolio </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918751588706676 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2828 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482828%22">29482828 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Metab Health Dis <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1038/s44324-025-00091-0
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              Text: 2025 Dec 17
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