Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort.

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Title: Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort.
Authors: Lewis AA; Department of Biomedical Data Science Stanford University Stanford CA USA., Bacong AM; Department of Medicine, Division of Cardiovascular Medicine Stanford University School of Medicine Palo Alto CA USA.; Center for Asian Health Research and Education Stanford University Stanford CA USA., Palaniappan L; Department of Medicine, Division of Cardiovascular Medicine Stanford University School of Medicine Palo Alto CA USA., Hernandez-Boussard T; Department of Biomedical Data Science Stanford University Stanford CA USA.; Department of Medicine, Biomedical Informatics Research Stanford University Stanford CA USA.
Source: Journal of the American Heart Association [J Am Heart Assoc] 2025 Sep 16; Vol. 14 (18), pp. e041549. Date of Electronic Publication: 2025 Sep 11.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort.
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  Data: <searchLink fieldCode="AU" term="%22Lewis+AA%22">Lewis AA</searchLink>; Department of Biomedical Data Science Stanford University Stanford CA USA.<br /><searchLink fieldCode="AU" term="%22Bacong+AM%22">Bacong AM</searchLink>; Department of Medicine, Division of Cardiovascular Medicine Stanford University School of Medicine Palo Alto CA USA.; Center for Asian Health Research and Education Stanford University Stanford CA USA.<br /><searchLink fieldCode="AU" term="%22Palaniappan+L%22">Palaniappan L</searchLink>; Department of Medicine, Division of Cardiovascular Medicine Stanford University School of Medicine Palo Alto CA USA.<br /><searchLink fieldCode="AU" term="%22Hernandez-Boussard+T%22">Hernandez-Boussard T</searchLink>; Department of Biomedical Data Science Stanford University Stanford CA USA.; Department of Medicine, Biomedical Informatics Research Stanford University Stanford CA USA.
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  Data: <searchLink fieldCode="JN" term="%22101580524%22">Journal of the American Heart Association</searchLink> [J Am Heart Assoc] 2025 Sep 16; Vol. 14 (18), pp. e041549. <i>Date of Electronic Publication: </i>2025 Sep 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101580524 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2047-9980 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220479980%22">20479980 </searchLink><i>NLM ISO Abbreviation: </i>J Am Heart Assoc <i>Subsets: </i>MEDLINE
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        Value: 10.1161/JAHA.125.041549
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      – Code: eng
        Text: English
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        StartPage: e041549
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      – TitleFull: Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort.
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            – D: 16
              M: 09
              Text: 2025 Sep 16
              Type: published
              Y: 2025
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