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High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV.

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Title: High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV.
Authors: McGinnis KA; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA., Justice AC; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.; School of Public Health, Yale School of Medicine, New Haven, Connecticut, USA., Bailin S; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Wellons M; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Freiberg M; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA., Koethe JR; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
Source: Pharmacoepidemiology and drug safety [Pharmacoepidemiol Drug Saf] 2020 Nov; Vol. 29 (11), pp. 1432-1439. Date of Electronic Publication: 2020 Oct 01.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 9208369 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1557 (Electronic) Linking ISSN: 10538569 NLM ISO Abbreviation: Pharmacoepidemiol Drug Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV.
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  Data: <searchLink fieldCode="AU" term="%22McGinnis+KA%22">McGinnis KA</searchLink>; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.<br /><searchLink fieldCode="AU" term="%22Justice+AC%22">Justice AC</searchLink>; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.; School of Public Health, Yale School of Medicine, New Haven, Connecticut, USA.<br /><searchLink fieldCode="AU" term="%22Bailin+S%22">Bailin S</searchLink>; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Wellons+M%22">Wellons M</searchLink>; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Freiberg+M%22">Freiberg M</searchLink>; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Koethe+JR%22">Koethe JR</searchLink>; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
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  Data: <searchLink fieldCode="JN" term="%229208369%22">Pharmacoepidemiology and drug safety</searchLink> [Pharmacoepidemiol Drug Saf] 2020 Nov; Vol. 29 (11), pp. 1432-1439. <i>Date of Electronic Publication: </i>2020 Oct 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9208369 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1099-1557 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210538569%22">10538569 </searchLink><i>NLM ISO Abbreviation: </i>Pharmacoepidemiol Drug Saf <i>Subsets: </i>MEDLINE
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        Value: 10.1002/pds.5111
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        Text: English
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      – TitleFull: High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV.
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            NameFull: Justice AC
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              Text: 2020 Nov
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