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Follow-Up Assessment of Adherence to Methodological Standards in National Inpatient Sample Research.

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Title: Follow-Up Assessment of Adherence to Methodological Standards in National Inpatient Sample Research.
Authors: Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Pedroso AF; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Aminorroaya A; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Caraballo C; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut., Mahajan S; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut., Bansal B; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas., Krumholz HM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Source: JAMA network open [JAMA Netw Open] 2026 Jan 02; Vol. 9 (1), pp. e2555753. Date of Electronic Publication: 2026 Jan 02.
Publication Type: Journal Article
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Dhingra+LS%22">Dhingra LS</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Pedroso+AF%22">Pedroso AF</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Aminorroaya+A%22">Aminorroaya A</searchLink>; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Caraballo+C%22">Caraballo C</searchLink>; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Mahajan+S%22">Mahajan S</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Bansal+B%22">Bansal B</searchLink>; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.<br /><searchLink fieldCode="AU" term="%22Krumholz+HM%22">Krumholz HM</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Khera+R%22">Khera R</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
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              Text: 2026 Jan 02
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