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Optum Inc
us optum de identified electronic health record data set ![]() Us Optum De Identified Electronic Health Record Data Set, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/us+optum+de+identified+electronic+health+record+dataset/electronic+health+records/pmc12317948-53-86-87 Average 86 stars, based on 1 article reviews
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Optum Inc
us optum de identified electronic health record dataset ![]() Us Optum De Identified Electronic Health Record Dataset, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/us+optum+de+identified+electronic+health+record+dataset/ehr+optum/pmc13267428-167-34-35 Average 86 stars, based on 1 article reviews
us optum de identified electronic health record dataset - by Bioz Stars,
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Optum Inc
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Image Search Results
Journal: Diabetes Therapy
Article Title: Outcomes in New User Cohorts of SGLT2 Inhibitors or GLP-1 Receptor Agonists with Type 2 Diabetes and Chronic Kidney Disease
doi: 10.1007/s13300-025-01750-7
Figure Lengend Snippet: Outcomes: Optum ® EHR. a Incidence rates of primary outcomes, SGLT2i cohort. b Cumulative incidence of secondary outcomes, SGLT2i cohort. c Incidence rates of primary outcomes, GLP-1 RA cohort. d Cumulative incidence of secondary outcomes, GLP-1 RA cohort. CI confidence internal, eGFR estimated glomerular filtration rate, GLP-1 RA glucagon-like peptide-1 receptor agonists, IR incidence rate, Optum® EHR Optum ® de-identified Electronic Health Record data set, SGLT2i sodium-glucose cotransporter 2 inhibitors
Article Snippet: This was a multidatabase, multinational cohort study aiming to describe the incidence of cardiorenal events in separate, non-mutually exclusive cohorts of patients with both CKD and T2D initiating therapy with either an SGLT2i or GLP-1 RA using secondary data from four participating data sources: two population-based data sources in Europe (Danish National Health Registers [DNHR] and Valencia Health System Integrated Database [VID] in Spain); one hospital-based CKD registry in Japan (Japan Chronic Kidney Disease Database Extension [J-CKD-DB-Ex]); and one electronic health record (EHR) database in the
Techniques: Filtration