Comparison of several survey-based algorithms to ascertain type 1 diabetes among US adults with self-reported diabetes.

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Bibliographic Details
Title: Comparison of several survey-based algorithms to ascertain type 1 diabetes among US adults with self-reported diabetes.
Authors: Casagrande SS; Social & Scientific Systems, Public Health Research, Silver Spring, Maryland, USA scasagrande@s-3.com., Lessem SE; Division of Health Interview Statistics, National Center for Health Statistics, Hyattsville, Maryland, USA., Orchard TJ; Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Bullard KM; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Geiss LS; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Saydah SH; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Menke A; Social & Scientific Systems, Public Health Research, Silver Spring, Maryland, USA., Imperatore G; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Rust KF; Westat, Rockville, Maryland, USA., Cowie CC; National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Source: BMJ open diabetes research & care [BMJ Open Diabetes Res Care] 2020 Dec; Vol. 8 (2).
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Published by BMJ in partnership with the American Diabetes Association Country of Publication: England NLM ID: 101641391 Publication Model: Print Cited Medium: Internet ISSN: 2052-4897 (Electronic) Linking ISSN: 20524897 NLM ISO Abbreviation: BMJ Open Diabetes Res Care Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4897
DOI:10.1136/bmjdrc-2020-001917