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