Identifying optimal survey-based algorithms to distinguish diabetes type among adults with diabetes

OBJECTIVES: Surveys for U.S. diabetes surveillance do not reliably distinguish between type 1 and type 2 diabetes, potentially obscuring trends in type 1 among adults. To validate survey-based algorithms for distinguishing diabetes type, we linked survey data collected from adult patients with diabe...

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Detalles Bibliográficos
Autores principales: Nooney, Jennifer G., Kirkman, M. Sue, Bullard, Kai McKeever, White, Zachary, Meadows, Kristi, Campione, Joanne R., Mardon, Russ, Rivero, Gonzalo, Benoit, Stephen R., Pfaff, Emily, Rolka, Deborah, Saydah, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365930/
https://www.ncbi.nlm.nih.gov/pubmed/32695611
http://dx.doi.org/10.1016/j.jcte.2020.100231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365930/
https://www.ncbi.nlm.nih.gov/pubmed/32695611
http://dx.doi.org/10.1016/j.jcte.2020.100231

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