Non-lab and semi-lab algorithms for screening undiagnosed diabetes: A cross-sectional study

BACKGROUND: The terrifying undiagnosed rate and high prevalence of diabetes have become a public emergency. A high efficiency and cost-effective early recognition method is urgently needed. We aimed to generate innovative, user-friendly nomograms that can be applied for diabetes screening in differe...

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Detalles Bibliográficos
Autores principales: Li, Wei, Xie, Bo, Qiu, Shanhu, Huang, Xin, Chen, Juan, Wang, Xinling, Li, Hong, Chen, Qingyun, Wang, Qing, Tu, Ping, Zhang, Lihui, Yan, Sunjie, Li, Kaili, Maimaitiming, Jimilanmu, Nian, Xin, Liang, Min, Wen, Yan, Liu, Jiang, Wang, Mian, Zhang, Yongze, Ma, Li, Wu, Hang, Wang, Xuyi, Wang, Xiaohang, Liu, Jingbao, Cai, Min, wang, Zhiyao, Guo, Lin, Chen, Fangqun, Wang, Bei, Monica, Sandberg, Carlsson, Per-Ola, Sun, Zilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154869/
https://www.ncbi.nlm.nih.gov/pubmed/30115607
http://dx.doi.org/10.1016/j.ebiom.2018.08.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154869/
https://www.ncbi.nlm.nih.gov/pubmed/30115607
http://dx.doi.org/10.1016/j.ebiom.2018.08.009

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