Title: Response to Faerch and Vistisen. Is it possible to develop a ‘one‐size fits all’ prediction model for undiagnosed Type 2 diabetes?
Abstract: Diabetic MedicineVolume 31, Issue 1 p. 117-118 Letter Response to Faerch and Vistisen. Is it possible to develop a ‘one-size fits all’ prediction model for undiagnosed Type 2 diabetes? X. Qi, X. Qi Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversitySearch for more papers by this authorZ. Xu, Z. Xu [email protected] Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University Tianjin Center of Disease Control and Prevention, Tianjin, ChinaSearch for more papers by this authorW. Xu, W. Xu Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, SwedenSearch for more papers by this author X. Qi, X. Qi Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversitySearch for more papers by this authorZ. Xu, Z. Xu [email protected] Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University Tianjin Center of Disease Control and Prevention, Tianjin, ChinaSearch for more papers by this authorW. Xu, W. Xu Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, SwedenSearch for more papers by this author First published: 03 August 2013 https://doi.org/10.1111/dme.12291Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. References 1Xu Z, Qi X, Dalh A, Xu W. Waist-to-height ratio is the best indicator for undiagnosed Type 2 diabetes. Diabet Med 2013; 30: e201– e207. 2Qi X, Sun J, Wang J, Wang PP, Xu Z, Murphy M, et al. Prevalence and correlates of latent autoimmune diabetes in adults in Tianjin, China: a population-based cross-sectional study. Diabetes Care 2011; 34: 66– 70. 3Xu W, Xu Z, Jia J, Xie Y, Wang H-X, Qi X. Detection of pre-diabetes and undiagnosed Type 2 diabetes: a large population-based study. Can J Diabetes 2012; 36: 108– 113. 4 Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 2003; 26: S5– 20. 5Jia WP, Pang C, Chen L, Bao YQ, Lu JX, Lu HJ, et al. Epidemiological characteristics of diabetes mellitus and impaired glucose regulation in a Chinese adult population: the Shanghai Diabetes Studies, a cross-sectional 3-year follow-up study in Shanghai urban communities. Diabetologia. 2007; 50: 286– 292. 6Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, et al. Prevalence of diabetes among men and women in China. N Engl J Med. 2010; 362: 1090– 1101. 7 World Health Organization. Definition, Diagnosis and Classification of Diabetes Mellitus and its Complications: Report of a WHO Consultation. Part 1. Diagnosis and Classification of Diabetes Mellitus. Geneva: Department of Noncommunicable Disease Surveillance, WHO,1999. Available at http://www.staff.ncl.ac.uk/philip.home/who_dmg.pdf Last accessed 16 September 2010. 8Daniel M, Rowley KG, Marks E, O'Dea K. Test agreement for classifying diabetes in indigenous Australians. Aust N Z J Public Health 2006; 30: 128– 131. Volume31, Issue1January 2014Pages 117-118 ReferencesRelatedInformation
Publication Year: 2013
Publication Date: 2013-12-12
Language: en
Type: letter
Indexed In: ['crossref', 'pubmed']
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