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- 2016
基于体检队列的2型糖尿病风险预测模型
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Abstract:
[1] | Lim N, Park S, Choi S, et al. A risk score for predicting the incidence of type 2 diabetes in a middle-aged Korean cohort[J]. Circ J, 2012, 76(8):1904-1910. |
[2] | 王孝勇. 无症状2型糖尿病及糖尿病前期人群社区筛查策略研究[D]. 山东大学, 2011. |
[3] | 师正坤, 郭佳, Monica Parry, 等. 中国糖尿病风险评估工具的研究现状与进展[J]. 中国全科医学, 2015(20):2368-2372. SHI Zhengkun, GUO Jia, Monica Parry, et al. Research status and progress of Chinese risk assessment tools for diabetes mellitus[J]. Chinese General Practice, 2015, 18(20):2368-2372. |
[4] | Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk[J]. Diabetes Care, 2003, 26(3):725-731. |
[5] | Noto D, Cefalù AB, Barbagallo CM, et al. Prediction of incident type 2 diabetes mellitus based on a twenty-year follow-up of the Ventimiglia heart study[J]. Acta Diabetol, 2012, 49(2):145-151. |
[6] | Vassy JL, Hivert MF, Porneala B, et al. Polygenic type 2 diabetes prediction at the limit of common variant detection[J]. Diabetes, 2014, 63(6):2172-2182. |
[7] | Yang W, Lu J. Prevalence of diabetes among men and women in China[J]. N Engl J Med, 2010, 12(362):1090-1101. |
[8] | Dong JJ, Lou NJ, Zhao JJ, et al. Evaluation of a risk factor scoring model in screening for undiagnosed diabetes in China population[J]. J Zhejiang Univ Sci B, 2011, 12(10):846-852. |
[9] | Phillips CM, Kearney PM, Mccarthy VJ, et al. Comparison of diabetes risk score estimates and cardiometabolic risk profiles in a middle-aged Irish population[J]. PLoS One, 2013, 8(11): e78950. doi: 10.1371/journal.pone.0078950. |
[10] | Lu C, Sun W. Prevalence of diabetes in Chinese adults[J]. JAMA, 2014, 311(2):199-200. |
[11] | Sun K, Li F, Qi Y, et al. Sex difference in the association between habitual daytime napping and prevalence of diabetes: a population-based study[J]. Endocrine, 2016, 52(2):263-270. |
[12] | 中国2型糖尿病防治指南(2010年版)[J]. 中国糖尿病杂志, 2012(1):81-117. |
[13] | 中国高血压防治指南(2010年版)[J]. 中华高血压杂志,2011(8):701-743. |
[14] | Heianza Y, Arase Y, Saito K, et al. Development of a screening score for undiagnosed diabetes and its application in estimating absolute risk of future type 2 diabetes in Japan: Toranomon Hospital Health Management Center Study 10(TOPICS 10)[J]. J Clin Endocrinol Metab, 2013, 98(3):1051-1060. |
[15] | Xu L, Jiang CQ, Schooling CM, et al. Prediction of 4-year incident diabetes in older Chinese: recalibration of the Framingham diabetes score on Guangzhou Biobank Cohort Study[J]. Prev Med, 2014, 69:63-68. doi:10.1016/j.ypmed.2014.09.004. Epub 2014 Sep 17. |
[16] | Gupta AK, Dahlof B, Dobson J, et al. Determinants of new-onset diabetes among 19,257 hypertensive patients randomized in the Anglo-Scandinavian cardiac outcomes trial-blood pressure lowering arm and the relative influence of antihypertensive medication[J]. Diabetes Care, 2008, 31(5):982-988. |
[17] | Barber SL, Yao L. Health insurance systems in China: A briefing note: The path to universal coverage [Z]. World Health Organization, 2010. |
[18] | Lindstr?m J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk[J]. Diabetes Care, 2003, 3(26):725-731. |
[19] | Aekplakorn W, Bunnag P, Woodward M, et al. A risk score for predicting incident diabetes in the Thai population[J]. Diabetes Care, 2006, 29(8):1872-1877. |
[20] | Balkau B, Lange C, Fezeu L, et al. Predicting diabetes: clinical, biological, and genetic approaches: data from the epidemiological study on the insulin resistance syndrome(DESIR)[J]. Diabetes Care, 2008, 31(10):2056-2061. |
[21] | Demmer RT, Jacobs DR, Desvarieux M. Periodontal disease and incident type 2 diabetes: results from the First National Health and Nutrition Examination Survey and its epidemiologic follow-up study[J]. Diabetes Care, 2008, 31(7):1373-1379. |