参考文献/References:
[1]Saeedi P,Petersohn I,Salpea P,et al.Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition[J].Diabetes Res Clin Pract,2019(157):107843.[2]中华医学会糖尿病学分会.中国2型糖尿病防治指南(2020年版)[J].中华内分泌代谢杂志,2021,37(4):311-398.[3]Ahn HS,Kim JH,Jeong H,et al.Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction[J].Int J Mol Sci,2020,21(12):4236. [4]Zhou ZR,Wang WW,Li Y,et al.In-depth mining of clinical data: the construction of clinical prediction model with R[J].Ann Transl Med,2019,7(23):796. [5]中华医学会糖尿病学分会微血管并发症学组.中国糖尿病肾脏疾病防治临床指南[J].中华糖尿病杂志,2019,11(1):15-28.[6]Selby NM,Taal MW.An updated overview of diabetic nephropathy: Diagnosis, prognosis, treatment goals and latest guidelines[J].Diabetes Obes Metab,2020,22(Suppl 1):3-15. [7]Liew A,Bavanandan S,Prasad N,et al.Asian pacific society of nephrology clinicl practice guideline on diabetic kidney disedase[J].Nephrology (Carlton),2020,25(Suppl 2):12-45.[8]中国微循环学会糖尿病与微循环专业委员会,中国医疗保健国际交流促进会基层卫生分会基层糖尿病学部,江苏省基层内分泌特色科室孵化联盟.基层糖尿病微血管病变筛查与防治专家共识(2021年版)[J].中国医学前沿杂志（电子版）,2021,13(6):16-38.[9]Wilson PW,D’Agostino RB,Levy D,et al.Prediction of coronary heart disease using risk factor categories[J].Circulation,1998,97(18):1837-1847. [10]Cheng Y,Shang J,Liu D,et al.Development and validation of a predictive model for the progression of diabetic kidney disease to kidney failure[J].Ren Fail,2020,42(1):550-559. [11]Miller EA,Pinsky PF,Heckman-Stoddard BM,et al.Breast cancer risk prediction models and subsequent tumor characteristics[J].Breast Cancer,2020,27(4):662-669. [12]Tang EYH,Price CI,Robinson L,et al.Assessing the Predictive Validity of Simple Dementia Risk Models in Harmonized Stroke Cohorts[J].Stroke,2020,51(7):2095-2102. [13]Teliti M,Cogni G,Sacchi L,et al.Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients[J].Diab Vasc Dis Res,2018,15(5):424-432. [14]Molla GJ,Ismail-Beigi F,Larijani B,et al.Smoking and Diabetes Control in Adults With Type 1 and Type 2 Diabetes: A Nationwide Study From the 2018 National Program for Prevention and Control of Diabetes of Iran[J].Can J Diabetes,2020,44(3):246-252.[15]侯新月,胡松,费春晓,等.预测糖尿病患者并发糖尿病肾病风险的列线图模型的建立[J].临床肾脏病杂志,2020,20(3):207-212.[16]Zhang Y,Guo Y,Shen X,et al.Lower body mass index is not of more benefit for diabetic complications[J].J Diabetes Investig,2019,10(5):1307-1317. [17]Tan NYQ,Chan J,Cheng CY,et al.Sleep Duration and Diabetic Kidney Disease[J].Front Endocrinol (Lausanne),2019(9):808.[18]王广利,章法香,黄欢,等.个体化预测2型糖尿病患者并发高尿酸血症列线图模型的建立及验证[J].医学综述,2021,27(10):2040-2044,2049.[19]Zhang X,Zhao X,Huo L,et al.Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study[J].Sci Rep,2020,10(1):21223. [20]Jiang S,Fang J,Yu T,et al.Novel Model Predicts Diabetic Nephropathy in Type 2 Diabetes[J].Am J Nephrol,2020,51(2):130-138. [21]Xi C,Wang C,Rong G,et al.A Nomogram Model that Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Retrospective Study[J].Int J Endocrinol,2021(2021):6672444. [22]Shi R,Niu Z,Wu B,et al.Nomogram for the Risk of Diabetic Nephropathy or Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus Based on Questionnaire and Biochemical Indicators: A Cross-Sectional Study[J].Diabetes Metab Syndr Obes,2020(13):1215-1229.[23]Wang G,Wang B,Qiao G,et al.Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients[J].Diabetes Metab J,2021,45(5):708-718.[24]肖薇.机器学习算法在糖尿病预测中的应用[J].数字技术与应用,2021,39(4):104-106.[25]乔高星.糖尿病肾病诊断预测模型构建[D].郑州:郑州大学,2019.[26]林鑫,李晋,刘蕾,等.二型糖尿病肾病风险预测模型的比较[J].中华医学图书情报杂志,2019,28(4):41-45.[27]杨宏辉,朱利杰,高传玉.分类树模型与logistic回归在高血压危险因素预测中的应用分析[J].中国卫生标准管理,2017,8(24):7-10.[28]Lou J,Jing L,Yang H,et al.Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: Logistic regression and classification tree model analysis[J].Int J Health Plann Manage,2019,34(3):1013-1024.[29]廖志波,刘迅,成彩联,等.慢性肾脏病3-4期糖尿病肾脏疾病患者进展到终末期肾病的危险因素分类树模型分析[J].中山大学学报(医学版),2019,40(5):767-773.[30]Golpour P,Ghayour-Mobarhan M,Saki A,et al.Comparison of Support Vector Machine, Nave Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography[J].International Journal of Environmental Research and Public Health,2020,17(18):6449.[31]刘小钰.基于Meta-分析Ⅱ型糖尿病并发症发病风险的Logistic回归模型研究[D].重庆:第三军医大学,2016.[32]李楠,唐杰,王一茹,等.基于三维超声构建糖尿病肾病诊断预测模型的初步研究[J].中华医学超声杂志(电子版),2019,16(9):702-708.[33]朱高培,孙娜,许小珊,等.2型糖尿病风险评估模型和风险评分表的建立[J].中国卫生统计,2019,36(6):843-846,850.[34]Jiang W,Wang J,Shen X,et al.Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts[J].Diabetes Care,2020,43(4):925-933. [35]Sullivan LM,Massaro JM,D’Agostino RB Sr.Presentation of multivariate data for clinical use: The Framingham Study risk score functions[J].Stat Med,2004,23(10):1631-1660. [36]Heikes KE,Eddy DM,Arondekar B,et al.Diabetes Risk Calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes[J].Diabetes Care,2008,31(5):1040-1045. [37]Choi Y,Yang Y,Hwang BH,et al.Practical cardiovascular risk calculator for asymptomatic patients with type 2 diabetes mellitus: PRECISE-DM risk score[J].Clin Cardiol,2020,43(9):1040-1047.
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