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Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China
المؤلفون المشاركون
Yang, Xiaohong
Zhang, Zilong
Yuan, Jie
Liu, Qingqing
Bakeyi, Maerjiaen
Gao, Fangming
Li, Jie
المصدر
International Journal of Endocrinology
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-07
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background.
The twin epidemic of overweight/obesity and type 2 diabetes mellitus (T2DM) is a major public health problem globally, especially in China.
Overweight/obese adults commonly coexist with T2DM, which is closely related to adverse health outcomes.
Therefore, this study aimed to develop risk nomogram of T2DM in Chinese adults with overweight/obesity.
Methods.
We used prospective cohort study data for 82938 individuals aged ≥20 years free of T2DM collected between 2010 and 2016 and divided them into a training (n = 58056) and a validation set (n = 24882).
Using the least absolute shrinkage and selection operator (LASSO) regression model in training set, we identified optimized risk factors of T2DM, followed by the establishment of T2DM prediction nomogram.
The discriminative ability, calibration, and clinical usefulness of nomogram were assessed.
The results were assessed by internal validation in validation set.
Results.
Six independent risk factors of T2DM were identified and entered into the nomogram including age, body mass index, fasting plasma glucose, total cholesterol, triglycerides, and family history.
The nomogram incorporating these six risk factors showed good discrimination regarding the training set, with a Harrell’s concordance index (C-index) of 0.859 [95% confidence interval (CI): 0.850–0.868] and an area under the receiver operating characteristic curve of 0.862 (95% CI: 0.853–0.871).
The calibration curves indicated well agreement between the probability as predicted by the nomogram and the actual probability.
Decision curve analysis demonstrated that the prediction nomogram was clinically useful.
The consistent of findings was confirmed using the validation set.
Conclusions.
The nomogram showed accurate prediction for T2DM among Chinese population with overweight and obese and might aid in assessment risk of T2DM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Qingqing& Yuan, Jie& Bakeyi, Maerjiaen& Li, Jie& Zhang, Zilong& Yang, Xiaohong…[et al.]. 2020. Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China. International Journal of Endocrinology،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1170581
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Qingqing…[et al.]. Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China. International Journal of Endocrinology No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1170581
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Qingqing& Yuan, Jie& Bakeyi, Maerjiaen& Li, Jie& Zhang, Zilong& Yang, Xiaohong…[et al.]. Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China. International Journal of Endocrinology. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1170581
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170581
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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