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Reanalysis and External Validation of a Decision Tree Model for Detecting Unrecognized Diabetes in Rural Chinese Individuals
Joint Authors
Hua, Lin
Zhao, Dong
Yu, Cai-Guo
Xin, Zhong
Cao, Xi
Yang, Jin-kui
Wang, Xu-Hong
Ma, Ya-Hong
Zhao, Lei
Source
International Journal of Endocrinology
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-30
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We reanalyzed previous data to develop a more simplified decision tree model as a screening tool for unrecognized diabetes, using basic information in Beijing community health records.
Then, the model was validated in another rural town.
Only three non-laboratory-based risk factors (age, BMI, and presence of hypertension) with fewer branches were used in the new model.
The sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC) for detecting diabetes were calculated.
The AUC values in internal and external validation groups were 0.708 and 0.629, respectively.
Subjects with high risk of diabetes had significantly higher HOMA-IR, but no significant difference in HOMA-B was observed.
This simple tool will help general practitioners and residents assess the risk of diabetes quickly and easily.
This study also validates the strong associations of insulin resistance and early stage of diabetes, suggesting that more attention should be paid to the current model in rural Chinese adult populations.
American Psychological Association (APA)
Xin, Zhong& Hua, Lin& Wang, Xu-Hong& Zhao, Dong& Yu, Cai-Guo& Ma, Ya-Hong…[et al.]. 2017. Reanalysis and External Validation of a Decision Tree Model for Detecting Unrecognized Diabetes in Rural Chinese Individuals. International Journal of Endocrinology،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1166169
Modern Language Association (MLA)
Xin, Zhong…[et al.]. Reanalysis and External Validation of a Decision Tree Model for Detecting Unrecognized Diabetes in Rural Chinese Individuals. International Journal of Endocrinology No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1166169
American Medical Association (AMA)
Xin, Zhong& Hua, Lin& Wang, Xu-Hong& Zhao, Dong& Yu, Cai-Guo& Ma, Ya-Hong…[et al.]. Reanalysis and External Validation of a Decision Tree Model for Detecting Unrecognized Diabetes in Rural Chinese Individuals. International Journal of Endocrinology. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1166169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1166169