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A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients

INTRODUCTION: China has the world’s largest diabetes epidemic and has been facing a serious shortage of primary care providers for chronic diseases including diabetes. To help primary care physicians follow guidelines and mitigate the workload in primary care communities in China, we developed a gui...

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Autores principales: Luo, Yingying, Wu, Hong, Liao, Xiyang, Zhao, Tingting, Cui, Nan, Li, Aihua, Sun, Xingzhi, Zhang, Puhong, Huang, Yahua, Zhang, Xia, Yin, Huiqiu, Ji, Linong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266924/
https://www.ncbi.nlm.nih.gov/pubmed/34050897
http://dx.doi.org/10.1007/s13300-021-01075-1
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author Luo, Yingying
Wu, Hong
Liao, Xiyang
Zhao, Tingting
Cui, Nan
Li, Aihua
Sun, Xingzhi
Zhang, Puhong
Huang, Yahua
Zhang, Xia
Yin, Huiqiu
Ji, Linong
author_facet Luo, Yingying
Wu, Hong
Liao, Xiyang
Zhao, Tingting
Cui, Nan
Li, Aihua
Sun, Xingzhi
Zhang, Puhong
Huang, Yahua
Zhang, Xia
Yin, Huiqiu
Ji, Linong
author_sort Luo, Yingying
collection PubMed
description INTRODUCTION: China has the world’s largest diabetes epidemic and has been facing a serious shortage of primary care providers for chronic diseases including diabetes. To help primary care physicians follow guidelines and mitigate the workload in primary care communities in China, we developed a guideline-based decision tree. This study aimed to validate it at 3 months with real-world data. METHODS: The decision tree was developed based on the 2017 Chinese Type 2 Diabetes (T2DM) guideline and 2018 guideline for primary care. It was validated with the data from two registry studies: the NEW2D and ORBIT studies. Patients’ data were divided into two groups: the compliance and non-compliance group, depending on whether the physician’s prescription was consistent with the decision tree or not. The primary outcome was the difference of change in HbA1c from baseline to 3 months between the two groups. The secondary outcomes included the difference in the proportion of patients achieving HbA1c < 7% at 3 months between the two groups, the incidence of self-reported hypoglycemia at 3 months, and the proportion of patients (baseline HbA1c ≥ 7%) with a HbA1c reduction ≥ 0.3%. The statistical analysis was performed using linear or logistic regression with inverse probability of treatment weighting with adjustments of confounding factors. RESULTS: There was a 0.9% reduction of HbA1c in the compliance group and a 0.8% reduction in the non-compliance group (P < 0.001); 61.1% of the participants in the compliance group and 44.3% of the participants in the non-compliance group achieved a HbA1c level < 7% at 3 months (P < 0.001). The hypoglycemic events occurred in 7.1% of patients in the compliance group vs. 9.4% in the non-compliance group (P < 0.001). CONCLUSION: The decision tree can help physicians to treat their patients so that they achieve their glycemic targets with fewer hypoglycemic risks. (http://www.clinicaltrials.gov NCT01525693 & NCT01859598). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13300-021-01075-1.
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spelling pubmed-82669242021-07-20 A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients Luo, Yingying Wu, Hong Liao, Xiyang Zhao, Tingting Cui, Nan Li, Aihua Sun, Xingzhi Zhang, Puhong Huang, Yahua Zhang, Xia Yin, Huiqiu Ji, Linong Diabetes Ther Original Research INTRODUCTION: China has the world’s largest diabetes epidemic and has been facing a serious shortage of primary care providers for chronic diseases including diabetes. To help primary care physicians follow guidelines and mitigate the workload in primary care communities in China, we developed a guideline-based decision tree. This study aimed to validate it at 3 months with real-world data. METHODS: The decision tree was developed based on the 2017 Chinese Type 2 Diabetes (T2DM) guideline and 2018 guideline for primary care. It was validated with the data from two registry studies: the NEW2D and ORBIT studies. Patients’ data were divided into two groups: the compliance and non-compliance group, depending on whether the physician’s prescription was consistent with the decision tree or not. The primary outcome was the difference of change in HbA1c from baseline to 3 months between the two groups. The secondary outcomes included the difference in the proportion of patients achieving HbA1c < 7% at 3 months between the two groups, the incidence of self-reported hypoglycemia at 3 months, and the proportion of patients (baseline HbA1c ≥ 7%) with a HbA1c reduction ≥ 0.3%. The statistical analysis was performed using linear or logistic regression with inverse probability of treatment weighting with adjustments of confounding factors. RESULTS: There was a 0.9% reduction of HbA1c in the compliance group and a 0.8% reduction in the non-compliance group (P < 0.001); 61.1% of the participants in the compliance group and 44.3% of the participants in the non-compliance group achieved a HbA1c level < 7% at 3 months (P < 0.001). The hypoglycemic events occurred in 7.1% of patients in the compliance group vs. 9.4% in the non-compliance group (P < 0.001). CONCLUSION: The decision tree can help physicians to treat their patients so that they achieve their glycemic targets with fewer hypoglycemic risks. (http://www.clinicaltrials.gov NCT01525693 & NCT01859598). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13300-021-01075-1. Springer Healthcare 2021-05-29 2021-07 /pmc/articles/PMC8266924/ /pubmed/34050897 http://dx.doi.org/10.1007/s13300-021-01075-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Luo, Yingying
Wu, Hong
Liao, Xiyang
Zhao, Tingting
Cui, Nan
Li, Aihua
Sun, Xingzhi
Zhang, Puhong
Huang, Yahua
Zhang, Xia
Yin, Huiqiu
Ji, Linong
A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title_full A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title_fullStr A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title_full_unstemmed A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title_short A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
title_sort guideline-based decision tree achieves better glucose control with less hypoglycemia at 3 months in chinese diabetic patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266924/
https://www.ncbi.nlm.nih.gov/pubmed/34050897
http://dx.doi.org/10.1007/s13300-021-01075-1
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