Factors that Correlate with Poor Glycemic Control in Type 2 Diabetes Mellitus Patients with Complications-Reference-Cited by-同舟云学术

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Factors that Correlate with Poor Glycemic Control in Type 2 Diabetes Mellitus Patients with Complications

Published:2018-08-31 Issue:4 Volume:9 Page:167-174
ISSN:2210-9099
Container-title:Osong Public Health and Research Perspectives
language:en
Short-container-title:Osong Public Health Res Perspect

Author:

Haghighatpanah Mohammad,Nejad Amir Sasan Mozaffari,Haghighatpanah Maryam,Thunga Girish,Mallayasamy Surulivelrajan

Publisher

Korea Disease Control and Prevention Agency

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

Link

http://www.kcdcphrp.org/upload/phrp-9-4/ophrp-09-0167.pdf

Reference50 articles.

1. Insulin Resistance as a Physiological Defense Against Metabolic Stress: Implications for the Management of Subsets of Type 2 Diabetes

2. The pathogenesis of insulin resistance: integrating signaling pathways and substrate flux

3. Perspectives on diabetic retinopathy

4. Predictive Value of Albuminuria in American Indian Youth With or Without Type 2 Diabetes

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1. The association between serum high-density lipoprotein and hemoglobin A1c in T2DM: Evidence from a nationwide cross-sectional study in diabetic patients;Diabetes Epidemiology and Management;2024-10

2. Prevalence and predictors of hypoglycemia in older outpatients with type 2 diabetes mellitus;PLOS ONE;2024-08-29

3. Patterns of glycaemic control and associated factors among adult patients with diabetes attending medical referral clinics in two public hospitals in North-West Ethiopia: a cross-sectional study;BMJ Public Health;2024-08

4. Association between adherence to diabetes diet and glycemic control among type 2 diabetes mellitus adult patients attending diabetes clinics in selected hospitals, Addis Ababa, Ethiopia: a health facility based unmatched case-control study.;2024-07-26

5. Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development;JMIR AI;2024-07-18

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