evidence table

Blood Glucose Control Evidence Table

Structured evidence table for Blood Glucose Control, generated from 2 reusable source documents in the Migaku knowledge base.

topicclaimevidence levelcitationsource
Blood Glucose ControlDue to the complexity of blood glucose dynamics and the high variability of the physiological structure of diabetic patients, implementing a safe and effective insulin dosage control algorithm to keep the blood glucose of diabetic patients within the normal range (70-180 mg/dL) is currently a challenging task in the field of diabetes treatment.4Huang S (2026)A Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.
Blood Glucose ControlDeep reinforcement learning (DRL) has proven its potential in diabetes treatment in previous work, thanks to its strong advantages in solving complex dynamic and uncertain problems.4Huang S (2026)A Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.
Blood Glucose ControlType 2 diabetes is the most prevalent form of the condition, characterized by hyperglycaemia, insulin resistance, and relative insulin deficiency (ADA) () Research indicates that rigorous metabolic management may postpone or prevent the development of complications associated with diabetes ().4Salman Al-Shami Ali (2025)“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
Blood Glucose ControlData from the Diabetes Control and Complications Trial (DCCT Research Group) show that in individuals with type 1 diabetes, a 10% reduction in glycated hemoglobin (GHb) levels was associated with a 43% decrease in the risk of retinopathy progression ().4Salman Al-Shami Ali (2025)“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
Blood Glucose ControlFindings from the Gallichan study, further indicated that morbidity associated with diabetes mellitus—as well as the use of healthcare resources for managing diabetic complications—could potentially be reduced by significantly improving blood glucose control ().4Salman Al-Shami Ali (2025)“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
Blood Glucose Control1 2 3 4 3 5 6 7 8 8 9 10 11 12 13 14 15 16 17 Diabetes mellitus (DM) is a very common metabolic disease characterized by high glucose levels in the blood due to dysfunction in the pancreas to produce sufficient amounts of insulin hormone.4Salman Al-Shami Ali (2025)“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
topicBlood Glucose Control
claimDue to the complexity of blood glucose dynamics and the high variability of the physiological structure of diabetic patients, implementing a safe and effective insulin dosage control algorithm to keep the blood glucose of diabetic patients within the normal range (70-180 mg/dL) is currently a challenging task in the field of diabetes treatment.
evidence level4
citationHuang S (2026)
sourceA Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.
topicBlood Glucose Control
claimDeep reinforcement learning (DRL) has proven its potential in diabetes treatment in previous work, thanks to its strong advantages in solving complex dynamic and uncertain problems.
evidence level4
citationHuang S (2026)
sourceA Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.
topicBlood Glucose Control
claimType 2 diabetes is the most prevalent form of the condition, characterized by hyperglycaemia, insulin resistance, and relative insulin deficiency (ADA) () Research indicates that rigorous metabolic management may postpone or prevent the development of complications associated with diabetes ().
evidence level4
citationSalman Al-Shami Ali (2025)
source“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
topicBlood Glucose Control
claimData from the Diabetes Control and Complications Trial (DCCT Research Group) show that in individuals with type 1 diabetes, a 10% reduction in glycated hemoglobin (GHb) levels was associated with a 43% decrease in the risk of retinopathy progression ().
evidence level4
citationSalman Al-Shami Ali (2025)
source“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
topicBlood Glucose Control
claimFindings from the Gallichan study, further indicated that morbidity associated with diabetes mellitus—as well as the use of healthcare resources for managing diabetic complications—could potentially be reduced by significantly improving blood glucose control ().
evidence level4
citationSalman Al-Shami Ali (2025)
source“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”
topicBlood Glucose Control
claim1 2 3 4 3 5 6 7 8 8 9 10 11 12 13 14 15 16 17 Diabetes mellitus (DM) is a very common metabolic disease characterized by high glucose levels in the blood due to dysfunction in the pancreas to produce sufficient amounts of insulin hormone.
evidence level4
citationSalman Al-Shami Ali (2025)
source“Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”

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Source documents

  1. A Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.
  2. “Assessment of diabetes management strategies for blood glucose control in Sana’a City General Hospitals”