A Comparison Between the Effect of Three Types of Low-Calorie Diets on Controlling Blood Glucose and Lipids in People with Type 2 Diabetes
Bibliographic record
Abstract
The blood glucose level of people with diabetes can be normalized through an appropriate diet, physical activity, the use of chemical drugs and medicinal plants. This study aims to investigate the effects of low-calorie diets (1200, 1500, and 1800 kcal) on glucose and serum lipids in poorly controlled type 2 diabetic patients. This clinical trial was conducted among 60 patients with type 2 diabetes mellitus. The criteria for entering the study were fasting blood glucose higher than 130 mg/dl, hemoglobin A1C higher than 7% and BMI higher than 25. Blood glucose, fasting blood glucose and lipid levels were measured before and after intervention two hours after each meal. Patients were trained by an expert. Then, the questionnaires were completed and analyzed. In this study, the mean fasting blood glucose level in patients who used 1500 and 1200 kcal diet decreased significantly after intervention (p<0.05). Glucose decreased significantly after two hours using a 1500 kcal diet (p<0.009). In addition, triglyceride and cholesterol levels were significantly reduced in patients who used the 1500 kcal diet (p<0.05). Although, there was no significant difference in blood glucose levels between 1200, 1500 and 1800 kcal diets based on gender, residencency and BMI. Regarding the fact that there was no significant difference in reducing blood glucose and serum lipids between 1200 and 1500 kcal diets. It is recommended to use a 1500 kcal diet instead of 1200 kcal diet, which imposes fewer limitations and is easier to tolerate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".