The Effect of Intermittent Fasting on Glucose and Lipid Disorder among patients of Diabetes Mellitus Type-2
Bibliographic record
Abstract
Background: The diabetes Mellitus Type -2 disease has become prevalent globally and the treatment of the disease is quite expansive and long term, especially in the low-income countries like Pakistan. Aim: To explore the evidence of the efficacy of Intermittent Fasting as an alternative therapy in Diabetes Mellitus Type-2 by reviewing the existing literature on intermittent fasting globally. Methods: The literature on the effect of Intermittent Fasting on diabetes type-2 was searched on PubMed, and Google scholar and more than 20 studies conducted on the IF on human beings were identified at national, regional, and global levels and reviewed. Results: Not much literature is available on Intermittent Fasting, especially in low-income countries and the majority of the studies have been conducted in high-income countries like the USA, Canada, Australia, and the UK. A few long-term, Randomized Control Trials have been conducted, and most are short-term studies. A few studies have been found on Diabetes Mellitus Type-2 in India and Pakistan that too related to the prevalence and economic burden of the disease in these countries. Conclusion: Based on the studies reviewed, we can conclude that there is growing evidence demonstrating the benefits of Intermittent Fasting in short- and medium-term studies on glucose and lipid homeostasis but there is a need to carry out more long-term studies with a larger number of participants and in low-income countries. Furthermore, the existing literature reveals that Intermittent Fasting can be used as an alternative in the supervision of physicians otherwise can be counterproductive. Keywords: Intermittent Fasting, Diabetes mellitus, weight loss, Lipid Disorder
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".