Update on the Management of Diabetes during Ramadan Fast for Healthcare Practitioners
Bibliographic record
Abstract
Fasting during the month of Ramadan is one of the five pillars of Islam, a recurring annual ritual, which is passionately practiced by most Muslims across the world. It is obligatory on every healthy Muslim; however, the Qur’an and Islamic teachings specifically exempt people with acute or chronic illnesses from this duty, especially if it might have harmful consequences. Muslims with diabetes are exempted from fasting, but many of them still fast during Ramadan, for their personal convictions as revealed by EPIDIAR study which showed that 43% of patients with type 1 diabetes and 79% with type 2 diabetes fasted during Ramadan. Muslims constitute about a quarter of the world’s population who are spread all over the globe. It is inevitable that health care issues peculiar to them will be encountered worldwide and health care providers will have to counsel them regarding medications and whether it is safe to undertake the fast. This paper is an update on the management of Ramadan fasting based on current evidence from published literature and expert opinions.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".