Therapeutic use of intermittent fasting and ketogenic diet as an alternative treatment for type 2 diabetes in a normal weight woman: a 14-month case study
Bibliographic record
Abstract
This case demonstrates the effective and sustainable use of intermittent fasting (IF) and ketogenic diet (KD) in a normal weight patient with type 2 diabetes, who did not attain glycaemic control with a standard care approach. A 57-year-old woman with type 2 diabetes treated with metformin and strict adherence to a standard diabetic diet presented with a haemoglobin A1c (HbA1c) of 9.3%. Within 4 months of transitioning to KD, combined with IF, she achieved glycaemic control off pharmacotherapy, with HbA1c of 6.4. IF regimens started as 24 hours three times per week, followed by 42 hours three times per week, then 42 hours two times per week and 16 hours once per week. A maintenance phase was then begun at 8 months; IF was reduced to 16 hours per day, with 24 hours three times per month, and metformin was restarted. At 14 months, HbA1c reached 5.8%, and body mass index was minimally changed.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".