VLCD E VLCKD nel trattamento di obesi affetti da diabete non insulinodipendente o prediabete: evidenze e riflessioni cliniche
Bibliographic record
Abstract
The dramatic rise in the prevalence of obesity and diabetes has become a major global public health issue. "Prediabetes" is the term used for individuals whose glucose levels do not meet the criteria for diabetes but are too high to be considered normal. Prediabetes is associated with obesity, especially visceral obesity, is a high risk state for diabetes. Obesity management can delay the progression from prediabetes to type 2 diabetes and is beneficial in the treatment of type 2 diabetes. In the strategy of weight loss there are several dietary approaches available, divided between low calories diet and very low-calorie diets (VLCDs). VLCDs include the very-low-carbohydrate diet (VLCKD) can lead to a state of ketosis. Type 2 diabetes (T2D) has long been identified as an incurable chronic disease; on the contrary, there is evidence that the reversibility of type 2 diabetes is achievable using very low calorie diets or carbohydrate restriction diets. This report provides an update on the scientific evidence relating to highly low-calorie diets and the opinion of the President of the Italian Obesity Network.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".