VLCD E VLCKD nel trattamento di obesi affetti da diabete non insulinodipendente o prediabete: evidenze e riflessioni cliniche
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it