Bibliographic record
Abstract
The metabolic syndrome is a constellation of metabolic abnormalities that result in an increased risk for type 2 diabetes mellitus and cardiovascular disease in adults. It emerges when a person's predisposition for insulin resistance is worsened by increasing central obesity and is largely confined to the overweight population. The United States National Cholesterol Education Program's Adult Treatment Panel III report proposed a set of criteria for the clinical diagnosis of metabolic syndrome in the adult population. A uniform definition for the paediatric population is lacking. Despite this, several studies have demonstrated that features of the syndrome develop in childhood and that the syndrome is present in up to 30% of obese children (body mass index at or above the 95th percentile). Ninety per cent of obese children meet at least one of the five criteria. The degree of abnormality is related to the body mass index, waist circumference and fasting insulin levels. There appears to be a genetic predisposition to the development of the syndrome and certain ethnic groups are at increased risk. The intrauterine environment also appears to play a role. Insulin resistance should be targeted for treatment through exercise and dietary intervention. The role of pharmacotherapeutic agents remains unclear. A uniform definition of the metabolic syndrome for paediatric patients needs to be created. Early intervention should be instituted because many of the features of the syndrome track from childhood into adulthood.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".