Bibliographic record
Abstract
Despite the fact that controversy remains around the underlying pathophysiological processes leading to the development of the metabolic syndrome (insulin resistance and/or hyperinsulinemia versus abdominal obesity), there is increased recognition that abdominal obesity is the most prevalent form of the metabolic syndrome. Although it has been well established that there is a greater prevalence of chronic metabolic diseases such as diabetes and cardiovascular diseases in obese patients than among normal weight individuals, obesity is a remarkably heterogeneous condition and not every obese patient is characterized by co-morbidities. In this regard, body fat distribution, especially visceral adipose tissue accumulation, has been found to be a major correlate of a cluster of diabetogenic, atherogenic, prothrombotic and proinflammatory metabolic abnormalities referred to as the metabolic syndrome. Due to its anatomic location and peculiar metabolic, hyperlipolytic activity, the expanded visceral adipose depot is a key correlate of the altered cardiometabolic risk profile observed among individuals with a high-risk abdominal obesity phenotype. Evidence suggests that this dysmetabolic profile is predictive of a substantially increased risk of coronary heart disease even in the absence of classical risk factors. Finally, a moderate weight loss in initially abdominally obese patients is associated with a preferential mobilization of visceral adipose tissue, which in turn leads to substantial improvements in the metabolic risk profile predictive of a reduced risk of coronary heart disease and of type 2 diabetes.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".