The concept of cardiometabolic risk: Bridging the fields of diabetology and cardiology
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 lack of physical activity and the adoption of poor nutritional habits is the major cause of the obesity epidemic that is currently sweeping the world. The expansion of adipose tissue mass, especially of the visceral adipose tissue depot, is observed in the vast majority of individuals carrying the clinical features of the metabolic syndrome, an important (and reversible) risk factor of type 2 diabetes and cardiovascular disease. As waist circumference can be used as a crude estimate of visceral fat accumulation, its measurement provides further information on cardiovascular and type 2 diabetes risk, at any given body mass index value. However, an elevated waist circumference might also be the result of an increased 'cardioprotective' subcutaneous adipose tissue mass. We have proposed that the measurement of plasma triglycerides along with waist circumference, the so-called 'hypertriglyceridemic waist' might better quantify visceral obesity and its health hazards than waist circumference alone. "Hypertriglyceridemic waist" is thought to represent an altered, dysfunctional, and highly lipolytic adipose tissue that is a major culprit abnormality behind the metabolic syndrome and associated cardiometabolic risk, independently from classical cardiovascular disease risk factors such as age, sex, and plasma low density lipoprotein (LDL) cholesterol levels.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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