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Record W2100207948 · doi:10.1139/h01-018

Contribution of Visceral Obesity to the Insulin Resistance Syndrome

2001· review· en· W2100207948 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2001
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInsulin resistanceAdipose tissueInternal medicineEndocrinologyMetabolic syndromeDyslipidemiaObesityInsulinMedicineBiology

Abstract

fetched live from OpenAlex

A high visceral adipose tissue accumulation has been associated with many metabolic perturbations typical of the insulin resistance syndrome, such as dyslipidemia, impaired glucose-insulin homeostasis, hypertension and impaired fibrinolysis. It has been documented that male gender aging, and a hyperglycemic state are conditions that increase the likelihood of displaying features of the insulin resistance syndrome. Accordingly, studies have demonstrated that the variation in visceral adipose tissue accumulation explains a significant proportion of the gender differences in the metabolic risk profile. Age-related differences in metabolic components of the insulin resistance syndrome have also been shown to be partly explained by the concomitant increase in visceral adipose tissue accumulation found with age. Studies have suggested that a high visceral adipose tissue accumulation contributes significantly to the deterioration in the plasma lipid-lipoprotein profile found in hyperglycemic subjects. Finally, it appears that the clustering of metabolic alterations of the insulin resistance syndrome is more pronounced in obese subjects with high levels of visceral fat that in those with a lower visceral adipose tissue accumulation.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.934
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.271
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it