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Record W126956895

[Risk factors associated with obesity: a metabolic perspective].

2000· article· en· W126956895 on OpenAlexaff
Jean‐Pierre Després, Agnès Pascot, Isabelle Lemieux

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsInternal medicineEndocrinologyMedicineHyperinsulinemiaObesityMetabolic syndromeAdipose tissueDiabetes mellitusType 2 diabetesLipid profileApolipoprotein BWaistGlycemicTriglycerideCholesterolInsulin resistance
DOInot available

Abstract

fetched live from OpenAlex

Obesity, especially visceral obesity, is associated with a cluster of metabolic complications increasing the risk of type 2 diabetes and coronary heart disease. It has been shown that obese patients characterized by a high accumulation of visceral adipose tissue have increased glycemic and insulinemic responses to an oral glucose load compared to normal weight individuals or to obese individuals with a low accumulation of visceral adipose tissue. Viscerally obese patients are also characterized by an unfavourable plasma lipid profile which includes elevated triglyceride and apolipoprotein B concentrations, reduced HDL-cholesterol levels as well as an increased proportion of small, dense LDL particles. Such alterations in the lipid profile are often observed even in the absence of elevated LDL-cholesterol concentrations. Our work has clearly shown that this cluster of metabolic abnormalities found among viscerally obese patients was associated with a substantial increase in coronary heart disease risk. Our work has also shown that the "metabolic triad" of non-traditional risk factors (hyperinsulinemia, elevated apolipoprotein B levels, increased proportion of small, dense LDL particles) was associated with a 20-fold increase in the risk of coronary heart disease. In this regard, we have been interested in developing simple tools which would allow clinicians to identify at an early stage and at low cost individuals who would be carriers of the atherogenic metabolic triad. We have noted that the measurement and interpretation of waist circumference and of fasting plasma triglyceride levels could allow the identification of a high proportion of carriers of the metabolic triad. Indeed, less than 10% of men with a waist circumference below 90 cm and triglyceride concentrations below 2 mmol/l were characterized by the features of the metabolic triad. However, more than 80% of individuals with a waist circumference above 90 cm and triglyceride levels above 2 mmol/l were carriers of the metabolic triad. Finally, an elevated visceral adipose tissue accumulation has also been associated with a thrombogenic and a pro-inflammatory metabolic profile which would be predictive of an unstable atherosclerotic plaque. Therefore, the stabilisation of the atherosclerotic plaque may represent a legitimate therapeutic objective to reduce the risk of coronary heart disease among patients with visceral obesity. It is proposed that a rather modest weight loss (approximately 10%) could contribute to substantially improve the risk profile of these patients.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.003

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 head0.227
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2000
Admission routes1
Has abstractyes

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