MétaCan
Menu
Back to cohort
Record W2309457374 · doi:10.1097/hpc.0b013e318057d4c9

Cardiovascular Disease Under the Influence of Excess Visceral Fat

2007· review· en· W2309457374 on OpenAlexaff
Jean‐Pierre Després

Bibliographic record

VenueCritical Pathways in Cardiology A Journal of Evidence-Based Medicine · 2007
Typereview
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsInternal medicineMetabolic syndromeAbdominal obesityMedicineEndocrinologyAdiponectinWaistlineTriglycerideObesityDiabetes mellitusCholesterolWaistInsulin resistanceBiology

Abstract

fetched live from OpenAlex

Diabetes and cardiovascular disease have emerged as major threats to human health, and the risk of developing these chronic conditions is increased in individuals with abdominal obesity and the metabolic syndrome. Excess visceral abdominal tissue (VAT) accumulation appears to be a key feature of abdominal obesity contributing to the development of the metabolic syndrome. For instance, excess VAT is accompanied by elevated triglycerides, reduced high-density lipoprotein (HDL) cholesterol, elevated blood pressure, and/or elevated fasting plasma glucose. In addition, the rather normal or only marginally elevated low-density lipoprotein (LDL) cholesterol concentrations in patients with excess VAT could provide misleading information as viscerally obese patients have an increased plasma concentration of small, dense LDL particles. Prospective studies have suggested that even among patients with LDL cholesterol concentrations within normal limits, an increased concentration of small LDL particles is associated with higher risk of cardiovascular disease. With the treatment of abdominal obesity and excess VAT, an increase in patients' LDL particle size and improvements in other cardiovascular risk factors (eg, insulin levels, glucose tolerance, HDL, C-reactive protein [CRP], and adiponectin levels) can be achieved. Waist circumference can be used in clinical practice as a first approach and as a crude index to identify patients who have excess VAT, particularly when the elevated waistline is accompanied by the clinical features of the metabolic syndrome, among which an elevated fasting triglyceride concentration appears to be predictive of a reduced LDL particle size and of further metabolic abnormalities frequently referred to as the metabolic syndrome. Lifestyle changes, including more physical activity and healthier nutritional habits, are the cornerstone of therapy for high-risk abdominally obese patients with an excess of VAT. In addition, results from the RIO-Lipids study, which was conducted in high-risk obese, dyslipidemic patients, have provided evidence that CB1 receptor blockade with rimonabant can induce significant weight loss, and, more importantly, improve the cardiometabolic risk profile beyond what could be explained by the weight loss effects of the drug.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.013
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.006
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.228
GPT teacher head0.406
Teacher spread0.177 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreReview

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

Citations199
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCritical Pathways in Cardiology A Journal of Evidence-Based MedicineSame topicDiabetes, Cardiovascular Risks, and LipoproteinsFrench-language works237,207