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Record W2155744531 · doi:10.2174/187152908785849080

Adipose Tissue: The Link Between Obesity and Cardiovascular Disease

2008· review· en· W2155744531 on OpenAlexaff
Vanessa DeClercq, Carla G. Taylor, Peter Zahradka

Bibliographic record

VenueCardiovascular & Haematological Disorders - Drug Targets · 2008
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsAdipokineResistinAdipose tissueAdiponectinAdipocyteLeptinEndocrinologyInternal medicineObesityMedicineBiologyInsulin resistance

Abstract

fetched live from OpenAlex

The ever-increasing prevalence of cardiovascular disease (CVD) associated with obesity is linked through signaling pathways within adipose tissue. Adipose tissue functions as an endocrine organ, producing and secreting a variety of bioactive molecules. In obesity, the adipose tissue itself undergoes changes in cell size which alters its normal physiological function. Altered adipocyte function changes production and secretion of adipokines, such as leptin, adiponectin, angiotensinogen, plasminogen activator inhibitor-1, resistin, and several inflammatory molecules. Adipokines interact with other tissues and cells in the body, including many pathways linked to CVD. Future research in the area of obesity-related CVD requires further investigation into a combination of lifestyle and pharmacological therapies that alter adipokine production by reducing adipocyte size.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.004

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 head0.027
GPT teacher head0.275
Teacher spread0.248 · 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 designNot applicable
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

Citations76
Published2008
Admission routes1
Has abstractyes

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