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Record W2089354656 · doi:10.1038/clpt.2009.311

Obesity, Inflammation, and Cardiovascular Risk

2010· review· en· W2089354656 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

VenueClinical Pharmacology & Therapeutics · 2010
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAdipose tissueContext (archaeology)InflammationObesityDiseaseMedicineBioinformaticsEpidemiologyMetabolic syndromeDysfunctional familyInternal medicineEndocrinologyBiology

Abstract

fetched live from OpenAlex

Obesity, a highly prevalent condition, is heterogeneous with regard to its impact on cardiovascular disease (CVD) risk. Epidemiological observations and metabolic investigations have consistently demonstrated that the accumulation of excess visceral fat is related to an increased risk of CVD as well as several metabolic and inflammatory perturbations. In the past decade, data from several studies have served to emphasize that atherosclerosis has an inflammatory component that may contribute to several key pathophysiological processes. Study data have also highlighted the finding that the expanded visceral fat is infiltrated by macrophages that conduct "cross-talk" with adipose tissue through several significant mechanisms. In this review, we provide, in the context of CVD risk, an up-to-date account of the complex interactions that occur between a dysfunctional adipose tissue phenotype and inflammation.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.092
GPT teacher head0.427
Teacher spread0.336 · 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