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Record W3120745311 · doi:10.7759/cureus.12706

Sideburns Obesity Syndrome: Is Sideburn Fat the Window to the Heart?

2021· article· en· W3120745311 on OpenAlexaff
Mohammed Abrahim

Bibliographic record

VenueCureus · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineBuccal fat padCoronary artery diseaseObesityAdipose tissueCardiologyRisk factorInternal medicineMetabolic syndromeDiseaseBuccal administration

Abstract

fetched live from OpenAlex

Despite significant advancements in cardiovascular diagnostic technology, physical examination signs remain credible diagnostic indicators of coronary artery disease. Here, we report a case of a 50-year-old male patient with premature coronary artery disease associated with a novel physical sign of bilateral symmetrical bulging of the sideburn areas of the face. The sideburns correspond anatomically to the buccal fat pad which is composed of visceral adipose tissue. Visceral obesity is an established risk factor for cardiovascular disease, independent of total body weight, with some suggestion of a causal association. Therefore, isolated buccal visceral obesity (sideburn obesity syndrome) could be a marker for premature coronary artery disease.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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 teacher head, not a consensus.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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