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Record W2726979073 · doi:10.1097/paf.0000000000000330

Association of Waist-Hip Ratio to Sudden Cardiac Death and Severe Coronary Atherosclerosis in Medicolegal Autopsies

2017· article· en· W2726979073 on OpenAlexaff
Linda Kocovski, Joshua Dogyeong Lee, Sameer Parpia, John Fernandes, Vidhya Nair

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInternal medicineCardiologyBody mass indexWaistWaist–hip ratioCoronary artery diseaseAbdominal obesityObesityCoronary atherosclerosisSudden cardiac death

Abstract

fetched live from OpenAlex

Various modifiable and nonmodifiable risk factors, such as abdominal obesity, are known to affect the development of atherosclerotic cardiovascular disease and subsequent sudden cardiac death (SCD). The waist-hip ratio is a surrogate marker of visceral obesity that has been shown in various studies to be a better predictor of cardiovascular risk than the body mass index (BMI), a measurement of generalized obesity. Waist-hip ratio was measured prospectively on medicolegal autopsies performed for 1 year, in addition to standard measurements of BMI and heart weight, and histologic determination of severe coronary atherosclerosis (SCA, coronary artery diameter stenosis >75%). Logistic modeling was performed to determine any association between WHR, BMI, cardiovascular disease risk factors, heart weight, and SCD or SCA. Waist-hip ratio was not shown to be statistically significantly associated with either SCD (P = 0.68) or SCA (P = 0.14). Body mass index was shown to be significantly associated with SCA (P < 0.001), and heart weight was shown to be significantly associated with both SCD and SCA (P < 0.001, both). Waist-hip ratio, as a surrogate marker of central obesity and increased risk of atherosclerotic cardiovascular disease, is shown not to be statistically significantly associated with either SCD or SCA in postmortem cases.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.276
Teacher spread0.259 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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