MétaCan
Menu
Back to cohort
Record W2100930110 · doi:10.1093/eurheartj/suq014

Coronary artery disease in 2010

2010· article· en· W2100930110 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

VenueEuropean Heart Journal Supplements · 2010
Typearticle
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsMontreal Heart InstituteUniversité de Montréal
Fundersnot available
KeywordsMedicineCoronary artery diseaseLife expectancyDiabetes mellitusQuality of life (healthcare)Intensive care medicineDiseaseIncidence (geometry)Smoking cessationInternal medicinePopulationEnvironmental healthPathologyEndocrinology

Abstract

fetched live from OpenAlex

The burden of coronary artery disease (CAD) remains high across Europe and the rest of the world. CAD continues to be the main cause of death and a major cause of morbidity and loss of quality of life. The decline in age-standardized mortality rates and in incidence of CAD in many countries illustrates the potential for prevention of premature deaths and for prolonging life expectancy. New therapeutic options for prevention and treatment of CAD have resulted in an increasing number of patients who survive a cardiovascular event; in developed countries the burden has shifted from the middle-aged to the elderly and the prevalence of CAD increases exponentially with aging. CAD is a leading public health problem accounting for a significant proportion of total societal costs and representing 27% of total cardiovascular disease costs. Together with cerebrovascular diseases, CAD accounts for 64% of all cardiovascular deaths. There are a number of lifestyle changes that can be implemented to improve the prognosis of patients with stable CAD, including smoking cessation, adoption of a Mediterranean diet, body weight reduction, and increased physical activity. Concomitant risk factors such as diabetes, dyslipidaemia, and hypertension should be managed aggressively. Current treatment options for stable CAD involve a two-pronged approach combining antianginal treatment to improve symptoms and quality of life along with a cardioprotective treatment to prevent cardiovascular events. Optimal medical treatment should be the initial management approach in the majority of patients with stable CAD, even if extensive and multi-vessel atherosclerosis is involved. A large body of evidence suggests that high resting heart rate (HR) is a potential risk factor for mortality and morbidity in various populations, including patients with CAD. Experimental evidence indicates that high HR plays a role in endothelial dysfunction and atherosclerosis progression. An HR ≥70 b.p.m. is associated with an increased cardiovascular risk. Ongoing randomized trials are evaluating the role of selective HR reduction in improving cardiovascular outcomes. These trial data will be complemented by CLARIFY, a large-scale international registry of outpatients with stable CAD which will analyse not only the baseline characteristics and management practices but will also capture all suspected important determinants of outcomes including resting HR.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.316
Teacher spread0.283 · 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