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Record W2064455577 · doi:10.1161/hs0102.101630

Severity of Angina Pectoris and Risk of Ischemic Stroke

2002· article· en· W2064455577 on OpenAlexaboutno aff
David Tanné, Avraham Shotan, Uri Goldbourt, Moti Haim, Valentina Boyko, Yehuda Adler, Lori Mandelzweig, Solomon Behar

Bibliographic record

VenueStroke · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineCardiologyHazard ratioAnginaMyocardial infarctionStroke (engine)Heart failureCanadian Cardiovascular SocietyProportional hazards modelUnstable anginaConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Ischemic stroke and coronary heart disease (CHD) share risk factors and pathogenic process, ie, atherosclerosis and thrombosis. We examined the relationship between severity of angina pectoris and its accompanying characteristics and the risk of incident ischemic stroke. METHODS: We traced 3122 patients with stable CHD, included in a secondary prevention trial of lipid modification, the Bezafibrate Infarction Prevention trial. CHD was documented by a history of myocardial infarction > or =6 months and < 5 years before enrollment and/or stable angina pectoris with evidence of ischemia confirmed by ancillary diagnostic testing. Severity of angina pectoris was assessed according to the Canadian Cardiovascular Society angina classification, and heart failure functional class according to the New York Heart Association (NYHA) classification. Patients with severe heart failure or unstable angina on enrollment were excluded. RESULTS: During a mean follow-up period of 8.2 years, 186 patients developed an ischemic stroke. The cumulative rate of ischemic stroke increased in a dose-response manner from 4.7% in patients with no angina to 5.7%, 8.4%, and 12.9% in patients with angina classes 1, 2, and 3, respectively (P<0.001). Patients with NYHA functional class 1 had a 5.5% rate of ischemic stroke versus 7.3% and 9.6% in patients with classes 2 and 3, respectively (P=0.05). In a Cox proportional-hazard model adjusting for conventional risk factors and potential confounders, the hazard ratio associated with angina class 1 was 1.20 (95% CI, 0.83 to 1.74); class 2, 1.66 (95% CI, 1.12 to 2.45); and class 3, 2.35 (95% CI, 1.08 to 5.13), as compared with patients with no angina. Hazard ratios of ischemic stroke associated with conventional risk factors were 1.55 for a 10-year age increment, 2.16 for diabetes mellitus, 1.81 for current smoking, and 1.29 for a 20 mm Hg increase in systolic blood pressure. CONCLUSIONS: Severity of angina pectoris in patients with stable CHD predicts an increased risk of subsequent ischemic stroke. The association between angina class and incident ischemic stroke is independent of traditional vascular risk factors.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.010
GPT teacher head0.237
Teacher spread0.228 · 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 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

Citations27
Published2002
Admission routes1
Has abstractyes

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