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Record W2170158908 · doi:10.1016/s1520-765x(03)90007-1

Chronic heart rate reduction with ivabradine and prevention of atherosclerosis progression assessed using intravascular ultrasound

2003· article· en· W2170158908 on OpenAlexaff
Jean‐Claude Tardif

Bibliographic record

VenueEuropean Heart Journal Supplements · 2003
Typearticle
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsIvabradineIntravascular ultrasoundMedicineCardiologyCoronary atherosclerosisInternal medicineHeart rateClinical trialCoronary heart diseaseBlood pressure

Abstract

fetched live from OpenAlex

Experimental data have shown that reduction in atherosclerosis progression can be obtained through chronic heart rate reduction. Heart rate is significantly correlated with the severity and progression of atherosclerosis on coronary angiography in patients. Limitation of the progression of atherosclerosis may therefore become an important therapeutic target of the specific heart rate reducing agent ivabradine. The ability of intravascular ultrasound (IVUS) to assess plaque burden precisely makes it the ideal tool for a clinical trial of progression and regression of atherosclerosis. The present article provides an overview of the design and of some methodological features of a clinical trial to assess the effects of ivabradine on the progression of coronary atherosclerosis, as assessed by IVUS.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.045
GPT teacher head0.339
Teacher spread0.294 · 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

Citations4
Published2003
Admission routes1
Has abstractyes

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