MétaCan
Menu
Back to cohort
Record W1926944110 · doi:10.5603/cj.2015.0068

Can ivabradine reduce NT-proBNP and improve outcomes in systolic heart failure?

2015· letter· en· W1926944110 on OpenAlexaboutno aff
Giuseppe Cocco, P Jerie

Bibliographic record

VenueCardiology Journal · 2015
Typeletter
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsnot available
Fundersnot available
KeywordsIvabradineMedicineCardiologyInternal medicineHeart failureEjection fractionMyocardial infarctionClinical endpointCanadian Cardiovascular SocietyCoronary artery diseaseHeart rateBlood pressureClinical trialAngina

Abstract

fetched live from OpenAlex

Article p. 501 Ivabradine selectively reduces heart rate (HR) by inhibiting If of the sinus node. The BEAUTIFUL trial has shown that ivabradine is ‘beneficial’ in patients who suffered from coronary artery disease (CAD) with systolic heart failure (HF) (ejection fraction [EF] 32%) without evidence of overt HF. Added to standard therapy ivabradine did not significantly the primary composite endpoint (admission to hospital for new onset or worsening HF, admission to hospital for acute myocardial infarction or cardiovascular death); however, in a subgroup of patients with baseline HR > 70 bpm (mean 79 bpm) ivabradine significantly decreased (–36%) the risk for fatal and non-fatal acute myocardial infarction, and (–30%) the risk of coronary revascularization [1]. In the SHIFT trial patients with systolic HF (EF 70 bpm, and who received optimized background therapy according to guideline recommendations were treated with ivabradine or placebo. A higher HR ≥ 75 bpm at entry, there was a significant reduction in the cardiovascular death and all-cause mortality endpoints [2]. Patients on ivabradine with an HR reduction (11 bpm) had an 18% decrease of composite endpoint; this result was primarily driven by a reduction (–26%) in hospital admissions for worsening HF [3, 4]. In patients with HF, due to ischemic etiology with left ventricular diastolic dysfunction and preserved systolic function ivabradine is poorly effective [5]. Importantly, in the SIGNIFY trial, in patients who had stable CAD (Canadian Cardiovascular Society [CCS] class ≥ 2) without clinical HF, and who were treated with guideline-recommended medical therapy, the addiction of ivabradine did not improve the outcome; furthermore, adverse events occurred statistically (p < 0.001 for all class comparisons) more frequently with ivabradine than with placebo [6]. Adverse events led to studydrug withdrawal in 13.2% of the ivabradine-group and in 7.4% of the placebo group (p < 0.001) [2]. Ivabradine significantly increased the frequency of symptomatic bradycardia, atrial fibrillation and phosphenes.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.026
GPT teacher head0.294
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCardiology JournalSame topicHeart rate and cardiovascular healthFrench-language works237,207