MétaCan
Menu
Back to cohort
Record W2607814179 · doi:10.1186/s12872-017-0540-3

Effect of ivabradine on cardiovascular outcomes in patients with stable angina: meta-analysis of randomized clinical trials

2017· review· en· W2607814179 on OpenAlexaff
Hayelom Gebrekirstos Mengesha, Berhe Weldearegawi, Pammla Petrucka, Tadese Bekele, Mala George Otieno, Abraha Hailu

Bibliographic record

VenueBMC Cardiovascular Disorders · 2017
Typereview
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIvabradineMedicineCoronary artery diseaseInternal medicineHeart failureCardiologyMeta-analysisAngiologyAnginaRandomized controlled trialCardiac surgeryAdverse effectClinical trialDrugEfficacyHeart rateIntensive care medicinePharmacologyBlood pressureMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Although there are established drugs for treatment of cardiovascular diseases, due to adverse effects these drugs may not be clinically applicable to all patients. Recent trends have seen the emergence of drugs which act on funny current channels to induce selective heart rate reduction. Ivabradine is one such drug developed for coronary artery disease and heart failure. There is inconsistent evidence about the effect of this selective inhibitor in reduction of cardiovascular related mortality and morbidity. Such an inconsistency warrants the need for a meta-analysis to consider the effectiveness and efficacy of Ivabradine in the treatment of coronary artery disease and heart failure. METHODS: Randomized controlled trials with a minimum follow-up period of one year were searched in Pub Med/Medline, Embase, Cochrane Central Register of Controlled Trials published between 1980 and 2016.Each eligible study was assessed for risk of bias by using the Cochrane Risk of Bias Assessment tool. The outcomes assessed in this study included: all cause mortality, cardiovascular-related mortality, hospitalization for new or worsening heart failure, and adverse events. Subgroup analysis and publication bias were assessed. We used Mantel-Haenszel method for random-effects. Analysis was done using RevMan5.1™.This study was registered in PROSPERO as [PROSPERO 2016:CRD42016035597]. RESULT: Three trials with a total of 36,577 participants met the meta-analysis criteria. Pooled analysis showed that ivabradine is not effective in reducing cardiovascular deaths (OR: 1.02; CI:0.91-1.15,P = 0.74), all-cause mortality (OR:1.00; CI:0.91-1.10,P = 0.98), coronary revascularization (OR: 0.93, CI: 0.77-1.11, P = 0.41) and hospital admission for worsening of heart failure (OR: 0.94, CI: 0.71-1.25, P = 0.69). However, the drug was found to significantly increase adverse events: phosphenes (OR:7.77, CI: 4.4-14.6,P < 0.00001), blurred vision (OR:3.07,CI:2.18-4.32,P < 0.00001), symptomatic bradycardia (OR: 6.23, CI: 4.2-9.26, P < 0.00001), and atrial fibrillation (OR: 1.35, CI: 1.19-1.53, P < 0.0001). Subgroup analysis by duration of follow up on cardiovascular outcomes found that there is no difference in effect of ivabradine depending on the duration of follow up. There was no publication bias in reporting of included studies. CONCLUSION: This meta-analysis suggests that ivabradine is not effective in reducing cardiovascular-related morbidity and mortality unless used for specific conditions. On the contrary, the use of this drug was strongly associated with the onset of untoward and new adverse events. This finding strongly supports previous findings and further informs the rational and evidence-informed clinical use of ivabradine.

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)0.030
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.051
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0280.064
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.181
GPT teacher head0.448
Teacher spread0.267 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations25
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueBMC Cardiovascular DisordersSame topicHeart rate and cardiovascular healthFrench-language works237,207