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Ivabradine for prevention of anthracycline-induced cardiotoxicity: a systematic review and meta-analysis

2025· article· en· W7127971752 on OpenAlexaff
J P Oliveira, C Fischer Bacca, R Huntermann, M Y Sato, R F Gomes, E S Melo

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsIvabradineEjection fractionCardiotoxicityPlaceboRandomized controlled trialHeart failureAnthracyclineClinical trial

Abstract

fetched live from OpenAlex

Abstract Background Anthracycline-based chemotherapy is highly effective against various malignancies but can lead to cancer therapy–related cardiac dysfunction, significantly impacting morbidity and mortality. Ivabradine, a heart rate–lowering agent that does not reduce contractility or blood pressure, has shown anti-inflammatory and antioxidant properties in preclinical models. However, its effectiveness in reducing anthracycline-induced cardiotoxicity is uncertain. Purpose We performed a systematic review and meta-analysis to determine whether ivabradine is cardioprotective in anthracycline-induced cardiac dysfunction, as assessed by global longitudinal strain (GLS) change, left ventricular ejection fraction (LVEF) change, and NT-proBNP change at 6 and 12 months of follow-up. Methods We searched PubMed, Embase, and Cochrane databases for randomized controlled trials (RCT) comparing ivabradine to placebo or standard care in adult patients who were undergoing anthracycline chemotherapy. We found three trials (total n=210) with one trial in patients with lymphoma or sarcoma (n=107) and two trials in patients with breast cancer (n=103). We extracted data on GLS at 6 months (Fig. 1a) and 12 months (Fig. 1b), LVEF at 6 months (Fig. 2a), and NT-proBNP at 6 months (Fig. 2b). Data were computed as mean difference (MD) with 95% confidence intervals (CI) and analyzed using a random-effects model; heterogeneity was assessed by the I² statistic. Results Three RCTs (210 patients) were included. Ivabradine significantly preserved GLS at 6 months (Fig. 1a) compared to controls (MD −0.87; 95% CI −1.47 to −0.27; p=0.004), but by 12 months (Fig. 1b), GLS was similar between groups (MD −0.37; 95% CI −1.04 to 0.30; p=0.28). LVEF at 6 months (Fig. 2a) did not differ (MD 0.28; 95% CI −0.90 to 1.46; p=0.64), and NT-proBNP at 6 months (Fig. 2b) also showed no difference between ivabradine and control (MD −3.89; 95% CI −14.71 to 6.92; p=0.48). Ivabradine was generally well tolerated, with few transient visual side effects. Conclusion Ivabradine was found to have significant benefit in the preservation of GLS at 6 months in patients receiving anthracyclines, a potential marker of early cardioprotection. However, the benefit was not sustained at 12 months, and no clear differences were observed with LVEF or NT-proBNP. The findings point toward a possible short-term protective effect of ivabradine, but larger multicenter studies are required to determine optimal dosage regimens, establish suitable subgroups that would be most likely to benefit, and examine long-term cardioprotective effects in patients receiving anthracycline-based chemotherapy.GLS after 6 months (A) and 12 months (B) A: LVEF after 6m, B: NT-pro BNP after 6m

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)0.008
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.025
Bibliometrics0.0040.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.096
GPT teacher head0.386
Teacher spread0.290 · 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
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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