Cardiac adverse events associated with remdesivir in COVID-19 patients: a systematic review and meta-analysis of randomised controlled trials
Bibliographic record
Abstract
OBJECTIVES: To evaluate whether remdesivir is associated with cardiac adverse events (CAEs), addressing concerns raised by basic experiments, clinical case reports and observational studies. DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE and Embase, searched from January 2020 to December 2023. STUDY SELECTION: Randomised controlled trials (RCTs) comparing remdesivir with placebo or standard care in patients with COVID-19, with a primary focus on cardiac safety. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included RCTs that evaluated the safety of remdesivir in patients with COVID-19 . Eligible studies were those that compared remdesivir with placebo or standard care in adult patientsCOVID-19 . Inclusion criteria emphasised safety outcomes, particularly CAEs, as primary endpoints. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-Harms guidelines. Risk of bias (RoB) was assessed using the Cochrane Collaboration tool. A random-effects model was used for data synthesis. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was applied to assess the certainty of evidence. The primary outcome was the incidence of any CAEs, defined as a composite of all reported cardiac-related harms. Secondary outcomes included specific CAEs such as arrhythmias, heart failure and myocardial disorders. RESULTS: We identified 1698 studies, of which seven RCTs met the inclusion criteria, comprising a total of 4566 participants. The RoB was assessed across multiple domains, with four RCTs showing low risk and three showing moderate risk in specific areas. Pooled analysis revealed no significant association between remdesivir use and CAEs (RR=0.84, 95% CI: 0.68 to 1.04, p=0.118). Subgroup analyses showed consistent findings across different patient demographics and comorbidities. GRADE assessment indicated moderate certainty for overall CAEs, low certainty for arrhythmias and heart failure (due to imprecision and study-level bias), and very low certainty for myocardial disorders (due to small sample size and indirectness). CONCLUSIONS: Contrary to preliminary concerns and case reports, our meta-analysis found no evidence of a statistically significant association between remdesivir and CAEs among patients with COVID-19 . These findings provide reassurance to clinicians regarding the safety profile of remdesivir in this patient population, supporting its use as an antiviral therapy in the treatment of COVID-19. Further research is warranted to validate these findings and to clarify whether remdesivir may have a neutral or potentially protective effect on cardiac outcomes. PROSPERO REGISTRATION NUMBER: CRD42022383647.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.074 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.027 | 0.045 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".