Efficacy and safety of remdesivir in COVID-19 caused by SARS-CoV-2: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVES: Evaluation of remdesivir, an RNA polymerase inhibitor, for effectiveness in adults with COVID-19. DATA SOURCES: Electronic search for eligible articles of PubMed, Cochrane Central and clinicaltrials.gov was performed on 20 September 2020. PARTICIPANTS AND STUDY ELIGIBILITY CRITERIA: Only randomised controlled trials (RCTs) evaluating efficacy of remdesivir in COVID-19 were included for meta-analysis. INTERVENTIONS: Remdesivir was compared with standard of care. PRIMARY AND SECONDARY OUTCOMES: Primary outcome was mortality and secondary outcomes were time to clinical improvement and safety outcomes like serious adverse events, respiratory failure. STUDY APPRAISAL AND SYNTHESIS METHODS: Data synthesis was done with Cochrane review manager 5 (RevMan) V.5.3. Cochrane risk of bias V.2.0 tool was used for methodological quality assessment. The GRADE pro GDT was applied for overall quality of evidence. RESULTS: 52 RCTs were screened and 4 studies were included in analysis, with total of 7324 patients. No mortality benefit was observed with remdesivir versus control group (OR=0.92 (95% CI 0.79 to 1.07), p=0.30, moderate quality evidence). Significantly higher rates of clinical improvement (OR=1.52 (95% CI 1.24 to 1.87), p<0.0001, low quality) and faster time to clinical improvement (HR=1.28 (95% CI 1.12 to 1.46), p=0.0002, very low quality) was observed with remdesivir versus control group. Significant decrease was found in the risk of serious adverse events (RR=0.75 (95% CI 0.62 to 0.90), p=0.0003, low quality); however, no difference was found in the risk of respiratory failure (RR=0.85 (95% CI 0.41 to 1.77), p=0.67, very low quality evidence) with remdesivir. CONCLUSIONS: As per the evidence from current review, remdesivir has shown no mortality benefit (moderate quality evidence) in the treatment of COVID-19. From a cost-benefit perspective, it is our personal opinion that it should not be recommended for use, especially in low and lower middle income countries. TRIAL REGISTRATION NUMBER: PROSPERO registration number: CRD42020189517.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.158 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.026 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".