Remdesivir for the Treatment of COVID-19, its Safety and Clinical Effectiveness: A Clinical Review
Bibliographic record
Abstract
Remdesivir is a nucleotide analog pro-drug and antiviral medicine with broad spectrum effectiveness against viruses from several families. After exhibiting strong antiviral activity against coronaviruses in preclinical studies, remdesivir was approved as a specific drug for the treatment of the novel coronavirus disease 2019 (COVID-19), which was caused by the infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the current global pandemic. The Remdesivir COVID-19 phase III evaluation began in early 2020, and preliminary findings are promising. For people with severe COVID-19, Taiwan temporarily approved the use of Remdesivir in late May 2020. The approval was quickly followed by a number of conditional permits in many countries/regions, including the United States of America (USA) and Canada. Remdesivir had already been granted emergency use authorization in the USA on May 1, 2020 and special authorization for emergency use in Japan on May 7, 2020. This article provides a summary of remdesivir's development and the significant events that led to its initial conditional approval for the treatment of COVID-19.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".