Overview of the regulatory approval of tecovirimat intravenous formulation for treatment of smallpox: potential impact on smallpox outbreak response capabilities, and future tecovirimat development potential
Bibliographic record
Abstract
INTRODUCTION: Tecovirimat oral capsule formulation is approved in the US and Canada for treatment of smallpox and in the United Kingdom (UK) and European Union (EU) for treatment of multiple human orthopoxvirus diseases, including mpox. Smallpox is considered a serious threat, and there is currently an unprecedented global mpox outbreak. AREAS COVERED: A brief summary of the threat of smallpox, the threat of increasing mpox spread in endemic regions, and the unprecedented emergence of mpox into non-endemic regions is presented. The tecovirimat intravenous formulation clinical development program leading to USFDA approval for smallpox treatment is discussed. EXPERT OPINION: As of January 2023 tecovirimat is approved to treat mpox in the UK and EU. However, published clinical trial data evaluating tecovirimat efficacy and safety in mpox patients is pending. Increasing global prevalence of mpox highlights the potential benefits of a well-characterized, effective, and safe antiviral treatment for mpox infection. Ongoing trials in mpox patients may provide results supporting the use of tecovirimat to treat this disease. USFDA approval of tecovirimat for post-exposure prophylaxis in the event of a smallpox release, and the development of pediatric liquid formulations for patients under 13 kg, could provide additional public health benefits.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".