A Randomized Investigation of Icosapent Ethyl in Outpatients with COVID-19: Results from the VASCEPA-COVID-19 CardioLink-9 Trial
Bibliographic record
Abstract
Coronavirus disease 2019 (COVID-19) has had immense global implications on morbidity and mortality. At present, the development of therapeutic agents to combat COVID-19-related insults are considerably restrained. Safe and effective treatment options are urgently needed to reduce disease proliferation, inflammation and symptomatology. In response, the open-label VASCEPA-COVID-19 trial randomized 100 symptomatic COVID-19-positive outpatients in Toronto, Canada, to icosapent ethyl or usual care. Over a 14+3-day follow-up period, treatment with icosapent ethyl (4 g twice per day for 3 days, followed by 2 g twice per day for 11 days) was shown to significantly reduce high-sensitivity C-reactive protein, as well as, improve symptomatology. This study provides novel evidence of icosapent ethyl to have an early anti-inflammatory impact in a modest sample size of COVID-19 ambulatory patients, including the first demonstration of a well-tolerated icosapent ethyl loading dose. ClinicalTrials.gov Identifier: NCT04412018.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".