Antisense therapy to block the Kallikrein-kinin pathway in COVID-19: The ASKCOV randomized controlled trial
Bibliographic record
Abstract
PURPOSE: To assess the effect of antisense therapy to block kallikrein-kinin pathway in COVID-19 patients. MATERIAL AND METHODS: Randomized, placebo-controlled, double blind, controlled trial enrolling hospitalized COVID-19 patients that required supplementary oxygen to sustain peripheral oxygen saturation. Key exclusion criteria included use of mechanical ventilation or vasopressors, and patients with more than 10 days since symptom onset or more than 48 h of oxygen use. Patients were randomized to either one subcutaneous dose of ISIS721744, an antisense that blocks prekallikrein, or placebo. The primary outcome was the number of days alive and free of oxygen support up to 15 days (DAFOR15). Secondary endpoints included organ failure score, need and duration of mechanical ventilation up to 15 days, and all-cause mortality at 30 days. Exploratory endpoints included physiological parameters, biomarkers, and quality of life. RESULTS: From October 10, 2020, to December 09, 2020, 111 patients were randomized at thirteen sites in Brazil (56 to treatment and 55 to control group). Average age was 57.5 years, and most patients were male (68.5%). There were no significant differences in DAFOR15 between groups (5.9 ± 5.2 days for the intervention arm and 7.7 ± 5.1 for the control group; mean difference - 0.65, 95% confidence intervals from -2.95 to 1.36, p = 0.520). CONCLUSION: Antisense therapy designed to block the kallikrein-kinin pathway did not demonstrate clinical benefits in increasing days-alive without respiratory support at 15 days in patients with COVID-19 during the first wave in 2020. GOV IDENTIFIER: NCT04549922.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".