SARS-CoV-2 accelerated clearance using a novel nitric oxide nasal spray (NONS) treatment: A randomized trial
Bibliographic record
Abstract
Additional outpatient therapies which are readily accessible will be essential to reduce COVID-19 illness progression in high risk individuals. Especially as the virus continues to mutate with greater transmissibility despite increased global vaccination. A randomized, double-blind, multicentre, parallel group, placebo-controlled phase III clinical trial evaluated the ability of nitric oxide (NO) to rapidly eradicate nasal SARS-CoV-2 RNA. Adults (18–70 years) with mild symptomatic COVID-19 were randomized, confirmed by laboratory SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR) nasal swab. Randomisation was 1:1, NONS (N = 153) vs placebo (N = 153). NO generated by a nasal spray (NONS) was self-administered six times daily as two sprays per nostril (0⋅45 mL of solution/dose) for seven days. Patients at high risk of illness progression, defined as unvaccinated, ≥ 45 years of age or having comorbidities, were the primary analysis population. Overall, mean SARS-CoV-2 RNA concentrations (6·96 log10 copies/mL in the NONS group and 7·16 log10 copies/mL in the placebo group) were comparable at baseline. Primary endpoint mean treatment difference SARS-CoV-2 RNA change from baseline to the end of treatment (EOT) was -0·52 copies/mL (SE 0·202, 95% CI -0·92 to -0·12; p = 0·010) with NONS compared to placebo. Secondary endpoint assessments demonstrated a greater proportion of patients receiving NONS (82·8%) cleared SARS-CoV-2 (RT-PCR negative) by EOT compared to placebo (66·7%, p = 0·046), with no virus RNA detected a median of four days earlier compared to placebo (three vs seven days; p = 0·044). Use of NONS in patients recently infected with SARS-CoV-2 accelerates nasal virus clearance. Funding provided by Glenmark Pharmaceuticals Limited. Study medication provided by SaNOtize.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".