NSAIDs/Nitazoxanide/Azithromycin Immunomodulatory Protocol Used in Adults, Children and Pregnant COVID-19 Patients: An Egyptian Prospective Observational Study.
Bibliographic record
Abstract
Updated, peer reviewed and published at Canadian Journal of Medicinehttps://cjm.cikd.ca/article_60573.html To date no treatment protocol of proven efficacy was approved to manage COVID-19. We have developed a novel COVID-19 immunomodulatory protocol basing on our early pioneering article that justified repurposing of nitazoxanide/azithromycin combination for early cases of COVID-19 which was followed by two articles to justify addition of non-steroidal anti-inflammatory drugs to nitazoxanide/azithromycin. We are presenting a prospective telemedicine protocol that managed more than 50 documented COVID-19 patients while fully presenting a case series of 36 patients/legal guardians COVID-19 Arab patients including 12 confirmed by PCR and 23 diagnosed by other measures. The patients included 14 adult males including an immunocompromised patient, 15 adult females including one lactating, 3 pregnant patients including one confirmed by PCR as well as 4 children. All patients have received a short 5-day-regimen of NSAIDs (diclofenac potassium in most of cases, ibuprofen, lornoxicam, meloxicam, celecoxib, naproxen, ketoprofen or ketorolac)/nitazoxanide/azithromycin +/- cefoperazone either in full or in part as illustrated in the manuscript. The primary endpoint of this protocol was full relief of all serious COVID-19 clinical manifestations and it was fully achieved in all patients within two weeks. Most of the patients treated early have fully recovered during its described five days; the leucocytic/lymphocytic count was significantly improved for those with prior leucopenia/lymphopenia. No significant adverse effects were reported. A novel 5-day-protocol to safely and effectively cure COVID-19 using repurposed immunomodulatory safe and inexpensive FDA approved drugs is illustrated and we recommend performing sufficiently powered double blind randomized clinical trials against any current standard protocol.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".