Ivermectin to Prevent Disseminated Strongyloides Infection in Patients with COVID-19
Bibliographic record
Abstract
Ivermectin, an antiparasitic agent, is currently not recommended for prophylaxis or treatment of COVID-19. Inappropriate use of ivermectin for COVID-19 may make it unavailable for patients who could benefit from its use (i.e., patients with serious parasitic infections) and reduce the already limited supply of ivermectin in Canada. However, patients with COVID-19 who receive immunomodulatory therapies (e.g., corticosteroids including dexamethasone, interleukin-6 inhibitors including tocilizumab) may be at risk of dissemination/hyperinfection syndrome from Strongyloides stercoralis, which can be fatal. We have developed a strategy to safely manage strongyloidiasis risk and infection in the setting of ivermectin shortage. Patients admitted to hospital with COVID-19 and at high epidemiologic risk for strongyloidiasis should be screened with serology. If a patient’s strongyloides serology is reactive or indeterminate, these patients should receive ivermectin to avoid the potential for parasitic dissemination/hyperinfection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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".