Management of malignant wound myiasis with ivermectin, albendazole, and clindamycin (triple therapy) in advanced head-and-neck cancer patients: A prospective observational study
Bibliographic record
Abstract
INTRODUCTION: Myiasis, tissue infestation by housefly larvae, is commonly found in malignant fungating wounds of cancer patients from climatic condition and lower socio-economic strata. AIM OF STUDY: It was aimed to study the effectiveness of systemic Ivermectin, Albendazole& Clindamycin (Triple Therapy) in reducing signs & symptoms associated with maggots in malignant head and neck wounds. METHOD: 25 adult, advanced head and neck cancer patients presenting with maggots either from wound, oral cavity or nostril, with ECOG score 3 or less were enrolled in this study. Symptoms were assessed using Edmonton Symptom Assessment Scale (ESAS) and wound by Wound Assessment Tool - Hospice, at baseline and then Days 1, 3, 5, and 7. All patients received 3 days course of oral Ivermectin 12 mg per day, Albendazole 400 mg twice per day and Clindamycin 300 mg three times per day for 5 days along with Terpentine oil dressing. All patients received oral Morphine as per their pain score. RESULTS: = <0.05) in scores of wound and all other related symptoms on days 1, 3, 5 & 7, except bleeding, edema, nausea, anxiety, appetite loss and feeling of wellbeing, which remained same on Day 1, but improved afterward. Side effects were self-limiting. CONCLUSION: Systemic treatment with Ivermectin, Albendazole and Clindamycin (Triple Therapy) enhances the removal of maggots, early recovery and relief from distress and associated symptoms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".