Efficacy of medical grade honey against multidrug-resistant organisms of operational significance
Bibliographic record
Abstract
BACKGROUND: MEDIHONEY (Derma Sciences, Inc., Toronto, Ontario M1S 3S4, Canada) was cleared by the Food and Drug Administration for use on tramatic wounds, diabetic ulcers, and second-degree burns against normal skin flora but not necessarily against multidrug-resistant organisms (MDROs) infecting these wounds or its associated recovery and healing rate. METHODS: Here, we report on the efficacy of this medical grade honey treatment against two MDROs (Acinetobacter baumannii, methicillin-resistant Staphylococcus aureus [MRSA]). In this initial phase (Part I), an in-laboratory validation and characterization of the efficacy against antibiotic-resistant bacteria were performed in vitro. RESULTS: The antimicrobial resistance of both MDROs was confirmed in vitro using standard microbiology techniques and species' DNA signatures. The minimum inhibitory concentration of the MEDIHONEY was determined to be 3.5% for MRSA and 8.5% for A. baumannii. The minimum bactericidal concentrations determined against MRSA and multidrug-resistant A. baumannii were shown to be 9.5% and 10.5%, respectively. CONCLUSION: Our in vitro findings support the efficacy of MEDIHONEY against MRSA and A. baumannii as requested by first responders. We also conducted screening assays using other "supermarket brands" of honey. All cultures from the latter showed bacterial and fungal growths. The use of supermarket brand honey for wound treatment is discouraged.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
In vitro efficacy of medical grade honey against multidrug-resistant organisms; 'validation' here is laboratory antimicrobial testing, and the object is wound treatment.
The study tests medical honey against resistant organisms, not research itself.
Clinical microbiology efficacy of medical-grade honey against pathogens; therapeutic domain.
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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".