The Use of Silver Oxynitrate Wound Dressings in the Treatment of Chronic Wounds: A Feasibility Pilot Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the feasibility and effectiveness of a silver oxynitrate (Ag 7 NO 11 ) dressing on wound healing in patients with stalled chronic wounds. METHODS: A prospective pilot study was conducted to determine the feasibility and effect of using silver oxynitrate dressings within an outpatient setting in Alberta, Canada. A total of 23 patients (12 women and 11 men; mean age, 66.1 ± 13.8 years) with a chronic wound that failed to heal with conventional treatment were included in the study. Wound assessments including the Bates-Jensen Wound Assessment Tool, wound-related pain, wound size, and patient quality of life (QoL) were conducted at baseline, after dressing application for 1 and 2 weeks, and during 4- and 12-week follow-ups. RESULTS: Dressing application at 1 and 2 weeks improved patients' wound healing progression as measured through significantly decreased Bates-Jensen Wound Assessment Tool scores with a more than 10% decrease at 4- and 12-week follow-up ( P < .001). Pain ( P = .004), and QoL psyche subscore ( P = .008) significantly improved at 4-week follow-ups, although wound area, perimeter, and QoL body and everyday subscores were not significantly affected. Wound size was not significantly affected. CONCLUSIONS: The silver oxynitrate dressing may improve healing progression in patients with chronic wounds, enhance patient experience by reducing wound-related pain, and improve patients' mental well-being. Further studies are warranted to elucidate the effect of silver oxynitrate dressings on wound area, perimeter, and volume measurements.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".