A Randomized Crossover Investigation of Pain at Dressing Change Comparing 2 Foam Dressings
Bibliographic record
Abstract
INTRODUCTION: Pain at dressing change is the result of several factors including trauma and skin stripping caused by the repeated removal of adhesive dressings. GOALS: To evaluate pain during dressing changes comparing a soft silicone foam dressing (Mepilex Border; Mölnlycke Health Care AB, Gothenburg, Sweden) with an adhesive hydrocellular polyurethane foam dressing (Allevyn Adhesive; Smith & Nephew, Hull, United Kingdom). METHODS: In this randomized crossover study, subjects were randomized to 1 of the 2 foam dressings for the first 2 scheduled follow-up visits. At visit 3, local wound treatment was switched to the alternate dressing until the end of the study (visits 4 and 5). Pain was measured with a visual analog scale and the Short-Form McGill Pain Questionnaire. The characteristics of the wound and the occurrence of adverse events were documented at each scheduled visit. RESULTS: A total of 32 patients entered into the study, and 26 patients completed all 5 follow-up study visits. Results indicated lower levels of pain at dressing removal and less periwound maceration in patients who were randomized to the silicone dressings. CONCLUSIONS: The results of this study indicate that soft silicone dressing is associated with less pain before and during dressing changes along with decreased periwound maceration.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".