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A Randomized Crossover Investigation of Pain at Dressing Change Comparing 2 Foam Dressings

2009· article· en· W2144497631 on OpenAlexaffabout
Kevin Woo, Patricia Coutts, Patricia Price, Keith G Harding, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2009
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineSiliconeRandomized controlled trialCrossover studySurgery

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.338
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations52
Published2009
Admission routes2
Has abstractyes

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