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Record W6996687107

A Study on Post-burn Healing: Optimising Scar Outcome Through the Use of a Silicone-based Film-forming Wound Dressing

2022· article· en· W6996687107 on OpenAlexaboutno aff

Bibliographic record

VenueResearchOnline@ND (The University of Notre Dame) · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsSiliconeWound healingWound careBurn woundHypertrophic scarWound dressing
DOInot available

Abstract

fetched live from OpenAlex

Introduction The development of scarring is a normal physiological response during burn wound healing for any except the most trivial of injuries. Burn scarring can cause considerable functional and psychological anguish in burn survivors. Prolonged wound healing has been shown to affect scarring outcomes. Superficial cutaneous wound injuries carry a risk of scarring and altered pigmentation after the wound has healed. The primary aim of this study was to explore the effects of topical silicone on the rate of wound healing in superficial wounds. Secondary aims included investigation of scar and pain outcomes. Methods This thesis presents two studies which explored the efficacy of topical silicone film-forming dressings (StrataXRT and Stratamed) in comparison to standard care. Two independent double-blinded, single-centre, randomised controlled studies were conducted, one focussed on donor sites of split thickness skin grafts (STSG) using StrataXRT, and the other, superficial partial thickness (SPT) face and neck burns using Stratamed. For both studies, time to healing (TTH) was the primary outcome of interest. Secondary outcomes included 1) scar assessments (modified Vancouver Scar Scale; Dermalab Combo and Patient and Observer Scar Assessment Scale) at six weeks and three months, and 2) pain intensity scale during dressing changes. In the donor site study, 30 eligible burn patients requiring surgery aged between 18 and 80 years with a donor site wound ≤ 3% total burn surface area (TBSA) were enrolled. The intervention, StrataXRT, was randomly assigned to one half of the donor site or a single donor site where multiple donor passes were required, within the same patient and applied underneath standard care calcium alginate dressings. In the facial burn patient study, 55 patients aged between 18 and 80 years with a non-epithelialised superficial partial thickness face or neck burns were randomised to receive Stratamed or standard care emollient for the topical management of their wounds. Results Of the 30 participants enrolled in the donor study, 24 (80%) were male. Median age was 39 years with a range from 20 years to 76 years. Donor site size ranged from 0.1% to 3% TBSA. The median TTH for the intervention group was 10 days (CI 8 - 12) and the control group was 9 days (CI 8 - 10) There was no evidence of a statistical difference observed in time to healing, pain and scar outcomes. Of the 55 participants in the face/neck study, 34 (62%) were male. Median age was 36 years with a range from 25 to 47 years. The median TTH for the intervention group was 9 days (CI 7.6 -10.4) and the control group was 7 days (CI 5.3- 8.7), this result was not significant, p = 0.056. The silicone intervention group exhibited significantly reduced scar pigmentation at six weeks in mVSS scores for the intervention group (Md = 0, IQR = 0) compared to the control group (Md = 0, IQR = 0 - 3), p = 0.043. There was no significant difference in pain between the intervention group (Md = 1.15, IQR 0.3 – 4.5) and the control group (Md = 1.5, IQR 0.6 – 3.8), z = -0.63, p = 0.53. No, adverse events were associated with the topical silicone in either study. Conclusion These studies were unable to show any clinically applicable advantage over standard care through the use of topical silicone dressings on donor site wounds and SPT burn wounds of the face and neck. The observation that silicone film-forming dressing systems were associated with a reduction in scar pigmentation and no observed adverse events warrants further studies.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.235
GPT teacher head0.321
Teacher spread0.086 · 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 designSimulation or modeling
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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