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Record W4409023842 · doi:10.1093/jbcr/iraf019.156

527 Bromelain Debridement’s Effect on the Surgeon’s Burn Wound Depth Assessment

2025· article· en· W4409023842 on OpenAlexaboutno aff
Alba Paulsen, Lucy Wibbenmeyer, Alexander Kurjatko, Robert Bertellotti, Shady N. Hayek, Siri Pothula, Colette Galet

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBromelainDebridement (dental)Burn woundSurgeryWound closureWound healing

Abstract

fetched live from OpenAlex

Abstract Introduction Most surgeons rely on visual inspection to determine the healing capacity of burn wounds. For indeterminate wounds, this can create delays in care on one hand or unnecessary surgery on the other. We report herein the effect of bromelain debridement (BD) on the assessment of indeterminate wounds. Methods Three surgeons reviewed 92 images (46 pre- and 46 post-BD treatment) of burn wounds from 31 patients who were previously treated with BD as part of the NEXT study (Mediwound). The images were labeled pre or post BD treatment but were otherwise deidentified and placed in random order. Each surgeon was asked to estimate wound depth defined as the percent superficial partial (SPT), deep partial (DPT), and full thickness (FT), time to heal (< 1, 1, 2, or ≥3 weeks), and if grafting would be required. Intra class correlation (ICC) was used to assess inter-rater agreement for SPT, DPT and FT ratings as well as time to heal. P < 0.05 was considered significant. Results Most patients were male (64.5%), white (68.6%), and young (mean 37 years of age). Most suffered flame burns (64.5%); the median burn size was 8.3%. Twenty-five patients had one wound and six had two or more wounds treated with BD. Grafting was performed on 20 wounds on a total of 11 patients. Wounds not grafted healed significantly faster than those grafted (2 [IQR 1-3.25] vs. 4 [IQR 2.25-5] weeks; p < 0.001) with a significantly lower Modified Vancouver Scar Scale (MVSS) score (3 [range 0 to 10] vs. 5 [range 1-14]; p = 0.024). Interrater agreement increased significantly post-BD treatment for SPT and DPT assessments compared to pre-BD treatment (ICC 0.864 and 0.876 respectively, p < 0.001 compared to -0.052 and -0.689 respectively, p = 0.567 and 0.973). BD treatment also improved the interrater agreement when estimating time to heal pre- and post-BD treatment (ICC = 0.539 pre-BD vs 0.652 post). BD treatment did not improve the agreement on the need for skin grafting which remained slight pre- and post-BD treatment (ICC = 0.213 and 0.227, p = 0.012 and 0.008). Conclusions BD treatment significantly increased the agreement between surgeons on estimating partial thickness wounds and time to heal. However, it did not clarify need for a skin graft. As the latter is largely subjective and based on several factors, we postulate a larger homogenous rater pool may be needed to assess whether BD treatment improves surgeons’ ability to estimate the need for skin grafting. Applicability of Research to Practice BD may increase the ability of surgeons to estimate wound depth and time to heal. More research is needed to determine if it effects surgical decision making. Funding for the Study N/A

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.057
GPT teacher head0.448
Teacher spread0.391 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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