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Record W4409023569 · doi:10.1093/jbcr/iraf019.023

23 Wound Characteristics and Other Predictive Factors of Hypertrophic Scarring in Pediatric Burns

2025· article· en· W4409023569 on OpenAlexaboutno aff
J M T Willoughby, Kathy Prelack, Delaney Moslander

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypertrophic scarsIntensive care medicineSurgeryDermatologyScars

Abstract

fetched live from OpenAlex

Abstract Introduction Though generally accepted, it is not a definitive rule that burn injuries under 10% TBSA that heal in less than 21 days will have no scarring. The aim of this study was to assess what factors impact the likelihood of a child developing hypertrophic scarring secondary to a burn injury healed under 21 days compared to those who healed over 21 days. Methods A retrospective study of 2,016 pediatric patients with burn injuries under 10% TBSA from a five-year period at a single burn center’s outpatient clinic was conducted. Descriptive statistics, Chi-square analysis, and logistic regression were used to describe the patients, compare those who developed scars to those who did not, and identify which factors increased a patient’s odds of developing hypertrophic scarring. A scar was considered present if the patient’s chart included a Modified Vancouver Scar Scale score or if medical notes or photography indicated a raised scar. Results Of the patients reviewed, 1,667 patients healed under 21 days, 349 healed over 21 days, and 13.5% of all patients developed hypertrophic scarring. There were three factors that significantly predicted higher odds of developing hypertrophic scarring in both populations: deeper wounds (OR = 13.324, p < 0.001; OR = 0.344, p = 0.018), increased time to healing (OR = 11.819, p < 0.001; OR = 0.254, p < 0.001), and higher %TBSA (OR = 1.497, p < 0.001; OR = 0.860, p = 0.039). This research indicated that children with Fitzpatrick skin type 6 whose wounds healed in over 21 days were less likely to develop hypertrophic scars than patients with lighter skin tones (OR = 5.426; p = 0.010). In the under 21 days group, being born female significantly increased the odds of hypertrophic scarring (OR = 1.934; p = 0.014). Additionally in this group, injuries on any part of the upper extremity, anterior trunk, thighs, head or face were significantly less likely to develop hypertrophic scarring than injuries on the palmar hand. Conclusions The results of this study are consistent with previous findings that larger and deeper wounds taking longer to heal are more likely to develop hypertrophic scarring. Contrary to previous research, patients with Fitzpatrick skin type 6 had lower odds of developing hypertrophic scarring. This result should be interpreted with caution as only 4.86% of all patients were Fitzpatrick skin type 6. The model accurately predicted scarring in the over 21-days group 64.8% of the time. However, within the under 21-days group, the model was only able to accurately predict development of hypertrophic scarring 5.5% of the time. Applicability of Research to Practice The ability to identify children who are at risk for development of hypertrophic scarring allows practitioners to provide interventions sooner to help decrease the sequelae from troublesome scars. 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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.386
Teacher spread0.335 · 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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