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Record W4400429947 · doi:10.1002/lsm.23822

Addressing Burn Hypertrophic Scar Symptoms Earlier: Laser Scar Revision May Begin as Early as 3–6 Months After Injury

2024· article· en· W4400429947 on OpenAlexaboutno aff
Victoria Slavinsky, J Wong, Bonnie C Carney, Davon Lee, Rebekah Allely, Jeffrey W. Shupp, Shawn Tejiram, Taryn E Travis

Bibliographic record

VenueLasers in Surgery and Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineScarsErythemaIntervention (counseling)ContractureIntense pulsed lightBurn injurySurgeryLaser treatmentPhysical therapyHypertrophic scarDermatologyLaser

Abstract

fetched live from OpenAlex

OBJECTIVES: laser (FLSR) is used to treat hypertrophic scars (HTSs) resulting from burn injuries, which are characterized by factors, such as erythema, contracture, thickness, and symptoms of pain and itch. Traditionally, waiting a year after injury for scar maturation before starting laser treatment has been recommended; however, the potential benefits of earlier intervention have gained popularity. Still, the optimal timing for beginning laser intervention in patients with HTSs remains uncertain. This study aims to evaluate the ideal timing for the initiation of FLSR for HTSs using several qualitative and quantitative assessment measures. It was hypothesized that early intervention would lead to similar improvement trends as later intervention, however, would be more ideal due to the shortened time without symptom relief for patients. METHODS: Patients who received three or more laser treatment sessions and completed both pre- and posttreatment evaluations were included in this analysis (n = 69). FLSR treatment was administered at 4-8-week intervals. Patients starting treatment before 6 months after injury were classified as the early-stage intervention group and those beginning treatment at 6-12 months after injury were classified as the late-stage intervention group. Demographic data, including the age of patients at the time of first treatment, age of scars at the time of first treatment, biological sex, ethnicity, Fitzpatrick skin type, and use of laser-assisted drug delivery, were collected by retrospective chart review. Patients were evaluated on six subjective scales and objectively for scar stiffness with durometry. For all scales, higher scores indicate worse scars. A two-way ANOVA, Student's t-test, and Mann-Whitney U-test were used to compare scores from the pre- to posttreatment evaluations. RESULTS: There were no significant differences between the groups for any of the demographic or scar-specific variables; thus, differences in outcome can be attributed to the timing of intervention. Both groups demonstrated an improvement in scars with treatment over time (p < 0.05). Both early- and middle-stage initiation showed scar symptom improvement in five out of six scales. In the late-stage intervention, the Patient and Observer Scar Assessment Scale-Patient average score did not show improvement. In the early-stage intervention, the Vancouver Scar Scale total did not show improvement. Quantitative evaluation of scar stiffness by durometry did not show symptom improvement in either group. The Scar Comparison Scale demonstrated the greatest improvement across groups. CONCLUSION: Laser treatment led to scar improvement in at least one scale at each stage of initiation. Both intervention timelines resulted in equivalent outcomes, and early intervention should be considered when initiating FLSR treatment in burn scars to alleviate symptoms earlier.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.034
GPT teacher head0.347
Teacher spread0.312 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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