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Clinical effect of 595 nm tunable pulsed pulsed dye laser treatment of fresh trauma scars

2019· article· en· W3030065776 on OpenAlexaboutno aff
Huawei Ouyang, Jun Tan, Gaofeng Li

Bibliographic record

VenueZhongguo yishi zazhi · 2019
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsVascularityScarsMedicineDye laserLaserPulsed laserFluenceClinical efficacySurgeryNuclear medicineOptics

Abstract

fetched live from OpenAlex

Objective To investigate the clinical effect of 595 nm tunable pulsed dye laser (PDL) in treating fresh trauma scars. Methods 85 patients had been selected, of which, 117 sites were treated with a 595 nm tunable PDL one time or two times at a fluence of 7-15 J/cm2 and pulse widths of 1.5-3 ms, 7 mm spot size. Nursing skill of burn wound was also used on treatment area after laser treatment. Scars were evaluated for melanin, height, vascularity and pliability using the Vancouver Scar Scale (VSS) before treatment and after the last treatment 8weeks. Results Total score of 117 sites decreased from (8.30±2.63) to (2.70±1.25), melanin decreased from (1.60±0.84) to (0.60±0.97), height decreased from (1.30±0.82) to (0.40±0.51), vascularity decreased from (2.40±0.52) to (0.40±0.52), pliability decreased from (2.80±1.32) to (1.30±0.48), with statistical significance between before treatment and after treatment (P<0.05). Conclusions 595 nm tunable pulsed dye laser appears to have a beneficial clinical effect on patient's fresh trauma scar. Key words: Lasers, dye; Laser therapy; Ointments; Cicatrix

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)0.000
metaresearch head score (Gemma)0.000
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.029
GPT teacher head0.368
Teacher spread0.339 · 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
Published2019
Admission routes1
Has abstractyes

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