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[Clinical effects of different modes of ultra pulse carbon dioxide fractional laser used in combination on the treatment of hypertrophic scar on face and neck].

2016· article· en· W2521510447 on OpenAlexaboutno aff
Ying Lei, S F Li, Yu You, Jun Tan

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePulse (music)LidocaineHypertrophic scarsHypertrophic scarScarsLaserSurgeryAnesthesiaOptics

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the clinical effects of ultra pulse mode of ultra pulse carbon dioxide fractional laser combined with Deep FX mode or Scaar FX mode on the treatment of patients with hypertrophic scars on face and neck. METHODS: One hundred and fifty-eight patients with hypertrophic scars on face and neck who met the inclusion criteria were admitted to Hunan Provincial People's Hospital from January 2012 to January 2015. Firstly, the scar areas were cleaned and given compound lidocaine cream for surface anesthesia. Then the scar areas were treated with ultra pulse mode of ultra pulse carbon dioxide fractional laser, with energy from 150 to 175 mJ, frequency of 40 Hz, hole to hole distance of 4 mm or 5 mm, and the treatment time of each hole of 2 s or 3 s. For mild scar, Deep FX mode was added for treatment with energy from 30 to 50 mJ, frequency of 300 Hz, and density of 5%; for moderate and severe scar, Scaar FX mode was additionally used for therapy, with energy from 80 to 150 mJ, frequency of 300 Hz, and density of 3%. The above-mentioned treatments were performed per three months, totally for 3 times, 10-15 min per treatment. After each treatment, wounds were moisturized and given sun protection. Before the first treatment and 6 months after treatment of 3 times, the curative effect was assessed by Vancouver Scar Scale (VSS) and University of North Carolina Scar Scale. Six months after treatment of 3 times, satisfaction degree of patient and loss of working time were recorded. The adverse effects of whole treatment course were recorded. Data were processed with t test. RESULTS: (1) Six months after treatment of 3 times, VSS score of patients was (3.1±1.0) points, which was significantly lower than that before the first treatment [(9.4±1.8) points, t=53.096, P<0.05]; University of North Carolina Scar Scale score of patients was (1.6±0.7) points, which was significantly lower than that before the first treatment[(8.0±1.4) points, t=63.730, P<0.05]. (2) Six months after treatment of 3 times, 150 patients were very satisfied with the curative effect, 6 patients were satisfied, and 2 patients were relatively satisfied. The loss of working time of patients was 10-15 (10.5±0.3) d. (3) During the treatment, mild erythema appeared in 5 patients which disappeared without treatment; pigmentation appeared in 6 patients 2 weeks after the first treatment, and pruritus and rash appeared in 2 patients 3 days after the first treatment, which were all improved with pharmaceutical therapy. CONCLUSIONS: Ultra pulse mode of ultra pulse carbon dioxide fractional laser combined with Deep FX mode or Scaar FX mode has definitely clinical effect on patients with hypertrophic scars on face and neck with few adverse effects, which is worth to popularize and apply for clinic.

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 score0.005

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 head0.040
GPT teacher head0.298
Teacher spread0.258 · 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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Citations3
Published2016
Admission routes1
Has abstractyes

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