MétaCan
Menu
Back to cohort
Record W4213364052 · doi:10.1111/iwj.13775

Combination of fractional carbon dioxide laser and topical triamcinolone vs intralesional triamcinolone for keloid treatment: A randomised clinical trial

2022· article· en· W4213364052 on OpenAlexaboutno aff
Niti Tawaranurak, Pitchaya Pliensiri, Krongthong Tawaranurak

Bibliographic record

VenueInternational Wound Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
FundersFaculty of Medicine, Prince of Songkla University
KeywordsMedicineKeloidTriamcinolone acetonideCarbon dioxide laserRandomized controlled trialGroup BSurgeryUrologyLaserLaser surgery

Abstract

fetched live from OpenAlex

Abstract To compare the therapeutic effect of fractional carbon dioxide (CO 2 ) laser + topical triamcinolone (TA) with intralesional TA on keloids. Twenty‐two participants were randomised into two groups: group A, treated with fractional CO 2 laser + topical TA, and group B, treated with intralesional TA. The interventions were performed at every 4‐week interval until the keloids were resolved or at the completion of 1 year. At each session, the scar volume, Vancouver Scar Scale (VSS) were assessed. Recurrence was observed for 1 year. The mean scar volumes and VSS scores were not significantly different between the two groups. After 1 year, the scar volume change in group B was greater than group A (86.5% vs 59.1%, P ‐value = .016). The mean VSS scores were significantly decreased in group A (8.0 ± 1.5 to 4.8 ± 1.6, P ‐value <.001) and group B (8.4 ± 0.8 to 4.8 ± 1.6, P ‐value <.001). The keloids were completely resolved in 63.6% and 72.7% of the patients, and recurrence was observed in 9.1% and 18.2% of the patients in groups A and B, respectively. The combination of fractional CO 2 laser with topical TA was an alternative option for the treatment of keloids.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.082
GPT teacher head0.405
Teacher spread0.323 · 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 designRandomized trial
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

Citations26
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Wound JournalSame topicDermatologic Treatments and ResearchFrench-language works237,207