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Record W2809222648 · doi:10.1111/jocd.12684

Intense pulsed light and laser treatment regimen improves scar evolution after cleft lip repair surgery

2018· article· en· W2809222648 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Cosmetic Dermatology · 2018
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMassageSurgeryIntense pulsed lightScar tissueLaserDermatologyOptics

Abstract

fetched live from OpenAlex

Summary Objective To observe the effects of intense pulsed light ( IPL ) and lattice CO 2 laser treatment on scar evolution following cleft lip repair. Methods Fifty cleft lip repair patients were enrolled in this study. Twenty‐five patients used conventional approach with scar cream massage combined with silica gel products after operation. While other 25 patients which received IPL and lattice CO 2 laser treatments. The treatments commenced 1 week after removal of stitches and observation of scar hyperplasia. Scar evolution was evaluated with the Vancouver scar scale ( VSS ) by postoperative photographs. Results Relative to the conventional approach, the laser treatments showed improved scar softening and flattening. These differences were reflected in the groups' significantly different VSS scores. Conclusion Intense pulsed light combined with lattice CO 2 laser treatment can improve cleft lip surgery scar pliability and appearance, while alleviating children from having to endure the pain of scar massage.

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.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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