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Record W4414072698 · doi:10.1155/dth/6693871

Optimizing Laser Therapy: Efficacy and Safety of Picosecond 1,064 nm Nd:YAG Laser in Xanthelasma Palpebrarum Treatment

2025· article· en· W4414072698 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDermatologic Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsInstitute of Infection and Immunity
FundersHealth Commission of Hubei Province
KeywordsPicosecondLaserAdverse effectLesionLaser treatmentHyperpigmentation

Abstract

fetched live from OpenAlex

Background: Xanthelasma palpebrarum (XP) currently lacks a universally endorsed treatment approach. The utility of picosecond 1064 nm Nd:YAG lasers in XP management has not been explored. Objective: This study aimed to assess the efficacy and safety of picosecond 1064 nm Nd:YAG laser therapy in the treatment of XP. Methods: A total of 47 patients with clinically confirmed XP received treatment with picosecond 1064 nm Nd:YAG laser at standardized settings. Patients were photographed using standardized photographic documentation, and the degree of clearance was evaluated. Results: Following the initial treatment session, 97.87% of patients exhibited a good response to the picosecond laser, with some degree of lesion clearance. By the third session, 78.80% of patients achieved > 50% lesion clearance. Adverse effects were mild and transient, with postinflammatory hyperpigmentation observed in 2 (4.25%) patients. Conclusion: The picosecond 1064 nm Nd:YAG laser demonstrated promising efficacy in the treatment of XP, with a potentially enhanced safety profile.

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 score0.301
Threshold uncertainty score0.888

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 head0.031
GPT teacher head0.321
Teacher spread0.290 · 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