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Record W1530644544 · doi:10.1002/lsm.22295

Lupus miliaris disseminatus faciei treated with 1,565 nm nonablative fractionated laser resurfacing: A case report

2014· article· en· W1530644544 on OpenAlexaff
Katie Beleznay, Daniel P. Friedmann, Ana Marie Liolios, Adam Perry, Mitchel P. Goldman

Bibliographic record

VenueLasers in Surgery and Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDermatologyAblative caseLaserLaser treatmentSurgeryOptics

Abstract

fetched live from OpenAlex

BACKGROUND: Lupus miliaris disseminatus faciei (LMDF) is a rare granulomatous disease. It presents as red-brown papules on the face that can resolve with scarring. LMDF is often resistant to treatment. OBJECTIVE: Nonablative fractionated lasers have been used effectively to treat granulomatous disorders; however, there is little data on the treatment of LMDF with lasers. Our objective was to test a novel non-ablative fractionated laser for the treatment of recalcitrant LMDF. RESULTS: A 24-year-old man had a one-year history of LMDF. He had been treated with various topical therapies, oral medications, and laser devices with no improvement and continued progression. We utilized a non-sequential scanning 1,565 nm nonablative fractionated laser to treat this patient. After only one treatment he had significant improvement. He has been subsequently treated five times in the past 6 months and has continued to improve. CONCLUSION: The novel 1,565 nm nonablative fractionated laser may be a useful tool in the treatment of granulomatous conditions such as LMDF.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.704

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)0.0000.000

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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 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".

Quick stats

Citations19
Published2014
Admission routes1
Has abstractyes

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