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Record W4200387165 · doi:10.1097/der.0000000000000810

Long-Term Narrowband UV-B Efficacy in Moderate to Severe Atopic Dermatitis

2021· article· en· W4200387165 on OpenAlexvenueno aff
Yaron Ben Mordehai, Aviv Barzilai, Adam Dalal, Felix Pavlotsky

Bibliographic record

VenueDermatitis · 2021
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtopic dermatitisRetrospective cohort studyCohortAdverse effectDermatologyInternal medicineMedical recordPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Narrowband (NB) UV-B is known as an effective and safe treatment for atopic dermatitis (AD). However, there is a lack of studies regarding prognostic factors for favorable response and its duration. OBJECTIVE: The aim of the study was to evaluate the efficacy of NB-UV-B for AD, in a large cohort and "real-life" setting. METHODS: This is a retrospective cohort study based on the medical records of patients with moderate to severe AD treated with NB-UV-B therapy between 2000 and 2017 with a long-term follow-up (≥3 years) after completing therapy. RESULTS: A total of 390 of 555 AD patients who were scheduled for NB-UV-B were included; among them, 55.4% responded well to treatment. Facial involvement, presence of adverse effects, lower number of treatments, and pretreatment immunoglobulin E levels greater than 4000 were related to poorer response. There was an overall median response duration of 12 months with a greater relapse rate among the patients younger than 18 years. CONCLUSIONS: Narrowband UV-B phototherapy shows high and long-lasting efficacy in AD. Patients with facial involvement and patients with high immunoglobulin E levels respond less to treatment. Response duration seems to be shorter for patients younger than 18 years.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0020.001

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 head0.014
GPT teacher head0.271
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2021
Admission routes1
Has abstractyes

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