MétaCan
Menu
Back to cohort
Record W4399857594 · doi:10.1097/asw.0000000000000161

Atopic Dermatitis: Clinical Aspects and Treatments

2024· review· en· W4399857594 on OpenAlexaff
Ryan S.Q. Geng, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2024
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicineAtopic dermatitisDermatologyItchingPresentation (obstetrics)EpidemiologyDifferential diagnosisSurgeryPathology

Abstract

fetched live from OpenAlex

ABSTRACT Atopic dermatitis is the most common eczematous inflammatory skin condition, presenting with lesions that typically appear as poorly demarcated erythematous and scaly papules and plaques. The lesions most commonly occur on flexural surfaces of the knees, elbows, and wrists and are associated with moderate to severe itching. This article focuses on the clinical presentation of atopic dermatitis and treatment options. Other related topics include epidemiology, pathogenesis, risk factors, triggers, and differential diagnoses. GENERAL PURPOSE To review issues related to atopic dermatitis, including its classification, clinical presentation, potential triggers, and treatment options. TARGET AUDIENCE This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and registered nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES After participating in this educational activity, the participant will: 1. Synthesize a differential diagnosis for atopic dermatitis (AD). 2. Explain the classification of AD cases. 3. Select triggers or exacerbating factors for AD. 4. Explain pharmacologic and nonpharmacologic treatment options for patients with AD.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.422
Teacher spread0.391 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Skin & Wound CareSame topicDermatology and Skin DiseasesFrench-language works237,207