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Record W4404565688 · doi:10.7759/cureus.74095

Habit Reversal Therapy: An Underutilized Treatment for Atopic Dermatitis

2024· editorial· en· W4404565688 on OpenAlexaff
Jürgen Kreutz, Fatemeh Jafarian

Bibliographic record

VenueCureus · 2024
Typeeditorial
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineAtopic dermatitisDermatologyHabitScratchingIntensive care medicinePsychotherapist

Abstract

fetched live from OpenAlex

Atopic dermatitis (AD) is a common inflammatory skin condition characterized by a history of recurring pruritic lesions that are worsened by scratching. Therapeutic outcomes may be optimized by minimizing the scratching of pruritic AD lesions, which is often particularly challenging for pediatric populations. Alongside topical and systemic therapies, research supports the use of habit reversal therapy for AD to mitigate the urge to scratch. North American guidelines on the management of AD should unequivocally endorse the use of habit reversal therapy. This would align with guidelines in the EU and the UK as well as the emerging body of evidence in the literature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0030.001
Research integrity0.0130.019
Insufficient payload (model declined to judge)0.0110.010

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 head0.032
GPT teacher head0.343
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations3
Published2024
Admission routes1
Has abstractyes

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