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Record W4225822822 · doi:10.1097/der.0000000000000868

Psychological Interventions Are More Effective than Educational Interventions at Improving Atopic Dermatitis Severity: A Systematic Review

2022· review· en· W4225822822 on OpenAlexvenueno aff
Tammy Hua, Lori Kim, Muhammad Yousaf, Eran C. Gwillim, Yik Weng Yew, Brad Lee, Kevin Hua, Taylor Erickson, Brian T. Cheng, Kevin R. Patel, Jonathan I. Silverberg

Bibliographic record

VenueDermatitis · 2022
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionMedicineMEDLINEScopusCochrane LibraryRandomized controlled trialAtopic dermatitisIntervention (counseling)Clinical psychologyPsychiatryDermatologyInternal medicine

Abstract

fetched live from OpenAlex

We determined which educational and/or psychological interventions were most effective in atopic dermatitis (AD). A systematic review of published studies evaluated the effectiveness of educational and/or psychological interventions in MEDLINE, Embase, SCOPUS, LILACS, Cochrane, China National Knowledge Infrastructure, Taiwan Electronic Periodical Services, and CiNii. Two reviewers conducted title/abstract, full-text review, and data extraction. Twenty-four prospective studies were included, including 20 randomized controlled trials. Educational (4/7 studies) and combined educational and psychological (5/6 studies) interventions reduced AD severity; psychological (10/11 studies) interventions showed the greatest benefit. The most commonly studied psychological intervention was habit reversal training (8/11 studies), which was most frequently incorporated in studies that reduced AD severity (8/10 studies). The most commonly studied educational interventions were education on AD triggers (7/7 studies) and skin care (7/7 studies); they were incorporated in all studies that reduced AD severity. Different psychological and/or educational interventions successfully reduced AD severity, especially habit reversal training.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.060
GPT teacher head0.400
Teacher spread0.340 · 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 designSystematic review
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

Citations8
Published2022
Admission routes1
Has abstractyes

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