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Record W2329184227 · doi:10.1097/der.0000000000000019

Prehydration is Effective for Rapid Control of Recalcitrant Atopic Dermatitis

2014· article· en· W2329184227 on OpenAlexvenueno aff
Tamar Hajar, Jon M. Hanifin, Susan Tofte, Eric L. Simpson

Bibliographic record

VenueDermatitis · 2014
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsMedicineDermatologyAtopic dermatitis

Abstract

fetched live from OpenAlex

BACKGROUND: Skin care remains a key component in atopic dermatitis (AD) management; there are no data available guiding optimal bathing recommendations. OBJECTIVE: This study aims to determine whether 15-minute to 20-minute baths followed by topical corticosteroid application (prehydration therapy) are effective for clearing moderate to severe AD. METHODS: In the Oregon Health & Science University outpatient dermatology clinic, a retrospective review was done of the health records of patients with AD seen first between January 1, 2007, and December 31, 2011, who were then reevaluated within 1 to 3 weeks of starting the therapy. Qualifying patients underwent the prehydration regimen and were reevaluated. The primary outcome was therapeutic response using the Investigators' Global Assessment Scale. Secondary outcomes were measured using the dynamic Treatment Response Scale. Of 110 distinct electronic records, 35 patients were excluded. At the initial visit, 75 patients were evaluated with the Investigators' Global Assessment Scale. Forty-eight patients (64%) were severe, and 27 patients (36%) were moderate. All subjects began prehydration therapy followed by topical corticosteroid. At follow-up visit in 1 to 3 weeks when using the patient's or provider's assessment of treatment response, 59 patients (79%) had marked improvement, and 3 patients (4%) were clear. CONCLUSIONS: Prehydration followed by topical corticosteroid therapy seems to be a highly effective regimen that achieves rapid control of moderate to severe disease.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.484

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)0.0000.000

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 head0.007
GPT teacher head0.250
Teacher spread0.243 · 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

Citations18
Published2014
Admission routes1
Has abstractyes

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