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Record W1995596016 · doi:10.1097/der.0b013e31824a6141

Climatotherapy at the Dead Sea: An Effective Treatment Modality for Atopic Dermatitis With Significant Positive Impact on Quality of Life

2012· article· en· W1995596016 on OpenAlexvenueno aff
Chagit Adler‐Cohen, Tali Czarnowicki, Jacob Dreiher, Thomas Ruzicka, Arieh Ingber, Marco Harari

Bibliographic record

VenueDermatitis · 2012
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDead seaQuality of life (healthcare)Atopic dermatitisSCORADWilcoxon signed-rank testMann–Whitney U testDermatologyDermatology Life Quality IndexInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Atopic dermatitis (AD) has an appreciable effect on quality of life. Improving the quality of life of AD patients is a priority. OBJECTIVE: This study aimed to evaluate the impact of Dead Sea climatotherapy (DSC) as a treatment of AD and its influence on the quality of life of these patients. METHODS: Forty-nine adult patients with AD treated during the years 2009-2010 at the Deutsches Medizinisches Zentrum Medical Center participated in this prospective study. Climatotherapy was administered in accordance with a computer-designed protocol and included gradually increased sun exposure after a sea bath. Severity of AD was evaluated using the Scoring Atopic Dermatitis (SCORAD) index. Patient quality of life was evaluated using Skindex-29. Statistical analysis was performed using a paired t test and Wilcoxon and Mann-Whitney U tests. RESULTS: After treatment, the mean SCORAD value improved by 39 points (P < 0.001). The overall Skindex-29 score improved by a mean value of 33 points (P < 0.001). The pretreatment SCORAD, duration of AD, and maximal daily sun exposure predicted the posttreatment SCORAD values. Pretreatment Skindex-29 and patient age predicted the posttreatment Skindex-29 in a multiple linear regression model. CONCLUSIONS: Dead Sea climatotherapy provides an effective treatment modality for AD by improving the patient's skin condition and quality of life.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.338
Teacher spread0.314 · 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

Citations42
Published2012
Admission routes1
Has abstractyes

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