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Record W2803389890 · doi:10.1097/der.0000000000000376

Prevalence of Atopic Dermatitis and Pattern of Drug Therapy in Malaysian Children

2018· article· en· W2803389890 on OpenAlexvenueno aff
Y. H. Goh, Fazlollah Keshavarzi, Yik-Ling Chew

Bibliographic record

VenueDermatitis · 2018
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtopic dermatitisAtopyAsthmaHay feverFamily historyAllergyDermatologyMedical prescriptionFilaggrinEthnic groupCross-sectional studyPediatricsImmunologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Atopic dermatitis (AD) is a chronic relapsing, noncontagious skin inflammation characterized by dry skin and itch. Mutation in filaggrin gene leads to defective skin barrier, allowing entry of allergen and eliciting immunological response. OBJECTIVES: The aims of this study were to investigate the prevalence of AD in Malaysian children and to understand the pattern of drug therapy. Such information could be useful to establish the relationship between ethnicity and family history of atopy and the development of associated signs and symptoms. METHODS: A cross-sectional survey was conducted among children attending kindergartens and nurseries. Standardized questionnaires were filled out by parents. RESULTS: Overall prevalence of AD was 13.4%. Of 384 participants recruited, the highest prevalence was observed in males, Malays, participants younger than 2 years, and those with atopic background such as asthma, hay fever, and family history of atopic diseases. Calamine and white soft paraffin were the preferred choice of nonprescription drugs, whereas topical hydrocortisone seemed to be the preferred choice of prescription drug in the management of AD. CONCLUSIONS: The overall prevalence is comparable to that reported in the International Study of Asthma and Allergies in Childhood Phase One. There is an association between ethnicity and AD prevalence. Topical corticosteroids and emollients are the mainstay of AD management among Malaysians.

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 score0.010
Threshold uncertainty score0.373

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 head0.244
Teacher spread0.237 · 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

Citations23
Published2018
Admission routes1
Has abstractyes

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