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Record W4389286404 · doi:10.3390/jcm12237482

Epidemiological and Clinical Characteristics of Adult and Pediatric Patients with Chronic Spontaneous Urticaria

2023· article· en· W4389286404 on OpenAlexaff
Aviv Barzilai, Alona Baum, Moshe Ben‐Shoshan, Ido Tzanani, Reman Hakroush, Dan Coster, Michal Solomon, Shoshana Greenberger

Bibliographic record

VenueJournal of Clinical Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineEpidemiologyPediatricsAtopyDiseaseYoung adultAsthmaInternal medicine

Abstract

fetched live from OpenAlex

Chronic spontaneous urticaria (CSU) is when lesions occur for ≥6 weeks. However, its underlying mechanism remains unclear. CSU prevalence is similar in adult and pediatric patients; nevertheless, few data are available on CSU characteristics in pediatric patients. We aimed to describe the epidemiology, clinical features, and treatment approach of CSU in pediatrics and adults. In this cross-sectional study, 193 patients with CSU were treated at the Sheba Medical Center, Israel, in 2009-2022. The information collected includes age at diagnosis, reported triggers, atopic co-morbidities, autoimmune co-morbidities, treatments and their response, family background, laboratory tests, and follow-up duration. The study group was divided into pediatrics (aged ≤ 18) and adults. Metabolic syndrome was most prevalent in adults as against atopy in pediatrics. Autoimmune co-morbidities were observed in 34.7% and 34.8% of adults and pediatrics, respectively. Inflammatory bowel disease and thyroid disease were the most common in pediatrics and adults, respectively. Systemic treatments other than antihistamines were administered more frequently in adults. Adults with autoimmune disease required second-line treatment with immunomodulators compared to those without it. Co-morbidities were more common in adults than in pediatrics. Patients with autoimmune co-morbidities may be more challenging to manage; thus, escalation to biologics should be considered soon.

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)0.002
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.377
Teacher spread0.338 · 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.

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

Citations15
Published2023
Admission routes1
Has abstractyes

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