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Record W2304547749 · doi:10.1177/1203475416631521

Chronic Spontaneous Urticaria (CSU)

2016· article· en· W2304547749 on OpenAlexaffabout
Loretta Cheung, Charles Lynde

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsMedicineDermatologyDiseaseRefractory (planetary science)PediatricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic spontaneous urticaria (CSU) is a skin disorder that is said to be "frustrating" and "difficult to treat." It is characterized by recurrent hives for more than 6 weeks, and is further divided into spontaneous or inducible by physical stimuli.(1) To better understand dermatologists' perspective of this disorder, a survey was conducted with Canadian dermatologists. METHODS: A detailed online practice survey was sent to all currently practicing Canadian dermatologists. RESULTS: In all, 80 responses were received (response rate of 20%). Most respondents in Canada had treated patients with CSU (98.4%), with many of the patients having the disease last over 6 months (86.6%). A majority of the patients were female, with 84.1% of the respondents having over 50% of their patients as female. Most patients were over the age of 30 (74.2%). Of dermatologists, 85.7% felt that investigations were unhelpful in diagnosing CSU in a patient. Of respondents, 37.1% were not satisfied with current treatment methods of CSU, and 43.6% somewhat satisfied. Popular therapies included H1 and H2 antihistamines, oral corticosteroids, and montelukast. There were 16.1% of dermatologists who had over 50% of their patients refractory to treatment. CONCLUSIONS: There was a clear demographic preponderance for CSU patients with a majority as female over age 30. Investigations ordered for CSU patients do not seem to be helpful among dermatologists. Satisfaction with current therapies and investigations was quite low among Canadian dermatologists, suggesting new therapies are indicated.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.017
GPT teacher head0.255
Teacher spread0.239 · 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 designCase report
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

Citations5
Published2016
Admission routes2
Has abstractyes

Explore more

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