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Record W2186791154 · doi:10.1155/2015/265734

Cutaneous Sarcoidosis in a Patient with Severe Asthma treated with Omalizumab

2015· article· en· W2186791154 on OpenAlexaff
Samuel Yung, Duhyun Han, Jason Keonhag Lee

Bibliographic record

VenueCanadian Respiratory Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsUniversity of TorontoSt. Michael's HospitalUniversity of VictoriaNOSM University
Fundersnot available
KeywordsOmalizumabMedicineSarcoidosisAsthmaDermatologyImmunoglobulin EInternal medicineImmunology

Abstract

fetched live from OpenAlex

Omalizumab, a monoclonal anti-immunoglobulin E antibody, has been used as an effective treatment for severe asthma associated with atopy over the past decade. Sarcoidosis is an idiopathic granulomatous disorder in which first-line treatment is usually glucocorticoids. To the authors' knowledge, the present report describes the first case of an association between omalizumab therapy and revelation of cutaneous sarcoidosis with the withdrawal of systemic glucocorticoids. A 56-year-old woman with severe allergic asthma dependent on oral prednisone initiated omalizumab treatment. As her symptoms of asthma improved over the course of a year, her prednisone was gradually tapered. After being off glucocorticoids, she developed skin nodules that had biopsy characteristics of sarcoidosis. The present case illustrates the need to monitor closely for potential unmasking of glucocorticoid-responsive conditions when transitioning from systemic glucocorticoids to omalizumab therapy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.266
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Respiratory JournalSame topicSarcoidosis and Beryllium Toxicity ResearchFrench-language works237,207