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Record W3023274850 · doi:10.1177/2050313x20919614

Ocrelizumab-induced alopecia areata—A series of five patients from Ontario, Canada: A case report

2020· article· en· W3023274850 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSAGE Open Medical Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsMcMaster UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineAlopecia areataOcrelizumabDermatologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Ocrelizumab is a humanized monoclonal antibody that targets the CD20 antigen found on B-cells. It is indicated in the treatment of both relapsing-remitting multiple sclerosis and primary progressive multiple sclerosis. OBJECTIVE: The aim of this study is to report and describe the characteristics of alopecia areata following treatment with ocrelizumab for multiple sclerosis. RESULTS: Five patients were reported, two female and three male. Four of the five patients had alopecia areata of the scalp, one of the five having alopecia to the beard area. All patients responded well to conventional treatment with topical and intralesional corticosteroids and topical minoxidil foam. Ocrelizumab can be associated with the development of alopecia areata. Initiation of proper treatment may lead to quick improvement or resolution of this potentially reversible adverse effect.

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.020
GPT teacher head0.259
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