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Record W4401614533 · doi:10.3899/jrheum.2024-0340

Absence of Glucocorticoids Concomitant With Avacopan and Subsequent Liver Injury in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis

2024· letter· en· W4401614533 on OpenAlexvenueno aff
Tomohisa Uchida, Shoichi Fukui, Naoki Iwamoto, Ayaka Umetsu, Momoko Okamoto, Keita Fujikawa, Akinari Mizokami, Takuya Tomokawa, Kazusato Hara, Yoshiro Horai, Atsushi Kawakami

Bibliographic record

VenueThe Journal of Rheumatology · 2024
Typeletter
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnti-neutrophil cytoplasmic antibodyConcomitantVasculitisLiver injuryAntibodyCytoplasmImmunologyPathologyInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

Avacopan, a C5a receptor (C5aR) inhibitor, has emerged as a novel treatment for antineutrophil cytoplasmic antibody–associated vasculitis (AAV), providing an alternative to glucocorticoids (GCs).1 Despite its promising potential, severe liver dysfunction associated with avacopan has been reported in Japan.2,3

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)0.004
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: none
Teacher disagreement score0.009
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0030.002

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 head0.009
GPT teacher head0.245
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 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

Citations11
Published2024
Admission routes1
Has abstractyes

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