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Record W2581364814 · doi:10.1159/000456553

ANCA Associated Vasculitis Secondary to Levamisole-Adultered Cocaine with Associated Membranous Nephropathy: A Case Series

2017· article· en· W2581364814 on OpenAlexaff
David Collister, Christie Sathianathan, Krista Ryz, Martin Karpinski, Keevin Bernstein, Ian W. Gibson

Bibliographic record

VenueAmerican Journal of Nephrology · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicForensic Toxicology and Drug Analysis
Canadian institutionsHealth Sciences CentreUniversity of Manitoba
Fundersnot available
KeywordsMedicineLevamisoleVasculitisGlomerulonephritisKidney diseaseNephropathyImmunologyInternal medicineGastroenterologyKidneyDiseaseEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Cocaine is a risk factor for acute kidney injury and chronic kidney disease with progression to end-stage renal disease. Levamisole is an adulterant that is added to cocaine to enhance its euphoric effects. Levamisole-adulterated cocaine (LAC) is associated with the distinct clinical syndromes of agranulocytosis, leukocytoclastic vasculitis, cocaine-induced midline destructive lesions (CIMDL), and ANCA-associated vasculitis (AAV) with pauci-immune necrotizing glomerulonephritis. METHODS: We reviewed all cases of AAV secondary to LAC at our institution. RESULTS: We report 3 cases of AAV secondary to LAC and associated membranous nephropathy (MN). The first and second cases are concurrent AAV secondary to LAC and associated MN while the third case involves the development of MN after AAV secondary to LAC. CONCLUSIONS: Clinicians should be aware of this novel association of LAC with MN.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.356
Teacher spread0.322 · 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

Citations40
Published2017
Admission routes1
Has abstractyes

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