MétaCan
Menu
Back to cohort
Record W2801299773 · doi:10.14740/jem.v8i2-3.505

Non-Anti-Neutrophil Anti-Cytoplasmic Antibodies Associated Methimazole-Induced Nephritis: Case and Review of Literature

2018· article· en· W2801299773 on OpenAlexvenueno aff
Hengyi Guo, David Levitt, Kashif M. Munir, Cynthia Drachenberg, Rana Malek, Elizabeth M. Lamos

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2018
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVasculitisPericardial effusionInterstitial nephritisAcute kidney injuryThyroidInternal medicineHemodialysisGastroenterologyMethimazoleNephritisKidneyDisease

Abstract

fetched live from OpenAlex

Current anti-thyroid therapy is rarely associated with adverse effects such as vasculitis or nephritis. Historically, vasculitis associated with anti-thyroid therapy is associated with anti-neutrophil anti-cytoplasmic antibodies (ANCA). Here, we report a rare case of ANCA-negative interstitial nephritis secondary to methimazole, resulting in end organ renal failure. A 27-year-old male with a history of Graves’ hyperthyroidism on methimazole anti-thyroid therapy presented to the hospital with shortness of breath and chest pain, complicated by a pericardial effusion and acute kidney injury (AKI) requiring emergent hemodialysis. The diagnosis of drug-induced ANCA-negative vasculitis was based on the temporal relationship between clinically evident vasculitis and treatment with methimazole, after excluding other causes of vasculitis. The lack of ANCA-associated positivity should not deter clinicians from considering stopping the offending agent and pursuing more definitive therapy (radioactive iodine or surgery as appropriate). J Endocrinol Metab. 2018;8(2-3):47-51 doi: https://doi.org/10.14740/jem505w

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.001
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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Endocrinology and MetabolismSame topicVasculitis and related conditionsFrench-language works237,207