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Record W4286253957 · doi:10.14740/jmc3934

Acute Interstitial Nephritis Induced by Clozapine

2022· article· en· W4286253957 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Medical Cases · 2022
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClozapineInterstitial nephritisNephritisPharmacologyInternal medicineSchizophrenia (object-oriented programming)PsychiatryKidney

Abstract

fetched live from OpenAlex

Acute interstitial nephritis (AIN) classically presents as acute kidney injury most often induced by offending drugs. Less frequently it is secondary to infections, autoimmune disorders, or idiopathic conditions. Development of drug-related AIN is not dose dependent and a recurrence can occur with re-exposure to the drug. We present a 50-year-old male with treatment resistant schizoaffective disorder who developed clozapine-induced AIN, confirmed with kidney biopsy within 2 months of taking this medication. His kidney function improved with removal of the drug and treatment with steroids. However, his kidney function was again significantly impaired when rechallenged with even a lower dose of clozapine a year later. Kidney function returned to baseline after stopping clozapine. Monitoring of kidney function during clozapine therapy is essential to therapy. Prompt diagnosis is imperative as discontinuation of offending agent can prevent acute kidney injury.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0050.000

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 head0.031
GPT teacher head0.324
Teacher spread0.293 · 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