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Record W1966525272 · doi:10.1136/jcp.2008.058271

Renal toxicity of therapeutic drugs

2009· review· en· W1966525272 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.

Bibliographic record

VenueJournal of Clinical Pathology · 2009
Typereview
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineDrugDiseaseKidney diseaseKidneyNephritisAcute tubular necrosisToxicityPathologyNephrotoxicityPharmacologyBioinformaticsInternal medicineBiology

Abstract

fetched live from OpenAlex

A number of therapeutic agents can adversely affect the kidney, resulting in tubulointerstitial, glomerular or vascular disease. Drug-induced tubulointerstitial nephritis and acute tubular necrosis are common, and are often cause by antibiotics or non-steroidal anti-inflammatory drugs. Drug-induced glomerular and vascular disease is relatively rare. This review describes the morphological patterns of drug-induced disease in the kidney. The histopathological changes are often similar to disease that is idiopathic or due to other causes, so that awareness and clinical correlation are most helpful to arrive at the aetiology.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.188
GPT teacher head0.497
Teacher spread0.310 · 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