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Record W2725592690 · doi:10.1373/clinchem.2017.272377

Glistening Urine Sample from a Patient with Delirium

2017· article· en· W2725592690 on OpenAlexaff
Joshua E. Raizman, Penny D. Colbourne, Donald F. LeGatt, Darren Chow, Lyric Rudolph

Bibliographic record

VenueClinical Chemistry · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMisericordia Community HospitalUniversity of Alberta
Fundersnot available
KeywordsDeliriumUrineUrine sampleMedicineSample (material)ChromatographyInternal medicineIntensive care medicineChemistry

Abstract

fetched live from OpenAlex

An 85-year-old man presented to the emergency department with delirium. He was taking the anticonvulsant primidone to manage essential tremors. His estimated glomerular filtration rate was low at 52 mL/min/1.72 m2. A urine barbiturate drug screen was positive (cutoff concentration 300 μg/L). Gross examination of the urine revealed an unusual hazy glistening appearance with white masses (Fig. 1). Microscopic examination revealed hexagonal plate-like crystals (Fig. 1). ... ... The answers are on the next page. Crystalluria and glistening urine can occur with primidone overdose (1–5), the likely cause in this renally compromised patient. Primidone has low solubility, a contributing cause of crystal formation (1). GC-MS qualitative analysis confirmed primidone and the metabolite phenobarbital, which was detected in the barbiturate screen. Cessation of the drug resulted in disappearance of crystalluria and symptom resolution. Primidone and phenobarbital therapeutic drug monitoring is recommended to assist with dosing, especially in patients with impaired renal function.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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