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Record W2740460236 · doi:10.1136/bcr-2017-220678

Valacyclovir-associated neurotoxicity treated with intensification of peritoneal dialysis

2017· article· en· W2740460236 on OpenAlexaff
Bhanu Prasad, Mark McIsaac, Julie Toppings

Bibliographic record

VenueBMJ Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsUniversity of ReginaSaskTel (Canada)Regina Qu'Appelle Health Region
Fundersnot available
KeywordsMedicinePeritoneal dialysisNeurotoxicityIntensive care medicineInternal medicinePharmacologyToxicity

Abstract

fetched live from OpenAlex

We report a 57-year-old woman with end-stage renal disease (ESRD) on maintenance peritoneal dialysis (PD), who presented to the emergency room (ER) by ambulance with complaints of confusion and altered sensorium for 48 hours. She had been reviewed in a walk-in clinic 72 hours earlier and had been prescribed the standard 1000 mg three times per day of valacyclovir for an acute attack of shingles instead of 500 mg once a day on ESRD. In the ER, she received further 500 mg of intravenous acyclovir as herpes encephalitis was clinically suspected. CT of the brain and lumbar puncture were non-contributory to the diagnosis. Valacyclovir and acyclovir were discontinued when the diagnosis of valacyclovir-associated neurotoxicity became clinically evident. As the patient's Glasgow Coma Scale declined, we intensified her PD regimen from one to six exchanges per day and 24 hours later there was a significant neurological improvement.

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)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.301
Teacher spread0.277 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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