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Record W4244217821 · doi:10.14740/jmc2774w

Ranolazine and Hallucinations

2017· article· en· W4244217821 on OpenAlexvenueno aff
Saminder Kalra, Zubin Arora, Craig Nielsen

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRanolazineAnginaPopulationCardiologyCoronary artery diseaseKidney diseaseAnesthesiaAdverse effectStroke (engine)Internal medicineBlood pressureMyocardial infarction

Abstract

fetched live from OpenAlex

Ranolazine is a piperazine derivative which produces its anti-ischemic effect by decreasing myocardial oxygen demand and enhancing myocardial perfusion without having any effect on heart rate or blood pressure. Many trials have proved its benefits in the management of chronic stable angina; however, some rare neurological side effects have been seen in elderly population. In this case report, we describe a case of a 75-year-old female with underlying coronary artery disease, chronic kidney disease and mild cognitive impairment who was admitted for a new onset auditory and visual hallucinations along with new onset tremors in both upper and lower extremity after she was started on ranolazine for management of her chronic stable angina. Her workup was negative for any source of infection and no metabolic derangements, drugs or stroke were found. Her symptoms resolved after the ranolazine was discontinued. We recommend starting ranolazine in elderly population only when other anti-ischemic therapies have been exhausted and starting with the lowest therapeutic dose possible. Ranolazine should be discontinued immediately if any signs of neurological adverse effect appear. We also recommend monitoring renal functions in these patients and withholding ranolazine if any signs of worsening renal functions appear. J Med Cases. 2017;8(3):90-92 doi: https://doi.org/10.14740/jmc2774w

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 head0.023
GPT teacher head0.338
Teacher spread0.314 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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