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Record W1839446472 · doi:10.4212/cjhp.v53i5.773

Neuroleptic Malignant Syndrome Associated with Quetiapine

2000· article· en· W1839446472 on OpenAlexaffvenue
Natalie Roy, Paula Díaz, John M. Howard

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2000
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsNeuroleptic malignant syndromeQuetiapineMedicineSerotonin syndromeAntipsychoticAtypical antipsychoticQuetiapine FumarateAdverse effectPsychiatryBromocriptinePediatricsMuscle RigidityInternal medicineOncologyReceptorSerotoninAnesthesiaSchizophrenia (object-oriented programming)Prolactin

Abstract

fetched live from OpenAlex

INTRODUCTION Neuroleptic malignant syndrome is a rare adverse effect of antipsychotic agents. The most common signs and symptoms are hyperthermia, muscle rigidity, changes in mental status, and autonomic instability.1 The prevalence of neuroleptic malignant syndrome in association with the use of typical antipsychotics is estimated at 0.5% to 1%.1 Atypical antipsychotics such as quetiapine have greater affinity for serotonin 5-HT2A receptors than for dopamine D2 receptors. Therefore, it is believed that atypical antipsychotics are less likely to cause this condition. This article describes a patient treated with quetiapine who presented with biochemical and clinical evidence of neuroleptic malignant syndrome.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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.

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

Citations17
Published2000
Admission routes2
Has abstractyes

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