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Record W3080537732 · doi:10.12669/pjms.36.6.2963

A ‘benign’ extrapyramidal side effect masking a life-threatening neuroleptic malignant syndrome

2020· article· en· W3080537732 on OpenAlexaffabout
R. Dölp, Moin Ahmed Ansari, Michael K. Chan

Bibliographic record

VenuePakistan Journal of Medical Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsNeuroleptic malignant syndromeMedicineMasking (illustration)ComplicationSchizophrenia (object-oriented programming)PediatricsPsychiatrySide effect (computer science)Incidence (geometry)Extrapyramidal symptomsIntensive care medicineSurgeryAntipsychotic

Abstract

fetched live from OpenAlex

The neuroleptic malignant syndrome is a rare, life-threatening idiosyncratic reaction to neuroleptic medication. The use of newer antipsychotics combined with its rare incidence has made NMS seem as a complication of the past. Here we report a patient in his early 20s suffering from a psychotic disorder developing a life-threatening neuroleptic malignant syndrome on an inpatient psychiatric ward in Canada without the characteristic overt change in autonomic stability. We review the clinical characteristics to facilitate the early recognition of neuroleptic malignant syndromes and discuss why this condition still is highly relevant for practising physicians. doi: https://doi.org/10.12669/pjms.36.6.2963 How to cite this:Dolp R, Ansari MA, Chan M, Hassan T. A ‘benign’ extrapyramidal side effect masking a life-threatening neuroleptic malignant syndrome. Pak J Med Sci. 2020;36(6):1429-1432. doi: https://doi.org/10.12669/pjms.36.6.2963 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.293
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.342
Teacher spread0.302 · 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
Published2020
Admission routes2
Has abstractyes

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