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Record W2985937332 · doi:10.15173/mumj.v16i1.2019

Are Atypical Antipsychotics the Least Detrimental Alternative?

2019· article· en· W2985937332 on OpenAlexaff
Holly Breton

Bibliographic record

VenueMcMaster University Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsExtrapyramidal symptomsSchizophrenia (object-oriented programming)MedicinePsychiatryAmisulprideQuetiapineBipolar disorderAntipsychoticPsychologyPediatricsCognition

Abstract

fetched live from OpenAlex

Antipsychotics are typically used for the treatment of schizophrenia, bipolar disorder, and recently, treatment resistant major depressive disorder. A significant, and very concerning, side effect present with first generation antipsychotics is extrapyramidal symptoms, which are disorders of movement. With the advent of atypical antipsychotics, also known as second-generation antipsychotics, these symptoms are purported to be much less frequent and pronounced than they were with the first generation medications. Numerous hypotheses have been proposed as to why atypical antipsychotics produce fewer extrapyramidal symptoms compared to first generation antipsychotics, which this paper will review. Unfortunately, despite the fact that atypicals have reduced extrapyramidal symptoms in those taking antipsychotics, extrapyramidal symptoms are still an unpleasant and potentially dangerous side effect, which can be difficult to detect, and difficult, or even impossible, to treat. Additionally, atypical antipsychotics result in other potentially very serious side effects, specifically and most commonly, metabolic syndrome, which can decrease life expectancy significantly. However, metabolic syndrome, unlike extrapyramidal symptoms, may be preventable in highly motivated and well-supported patients. Thus, this paper concludes that the benefits of the atypical antipsychotics (reduced extrapyramidal symptoms) outweigh the potential risks for the majority of patients.

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 score0.119
Threshold uncertainty score0.991

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)0.0100.001

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 head0.027
GPT teacher head0.277
Teacher spread0.251 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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