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Record W4404813373 · doi:10.1177/2050313x241299947

Reassessing mirtazapine and akathisia: A case report on its efficacy in treating severe, treatment-resistant akathisia and a review of the evidence

2024· review· en· W4404813373 on OpenAlexaff
Madeline Chidiac, Bushra Elhusein, Niman Gajebasia

Bibliographic record

VenueSAGE Open Medical Case Reports · 2024
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsAkathisiaMirtazapineAntipsychoticMedicineClonazepamHaloperidolVenlafaxineExtrapyramidal symptomsPsychiatrySchizophrenia (object-oriented programming)AntidepressantInternal medicineAnxiety

Abstract

fetched live from OpenAlex

Antipsychotic-induced akathisia is a distressing movement disorder marked by intense internal restlessness and an urge to move. This report discusses a 44-year-old man with a diagnosis of schizophrenia who developed severe, treatment-resistant akathisia after taking haloperidol, a first-generation antipsychotic. Standard treatments for antipsychotic-induced akathisia, including benzodiazepines (Clonazepam) and benztropine, failed to alleviate the patient's persistent symptoms, causing considerable distress. However, the introduction of mirtazapine at a low dose of 15 mg led to substantial improvement, as indicated by a gradual reduction in the Barnes Akathisia Rating Scale score from 8 to 0 and improvements in mood, mobility, and daily activity participation. This case highlights the potential efficacy of mirtazapine in treating severe, resistant akathisia, adding to its established use in antipsychotic-induced akathisia management and contributing to the limited literature on its application in patients unresponsive to other conventional treatments.

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)0.004
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.425
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.125
GPT teacher head0.459
Teacher spread0.333 · 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 designCase report
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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