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Memantine and Catatonia

2011· review· en· W2059925220 on OpenAlexaff
Demian Obregon, Regina M. Velasco, Timothy Wuerz, Maria C. Catalano, Glenn Catalano, David Kahn

Bibliographic record

VenueJournal of Psychiatric Practice · 2011
Typereview
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsColumbia College
Fundersnot available
KeywordsCatatoniaMemantineMoodPsychiatryEtiologyMedicinePsychologySchizophrenia (object-oriented programming)NMDA receptorInternal medicineReceptor

Abstract

fetched live from OpenAlex

Catatonia is a movement disorder with various possible etiologies. The majority of cases are associated with an underlying mood or psychotic disorder, while others are caused by medical conditions. Currently, benzodiazepines are the first-line psychopharmacologic agents in the treatment of catatonia. However, several cases have been reported in which treatment with memantine proved to be effective. We present the case of a 92-year-old female with major depressive disorder and associated catatonic symptoms. In this case, the patient's symptoms remitted quickly after the initiation of memantine. We review the possible causes of catatonia and pharmacologic treatments for the condition and highlight the possible benefits of N-methylD-aspartic acid receptor antagonists such as memantine in the treatment of catatonia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.407
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations37
Published2011
Admission routes1
Has abstractyes

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