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Gabapentin in the treatment of antipsychotic-induced akathisia in schizophrenia

2005· article· en· W2060249700 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Clinical Psychopharmacology · 2005
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversité de MontréalMcGill University Health CentreHôpital Louis-H LafontaineMcGill University
FundersPfizerEli Lilly and Company
KeywordsAkathisiaAntipsychoticGabapentinParkinsonismSchizophrenia (object-oriented programming)PsychosisMedicineAnesthesiaExtrapyramidal symptomsPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Antipsychotic-induced akathisia is characterized by subjective and objective motor restlessness, which is observed as a common extrapyramidal side-effect of antipsychotic agents. A patient is described who had antipsychotic-induced akathisia unresponsive to conventional therapy, and who began gabapentin therapy for insomnia. Significant improvement in his akathisia occurred when the gabapentin dose was increased, and his other treatment for akathisia was decreased and discontinued. Gabapentin may be effective by mechanisms similar to its action in restless legs syndrome and Parkinsonism, and/or via the GABA neurotransmitter system.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.920

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 integrity0.0000.000
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 head0.070
GPT teacher head0.456
Teacher spread0.385 · 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