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Record W2121401131 · doi:10.1093/schbul/sbp141

Catatonia and Its Treatment

2009· review· en· W2121401131 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

VenueSchizophrenia Bulletin · 2009
Typereview
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCatatoniaSchizophrenia (object-oriented programming)PsychiatryNeuroleptic malignant syndromePsychosisPsychologyBenzodiazepineElectroconvulsive therapyAntipsychoticMedicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Psychiatric diagnoses are currently categorized on a syndromic basis. The syndrome of catatonia, however, remains in a diagnostic limbo, acknowledged predominantly as a subtype of schizophrenia. Yet, catatonia is present in about 10% of acutely ill psychiatry patients, only a minority of whom have schizophrenia. Among those with comorbid affective disorders, who comprise the largest subgroup of catatonic patients, the catatonic signs typically resolve dramatically and completely with benzodiazepine therapy. Those with schizophrenia respond less reliably, suggesting that the underlying processes causing the catatonia may be different in this group. The majority of patients with catatonia have concurrent psychosis. Failure to treat the catatonia before institution of antipsychotic medication may increase the risk of inducing neuroleptic malignant syndrome. At this point of time, the pathobiology of catatonia is unknown; the major reason for considering catatonia as a separate diagnostic entity would be to increase recognition of this eminently treatable neuropsychiatric syndrome.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
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)0.0000.001

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 head0.040
GPT teacher head0.337
Teacher spread0.296 · 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