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Record W2143521384 · doi:10.1080/13651500802136402

Catatonia is frequent in black immigrants admitted to Psychiatry in Canada

2008· article· en· W2143521384 on OpenAlexaffabout
Marie-José Dealberto

Bibliographic record

VenueInternational Journal of Psychiatry in Clinical Practice · 2008
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsCatatoniaPsychiatryEthnic groupMedicineImmigrationPopulationPediatricsSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Objective. To assess the prevalence of catatonia in a sample of patients of African ancestry admitted to Psychiatry in Canada. Methods. Retrospective chart review of 20 consecutive black francophone inpatients assessed by the same psychiatrist. Results. The sample consisted of 12 men and eight women aged 17-59 years. Catatonic symptoms were prominent in 30% of this small sample (n=6), more frequent than the 9% reported in a Canadian general psychiatry population of 140 inpatients (P=0.0126). Conclusions. This finding is limited by the small sample size and the provenance from troubled countries for most of the patients. It is consistent with earlier reports of a higher prevalence of catatonia in nonwhite subjects and among immigrants coming from developing countries, and stresses the importance of systematically assessing catatonia in clinical settings. Further research is warranted to distinguish between the effects of ethnic origin and immigrant status and to determine if the increased prevalence of catatonia is related to neurobiological causes such as maternal gestational infections or to socio-cultural factors.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.541
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.038
GPT teacher head0.413
Teacher spread0.375 · 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.

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

Citations13
Published2008
Admission routes2
Has abstractyes

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