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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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 source (direct Gemma or distilled Codex), 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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