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Record W2148228045 · doi:10.1177/070674370204700904

Prevalence and Incidence Studies of Schizophrenic Disorders: A Systematic Review of the Literature

2002· review· en· W2148228045 on OpenAlexaffvenue
Elliot M. Goldner, Lorena Hsu, Paul Waraich, Julian M. Somers

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2002
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIncidence (geometry)Schizophrenia (object-oriented programming)EpidemiologyMedicineEtiologyPrevalenceSystematic reviewMEDLINEHomogeneousMeta-analysisPsychological interventionDemographyStudy heterogeneityPsychiatryPathologyBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To present the results of a systematic review of the literature published between January 1, 1980, and December 31, 2000, that reports findings on the prevalence and incidence of schizophrenia and related disorders. METHOD: We conducted a literature search of schizophrenia-related epidemiological studies, using Medline and HealthSTAR databases and canvassing English-language publications. We used a set of predetermined inclusion-exclusion criteria to identify relevant studies. Eligible publications were restricted to age ranges of 18 years and over for prevalence studies and 15 years and over for incidence studies. Prevalence and incidence data were extracted and analyzed for heterogeneity. RESULTS: A total of 18 prevalence and 8 incidence studies met eligibility criteria for the review. Heterogeneity analysis revealed significant differences across 1-year and lifetime prevalence and 1-year incidence of schizophrenia. The corresponding pooled rates were: 0.34 per 100, 0.55 per 100, and 11.1 per 100,000, respectively; the variation in rates between studies was generally between 2- and 5-fold. CONCLUSIONS: Although we restricted this review to studies using rigorous and relatively homogeneous methods, there remains significant heterogeneity of prevalence and incidence rates. This strengthens support for the hypothesis that there is real variation in the distribution of schizophrenia around the world. Health planners need to have local data on schizophrenia rates to improve the accuracy of their interventions, while clinicians and researchers need to continue to investigate the etiology of this variation.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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 designSystematic review
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

Citations345
Published2002
Admission routes2
Has abstractyes

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