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Record W6902725392 · doi:10.7892/boris.136428

Risk of Psychosis Among Refugees: A Systematic Review and Meta-analysis.

2019· article· en· W6902725392 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKölner Universitäts PublikationsServer (Universität zu Köln) · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosisMEDLINEDiseaseRisk assessmentSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

IMPORTANCE This systematic review and meta-analysis is, to date, the first and most comprehensive to focus on the incidence of nonaffective psychoses among refugees. OBJECTIVE To assess the relative risk (RR) of incidence of nonaffective psychosis in refugees compared with the RR in the native population and nonrefugee migrants. DATA SOURCES PubMed, PsycINFO, and Embase databases were searched for studies from January 1, 1977, to March 8, 2018, with no language restrictions (PROSPERO registration No. CRD42018106740). STUDY SELECTION Studies conducted in Denmark, Sweden, Norway, and Canada were selected by multiple independent reviewers. Inclusion criteria were (1) observation of refugee history in participants, (2) assessment of effect size and spread, (3) adjustment for sex, (4) definition of nonaffective psychosis according to standardized operationalized criteria, and (5) comparators were either nonrefugee migrants or the native population. Studies observing ethnic background only, with no explicit definition of refugee status, were excluded. DATA EXTRACTION AND SYNTHESIS The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed for extracting data and assessing data quality and validity as well as risk of bias of included studies. A random-effects model was created to pool the effect sizes of included studies. MAIN OUTCOMES AND MEASURES The primary outcome, formulated before data collection, was the pooled RR in refugees compared with the nonrefugee population. RESULTS Of the 4358 screened articles, 9 studies (0.2%) involving 540 000 refugees in Denmark, Sweden, Norway, and Canada were included in the analyses. The RR for nonaffective psychoses in refugees was 1.43 (95% CI, 1.00-2.05; I-2 = 96.3%) compared with nonrefugee migrants. Analyses that were restricted to studies with low risk of bias had an RR of 1.39 (95% CI, 1.23-1.58; I-2 = 0.0%) for refugees compared with nonrefugee migrants, 2.41 (95% CI, 1.51-3.85; I-2 = 96.3%) for refugees compared with the native population, and 1.92 (95% CI, 1.02-3.62; I-2 = 97.0%) for nonrefugee migrants compared with the native group. Exclusion of studies that defined refugee status not individually but only by country of origin resulted in an RR of 2.24 (95% CI, 1.12-4.49; I-2 = 96.8%) for refugees compared with nonrefugee migrants and an RR of 3.26 (95% CI, 1.87-5.70; I-2 = 97.6%) for refugees compared with the native group. In general, the RR of nonaffective psychosis was increased in refugees and nonrefugee migrants compared with the native population. CONCLUSIONS AND RELEVANCE Refugee experience appeared to be an independent risk factor in developing nonaffective psychosis among refugees in Denmark, Sweden, Norway, and Canada. These findings suggest that applying the conclusions to non-Scandinavian countries should include a consideration of the characteristics of the native society and its specific interaction with the refugee population.

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)0.001
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: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.021
GPT teacher head0.282
Teacher spread0.260 · 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