MétaCan
Menu
Back to cohort
Record W4405711472 · doi:10.1136/bmjph-2024-001587

Incident chronic kidney disease among Canadian immigrants: a population-based cohort study

2024· article· en· W4405711472 on OpenAlexafffundabout
Ida-Ehosa Olaye, Manish M. Sood, Chengchun Yu, Meltem Tuna, Ayub Akbari, Peter Tanuseputro, Istvan Mucsi, Greg Knoll, Gregory L. Hundemer

Bibliographic record

VenueBMJ Public Health · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsOttawa HospitalBruyèreUniversity of OttawaInstitute for Clinical Evaluative SciencesUniversity of TorontoUniversity Health NetworkOttawa Public Health
FundersInstitute of Nutrition, Metabolism and DiabetesCanadian Institutes of Health ResearchKidney Foundation of CanadaInstitute for Clinical Evaluative Sciences
KeywordsImmigrationKidney diseaseMedicineCohortCohort studyPopulationDemographyInternal medicineEnvironmental healthGeographySociology

Abstract

fetched live from OpenAlex

Introduction A ‘healthy immigrant effect’ has been demonstrated for a number of chronic health conditions including cardiovascular disease, diabetes mellitus and dementia; however, the link between immigrant status and kidney health remains uncertain. We sought to compare the risk for incident chronic kidney disease (CKD) between Canadian immigrants and non-immigrants. Methods We conducted a population-level, observational cohort study of all adult (≥18 years of age) Ontario residents, including foreign-born immigrant Canadian citizens and non-immigrant Canadian citizens by birth, with normal baseline kidney function (outpatient estimated glomerular filtration rate (eGFR) ≥70 mL/min/1.73 m 2 ) between 1 April 2007 and 30 September 2020 using provincial health administrative data. Multivariable Cox proportional hazard regression modelling was used to evaluate the relationship between immigrant status and the development of incident CKD (outpatient eGFR <60 mL/min/1.73m 2 ). Results The study cohort included 10 440 210 Ontario residents, consisting of 22% immigrants (n=2 253 360) and 78% (n=8 186 850) non-immigrants. The mean (SD) age and eGFR were 45 (17) years and 102 (16) mL/min/1.73 m 2 , respectively, and 54% of individuals were female. A total of 117 028 immigrants (5%, 7 events per 1000 person-years) and 984 277 non-immigrants (12%, 16 events per 1000 person-years) developed incident CKD during follow-up. Immigrants experienced a 20% lower risk for incident CKD compared with non-immigrants (adjusted HR 0.80, 95% CI 0.80 to 0.81). Consistent findings were seen for refugee and non-refugee immigrants, immigrants with remote (1985–2004) and recent (2005–2020) landing dates, and immigrants from different world regions. Results were similar on re-defining incident CKD as two outpatient eGFR measurements <60 mL/min/1.73 m 2 at least 90 days apart, treating death as a competing risk, and adjusting for baseline albuminuria. Conclusion Immigrants experience a lower risk for incident CKD compared with non-immigrants. These findings provide evidence of a ‘healthy immigrant effect’ in relation to kidney health.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.372
Teacher spread0.340 · 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.

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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueBMJ Public HealthSame topicMigration, Health and TraumaFrench-language works237,207