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Record W4378072404 · doi:10.3389/fcvm.2023.1101386

The mortality risk after myocardial infraction in migrants compared with natives: a systematic review and meta-analysis

2023· review· en· W4378072404 on OpenAlexaboutno aff
Lei Zhu, Bao‐Tao Huang

Bibliographic record

VenueFrontiers in Cardiovascular Medicine · 2023
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersWest China Hospital, Sichuan UniversitySichuan UniversityNational Natural Science Foundation of China
KeywordsMeta-analysisMedicineInternal medicineCardiology

Abstract

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Background and Objective The evidence on the risk of mortality after myocardial infarction (MI) among migrants compared with natives is mixed and limited. The aim of this study is to assess the mortality risk after MI in migrants compared to natives. Methods This study protocol is registered with PROSPERO, number CRD42022350876. We searched the Medline and Embase databases, without time and language constraints, for cohort studies that reported the risk of mortality after MI in migrants compared to natives. The migration status is confirmed by country of birth, both migrants and natives are general terms and are not restricted to a particular country or area of destination or origin. Two reviewers separately screened searched studies according to selection criteria, extracted data, and assessed data quality using the Newcastle-Ottawa Scale (NOS) and risk of bias of included studies. Pooled estimates of adjusted and unadjusted mortality after MI were calculated separately using a random-effects model, and subgroup analysis was performed by region of origin and follow-up time. Result A total of 6 studies were enrolled, including 34,835 migrants and 284,629 natives. The pooled adjusted all-cause mortality of migrants after MI was higher than that of natives ( OR , 1.24; 95% CI , 1.10–1.39; I 2 = 83.1%), while the the pooled unadjusted mortality of migrants after MI was not significantly different from that of natives ( OR , 1.11; 95% CI , 0.69–1.79; I 2 = 99.3%). In subgroup analyses, adjusted 5–10 years mortality (3 studies) was higher in the migrant population ( OR , 1.27; 95% CI , 1.12–1.45; I 2 = 86.8%), while adjusted 30 days (4 studies) and 1–3 years (3 studies) mortality were not significantly different between the two groups. Migrants from Europe (4 studies) ( OR , 1.34; 95% CI , 1.16–1.55; I 2 = 39%), Africa (3 studies) ( OR , 1.50; 95% CI , 01.31–1.72; I 2 = 0%), and Latin America (2 studies) ( OR , 1.44; 95% CI , 1.30–1.60; I 2 = 0%) had significantly higher rates of post-MI mortality than natives, with the exception of migrants of Asian origin (4 studies) ( OR , 1.20; 95% CI , 0.99–1.46; I 2 = 72.7%). Conclusions Migrants tend to have lower socioeconomic status, greater psychological stress, less social support, limited access to health care resources, etc., therefore, face a higher risk of mortality after MI in the long term compared to natives. Further research is needed to confirm our conclusions, and more attention should be paid to the cardiovascular health of migrants. Systematic Review Registration https://www.crd.york.ac.uk/prospero/ , identifier: r CRD42022350876.

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)0.010
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.026
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.075
GPT teacher head0.374
Teacher spread0.300 · 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 designMeta-analysis
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

Citations4
Published2023
Admission routes1
Has abstractyes

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