Evidence map›Paper›PMID 35246043›Full record

ArticleBMC cardiovascular disorders2022

Geographical inequalities in the decreasing 28-day mortality following incident acute myocardial infarction: a Danish register-based cohort study, 1987-2016.

Niels Asp Fuglsang, Elisabeth Zinck, Annette Kjær Ersbøll, Bjarne Kjær Ersbøll, Gunnar Hilmar Gislason, Thora Majlund Kjærulff, Kristine Bihrmann

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Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Niels Asp Fuglsang *DTU Compute, Technical University of Denmark, Kgs Lyngby, Denmark.
Elisabeth Zinck *DTU Compute, Technical University of Denmark, Kgs Lyngby, Denmark.
Annette Kjær ErsbøllNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen, Denmark.
Bjarne Kjær ErsbøllDTU Compute, Technical University of Denmark, Kgs Lyngby, Denmark.
Gunnar Hilmar GislasonNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen, Denmark.
Thora Majlund KjærulffNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen, Denmark.
Kristine BihrmannNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen, Denmark. akri@sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality following acute myocardial infarction (AMI) has decreased in western countries for decades; however, it remains unknown whether the decrease is distributed equally across the population independently of residential location. This study investigated whether the observed decreasing 28-day mortality following an incident AMI in Denmark from 1987 to 2016 varied geographically at municipality level after accounting for sociodemographic characteristics.

methodsA register-based cohort study design was used to investigate 28-day mortality among individuals with an incident AMI. Global spatial autocorrelation (within sub-periods) was analysed at municipality level using Moran's I. Analysis of spatio-temporal autocorrelation before and after adjusting for sociodemographic characteristics was performed using logistic regression and conditional autoregressive models with inference in a Bayesian setting.

resultsIn total, 368,839 individuals with incident AMI were registered between 1987 and 2016 in Denmark; 128,957 incident AMIs were fatal. The 28-day mortality decreased over time at national level with an odds ratio of 0.788 (95% credible interval (0.784, 0.792)) per 5-year period after adjusting for sociodemographic characteristics. The decrease in the 28-day mortality was geographically unequally distributed across the country and in a geographical region in northern Jutland, the 28-day mortality decreased significantly slower (4-12%) than at national level.

conclusionsDuring the period from 1987 to 2016, the 28-day mortality following an incident AMI decreased substantially in Denmark. However, in a local geographical region, the 28-day mortality decreased significantly slower than in the rest of the country both before and after adjusting for sociodemographic differences. Efforts should be made to keep geographical trend inequalities in the 28-day mortality to a minimum.

Indexed as

Myocardial InfarctionBayes TheoremCohort StudiesDenmarkHumansIncidence28-day mortalityAMIEpidemiologyGeographical variationNationwide registersSpatio-temporal analysis

Identifiers

PMID35246043
PMCPMC8896282

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