Evidence map›Paper›PMID 34521362›Full record

ArticleBMC public health2021

Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran.

Mohsen Soleimani, Nasser Bagheri

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. The spatial analysis of multimorbidity in Thai Cohort Study.Archives of public health = Archives belges de sante publique · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Mohsen SoleimaniDepartment of Information Technology, Zanjan University of medical sciences (ZUMS), Zanjan, Iran. Mohsensoleymani66@gmail.com.ORCID 0000-0002-5221-7573
Nasser BagheriCenter for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1097-2797
Australian National University · AUZanjan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial Infarction (MI) is a major important public health concern and has huge burden on health system across the world. This study aimed to explore the spatial and temporal analysis of the incidence of MI to identify potential clusters of the incidence of MI patterns across rural areas in Zanjan province, Iran. MATERIALS &

methodsThis was a retrospective and geospatial analysis study of the incidence of MI data from nine hospitals during 2014-2018. Three different spatial analysis methods (Spatial autocorrelation, hot spot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of the incidence of MI at the study area.

resultsThree thousand eight hundred twenty patients were registered at Zanjan hospitals due to MI during 2014-2018. The overall age-adjusted incidence rate of MI was 343 cases per 100,000 person which was raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person-year (a 30% increase, P < 0.001). Golabar region had the highest age-adjusted incidence rate of MI (515 cases per 100,000 person). Five hot spots and one high-high cluster were detected using spatial analysis methods.

conclusionThis study showed that there is a great deal of spatial variations in the pattern of the incidence of MI in Zanjan province. The high incidence rate of MI in the study area compared to the national average, is a warning to local health authorities to determine the possible causes of disease incidence and potential drivers of high-risk areas. The spatial cluster analysis provides new evidence for policy-makers to design tailored interventions to reduce the incidence of MI and allocate health resource to unmet need areas.

Indexed as

Myocardial InfarctionCluster AnalysisHumansIncidenceIranRetrospective StudiesSpatial AnalysisSpatio-Temporal AnalysisCluster and outlier analysisHot spot analysisIncidence rateMyocardial infarctionSpatial analysisSpatial autocorrelation

Identifiers

PMID34521362
PMCPMC8438974
OpenAlexW3199127413

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.