Evidence map›Paper›PMID 38448901›Full record

ArticleBMC public health2024

A cross-sectional study determining prevalence and factors associated with ST-segment elevation myocardial infarction and non-ST segment elevation myocardial infarction in Iran: results from fasa registry on acute myocardial infarction (FaRMI).

Mehdi Sharafi, Azizallah Dehghan, Ali Mouseli, Hossein Fatemian, Leila Jamali, Sima Afrashteh, Mahsa Rostami Chijan, Zahra Mastaneh, Abdoljabbar Zakeri, Abdulhakim Alkamel

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. 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
3.2field-weighted citation impact, top 8% 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, 8 citations in OpenAlex.

  1. Observational
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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

10 authors at 4 institutions in 1 country.

Mehdi SharafiCardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Azizallah DehghanNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Ali MouseliSocial Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Hossein FatemianStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Leila JamaliDepartment of Cardiovascular Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Sima AfrashtehDepartment of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran. sima.afrashte3@gmail.com.
Mahsa Rostami ChijanDepartment of Persian Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Zahra MastanehDepartment of Health Information Management and Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Abdoljabbar ZakeriCardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Abdulhakim AlkamelNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Fasa University of Medical Sciences · IRHormozgan University of Medical Sciences · IRShiraz University of Medical Sciences · IRBushehr University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myocardial infarction is still a leading cause of death worldwide, accounting for roughly three million deaths yearly. This study aimed to investigate the prevalence and factors associated with ST-Segment Elevation Myocardial Infarction and Non-ST Segment Elevation Myocardial Infarction in Iran.

methodsThis cross-sectional study was conducted using the databases of the Fasa Registry on Acute Myocardial Infarction (FaRMI) and the Fasa Adult Cohort Study (FACS). chi-squared and one-way ANOVA tests were utilized to calculate the unadjusted associations between the study variables. A multivariate multinomial logistic regression model was also employed to determine the adjusted association of each independent variable with the risk of ST-elevation myocardial infarction (STEMI).

resultsThe prevalence of STEMI and non-STEMI was 31.60% and 11.80%, respectively. Multinomial logistic regression showed that older age, anemia, high WBC, and high creatinine levels were associated with higher odds of STEMI and non-STEMI compared to healthy individuals. In addition, based on the analysis being a woman(OR = 0.63,95%CI:0.51-0.78), anemia(OR = 0.67,95%CI:0.54-0.63)and hypertension (OR = 0.80,95%CI:0.65-0.97)decreased the likelihood of STEMI occurrence compared to non-STEMI, while high WBC(OR = 1.19,95%CI:1.15-1.23)increased the odds.

conclusionIn this study, significant predictors of MI risk included age, gender, anemia, lipid profile, inflammation, and renal function. Subsequent investigations ought to prioritize the comprehensive understanding of the underlying mechanisms that drive these connections and assess the effectiveness of specific interventions aimed at diminishing the occurrence of MI and improving patient outcomes.

Indexed as

AnemiaMyocardial InfarctionST Elevation Myocardial InfarctionAdultCohort StudiesCross-Sectional StudiesFemaleHumansIranPrevalenceRegistriesMyocardial infarctionNon-ST segmentPrevalenceST-segment

Identifiers

PMID38448901
PMCPMC10918930
OpenAlexW4392504732

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Registered trials

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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 OpenQuestion graph.