Evidence map›Paper›PMID 39747531›Full record

ArticleScientific reports2025

Comparison of 10-year atherosclerotic cardiovascular disease (ASCVD) risk in metropolitan and rural areas of South of Iran.

Mohammad Javad Zibaeenezhad, Mehrab Sayadi, Hossein Pourmontaseri, Davood Khalili, Mojtaba Farjam, Ehsan Bahramail, Nader Parsa, Azizallah Dehghan, Seyyed Saeed Mohammadi, Iman Razeghian-Jahromi and 2 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. The Impact of Diet and Sociodemographic Factors on Cardiovascular Health in University Students.International journal of environmental research and public health · 2025
    Article
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

12 authors.

Mohammad Javad ZibaeenezhadCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehrab SayadiCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Hossein PourmontaseriStudent Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
Davood KhaliliPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mojtaba FarjamNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Ehsan BahramailNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Nader ParsaCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Azizallah DehghanNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Seyyed Saeed MohammadiCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Iman Razeghian-JahromiCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. razejahromi@yahoo.com.
Hamed Bazrafshan DrissiCardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Matin SepehriniaStudent Research Committee, Fasa University of Medical Sciences, Fasa, Iran. matinsepehrinia98@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first step to reducing the growing burden of cardiovascular disease (CVD) is to find modifiable risk factors with the highest burden in each population. Urban and rural citizens may have different priorities in this regard. This study aimed to compare the 10-year incidence probability of CVD events and its associated risk factors between rural and urban areas in Iran. Data was extracted from two big cohorts, Fasa Adults Cohort Study (FACS) and Shiraz Heart Study (SHS), with participation of over 12,000 general population. Linear regression models were used to test the difference in CVD risk between two populations. Totally, 6,258 FACS and 6,101 SHS participants entered the study. Urban participants had a significantly higher mean ASCVD score (4.43% vs. 5.51%, p-value < 0.001). Also, they significantly showed higher body mass index, waist circumference, cholesterol level, fasting blood glucose level, systolic blood pressure, educational attainment, and occupational status. However, the prevalence of smoking was higher in rural areas. Notably, socioeconomic parameters including marital, occupational, and educational statuses seem to have strong impact on cardiovascular risk factors. After adjustment for all confounders, living in the urban areas seemed to be associated with higher atherosclerotic CVD risk (β = 0.78, 95%CI: [0.69-1.05]), which was consistent across both sexes. Given the higher risk of cardiovascular events in urban areas and different profiles of risk factors between these two regions, preventive strategies should be precisely and separately designed for each population by the health authorities and policymakers in order to reduce the CVD toll efficiently.

Indexed as

AtherosclerosisRural PopulationUrban PopulationAdultAgedCardiovascular DiseasesCohort StudiesFemaleHumansIncidenceIranMaleMiddle AgedRisk FactorsAtherosclerotic cardiovascular disease risk scoreCardiovascular risk factorsRuralUrban

Identifiers

PMID39747531
PMCPMC11696312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.