Evidence map›Paper›PMID 42192395›Full record

ArticleBMC public health2026

Analysis of inequality in cardiovascular mortality in Isfahan County: a retrospective registry-based study of social and demographic determinants.

Reza Eshraghi, Maryam Moeeni, Salman Bashzar

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Reza EshraghiSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Daneshgah Bvld, Isfahan, 8174673441, Iran. eshraghi.rza@gmail.com.ORCID http://orcid.org/0000-0003-3435-3851
Maryam MoeeniSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Daneshgah Bvld, Isfahan, 8174673441, Iran.
Salman BashzarSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Daneshgah Bvld, Isfahan, 8174673441, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are the leading cause of mortality in Iran, yet the distribution of this burden across social groups is poorly understood. This retrospective registry-based study analyzed the mortality data from 2018 to 2024 within Isfahan County to quantify socio-demographic inequalities. During the study period, a total of 177,899 deaths were recorded, of which 65,594 (36.8%) were attributed to cardiovascular diseases. Using the Wagstaff-normalized Concentration Index (CI), we found significant age differences (CI = 0.298), with hypertension mortality most concentrated among the elderly. While one third of educational data were missing, a significant pro-poor inequality was observed based on education (CI=-0.126), indicating a higher concentration of mortality among less-educated individuals. Subgroup analyses revealed dramatically that age-based inequality was dramatically more pronounced among Afghan nationals (CI = 0.591) compared to Iranians (CI = 0.285), and was slightly more severe in females than males. These findings suggest that CVDs mortality is disproportionately borne by the elderly, the less educated, and marginalized migrant groups, underscoring an urgent need for public health policies that target these vulnerable populations through equitable access to care and tailored risk factor management.

Indexed as

Cardiovascular DiseasesHealth Status DisparitiesAdolescentAdultAgedAged, 80 and overFemaleHumansIranMaleMiddle AgedRegistriesRetrospective StudiesSocioeconomic Disparities in HealthSocioeconomic FactorsYoung AdultCardiovascular DiseasesConcentration IndexInequalityIsfahanMortalitySocioeconomic Factors

Identifiers

PMID42192395
PMCPMC13390399

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.