Evidence map›Paper›PMID 38484146›Full record

ArticleEuropean journal of public health2024

Sex-dependent effect of socioeconomic status on cardiovascular event risk in a population-based cohort of patients with type 2 diabetes.

Mónica Enguita-Germán, Ibai Tamayo, Julián Librero, Asier Ballesteros-Domínguez, Ignacio Oscoz-Villanueva, Arkaitz Galbete, Laura Arnedo, Koldo Cambra, Javier Gorricho, Conchi Moreno-Iribas and 2 more

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 7 institutions in 1 country.

Mónica Enguita-GermánUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0002-2890-1252
Ibai TamayoUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0003-2860-3359
Julián LibreroUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0002-4859-9054
Asier Ballesteros-DomínguezUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0002-2195-4669
Ignacio Oscoz-VillanuevaUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0009-0004-0387-6056
Arkaitz GalbeteUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0001-5622-5418
Laura ArnedoInstituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.ORCID 0000-0003-2329-3267
Koldo CambraDirección de Salud Pública y Adicciones, Departamento de Sanidad del Gobierno Vasco, Vitoria-Gasteiz, Spain.ORCID 0000-0002-1355-8412
Javier GorrichoServicio de Evaluación y Difusión de resultados en Salud, Servicio Navarro de Salud (SNS-O), Pamplona, Spain.ORCID 0000-0003-3609-9922
Conchi Moreno-IribasInstituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.ORCID 0000-0001-6537-0131
Eduardo Millán-OrtuondoOsakidetza-Servicio Vasco de Salud, Bilbao, Spain.ORCID 0000-0002-9688-9304
Berta Ibáñez-BeroizUnidad de Metodología, Navarrabiomed-HUN-UPNA, Pamplona, Spain.ORCID 0000-0002-7797-4845
Red de Investigación en Actividades Preventivas y Promoción de la Salud · ESBasque Government · ESInstitut d'Estadística de Catalunya · ESInstituto de Salud Pública de Navarra · ESNavarre Institute of Health Research · ESOsakidetza · ESServicio Navarro de Salud · ES

Funding

European Regional Development FundingInstituto de Salud Carlos III PI15/02196Instituto de Salud Carlos III PI19/00154Research Network on Health Services in Chronic DiseasesResearch Network on Health Services in Chronic Diseases-REDISSEC RD16/0001/0014
6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) factors often result in profound health inequalities among populations, and their impact may differ between sexes. The aim of this study was to estimate and compare the effect of socioeconomic status indicators on incident cardiovascular disease (CVD)-related events among males and females with type 2 diabetes (T2D).

methodsA population-based cohort from a southern European region including 24,650 patients with T2D was followed for five years. The sex-specific associations between SES indicators and the first occurring CVD event were modeled using multivariate Fine-Gray competing risk models. Coronary Heart Disease (CHD) and stroke were considered secondary outcomes.

resultsPatients without a formal education had a significantly higher risk of CVD than those with a high school or university education, with adjusted hazard ratios (HRs) equal to 1.24 (95%CI: 1.09-1.41) for males and 1.50 (95%CI: 1.09-2.06) for females. Patients with <18 000€ income had also higher CVD risk than those with ≥18 000€, with HRs equal to 1.44 (95%CI: 1.29-1.59) for males and 1.42 (95%CI: 1.26-1.60) for females. Being immigrant showed a HR equal to 0.81 (95%CI: 0.66-0.99) for males and 1.13 (95%CI: 0.68-1.87) for females. Similar results were observed for stroke, but differed for CHD when income is used, which had higher effect in females.

conclusionSocioeconomic inequalities in CVD outcomes are present among T2D patients, and their magnitude for educational attainment is sex-dependent, being higher in females, suggesting the need to consider them when designing tailored primary prevention and management strategies.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Social ClassAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsSocioeconomic Factors

Identifiers

PMID38484146
PMCPMC11161156
OpenAlexW4392791158

What OpenQuestion 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 OpenQuestion graph.