Evidence map›Paper›PMID 40199605›Full record

ArticleEuropean journal of public health2025

Socioeconomic inequalities and diabetes complications: an analysis of administrative data from Hungary.

Péter Elek, Balázs Mayer, Orsolya Varga

Abstract read
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Péter ElekHealth and Population Research Group, HUN-REN Centre for Economic and Regional Studies, Budapest, Hungary.ORCID 0000-0001-6196-0767
Balázs MayerHealth and Population Research Group, HUN-REN Centre for Economic and Regional Studies, Budapest, Hungary.
Orsolya VargaDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.ORCID 0000-0001-8771-3975

Funding

National Research OTKA FK 134573National Research, Development and Innovation Office of Hungary OTKA FK 134573National Research, Development and Innovation Office of Hungary OTKA FK 143383
6 · The paper itself

Abstract

Diabetes complications are associated with increased healthcare costs and worsened patient outcomes. In this paper, we analyse how individual-level demographic and territorial-level socioeconomic and healthcare variables influence the presence and severity of diabetes complications and their relationship with mortality. Our study utilizes anonymized administrative healthcare data on all diabetes patients of Hungary between 2010 and 2017. We construct settlement-year level and individual-year level panel datasets to analyse diabetes prevalence, incidence and complications, employing Poisson and logit models to explore associations between complications and the explanatory variables. The adapted Diabetes Complications Severity Index (aDCSI) is employed to quantitatively evaluate the severity of complications by aggregating individual complication scores from ICD-10 diagnosis codes. We find that diabetes prevalence and incidence are higher in settlements with above-median unemployment rates, where patients exhibit more severe complications, as shown by higher average aDCSI scores. Among socioeconomic factors, unemployment rate is particularly associated with increased aDCSI scores, while better healthcare access is associated with lower aDCSI scores in unadjusted but with higher scores in adjusted models. The presence and severity of complications, especially renal, cardiovascular and peripheral vascular ones, substantially increase 5-year inpatient mortality. Most of the mortality difference by settlement-level unemployment rate disappears when complications are accounted for. We conclude that socioeconomic inequalities, particularly higher unemployment rates, are strongly linked to diabetes complications and associated mortality risk. Addressing these disparities through improved healthcare accessibility and targeted public health strategies could play a crucial role in reducing the burden of diabetes-related complications and improving patient outcomes.

Indexed as

Diabetes ComplicationsHealth Status DisparitiesSocioeconomic FactorsAdultAgedFemaleHumansHungaryIncidenceMaleMiddle AgedPrevalenceSeverity of Illness IndexUnemployment

Identifiers

PMID40199605
PMCPMC12311331

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.