Evidence map›Paper›PMID 40989993›Full record

ArticleClinical kidney journal2025

Social deprivation as a key driver of spatial disparities in end-stage kidney disease incidence.

Aghiles Hamroun, Amadou Tidiane Niang, Florent Occelli, Camille Frévent, Martin Paumelle, Clémence Béchade, Florian Bayer, Marta Blangiardo, Philippe Amouyel, Luc Dauchet and 3 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 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

13 authors.

Aghiles HamrounDepartment of Public Health Epidemiology, Univ. Lille, Lille University Hospital, Lille, France.ORCID https://orcid.org/0000-0003-4988-206X
Amadou Tidiane NiangUniv Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.
Florent OccelliUniv. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Lille, France.
Camille FréventUniv Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.
Martin PaumelleUniv. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Lille, France.
Clémence BéchadeService de Néphrologie, Université de Normandie, UNICAEN, CHU de Caen Normandie, Caen, France.
Florian BayerREIN Registry National Coordination, Biomedicine Agency, Saint-Denis-La-Plaine, France.
Marta BlangiardoMRC Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-1621-704X
Philippe AmouyelDepartment of Public Health Epidemiology, Univ. Lille, Lille University Hospital, Lille, France.ORCID https://orcid.org/0000-0001-9088-234X
Luc DauchetDepartment of Public Health Epidemiology, Univ. Lille, Lille University Hospital, Lille, France.
François GlowackiNephrology, Dialysis, Transplantation, and Apheresis Department, Lille University Hospital Center, Lille, France.
Cécile CouchoudREIN Registry National Coordination, Biomedicine Agency, Saint-Denis-La-Plaine, France.ORCID https://orcid.org/0000-0002-9273-660X
Michaël GéninUniv Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite France's universal healthcare system, significant geographic disparities in the incidence of end-stage kidney disease (ESKD) persist. We hypothesized that social deprivation is a major driver of these spatial variations, independent of healthcare access and clinical risk factors, and that its contribution is stable over time. Methods: We conducted an ecological study including 102 226 incident ESKD cases across 34 830 municipalities in metropolitan France from 2012 to 2021, using data from the national REIN (Renal Epidemiology and Information Network) registry. A Bayesian hierarchical spatiotemporal model was used to estimate the association between ESKD incidence and ecological-level covariates: social deprivation [measured by the French European Deprivation Index (EDI)], diabetes prevalence, dialysis center accessibility and long-term exposure to PM Results: Social deprivation was strongly associated with ESKD incidence [relative risk per 1 standard deviation increase in EDI: 1.10 (95% credible interval 1.09-1.11)] and explained 34.7% of its spatial variability. The association was only partially mediated by diabetes prevalence [mediation proportion: 15.3% (95% confidence interval 12.5-18.2)]. The model incorporating all covariates explained 49.9% of the observed spatial heterogeneity. The effect of social deprivation remained consistent over time. Reducing deprivation in the most disadvantaged areas to the levels of the 5th, 25th and 50th percentiles of less deprived areas could have prevented an estimated 23 092, 17 450 and 13 601 ESKD cases, respectively, over the study period. Conclusions: Social deprivation is the leading ecological determinant of spatial disparities in ESKD incidence in France, with limited mediation by clinical factors and persistent effects despite universal healthcare. These findings underscore the need to address social determinants of health and to adapt kidney care delivery models to better reach socioeconomically disadvantaged populations.

Indexed as

end-stage kidney diseaseincidencepopulation-based registrysocial deprivationspatial disparities

Identifiers

PMID40989993
PMCPMC12451440

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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.