Evidence map›Paper›PMID 40874760›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2026

67 national-level factors potentially related to the incidence of kidney replacement therapy across Europe.

Eva Pella, Rianne Boenink, Anneke Kramer, Kitty J Jager, Alberto Ortiz, Vianda S Stel

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2026. 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. Over 500 000 people on kidney replacement therapy in the European Union.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Review
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

6 authors.

Eva PellaNephrocare Hemodialysis Unit, Thessaloniki, Greece.ORCID 0000-0001-8383-2184
Rianne BoeninkERA Registry, Department of Medical Informatics, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-9035-2832
Anneke KramerERA Registry, Department of Medical Informatics, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-7560-2669
Kitty J JagerERA Registry, Department of Medical Informatics, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-0444-8569
Alberto OrtizDepartment of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.ORCID 0000-0002-9805-9523
Vianda S StelERA Registry, Department of Medical Informatics, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-0007-1947

Funding

Comunidad de Madrid en Biomedicina P2022/BMD-7223COST CA21165European Renal AssociationEuropean Union 101101220European Union 101137054European Union 101168626European Union PMP21/00109FEDERInstituto de Salud Carlos III PI21/00251Instituto de Salud Carlos III PI22/00050Instituto de Salud Carlos III PI22/00469Instituto de Salud Carlos III RD21/0005/0001Instituto de Salud Carlos III RD24/0004/0001
6 · The paper itself

Abstract

backgroundKidney replacement therapy (KRT) incidence varies considerably across European countries. We aimed to provide an overview of factors potentially related to KRT incidence for all individual European countries and across low, middle and high KRT incidence countries and to describe the relationship between these factors and KRT incidence.

methodsWe obtained unadjusted KRT incidence rates from the European Renal Association (ERA) Registry annual reports and studies. Countries were divided into low [0-100 per million population (pmp)], middle (100-200 pmp) and high (>200 pmp) KRT incidence countries. Online sources were searched for information on factors potentially related to KRT incidence including geographic, socioeconomic, sociocultural and health-related factors, and factors related to chronic kidney disease (CKD) and national capacity for CKD prevention. Univariate linear or polynomial regression were used to examine whether factors and KRT incidence were related, with the R coefficient as metric of correlation strength. Significant factors were also evaluated separately in less affluent and wealthy countries.

resultsThirty-eight European countries were included, and divided into 12 low, 21 middle and 5 high KRT incidence countries. Among 67 factors evaluated, the number of practicing physicians (R = 0.374, P = .023), the population density (R = 0.508, P = .001), the median age at KRT initiation (R = 0.549, P = .001), the percentages of CKD-attributed deaths (R = 0.418, P = .038) and disability-adjusted life years (R = 0.420, P = .010), and the physical inactivity prevalence (R = 0.569, P < .001) were significantly positively correlated with KRT incidence. These findings were consistent among less affluent countries, while median age at KRT initiation was the only significant factor among wealthy countries (R = 0.889, P < .001). After multiple testing correction, median age at KRT initiation, physical inactivity prevalence and population density remained correlated with KRT incidence.

conclusionsThese findings may be a first step for policy makers, stakeholders and nephrologists to optimize healthcare (planning) regarding KRT initiation and reduce KRT incidence disparities.

Indexed as

RegistriesRenal Insufficiency, ChronicRenal Replacement TherapyEuropeFemaleHumansIncidenceMaleMiddle AgedPrognosisRisk FactorsSocioeconomic Factorsagingdisease burdenheterogeneitykidney replacement therapyphysical activity

Identifiers

PMID40874760
PMCPMC12855609

What Socratic holds

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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 Socratic graph.