Evidence map›Paper›PMID 32722704›Full record

ArticlePloS one2020

Fine-scale geographic variations of rates of renal replacement therapy in northeastern France: Association with the socioeconomic context and accessibility to care.

Maxime Desmarets, Carole Ayav, Kadiatou Diallo, Florian Bayer, Frédéric Imbert, Erik André Sauleau, Elisabeth Monnet, VIGIE Study Group

Abstract read
In one paragraph

Article in PloS one, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. La Tunisie medicale · 2024
    Article
  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

8 authors.

Maxime DesmaretsCIC-1431 INSERM, CHU Besançon, Université de Franche-Comté, Besançon, France.ORCID 0000-0002-3801-5297
Carole AyavCIC-1433 Epidémiologie Clinique, INSERM, CHRU Nancy, Université de Lorraine, Nancy, France.
Kadiatou DialloCIC-1431 INSERM, CHU Besançon, Université de Franche-Comté, Besançon, France.
Florian BayerAgence de la Biomédecine, Saint Denis La Plaine, France.
Frédéric ImbertObservatoire Régional de la Santé d'Alsace, Strasbourg, France.
Erik André SauleauLaboratoire de Biostatistique, ICube UMR CNRS 7357, Université de Strasbourg, Strasbourg, France.
Elisabeth MonnetCIC-1431 INSERM, CHU Besançon, Université de Franche-Comté, Besançon, France.ORCID 0000-0002-3347-2579
VIGIE Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe strong geographic variations in the incidence rates of renal replacement therapy (RRT) for end-stage renal disease are not solely related to variations in the population's needs, such as the prevalence of diabetes or the deprivation level. Inequitable geographic access to health services has been involved in different countries but never in France, a country with a generous supply of health services and where the effect of the variability of medical practices was highlighted in an analysis conducted at the geographic scale of districts. Our ecological study, performed at the finer scale of townships in a French area of 8,370,616 inhabitants, investigated the association between RRT incidence rates, socioeconomic environment and geographic accessibility to healthcare while adjusting for morbidity level and medical practice patterns.

methodsUsing data from the Renal Epidemiology and Information Network registry, we estimated age-adjusted RRT incidence rates during 2010-2014 for the 282 townships of the area. A hierarchical Bayesian Poisson model was used to examine the association between incidence rates and 18 contextual variables describing population health status, socioeconomic level and health services characteristics. Relative risks (RRs) and 95% credible intervals (95% CrIs) for each variable were estimated for a 1-SD increase in incidence rate.

resultsDuring 2010-2014, 6,835 new patients ≥18 years old (4231 men, 2604 women) living in the study area started RRT; the RRT incidence rates by townships ranged from 21 to 499 per million inhabitants. In multivariate analysis, rates were related to the prevalence of diabetes [RR (95% CrI): 1.05 (1.04-1.11)], the median estimated glomerular filtration rate at dialysis initiation [1.14 (1.08-1.20)], and the proportion of incident patients ≥ 85 years old [1.08 (1.03-1.14)]. After adjusting for these factors, rates in townships increased with increasing French deprivation index [1.05 (1.01-1.08)] and decreased with increasing mean travel time to reach the closest nephrologist [0.92 (0.89-0.95]).

conclusionThese data confirm the influence of deprivation level, the prevalence of diabetes and medical practices on RRT incidence rates across a large French area. For the first time, an association was found with the distance to nephrology services. These data suggest possible inequitable geographic access to RRT within the French health system.

Indexed as

GeographySocioeconomic FactorsAgedBayes TheoremFemaleFranceHealth Services AccessibilityHumansKidney Failure, ChronicMaleRenal Replacement TherapySpatial Analysis

Identifiers

PMID32722704
PMCPMC7386572

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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.