Evidence map›Paper›PMID 25713704›Full record

ArticleClinical kidney journal2015

Spatial distribution of end-stage renal disease (ESRD) and social inequalities in mixed urban and rural areas: a study in the Bretagne administrative region of France.

Wahida Kihal-Talantikite, Séverine Deguen, Cindy Padilla, Muriel Siebert, Cécile Couchoud, Cécile Vigneau, Sahar Bayat

Open access · hybridAbstract read
In one paragraph

Article in Clinical kidney journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Wahida Kihal-TalantikiteEHESP Rennes, Sorbonne Paris Cité , Rennes , France.
Séverine DeguenEHESP Rennes, Sorbonne Paris Cité , Rennes , France ; Inserm UMR 1085-IRSET , Rennes , France.
Cindy PadillaInserm UMR 1085-IRSET , Rennes , France.
Muriel SiebertService de néphrologie , CHU Rennes , Rennes , France.
Cécile CouchoudAgence de la biomédecine , Saint Denis La Plaine , France.
Cécile VigneauService de néphrologie , CHU Rennes , Rennes , France ; UMR 6290, équipe Kyca, Université de Rennes 1 , Rennes , France.
Sahar BayatEHESP Rennes, Sorbonne Paris Cité, EA MOS , Rennes , France.
École des Hautes Études en Santé Publique · FRAgence de la Biomédecine · FRHôpital Pontchaillou · FRInstitut de génétique et de développement de Rennes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have investigated the implication of biological and environmental factors on geographic variations of end-stage renal disease (ESRD) incidence at large area scales, but none of them assessed the implication of neighbourhood characteristics (healthcare supply, socio-economic level and urbanization degree) on spatial repartition of ESRD. We evaluated the spatial implications of adjustment for neighbourhood characteristics on the spatial distribution of ESRD incidence at the smallest geographic unit in France.

methodsAll adult patients living in Bretagne and beginning renal replacement therapy during the 2004-09 period were included. Their residential address was geocoded at the census block level. Each census block was characterized by socio-economic deprivation index, healthcare supply and rural/urban typology. Using a spatial scan statistic, we examined whether there were significant clusters of high risk of ESRD incidence.

resultsThe ESRD incidence was non-randomly spatially distributed, with a cluster of high risk in the western Bretagne region (relative risk, RR = 1.28, P-value = 0.0003). Adjustment for sex, age and neighbourhood characteristics induced cluster shifts. After these adjustments, a significant cluster (P = 0.013) persisted.

conclusionsOur spatial analysis of ESRD incidence at a fine scale, across a mixed rural/urban area, indicated that, beyond age and sex, neighbourhood characteristics explained a great part of spatial distribution of ESRD incidence. However, to better understand spatial variation of ESRD incidence, it would be necessary to research and adjust for other determinants of ESRD.

Indexed as

ESRD incidencefine geographic scaleneighbourhood deprivationspatial analysis

Identifiers

PMID25713704
PMCPMC4310433
OpenAlexW2132701675

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LicenceCC BY-NC
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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.