Serveur d'exploration Hippolyte Bernheim

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The EVEREST study: an international collaboration*

Identifieur interne : 000001 ( Pmc/Curation ); précédent : 000000; suivant : 000002

The EVEREST study: an international collaboration*

Auteurs : Fergus J. Caskey ; Vianda S. Stel [Pays-Bas] ; Robert F. Elliott [Royaume-Uni] ; Kitty J. Jager [Pays-Bas] ; Adrian Covic [Roumanie] ; Ana Cusumano ; Claudia Geue [Royaume-Uni] ; Anneke Kramer [Pays-Bas] ; Benedicte Stengel ; Alison M. Macleod [Royaume-Uni]

Source :

RBID : PMC:4421543

Abstract

Rates of initiation of renal replacement therapy (RRT), use of home modalities of treatment and patient outcomes vary considerably between countries. This paper reports the methods and baseline characteristics of countries participating in the EVEREST study (n = 46), a global collaboration examining the association between medical and non-medical factors and RRT incidence, modality mix and survival. Numbers of incident and prevalent patients were collected for current (2003–05) and historic (1983–85, 1988–90, 1993–95 and 1998–2000) periods stratified, where available, by age, gender, treatment modality and cause of end stage renal disease (diabetic versus non-diabetic). General population age and health indicators and national-level macroeconomic data were collected from secondary data sources. National experts provided primary data on renal service funding, resources and organization. The median (inter quartile range) RRT incidence per million of the population (pmp) was 130 pmp (102–167 pmp). The general population life expectancy at 60 was 22.1 years (19.7–23.1 years) and 6.9% had diabetes mellitus (5.4–9.0%). Healthcare spending as a percentage of gross domestic product was 8.1% (5.6–9.3%). Countries averaged nine dialysis facilities pmp (4–12 pmp), with 69.0% (43.9–99.0%) owned by the public or private not-for-profit sector. The number of nephrologists ranged from 0.5 to 48 pmp (median 12 pmp). The heterogeneity of EVEREST countries will enable modelling to examine the independent association between medical and non-medical factors on RRT epidemiology.


Url:
DOI: 10.1093/ndtplus/sfp146
PubMed: 25949402
PubMed Central: 4421543

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PMC:4421543

Le document en format XML

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<p>Rates of initiation of renal replacement therapy (RRT), use of home modalities of treatment and patient outcomes vary considerably between countries. This paper reports the methods and baseline characteristics of countries participating in the EVEREST study (
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non-diabetic). General population age and health indicators and national-level macroeconomic data were collected from secondary data sources. National experts provided primary data on renal service funding, resources and organization. The median (inter quartile range) RRT incidence per million of the population (pmp) was 130 pmp (102–167 pmp). The general population life expectancy at 60 was 22.1 years (19.7–23.1 years) and 6.9% had diabetes mellitus (5.4–9.0%). Healthcare spending as a percentage of gross domestic product was 8.1% (5.6–9.3%). Countries averaged nine dialysis facilities pmp (4–12 pmp), with 69.0% (43.9–99.0%) owned by the public or private not-for-profit sector. The number of nephrologists ranged from 0.5 to 48 pmp (median 12 pmp). The heterogeneity of EVEREST countries will enable modelling to examine the independent association between medical and non-medical factors on RRT epidemiology.</p>
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<journal-meta>
<journal-id journal-id-type="nlm-ta">NDT Plus</journal-id>
<journal-id journal-id-type="iso-abbrev">NDT Plus</journal-id>
<journal-id journal-id-type="publisher-id">ckj</journal-id>
<journal-id journal-id-type="hwp">ndtplus</journal-id>
<journal-title-group>
<journal-title>NDT Plus</journal-title>
</journal-title-group>
<issn pub-type="ppub">1753-0784</issn>
<issn pub-type="epub">1753-0792</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25949402</article-id>
<article-id pub-id-type="pmc">4421543</article-id>
<article-id pub-id-type="doi">10.1093/ndtplus/sfp146</article-id>
<article-id pub-id-type="publisher-id">sfp146</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Special Feature</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The EVEREST study: an international collaboration
<xref ref-type="author-notes" rid="AFN1">*</xref>
</article-title>
<alt-title alt-title-type="left-running">F. J. Caskey
<italic>et al.</italic>
</alt-title>
<alt-title alt-title-type="right-running">The EVEREST study</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Caskey</surname>
<given-names>Fergus J.</given-names>
</name>
<xref ref-type="aff" rid="af1 af2">1,2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stel</surname>
<given-names>Vianda S.</given-names>
</name>
<xref ref-type="aff" rid="af3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Elliott</surname>
<given-names>Robert F.</given-names>
</name>
<xref ref-type="aff" rid="af4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jager</surname>
<given-names>Kitty J.</given-names>
</name>
<xref ref-type="aff" rid="af3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Covic</surname>
<given-names>Adrian</given-names>
</name>
<xref ref-type="aff" rid="af5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cusumano</surname>
<given-names>Ana</given-names>
</name>
<xref ref-type="aff" rid="af6 af7">6,7</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Geue</surname>
<given-names>Claudia</given-names>
</name>
<xref ref-type="aff" rid="af4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kramer</surname>
<given-names>Anneke</given-names>
</name>
<xref ref-type="aff" rid="af3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stengel</surname>
<given-names>Benedicte</given-names>
</name>
<xref ref-type="aff" rid="af8 af9">8,9</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>MacLeod</surname>
<given-names>Alison M.</given-names>
</name>
<xref ref-type="aff" rid="af10">10</xref>
</contrib>
<aff id="af1">
<label>1</label>
<institution>Richard Bright Renal Unit, Bristol, UK</institution>
</aff>
<aff id="af2">
<label>2</label>
<institution>Clinical Sciences North Bristol, University of Bristol</institution>
,
<addr-line>Bristol</addr-line>
,
<country>UK</country>
</aff>
<aff id="af3">
<label>3</label>
<institution>ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center</institution>
,
<addr-line>Amsterdam</addr-line>
,
<country>The Netherlands</country>
</aff>
<aff id="af4">
<label>4</label>
<institution>HERU, University of Aberdeen</institution>
,
<addr-line>Aberdeen</addr-line>
,
<country>UK</country>
</aff>
<aff id="af5">
<label>5</label>
<institution>Societatea Romana de Nefrologie and University of Medicine</institution>
, “
<addr-line>Gr T Popa</addr-line>
”,
<country>Iasi, Romania</country>
</aff>
<aff id="af6">
<label>6</label>
<institution>Sociedad Latinoamericana de Nefrologia e Hipertensión</institution>
,
<country>Latin America</country>
</aff>
<aff id="af7">
<label>7</label>
<institution>CEMIC University Institute</institution>
,
<addr-line>Buenos Aires</addr-line>
,
<country>Argentina</country>
</aff>
<aff id="af8">
<label>8</label>
<addr-line>Inserm U780, Villejuif</addr-line>
,
<country>France</country>
</aff>
<aff id="af9">
<label>9</label>
<institution>Univ Paris-Sud</institution>
,
<addr-line>Villejuif</addr-line>
,
<country>France</country>
</aff>
<aff id="af10">
<label>10</label>
<institution>School of Medicine and Dentistry, Division of Applied Sciences, University of Aberdeen</institution>
,
<addr-line>Aberdeen</addr-line>
,
<country>UK</country>
</aff>
</contrib-group>
<author-notes>
<corresp>
<italic>Correspondence and offprint requests to</italic>
: Fergus J. Caskey; E-mail:
<email>fergus.caskey@nbt.nhs.uk</email>
or
<email>fjcaskey@doctors.org.uk</email>
</corresp>
<fn id="AFN1">
<label>*</label>
<p>The EVEREST study is supported by the ERA-EDTA Quality European Studies (QUEST) Initiative.</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<month>2</month>
<year>2010</year>
</pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>10</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>19</day>
<month>10</month>
<year>2009</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on the . </pmc-comment>
<volume>3</volume>
<issue>1</issue>
<fpage>28</fpage>
<lpage>36</lpage>
<history>
<date date-type="received">
<day>16</day>
<month>9</month>
<year>2009</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>9</month>
<year>2009</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author 2009. Published by Oxford University Press [on behalf of ERA-EDTA]. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org</copyright-statement>
<copyright-year>2009</copyright-year>
<copyright-holder>Oxford University Press</copyright-holder>
<license license-type="creative-commons" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (
<uri xlink:type="simple" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</uri>
), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com</license-p>
</license>
</permissions>
<abstract>
<p>Rates of initiation of renal replacement therapy (RRT), use of home modalities of treatment and patient outcomes vary considerably between countries. This paper reports the methods and baseline characteristics of countries participating in the EVEREST study (
<italic>n</italic>
= 46), a global collaboration examining the association between medical and non-medical factors and RRT incidence, modality mix and survival. Numbers of incident and prevalent patients were collected for current (2003–05) and historic (1983–85, 1988–90, 1993–95 and 1998–2000) periods stratified, where available, by age, gender, treatment modality and cause of end stage renal disease (diabetic
<italic>versus</italic>
non-diabetic). General population age and health indicators and national-level macroeconomic data were collected from secondary data sources. National experts provided primary data on renal service funding, resources and organization. The median (inter quartile range) RRT incidence per million of the population (pmp) was 130 pmp (102–167 pmp). The general population life expectancy at 60 was 22.1 years (19.7–23.1 years) and 6.9% had diabetes mellitus (5.4–9.0%). Healthcare spending as a percentage of gross domestic product was 8.1% (5.6–9.3%). Countries averaged nine dialysis facilities pmp (4–12 pmp), with 69.0% (43.9–99.0%) owned by the public or private not-for-profit sector. The number of nephrologists ranged from 0.5 to 48 pmp (median 12 pmp). The heterogeneity of EVEREST countries will enable modelling to examine the independent association between medical and non-medical factors on RRT epidemiology.</p>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>dialysis</kwd>
<kwd>epidemiology and outcomes</kwd>
<kwd>risk factors</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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