Serveur d'exploration sur les relations entre la France et l'Australie

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The metabolic syndrome and cancer: Is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?

Identifieur interne : 002567 ( PubMed/Checkpoint ); précédent : 002566; suivant : 002568

The metabolic syndrome and cancer: Is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?

Auteurs : J. Harding [Australie] ; M. Sooriyakumaran [Australie] ; K J Anstey [Australie] ; R. Adams [Australie] ; B. Balkau [France] ; T. Briffa [Australie] ; T M E. Davis [Australie] ; W A Davis [Australie] ; A. Dobson [Australie] ; G G Giles [Australie] ; J. Grant [Australie] ; M. Knuiman [Australie] ; M. Luszcz [Australie] ; P. Mitchell [Australie] ; J A Pasco [Australie] ; C. Reid [Australie] ; D. Simmons [Australie] ; L. Simons [Australie] ; A. Tonkin [Australie] ; M. Woodward [Royaume-Uni] ; J E Shaw [Australie] ; D J Magliano [Australie]

Source :

RBID : pubmed:26037090

Descripteurs français

English descriptors

Abstract

The metabolic syndrome (MetS) is a risk factor for cancer. However, it is not known if the MetS confers a greater cancer risk than the sum of its individual components, which components drive the association, or if the MetS predicts future cancer risk.

DOI: 10.1016/j.diabet.2015.04.006
PubMed: 26037090


Affiliations:


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pubmed:26037090

Le document en format XML

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<nlm:affiliation>IMPACT Strategic Research Centre School of Medicine, Deakin University, Geelong, Australia; NorthWest Academic Centre, Department of Medicine, the University of Melbourne, St Albans, Australia.</nlm:affiliation>
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<wicri:regionArea>IMPACT Strategic Research Centre School of Medicine, Deakin University, Geelong, Australia; NorthWest Academic Centre, Department of Medicine, the University of Melbourne, St Albans</wicri:regionArea>
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</affiliation>
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<name sortKey="Reid, C" sort="Reid, C" uniqKey="Reid C" first="C" last="Reid">C. Reid</name>
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<nlm:affiliation>School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.</nlm:affiliation>
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<wicri:regionArea>School of Public Health and Preventive Medicine, Monash University, Melbourne</wicri:regionArea>
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<settlement type="city">Melbourne</settlement>
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</placeName>
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<name sortKey="Simmons, D" sort="Simmons, D" uniqKey="Simmons D" first="D" last="Simmons">D. Simmons</name>
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<wicri:regionArea>School of Medicine, University of Western Sydney, Campbelltown, Australia; Department of Rural Health, the University of Melbourne, Shepparton</wicri:regionArea>
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<name sortKey="Simons, L" sort="Simons, L" uniqKey="Simons L" first="L" last="Simons">L. Simons</name>
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<nlm:affiliation>UNSW Australia Lipid Research Dept, St Vincent's Hospital, Sydney, Australia.</nlm:affiliation>
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<wicri:regionArea>UNSW Australia Lipid Research Dept, St Vincent's Hospital, Sydney</wicri:regionArea>
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<region type="état">Nouvelle-Galles du Sud</region>
</placeName>
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<name sortKey="Tonkin, A" sort="Tonkin, A" uniqKey="Tonkin A" first="A" last="Tonkin">A. Tonkin</name>
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<nlm:affiliation>School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.</nlm:affiliation>
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<region type="état">Victoria (État)</region>
</placeName>
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<author>
<name sortKey="Woodward, M" sort="Woodward, M" uniqKey="Woodward M" first="M" last="Woodward">M. Woodward</name>
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<nlm:affiliation>The George Institute for Global Health, the University of Sydney, Sydney, Australia; The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, UK.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>The George Institute for Global Health, the University of Sydney, Sydney, Australia; The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford</wicri:regionArea>
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<settlement type="city">Oxford</settlement>
<region type="nation">Angleterre</region>
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<name sortKey="Shaw, J E" sort="Shaw, J E" uniqKey="Shaw J" first="J E" last="Shaw">J E Shaw</name>
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<nlm:affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne</wicri:regionArea>
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<settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
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<name sortKey="Magliano, D J" sort="Magliano, D J" uniqKey="Magliano D" first="D J" last="Magliano">D J Magliano</name>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne</wicri:regionArea>
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<settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
</placeName>
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<series>
<title level="j">Diabetes & metabolism</title>
<idno type="eISSN">1878-1780</idno>
<imprint>
<date when="2015" type="published">2015</date>
</imprint>
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<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Metabolic Syndrome X (complications)</term>
<term>Metabolic Syndrome X (epidemiology)</term>
<term>Middle Aged</term>
<term>Neoplasms (complications)</term>
<term>Neoplasms (epidemiology)</term>
<term>Risk Factors</term>
</keywords>
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<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Sujet âgé</term>
<term>Syndrome métabolique X ()</term>
<term>Syndrome métabolique X (épidémiologie)</term>
<term>Tumeurs ()</term>
<term>Tumeurs (épidémiologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en">
<term>Metabolic Syndrome X</term>
<term>Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Metabolic Syndrome X</term>
<term>Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Syndrome métabolique X</term>
<term>Tumeurs</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Risk Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Sujet âgé</term>
<term>Syndrome métabolique X</term>
<term>Tumeurs</term>
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<front>
<div type="abstract" xml:lang="en">The metabolic syndrome (MetS) is a risk factor for cancer. However, it is not known if the MetS confers a greater cancer risk than the sum of its individual components, which components drive the association, or if the MetS predicts future cancer risk.</div>
</front>
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<PMID Version="1">26037090</PMID>
<DateCreated>
<Year>2015</Year>
<Month>12</Month>
<Day>15</Day>
</DateCreated>
<DateCompleted>
<Year>2016</Year>
<Month>09</Month>
<Day>20</Day>
</DateCompleted>
<DateRevised>
<Year>2017</Year>
<Month>11</Month>
<Day>16</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1878-1780</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>41</Volume>
<Issue>6</Issue>
<PubDate>
<Year>2015</Year>
<Month>Dec</Month>
</PubDate>
</JournalIssue>
<Title>Diabetes & metabolism</Title>
<ISOAbbreviation>Diabetes Metab.</ISOAbbreviation>
</Journal>
<ArticleTitle>The metabolic syndrome and cancer: Is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?</ArticleTitle>
<Pagination>
<MedlinePgn>463-9</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.diabet.2015.04.006</ELocationID>
<ELocationID EIdType="pii" ValidYN="Y">S1262-3636(15)00064-6</ELocationID>
<Abstract>
<AbstractText Label="AIMS" NlmCategory="OBJECTIVE">The metabolic syndrome (MetS) is a risk factor for cancer. However, it is not known if the MetS confers a greater cancer risk than the sum of its individual components, which components drive the association, or if the MetS predicts future cancer risk.</AbstractText>
<AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">We linked 20,648 participants from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on the MetS to national cancer registries and used Cox proportional hazards models to estimate associations of the MetS, the number of positive MetS components, and each of the five MetS components separately with the risk for overall, colorectal, prostate and breast cancer. Hazard ratios (HR) and 95% confidence intervals (95%CI) are reported. We assessed predictive ability of the MetS using Harrell's c-statistic.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The MetS was inversely associated with prostate cancer (HR 0.85; 95% CI 0.72-0.99). We found no evidence of an association between the MetS overall, colorectal and breast cancers. For those with five positive MetS components the HR was 1.12 (1.02-1.48) and 2.07 (1.26-3.39) for overall, and colorectal cancer, respectively, compared with those with zero positive MetS components. Greater waist circumference (WC) (1.38; 1.13-1.70) and elevated blood pressure (1.29; 1.01-1.64) were associated with colorectal cancer. Elevated WC and triglycerides were (inversely) associated with prostate cancer. MetS models were only poor to moderate discriminators for all cancer outcomes.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We show that the MetS is (inversely) associated with prostate cancer, but is not associated with overall, colorectal or breast cancer. Although, persons with five positive components of the MetS are at a 1.2 and 2.1 increased risk for overall and colorectal cancer, respectively, and these associations appear to be driven, largely, by elevated WC and BP. We also demonstrate that the MetS is only a moderate discriminator of cancer risk.</AbstractText>
<CopyrightInformation>Copyright © 2015 Elsevier Masson SAS. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Harding</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address: jessica.harding@bakeridi.edu.au.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Sooriyakumaran</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Anstey</LastName>
<ForeName>K J</ForeName>
<Initials>KJ</Initials>
<AffiliationInfo>
<Affiliation>Research School of Population Health, the Australian National University, Canberra, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Adams</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>The Health Observatory Discipline of Medicine, the University of Adelaide, Adelaide, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Balkau</LastName>
<ForeName>B</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Inserm, U1018, Centre for Research in Epidemiology and Population Health, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Briffa</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>School of Population Health, the University of Western Australia, Crawley, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Davis</LastName>
<ForeName>T M E</ForeName>
<Initials>TM</Initials>
<AffiliationInfo>
<Affiliation>School of Medicine and Pharmacology, the University of Western Australia, Fremantle, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Davis</LastName>
<ForeName>W A</ForeName>
<Initials>WA</Initials>
<AffiliationInfo>
<Affiliation>School of Medicine and Pharmacology, the University of Western Australia, Fremantle, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dobson</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>School of Population Health, the University of Queensland, Brisbane, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Giles</LastName>
<ForeName>G G</ForeName>
<Initials>GG</Initials>
<AffiliationInfo>
<Affiliation>Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Cancer Epidemiology Centre, the Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, School of Population and Global Heath, the University of Melbourne, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Grant</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Population Research & Outcome Studies, the University of Adelaide, Adelaide, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Knuiman</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>School of Population Health, the University of Western Australia, Crawley, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Luszcz</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Flinders Centre for Ageing Studies, Flinders University, Adelaide, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Mitchell</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
<AffiliationInfo>
<Affiliation>Westmead Millennium Institute, the University of Sydney, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Pasco</LastName>
<ForeName>J A</ForeName>
<Initials>JA</Initials>
<AffiliationInfo>
<Affiliation>IMPACT Strategic Research Centre School of Medicine, Deakin University, Geelong, Australia; NorthWest Academic Centre, Department of Medicine, the University of Melbourne, St Albans, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Reid</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Simmons</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
<AffiliationInfo>
<Affiliation>School of Medicine, University of Western Sydney, Campbelltown, Australia; Department of Rural Health, the University of Melbourne, Shepparton, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Simons</LastName>
<ForeName>L</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>UNSW Australia Lipid Research Dept, St Vincent's Hospital, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Tonkin</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Woodward</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>The George Institute for Global Health, the University of Sydney, Sydney, Australia; The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Shaw</LastName>
<ForeName>J E</ForeName>
<Initials>JE</Initials>
<AffiliationInfo>
<Affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Magliano</LastName>
<ForeName>D J</ForeName>
<Initials>DJ</Initials>
<AffiliationInfo>
<Affiliation>Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<Year>2015</Year>
<Month>05</Month>
<Day>30</Day>
</ArticleDate>
</Article>
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<Country>France</Country>
<MedlineTA>Diabetes Metab</MedlineTA>
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<ISSNLinking>1262-3636</ISSNLinking>
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</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
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<DescriptorName UI="D024821" MajorTopicYN="N">Metabolic Syndrome X</DescriptorName>
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<DescriptorName UI="D009369" MajorTopicYN="N">Neoplasms</DescriptorName>
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</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
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<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Cancer</Keyword>
<Keyword MajorTopicYN="N">Epidemiology</Keyword>
<Keyword MajorTopicYN="N">Metabolic syndrome</Keyword>
<Keyword MajorTopicYN="N">Prediction</Keyword>
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<Year>2016</Year>
<Month>9</Month>
<Day>22</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
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<li>France</li>
<li>Royaume-Uni</li>
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<li>Angleterre</li>
<li>Nouvelle-Galles du Sud</li>
<li>Oxfordshire</li>
<li>Victoria (État)</li>
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<li>Melbourne</li>
<li>Oxford</li>
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<li>Université de Sydney</li>
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<name sortKey="Harding, J" sort="Harding, J" uniqKey="Harding J" first="J" last="Harding">J. Harding</name>
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<name sortKey="Adams, R" sort="Adams, R" uniqKey="Adams R" first="R" last="Adams">R. Adams</name>
<name sortKey="Anstey, K J" sort="Anstey, K J" uniqKey="Anstey K" first="K J" last="Anstey">K J Anstey</name>
<name sortKey="Briffa, T" sort="Briffa, T" uniqKey="Briffa T" first="T" last="Briffa">T. Briffa</name>
<name sortKey="Davis, T M E" sort="Davis, T M E" uniqKey="Davis T" first="T M E" last="Davis">T M E. Davis</name>
<name sortKey="Davis, W A" sort="Davis, W A" uniqKey="Davis W" first="W A" last="Davis">W A Davis</name>
<name sortKey="Dobson, A" sort="Dobson, A" uniqKey="Dobson A" first="A" last="Dobson">A. Dobson</name>
<name sortKey="Giles, G G" sort="Giles, G G" uniqKey="Giles G" first="G G" last="Giles">G G Giles</name>
<name sortKey="Grant, J" sort="Grant, J" uniqKey="Grant J" first="J" last="Grant">J. Grant</name>
<name sortKey="Knuiman, M" sort="Knuiman, M" uniqKey="Knuiman M" first="M" last="Knuiman">M. Knuiman</name>
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<name sortKey="Magliano, D J" sort="Magliano, D J" uniqKey="Magliano D" first="D J" last="Magliano">D J Magliano</name>
<name sortKey="Mitchell, P" sort="Mitchell, P" uniqKey="Mitchell P" first="P" last="Mitchell">P. Mitchell</name>
<name sortKey="Pasco, J A" sort="Pasco, J A" uniqKey="Pasco J" first="J A" last="Pasco">J A Pasco</name>
<name sortKey="Reid, C" sort="Reid, C" uniqKey="Reid C" first="C" last="Reid">C. Reid</name>
<name sortKey="Shaw, J E" sort="Shaw, J E" uniqKey="Shaw J" first="J E" last="Shaw">J E Shaw</name>
<name sortKey="Simmons, D" sort="Simmons, D" uniqKey="Simmons D" first="D" last="Simmons">D. Simmons</name>
<name sortKey="Simons, L" sort="Simons, L" uniqKey="Simons L" first="L" last="Simons">L. Simons</name>
<name sortKey="Sooriyakumaran, M" sort="Sooriyakumaran, M" uniqKey="Sooriyakumaran M" first="M" last="Sooriyakumaran">M. Sooriyakumaran</name>
<name sortKey="Tonkin, A" sort="Tonkin, A" uniqKey="Tonkin A" first="A" last="Tonkin">A. Tonkin</name>
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<country name="France">
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<name sortKey="Balkau, B" sort="Balkau, B" uniqKey="Balkau B" first="B" last="Balkau">B. Balkau</name>
</noRegion>
</country>
<country name="Royaume-Uni">
<region name="Angleterre">
<name sortKey="Woodward, M" sort="Woodward, M" uniqKey="Woodward M" first="M" last="Woodward">M. Woodward</name>
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EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002567 | SxmlIndent | more

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{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
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   |clé=     pubmed:26037090
   |texte=   The metabolic syndrome and cancer: Is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?
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       | NlmPubMed2Wicri -a AustralieFrV1 

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