AustralieFrV1, PubMed, Checkpoint, bibRecord, 002B49

Global burden of cancer attributable to high body-mass index in 2012: a population-based study.

Identifieur interne : 002B49 ( PubMed/Checkpoint ); précédent : 002B48; suivant : 002B50

Global burden of cancer attributable to high body-mass index in 2012: a population-based study.

Auteurs : Melina Arnold [France] ; Nirmala Pandeya [Australie] ; Graham Byrnes [France] ; Prof Andrew G. Renehan [Royaume-Uni] ; Gretchen A. Stevens [Suisse] ; Prof Majid Ezzati [Royaume-Uni] ; Jacques Ferlay [France] ; J Jaime Miranda [Pérou] ; Isabelle Romieu [France] ; Rajesh Dikshit [Inde] ; David Forman [France] ; Isabelle Soerjomataram [France]

Source :

The Lancet. Oncology [ 1474-5488 ] ; 2015.

RBID : pubmed:25467404

Descripteurs français

KwdFr :
- Adulte, Adulte d'âge moyen, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs temps, Femelle, Humains, Incidence, Indice de masse corporelle, Mâle, Obésité (), Obésité (diagnostic), Obésité (épidémiologie), Oestrogénothérapie substitutive (effets indésirables), Pays en voie de développement, Prise de poids, Répartition par sexe, Répartition par âge, Santé mondiale, Sujet âgé, Tabagisme (effets indésirables), Tabagisme (épidémiologie), Tumeurs (), Tumeurs (diagnostic), Tumeurs (épidémiologie).
MESH :
- diagnostic : Obésité, Tumeurs.
- effets indésirables : Oestrogénothérapie substitutive, Tabagisme.
- épidémiologie : Obésité, Tabagisme, Tumeurs.
- Adulte, Adulte d'âge moyen, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs temps, Femelle, Humains, Incidence, Indice de masse corporelle, Mâle, Obésité, Pays en voie de développement, Prise de poids, Répartition par sexe, Répartition par âge, Santé mondiale, Sujet âgé, Tumeurs.

English descriptors

KwdEn :
- Adult, Age Distribution, Age Factors, Aged, Body Mass Index, Developing Countries, Estrogen Replacement Therapy (adverse effects), Female, Global Health, Humans, Incidence, Male, Middle Aged, Neoplasms (diagnosis), Neoplasms (epidemiology), Neoplasms (prevention & control), Obesity (diagnosis), Obesity (epidemiology), Obesity (prevention & control), Risk Factors, Sex Distribution, Sex Factors, Smoking (adverse effects), Smoking (epidemiology), Time Factors, Weight Gain.
MESH :
- adverse effects : Estrogen Replacement Therapy, Smoking.
- diagnosis : Neoplasms, Obesity.
- epidemiology : Neoplasms, Obesity, Smoking.
- prevention & control : Neoplasms, Obesity.
- Adult, Age Distribution, Age Factors, Aged, Body Mass Index, Developing Countries, Female, Global Health, Humans, Incidence, Male, Middle Aged, Risk Factors, Sex Distribution, Sex Factors, Time Factors, Weight Gain.

Abstract

High body-mass index (BMI; defined as 25 kg/m(2) or greater) is associated with increased risk of cancer. To inform public health policy and future research, we estimated the global burden of cancer attributable to high BMI in 2012.

DOI: 10.1016/S1470-2045(14)71123-4
PubMed: 25467404

Affiliations:

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Le document en format XML

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<term>Age Distribution</term>
<term>Age Factors</term>
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<term>Developing Countries</term>
<term>Estrogen Replacement Therapy (adverse effects)</term>
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<term>Facteurs sexuels</term>
<term>Facteurs temps</term>
<term>Femelle</term>
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<term>Incidence</term>
<term>Indice de masse corporelle</term>
<term>Mâle</term>
<term>Obésité ()</term>
<term>Obésité (diagnostic)</term>
<term>Obésité (épidémiologie)</term>
<term>Oestrogénothérapie substitutive (effets indésirables)</term>
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<term>Répartition par âge</term>
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<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Neoplasms</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Obésité</term>
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</keywords>
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<term>Age Distribution</term>
<term>Age Factors</term>
<term>Aged</term>
<term>Body Mass Index</term>
<term>Developing Countries</term>
<term>Female</term>
<term>Global Health</term>
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<term>Incidence</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Risk Factors</term>
<term>Sex Distribution</term>
<term>Sex Factors</term>
<term>Time Factors</term>
<term>Weight Gain</term>
</keywords>
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<term>Adulte d'âge moyen</term>
<term>Facteurs de l'âge</term>
<term>Facteurs de risque</term>
<term>Facteurs sexuels</term>
<term>Facteurs temps</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Indice de masse corporelle</term>
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<term>Répartition par sexe</term>
<term>Répartition par âge</term>
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<front><div type="abstract" xml:lang="en">High body-mass index (BMI; defined as 25 kg/m(2) or greater) is associated with increased risk of cancer. To inform public health policy and future research, we estimated the global burden of cancer attributable to high BMI in 2012.</div>
</front>
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<Day>01</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>09</Month>
<Day>22</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1474-5488</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>16</Volume>
<Issue>1</Issue>
<PubDate><Year>2015</Year>
<Month>Jan</Month>
</PubDate>
</JournalIssue>
<Title>The Lancet. Oncology</Title>
<ISOAbbreviation>Lancet Oncol.</ISOAbbreviation>
</Journal>
<ArticleTitle>Global burden of cancer attributable to high body-mass index in 2012: a population-based study.</ArticleTitle>
<Pagination><MedlinePgn>36-46</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/S1470-2045(14)71123-4</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">High body-mass index (BMI; defined as 25 kg/m(2) or greater) is associated with increased risk of cancer. To inform public health policy and future research, we estimated the global burden of cancer attributable to high BMI in 2012.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">In this population-based study, we derived population attributable fractions (PAFs) using relative risks and BMI estimates in adults by age, sex, and country. Assuming a 10-year lag-period between high BMI and cancer occurrence, we calculated PAFs using BMI estimates from 2002 and used GLOBOCAN2012 data to estimate numbers of new cancer cases attributable to high BMI. We also calculated the proportion of cancers that were potentially avoidable had populations maintained their mean BMIs recorded in 1982. We did secondary analyses to test the model and to estimate the effects of hormone replacement therapy (HRT) use and smoking.</AbstractText>
<AbstractText Label="FINDINGS" NlmCategory="RESULTS">Worldwide, we estimate that 481,000 or 3.6% of all new cancer cases in adults (aged 30 years and older after the 10-year lag period) in 2012 were attributable to high BMI. PAFs were greater in women than in men (5.4% vs 1.9%). The burden of attributable cases was higher in countries with very high and high human development indices (HDIs; PAF 5.3% and 4.8%, respectively) than in those with moderate (1.6%) and low HDIs (1.0%). Corpus uteri, postmenopausal breast, and colon cancers accounted for 63.6% of cancers attributable to high BMI. A quarter (about 118,000) of the cancer cases related to high BMI in 2012 could be attributed to the increase in BMI since 1982.</AbstractText>
<AbstractText Label="INTERPRETATION" NlmCategory="CONCLUSIONS">These findings emphasise the need for a global effort to abate the increasing numbers of people with high BMI. Assuming that the association between high BMI and cancer is causal, the continuation of current patterns of population weight gain will lead to continuing increases in the future burden of cancer.</AbstractText>
<AbstractText Label="FUNDING" NlmCategory="BACKGROUND">World Cancer Research Fund International, European Commission (Marie Curie Intra-European Fellowship), Australian National Health and Medical Research Council, and US National Institutes of Health.</AbstractText>
<CopyrightInformation>Copyright © 2015 World Health Organization. Published by Elsevier Ltd/Inc/BV. All rights reserved. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Arnold</LastName>
<ForeName>Melina</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Pandeya</LastName>
<ForeName>Nirmala</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>School of Population Health, The University of Queensland, Brisbane, Queensland, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Byrnes</LastName>
<ForeName>Graham</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Biostatistics Group, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Renehan</LastName>
<ForeName>Prof Andrew G</ForeName>
<Initials>PAG</Initials>
<AffiliationInfo><Affiliation>Faculty Institute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Stevens</LastName>
<ForeName>Gretchen A</ForeName>
<Initials>GA</Initials>
<AffiliationInfo><Affiliation>Department of Health Statistics and Information Systems, World Health Organization, Geneva, Switzerland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ezzati</LastName>
<ForeName>Prof Majid</ForeName>
<Initials>PM</Initials>
<AffiliationInfo><Affiliation>MRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ferlay</LastName>
<ForeName>Jacques</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Miranda</LastName>
<ForeName>J Jaime</ForeName>
<Initials>JJ</Initials>
<AffiliationInfo><Affiliation>CRONICAS Centre of Excellence in Chronic Diseases, and School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Romieu</LastName>
<ForeName>Isabelle</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Nutrition and Metabolism Section/Epidemiology Group, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dikshit</LastName>
<ForeName>Rajesh</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Epidemiology, Tata Memorial Hospital, Mumbai, Maharashtra, India.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Forman</LastName>
<ForeName>David</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Soerjomataram</LastName>
<ForeName>Isabelle</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>MR/K006665/1</GrantID>
<Agency>Medical Research Council</Agency>
<Country>United Kingdom</Country>
</Grant>
<Grant><GrantID>MC_PC_13042</GrantID>
<Agency>Medical Research Council</Agency>
<Country>United Kingdom</Country>
</Grant>
<Grant><GrantID>HHSN268200900033C</GrantID>
<Acronym>HL</Acronym>
<Agency>NHLBI NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>100693</GrantID>
<Agency>Wellcome Trust</Agency>
<Country>United Kingdom</Country>
</Grant>
<Grant><GrantID>HHSN268200900033C</GrantID>
<Agency>PHS HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>001</GrantID>
<Agency>World Health Organization</Agency>
<Country>International</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2014</Year>
<Month>11</Month>
<Day>26</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Lancet Oncol</MedlineTA>
<NlmUniqueID>100957246</NlmUniqueID>
<ISSNLinking>1470-2045</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015992" MajorTopicYN="Y">Body Mass Index</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003906" MajorTopicYN="N">Developing Countries</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015914" MajorTopicYN="N">Estrogen Replacement Therapy</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014943" MajorTopicYN="N">Global Health</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009369" MajorTopicYN="N">Neoplasms</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012907" MajorTopicYN="N">Smoking</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015430" MajorTopicYN="N">Weight Gain</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<OtherID Source="NLM">NIHMS653244</OtherID>
<OtherID Source="NLM">PMC4314462</OtherID>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year>
<Month>12</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2014</Year>
<Month>12</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2015</Year>
<Month>4</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">25467404</ArticleId>
<ArticleId IdType="doi">10.1016/S1470-2045(14)71123-4</ArticleId>
<ArticleId IdType="pmc">PMC4314462</ArticleId>
<ArticleId IdType="mid">NIHMS653244</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Australie</li>
<li>France</li>
<li>Inde</li>
<li>Pérou</li>
<li>Royaume-Uni</li>
<li>Suisse</li>
</country>
<region><li>Angleterre</li>
<li>Auvergne-Rhône-Alpes</li>
<li>Grand Londres</li>
<li>Grand Manchester</li>
<li>Rhône-Alpes</li>
</region>
<settlement><li>Londres</li>
<li>Lyon</li>
<li>Manchester</li>
</settlement>
<orgName><li>Université de Manchester</li>
</orgName>
</list>
<tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Arnold, Melina" sort="Arnold, Melina" uniqKey="Arnold M" first="Melina" last="Arnold">Melina Arnold</name>
</region>
<name sortKey="Byrnes, Graham" sort="Byrnes, Graham" uniqKey="Byrnes G" first="Graham" last="Byrnes">Graham Byrnes</name>
<name sortKey="Ferlay, Jacques" sort="Ferlay, Jacques" uniqKey="Ferlay J" first="Jacques" last="Ferlay">Jacques Ferlay</name>
<name sortKey="Forman, David" sort="Forman, David" uniqKey="Forman D" first="David" last="Forman">David Forman</name>
<name sortKey="Romieu, Isabelle" sort="Romieu, Isabelle" uniqKey="Romieu I" first="Isabelle" last="Romieu">Isabelle Romieu</name>
<name sortKey="Soerjomataram, Isabelle" sort="Soerjomataram, Isabelle" uniqKey="Soerjomataram I" first="Isabelle" last="Soerjomataram">Isabelle Soerjomataram</name>
</country>
<country name="Australie"><noRegion><name sortKey="Pandeya, Nirmala" sort="Pandeya, Nirmala" uniqKey="Pandeya N" first="Nirmala" last="Pandeya">Nirmala Pandeya</name>
</noRegion>
</country>
<country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Renehan, Prof Andrew G" sort="Renehan, Prof Andrew G" uniqKey="Renehan P" first="Prof Andrew G" last="Renehan">Prof Andrew G. Renehan</name>
</region>
<name sortKey="Ezzati, Prof Majid" sort="Ezzati, Prof Majid" uniqKey="Ezzati P" first="Prof Majid" last="Ezzati">Prof Majid Ezzati</name>
</country>
<country name="Suisse"><noRegion><name sortKey="Stevens, Gretchen A" sort="Stevens, Gretchen A" uniqKey="Stevens G" first="Gretchen A" last="Stevens">Gretchen A. Stevens</name>
</noRegion>
</country>
<country name="Pérou"><noRegion><name sortKey="Miranda, J Jaime" sort="Miranda, J Jaime" uniqKey="Miranda J" first="J Jaime" last="Miranda">J Jaime Miranda</name>
</noRegion>
</country>
<country name="Inde"><noRegion><name sortKey="Dikshit, Rajesh" sort="Dikshit, Rajesh" uniqKey="Dikshit R" first="Rajesh" last="Dikshit">Rajesh Dikshit</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    PubMed
   |étape=   Checkpoint
   |type=    RBID
   |clé=     pubmed:25467404
   |texte=   Global burden of cancer attributable to high body-mass index in 2012: a population-based study.
}}

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HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i   -Sk "pubmed:25467404" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd   \
       | NlmPubMed2Wicri -a AustralieFrV1

This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

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

Global burden of cancer attributable to high body-mass index in 2012: a population-based study.

Global burden of cancer attributable to high body-mass index in 2012: a population-based study.

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