Type 2 diabetes mellitus among beneficiaries of the french national health insurance for self-employed workers (AMPI): comparison of the management of craftsmen or tradesmen with professionals patients.
Identifieur interne : 000486 ( Main/Exploration ); précédent : 000485; suivant : 000487Type 2 diabetes mellitus among beneficiaries of the french national health insurance for self-employed workers (AMPI): comparison of the management of craftsmen or tradesmen with professionals patients.
Auteurs : G-R Auleley [France] ; M N Dematons ; P. Berchery ; F. Raynal-Minville ; F. Suarez ; B. Heuls-Bernin ; C. Blum-BoisgardSource :
- Diabetes & metabolism [ 1262-3636 ] ; 2002.
Descripteurs français
- KwdFr :
- Bases de données factuelles (MeSH), Diabète de type 2 (thérapie), Diabète de type 2 (économie), Diabète de type 2 (épidémiologie), Emploi (classification), Emploi (statistiques et données numériques), Femelle (MeSH), France (épidémiologie), Glycémie (métabolisme), Humains (MeSH), Hémoglobine A glycosylée (analyse), Incidence (MeSH), Mâle (MeSH), Mécanismes de remboursement (MeSH), Médecine (classification), Médecine de famille (MeSH), Néphropathies diabétiques (thérapie), Néphropathies diabétiques (épidémiologie), Professions (MeSH), Programmes nationaux de santé (statistiques et données numériques), Spécialisation (MeSH), Sujet âgé (MeSH), Études rétrospectives (MeSH).
- MESH :
- analyse : Hémoglobine A glycosylée.
- métabolisme : Emploi, Glycémie, Médecine.
- statistiques et données numériques : Emploi, Programmes nationaux de santé.
- thérapie : Diabète de type 2, Néphropathies diabétiques.
- économie : Diabète de type 2.
- épidémiologie : Diabète de type 2, France, Néphropathies diabétiques.
- Bases de données factuelles, Femelle, Humains, Incidence, Mâle, Mécanismes de remboursement, Médecine de famille, Professions, Spécialisation, Sujet âgé, Études rétrospectives.
English descriptors
- KwdEn :
- Aged (MeSH), Blood Glucose (metabolism), Databases, Factual (MeSH), Diabetes Mellitus, Type 2 (economics), Diabetes Mellitus, Type 2 (epidemiology), Diabetes Mellitus, Type 2 (therapy), Diabetic Nephropathies (epidemiology), Diabetic Nephropathies (therapy), Employment (classification), Employment (statistics & numerical data), Family Practice (MeSH), Female (MeSH), France (epidemiology), Glycated Hemoglobin A (analysis), Humans (MeSH), Incidence (MeSH), Male (MeSH), Medicine (classification), National Health Programs (statistics & numerical data), Occupations (MeSH), Reimbursement Mechanisms (MeSH), Retrospective Studies (MeSH), Specialization (MeSH).
- MESH :
- chemical , analysis : Glycated Hemoglobin A.
- chemical , metabolism : Blood Glucose.
- classification : Employment, Medicine.
- economics : Diabetes Mellitus, Type 2.
- epidemiology : Diabetes Mellitus, Type 2, Diabetic Nephropathies, France.
- statistics & numerical data : Employment, National Health Programs.
- therapy : Diabetes Mellitus, Type 2, Diabetic Nephropathies.
- Aged, Databases, Factual, Family Practice, Female, Humans, Incidence, Male, Occupations, Reimbursement Mechanisms, Retrospective Studies, Specialization.
Abstract
BACKGROUND
Although the management of diabetes mellitus varies according to non medical factors, the influence of socioprofessional category has been not fully studied. This study compared the management of type 2 diabetes mellitus in craftsmen or tradesmen with professionals categories.
METHODS
All claims to the French National Sickness Insurance Fund for self-employed workers (AMPI) from its mainland France beneficiaries in 1998 were retrospectively analysed. Patients were beneficiaries, insured or dependants of craftsmen or tradesmen, or professionals receiving oral hypoglycemic drugs during a 3-month inclusion period. Patients were compared on the proportion of care received in private practice over the preceding 12 months using adjusted odds ratio (OR).
RESULTS
Compared to patients in professionals (n=1,456), patients in craftsmen or tradesmen (n=35,703) were statistically more likely to see a general practitioner (OR 3.867, 95% CI=3.048; 4.907), to have blood glucose test (OR 1.530, 95% CI=1.332; 1.757) and serum creatinine assay (OR 1.207, 95% CI=1.052; 1.270). They were statistically less likely to consult or have a specialist procedure (ophthalmologist, OR 0.792, 95% CI=0.698; 0.900; cardiologist, OR 0.749, 95% CI=0.658; 0.852; dentist, OR 0.679, 95% CI=0.596; 0.773; endocrinologist, OR 0.522, 95% CI=0.424; 0.642), microalbuminuria test (OR 0.749, 95% CI=0.622; 0.902) and serum creatinine assay or microalbuminuria test (OR 0.746, 95% CI=0.611; 0.912). The two groups did not differ on HbA1c, blood lipid tests and electrocardiogram.
CONCLUSIONS
The management of type 2 diabetes mellitus differed between craftsmen or tradesmen and professionals patients. These results should be confirmed.
PubMed: 12522330
Affiliations:
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Le document en format XML
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Berchery</name></author><author><name sortKey="Raynal Minville, F" sort="Raynal Minville, F" uniqKey="Raynal Minville F" first="F" last="Raynal-Minville">F. Raynal-Minville</name></author><author><name sortKey="Suarez, F" sort="Suarez, F" uniqKey="Suarez F" first="F" last="Suarez">F. Suarez</name></author><author><name sortKey="Heuls Bernin, B" sort="Heuls Bernin, B" uniqKey="Heuls Bernin B" first="B" last="Heuls-Bernin">B. Heuls-Bernin</name></author><author><name sortKey="Blum Boisgard, C" sort="Blum Boisgard, C" uniqKey="Blum Boisgard C" first="C" last="Blum-Boisgard">C. Blum-Boisgard</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2002">2002</date><idno type="RBID">pubmed:12522330</idno><idno type="pmid">12522330</idno><idno type="wicri:Area/Main/Corpus">000483</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000483</idno><idno type="wicri:Area/Main/Curation">000483</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000483</idno><idno type="wicri:Area/Main/Exploration">000483</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Type 2 diabetes mellitus among beneficiaries of the french national health insurance for self-employed workers (AMPI): comparison of the management of craftsmen or tradesmen with professionals patients.</title><author><name sortKey="Auleley, G R" sort="Auleley, G R" uniqKey="Auleley G" first="G-R" last="Auleley">G-R Auleley</name><affiliation wicri:level="3"><nlm:affiliation>Service Médical National, Caisse Nationale d'Assurance Maladie (CANAM), Régime AMPI, Centre Paris-Pleyel, Saint-Denis, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Service Médical National, Caisse Nationale d'Assurance Maladie (CANAM), Régime AMPI, Centre Paris-Pleyel, Saint-Denis</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Saint-Denis (Seine-Saint-Denis)</settlement></placeName></affiliation></author><author><name sortKey="Dematons, M N" sort="Dematons, M N" uniqKey="Dematons M" first="M N" last="Dematons">M N Dematons</name></author><author><name sortKey="Berchery, P" sort="Berchery, P" uniqKey="Berchery P" first="P" last="Berchery">P. Berchery</name></author><author><name sortKey="Raynal Minville, F" sort="Raynal Minville, F" uniqKey="Raynal Minville F" first="F" last="Raynal-Minville">F. Raynal-Minville</name></author><author><name sortKey="Suarez, F" sort="Suarez, F" uniqKey="Suarez F" first="F" last="Suarez">F. Suarez</name></author><author><name sortKey="Heuls Bernin, B" sort="Heuls Bernin, B" uniqKey="Heuls Bernin B" first="B" last="Heuls-Bernin">B. Heuls-Bernin</name></author><author><name sortKey="Blum Boisgard, C" sort="Blum Boisgard, C" uniqKey="Blum Boisgard C" first="C" last="Blum-Boisgard">C. Blum-Boisgard</name></author></analytic><series><title level="j">Diabetes & metabolism</title><idno type="ISSN">1262-3636</idno><imprint><date when="2002" type="published">2002</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Blood Glucose (metabolism)</term><term>Databases, Factual (MeSH)</term><term>Diabetes Mellitus, Type 2 (economics)</term><term>Diabetes Mellitus, Type 2 (epidemiology)</term><term>Diabetes Mellitus, Type 2 (therapy)</term><term>Diabetic Nephropathies (epidemiology)</term><term>Diabetic Nephropathies (therapy)</term><term>Employment (classification)</term><term>Employment (statistics & numerical data)</term><term>Family Practice (MeSH)</term><term>Female (MeSH)</term><term>France (epidemiology)</term><term>Glycated Hemoglobin A (analysis)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Male (MeSH)</term><term>Medicine (classification)</term><term>National Health Programs (statistics & numerical data)</term><term>Occupations (MeSH)</term><term>Reimbursement Mechanisms (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Specialization (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Bases de données factuelles (MeSH)</term><term>Diabète de type 2 (thérapie)</term><term>Diabète de type 2 (économie)</term><term>Diabète de type 2 (épidémiologie)</term><term>Emploi (classification)</term><term>Emploi (statistiques et données numériques)</term><term>Femelle (MeSH)</term><term>France (épidémiologie)</term><term>Glycémie (métabolisme)</term><term>Humains (MeSH)</term><term>Hémoglobine A glycosylée (analyse)</term><term>Incidence (MeSH)</term><term>Mâle (MeSH)</term><term>Mécanismes de remboursement (MeSH)</term><term>Médecine (classification)</term><term>Médecine de famille (MeSH)</term><term>Néphropathies diabétiques (thérapie)</term><term>Néphropathies diabétiques (épidémiologie)</term><term>Professions (MeSH)</term><term>Programmes nationaux de santé (statistiques et données numériques)</term><term>Spécialisation (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Études rétrospectives (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Glycated Hemoglobin A</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Blood Glucose</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Hémoglobine A glycosylée</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Employment</term><term>Medicine</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Diabetes Mellitus, Type 2</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Diabetes Mellitus, Type 2</term><term>Diabetic Nephropathies</term><term>France</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Emploi</term><term>Glycémie</term><term>Médecine</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Employment</term><term>National Health Programs</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Emploi</term><term>Programmes nationaux de santé</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Diabetes Mellitus, Type 2</term><term>Diabetic Nephropathies</term></keywords><keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Diabète de type 2</term><term>Néphropathies diabétiques</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Diabète de type 2</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Diabète de type 2</term><term>France</term><term>Néphropathies diabétiques</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Databases, Factual</term><term>Family Practice</term><term>Female</term><term>Humans</term><term>Incidence</term><term>Male</term><term>Occupations</term><term>Reimbursement Mechanisms</term><term>Retrospective Studies</term><term>Specialization</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Bases de données factuelles</term><term>Femelle</term><term>Humains</term><term>Incidence</term><term>Mâle</term><term>Mécanismes de remboursement</term><term>Médecine de famille</term><term>Professions</term><term>Spécialisation</term><term>Sujet âgé</term><term>Études rétrospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Although the management of diabetes mellitus varies according to non medical factors, the influence of socioprofessional category has been not fully studied. This study compared the management of type 2 diabetes mellitus in craftsmen or tradesmen with professionals categories.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>All claims to the French National Sickness Insurance Fund for self-employed workers (AMPI) from its mainland France beneficiaries in 1998 were retrospectively analysed. Patients were beneficiaries, insured or dependants of craftsmen or tradesmen, or professionals receiving oral hypoglycemic drugs during a 3-month inclusion period. Patients were compared on the proportion of care received in private practice over the preceding 12 months using adjusted odds ratio (OR).</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Compared to patients in professionals (n=1,456), patients in craftsmen or tradesmen (n=35,703) were statistically more likely to see a general practitioner (OR 3.867, 95% CI=3.048; 4.907), to have blood glucose test (OR 1.530, 95% CI=1.332; 1.757) and serum creatinine assay (OR 1.207, 95% CI=1.052; 1.270). They were statistically less likely to consult or have a specialist procedure (ophthalmologist, OR 0.792, 95% CI=0.698; 0.900; cardiologist, OR 0.749, 95% CI=0.658; 0.852; dentist, OR 0.679, 95% CI=0.596; 0.773; endocrinologist, OR 0.522, 95% CI=0.424; 0.642), microalbuminuria test (OR 0.749, 95% CI=0.622; 0.902) and serum creatinine assay or microalbuminuria test (OR 0.746, 95% CI=0.611; 0.912). The two groups did not differ on HbA1c, blood lipid tests and electrocardiogram.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The management of type 2 diabetes mellitus differed between craftsmen or tradesmen and professionals patients. These results should be confirmed.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">12522330</PMID><DateCompleted><Year>2003</Year><Month>03</Month><Day>31</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1262-3636</ISSN><JournalIssue CitedMedium="Print"><Volume>28</Volume><Issue>6 Pt 1</Issue><PubDate><Year>2002</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Diabetes & metabolism</Title><ISOAbbreviation>Diabetes Metab</ISOAbbreviation></Journal><ArticleTitle>Type 2 diabetes mellitus among beneficiaries of the french national health insurance for self-employed workers (AMPI): comparison of the management of craftsmen or tradesmen with professionals patients.</ArticleTitle><Pagination><MedlinePgn>491-8</MedlinePgn></Pagination><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Although the management of diabetes mellitus varies according to non medical factors, the influence of socioprofessional category has been not fully studied. This study compared the management of type 2 diabetes mellitus in craftsmen or tradesmen with professionals categories.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">All claims to the French National Sickness Insurance Fund for self-employed workers (AMPI) from its mainland France beneficiaries in 1998 were retrospectively analysed. Patients were beneficiaries, insured or dependants of craftsmen or tradesmen, or professionals receiving oral hypoglycemic drugs during a 3-month inclusion period. Patients were compared on the proportion of care received in private practice over the preceding 12 months using adjusted odds ratio (OR).</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Compared to patients in professionals (n=1,456), patients in craftsmen or tradesmen (n=35,703) were statistically more likely to see a general practitioner (OR 3.867, 95% CI=3.048; 4.907), to have blood glucose test (OR 1.530, 95% CI=1.332; 1.757) and serum creatinine assay (OR 1.207, 95% CI=1.052; 1.270). They were statistically less likely to consult or have a specialist procedure (ophthalmologist, OR 0.792, 95% CI=0.698; 0.900; cardiologist, OR 0.749, 95% CI=0.658; 0.852; dentist, OR 0.679, 95% CI=0.596; 0.773; endocrinologist, OR 0.522, 95% CI=0.424; 0.642), microalbuminuria test (OR 0.749, 95% CI=0.622; 0.902) and serum creatinine assay or microalbuminuria test (OR 0.746, 95% CI=0.611; 0.912). The two groups did not differ on HbA1c, blood lipid tests and electrocardiogram.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The management of type 2 diabetes mellitus differed between craftsmen or tradesmen and professionals patients. These results should be confirmed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Auleley</LastName><ForeName>G-R</ForeName><Initials>GR</Initials><AffiliationInfo><Affiliation>Service Médical National, Caisse Nationale d'Assurance Maladie (CANAM), Régime AMPI, Centre Paris-Pleyel, Saint-Denis, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dematons</LastName><ForeName>M N</ForeName><Initials>MN</Initials></Author><Author ValidYN="Y"><LastName>Berchery</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Raynal-Minville</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Suarez</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Heuls-Bernin</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Blum-Boisgard</LastName><ForeName>C</ForeName><Initials>C</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Diabetes Metab</MedlineTA><NlmUniqueID>9607599</NlmUniqueID><ISSNLinking>1262-3636</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D001786">Blood Glucose</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D006442">Glycated Hemoglobin A</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001786" MajorTopicYN="N">Blood Glucose</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003924" MajorTopicYN="N">Diabetes Mellitus, Type 2</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003928" MajorTopicYN="N">Diabetic Nephropathies</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004651" MajorTopicYN="N">Employment</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="Y">classification</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005194" MajorTopicYN="N">Family Practice</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N">France</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006442" MajorTopicYN="N">Glycated Hemoglobin A</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></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="D008511" MajorTopicYN="N">Medicine</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009313" MajorTopicYN="N">National Health Programs</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009790" MajorTopicYN="Y">Occupations</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012051" MajorTopicYN="N">Reimbursement Mechanisms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013038" MajorTopicYN="N">Specialization</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2003</Year><Month>1</Month><Day>11</Day><Hour>4</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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Berchery</name><name sortKey="Blum Boisgard, C" sort="Blum Boisgard, C" uniqKey="Blum Boisgard C" first="C" last="Blum-Boisgard">C. Blum-Boisgard</name><name sortKey="Dematons, M N" sort="Dematons, M N" uniqKey="Dematons M" first="M N" last="Dematons">M N Dematons</name><name sortKey="Heuls Bernin, B" sort="Heuls Bernin, B" uniqKey="Heuls Bernin B" first="B" last="Heuls-Bernin">B. Heuls-Bernin</name><name sortKey="Raynal Minville, F" sort="Raynal Minville, F" uniqKey="Raynal Minville F" first="F" last="Raynal-Minville">F. Raynal-Minville</name><name sortKey="Suarez, F" sort="Suarez, F" uniqKey="Suarez F" first="F" last="Suarez">F. Suarez</name></noCountry><country name="France"><region name="Île-de-France"><name sortKey="Auleley, G R" sort="Auleley, G R" uniqKey="Auleley G" first="G-R" last="Auleley">G-R Auleley</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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