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International Network of Chronic Kidney Disease cohort studies (iNET-CKD): a global network of chronic kidney disease cohorts

Identifieur interne : 001C49 ( Main/Exploration ); précédent : 001C48; suivant : 001C50

International Network of Chronic Kidney Disease cohort studies (iNET-CKD): a global network of chronic kidney disease cohorts

Auteurs : Thomas Dienemann [Allemagne] ; Naohiko Fujii [États-Unis] ; Paula Orlandi [États-Unis] ; Lisa Nessel [États-Unis] ; Susan L. Furth [États-Unis] ; Wendy E. Hoy ; Seiichi Matsuo [Japon] ; Gert Mayer [Autriche] ; Shona Methven [Royaume-Uni] ; Franz Schaefer [Allemagne] ; Elke S. Schaeffner [Allemagne] ; Laura Solá [Uruguay] ; Bénédicte Stengel [France] ; Christoph Wanner [Allemagne] ; Luxia Zhang [République populaire de Chine] ; Adeera Levin ; Kai-Uwe Eckardt [Allemagne] ; Harold I. Feldman [États-Unis]

Source :

RBID : PMC:5010740

Abstract

Background

Chronic kidney disease (CKD) is a global health burden, yet it is still underrepresented within public health agendas in many countries. Studies focusing on the natural history of CKD are challenging to design and conduct, because of the long time-course of disease progression, a wide variation in etiologies, and a large amount of clinical variability among individuals with CKD. With the difference in health-related behaviors, healthcare delivery, genetics, and environmental exposures, this variability is greater across countries than within one locale and may not be captured effectively in a single study.

Methods

Studies were invited to join the network. Prerequisites for membership included: 1) observational designs with a priori hypotheses and defined study objectives, patient-level information, prospective data acquisition and collection of bio-samples, all focused on predialysis CKD patients; 2) target sample sizes of 1,000 patients for adult cohorts and 300 for pediatric cohorts; and 3) minimum follow-up of three years. Participating studies were surveyed regarding design, data, and biosample resources.

Results

Twelve prospective cohort studies and two registries covering 21 countries were included. Participants age ranges from >2 to >70 years at inclusion, CKD severity ranges from stage 2 to stage 5. Patient data and biosamples (not available in the registry studies) are measured yearly or biennially. Many studies included multiple ethnicities; cohort size ranges from 400 to more than 13,000 participants. Studies’ areas of emphasis all include but are not limited to renal outcomes, such as progression to ESRD and death.

Conclusions

iNET-CKD (International Network of CKD cohort studies) was established, to promote collaborative research, foster exchange of expertise, and create opportunities for research training. Participating studies have many commonalities that will facilitate comparative research; however, we also observed substantial differences. The diversity we observed across studies within this network will be able to be leveraged to identify genetic, behavioral, and health services factors associated with the course of CKD. With an emerging infrastructure to facilitate interactions among the investigators of iNET-CKD and a broadly defined research agenda, we are confident that there will be great opportunity for productive collaborative investigations involving cohorts of individuals with CKD.

Electronic supplementary material

The online version of this article (doi:10.1186/s12882-016-0335-2) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1186/s12882-016-0335-2
PubMed: 27590182
PubMed Central: 5010740


Affiliations:


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<author>
<name sortKey="Sola, Laura" sort="Sola, Laura" uniqKey="Sola L" first="Laura" last="Solá">Laura Solá</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff10">Directora Division Epidemiologia, DIGESA-Ministerio Salud Publica, Montevideo, Uruguay</nlm:aff>
<country xml:lang="fr">Uruguay</country>
<wicri:regionArea>Directora Division Epidemiologia, DIGESA-Ministerio Salud Publica, Montevideo</wicri:regionArea>
<wicri:noRegion>Montevideo</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Stengel, Benedicte" sort="Stengel, Benedicte" uniqKey="Stengel B" first="Bénédicte" last="Stengel">Bénédicte Stengel</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff11">Université Paris-Saclay, Univ Paris-Sud, UVSQ, CESP, Centre for Research in Epidemiology and Population Health, Inserm, F-CRIN-INI-CRCT, Villejuif, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Université Paris-Saclay, Univ Paris-Sud, UVSQ, CESP, Centre for Research in Epidemiology and Population Health, Inserm, F-CRIN-INI-CRCT, Villejuif</wicri:regionArea>
<wicri:noRegion>Villejuif</wicri:noRegion>
<wicri:noRegion>Villejuif</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wanner, Christoph" sort="Wanner, Christoph" uniqKey="Wanner C" first="Christoph" last="Wanner">Christoph Wanner</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff12">Department of Internal Medicine I, Division of Nephrology, University of Würzburg, Würzburg, Germany</nlm:aff>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Internal Medicine I, Division of Nephrology, University of Würzburg, Würzburg</wicri:regionArea>
<placeName>
<region type="land" nuts="1">Bavière</region>
<region type="district" nuts="2">District de Basse-Franconie</region>
<settlement type="city">Wurtzbourg</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Zhang, Luxia" sort="Zhang, Luxia" uniqKey="Zhang L" first="Luxia" last="Zhang">Luxia Zhang</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff13">Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
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</author>
<author>
<name sortKey="Levin, Adeera" sort="Levin, Adeera" uniqKey="Levin A" first="Adeera" last="Levin">Adeera Levin</name>
<affiliation>
<nlm:aff id="Aff14">Division of Nephrology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada</nlm:aff>
<wicri:noCountry code="subfield">BC Canada</wicri:noCountry>
</affiliation>
</author>
<author>
<name sortKey="Eckardt, Kai Uwe" sort="Eckardt, Kai Uwe" uniqKey="Eckardt K" first="Kai-Uwe" last="Eckardt">Kai-Uwe Eckardt</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff1">Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany</nlm:aff>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen</wicri:regionArea>
<placeName>
<settlement type="city">Erlangen</settlement>
<region type="land" nuts="1">Bavière</region>
<region type="district" nuts="2">District de Moyenne-Franconie</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Feldman, Harold I" sort="Feldman, Harold I" uniqKey="Feldman H" first="Harold I." last="Feldman">Harold I. Feldman</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff2">Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:regionArea>
<placeName>
<settlement type="city">Philadelphie</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="Aff15">Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia</wicri:regionArea>
<placeName>
<settlement type="city">Philadelphie</settlement>
<region type="state">Pennsylvanie</region>
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</author>
</analytic>
<series>
<title level="j">BMC Nephrology</title>
<idno type="eISSN">1471-2369</idno>
<imprint>
<date when="2016">2016</date>
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</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>Chronic kidney disease (CKD) is a global health burden, yet it is still underrepresented within public health agendas in many countries. Studies focusing on the natural history of CKD are challenging to design and conduct, because of the long time-course of disease progression, a wide variation in etiologies, and a large amount of clinical variability among individuals with CKD. With the difference in health-related behaviors, healthcare delivery, genetics, and environmental exposures, this variability is greater across countries than within one locale and may not be captured effectively in a single study.</p>
</sec>
<sec>
<title>Methods</title>
<p>Studies were invited to join the network. Prerequisites for membership included: 1) observational designs with
<italic>a priori</italic>
hypotheses and defined study objectives, patient-level information, prospective data acquisition and collection of bio-samples, all focused on predialysis CKD patients; 2) target sample sizes of 1,000 patients for adult cohorts and 300 for pediatric cohorts; and 3) minimum follow-up of three years. Participating studies were surveyed regarding design, data, and biosample resources.</p>
</sec>
<sec>
<title>Results</title>
<p>Twelve prospective cohort studies and two registries covering 21 countries were included. Participants age ranges from >2 to >70 years at inclusion, CKD severity ranges from stage 2 to stage 5. Patient data and biosamples (not available in the registry studies) are measured yearly or biennially. Many studies included multiple ethnicities; cohort size ranges from 400 to more than 13,000 participants. Studies’ areas of emphasis all include but are not limited to renal outcomes, such as progression to ESRD and death.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>iNET-CKD (International Network of CKD cohort studies) was established, to promote collaborative research, foster exchange of expertise, and create opportunities for research training. Participating studies have many commonalities that will facilitate comparative research; however, we also observed substantial differences. The diversity we observed across studies within this network will be able to be leveraged to identify genetic, behavioral, and health services factors associated with the course of CKD. With an emerging infrastructure to facilitate interactions among the investigators of iNET-CKD and a broadly defined research agenda, we are confident that there will be great opportunity for productive collaborative investigations involving cohorts of individuals with CKD.</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12882-016-0335-2) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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<name sortKey="Iimuro, S" uniqKey="Iimuro S">S Iimuro</name>
</author>
<author>
<name sortKey="Ohashi, Y" uniqKey="Ohashi Y">Y Ohashi</name>
</author>
<author>
<name sortKey="Hishida, A" uniqKey="Hishida A">A Hishida</name>
</author>
</analytic>
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<name sortKey="Imai, E" uniqKey="Imai E">E Imai</name>
</author>
<author>
<name sortKey="Matsuo, S" uniqKey="Matsuo S">S Matsuo</name>
</author>
<author>
<name sortKey="Makino, H" uniqKey="Makino H">H Makino</name>
</author>
<author>
<name sortKey="Watanabe, T" uniqKey="Watanabe T">T Watanabe</name>
</author>
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<name sortKey="Akizawa, T" uniqKey="Akizawa T">T Akizawa</name>
</author>
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</author>
<author>
<name sortKey="Iimuro, S" uniqKey="Iimuro S">S Iimuro</name>
</author>
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<name sortKey="Ohashi, Y" uniqKey="Ohashi Y">Y Ohashi</name>
</author>
<author>
<name sortKey="Hishida, A" uniqKey="Hishida A">A Hishida</name>
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</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Stengel, B" uniqKey="Stengel B">B Stengel</name>
</author>
<author>
<name sortKey="Combe, C" uniqKey="Combe C">C Combe</name>
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<name sortKey="Deleuze, Jf" uniqKey="Deleuze J">JF Deleuze</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Furth, Sl" uniqKey="Furth S">SL Furth</name>
</author>
<author>
<name sortKey="Abraham, Ag" uniqKey="Abraham A">AG Abraham</name>
</author>
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<name sortKey="Schwartz, Gj" uniqKey="Schwartz G">GJ Schwartz</name>
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<name sortKey="Wong, C" uniqKey="Wong C">C Wong</name>
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</author>
<author>
<name sortKey="Warady, Ba" uniqKey="Warady B">BA Warady</name>
</author>
</analytic>
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<analytic>
<author>
<name sortKey="Feldman, Hi" uniqKey="Feldman H">HI Feldman</name>
</author>
<author>
<name sortKey="Appel, Lj" uniqKey="Appel L">LJ Appel</name>
</author>
<author>
<name sortKey="Chertow, Gm" uniqKey="Chertow G">GM Chertow</name>
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<name sortKey="Cifelli, D" uniqKey="Cifelli D">D Cifelli</name>
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<name sortKey="Franklin Becker, Ed" uniqKey="Franklin Becker E">ED Franklin-Becker</name>
</author>
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<name sortKey="Go, As" uniqKey="Go A">AS Go</name>
</author>
<author>
<name sortKey="Hamm, Ll" uniqKey="Hamm L">LL Hamm</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lash, Jp" uniqKey="Lash J">JP Lash</name>
</author>
<author>
<name sortKey="Go, As" uniqKey="Go A">AS Go</name>
</author>
<author>
<name sortKey="Appel, Lj" uniqKey="Appel L">LJ Appel</name>
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<author>
<name sortKey="He, J" uniqKey="He J">J He</name>
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<name sortKey="Ojo, A" uniqKey="Ojo A">A Ojo</name>
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<name sortKey="Rahman, M" uniqKey="Rahman M">M Rahman</name>
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<name sortKey="Townsend, Rr" uniqKey="Townsend R">RR Townsend</name>
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</author>
<author>
<name sortKey="Cohan, J" uniqKey="Cohan J">J Cohan</name>
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</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gao, B" uniqKey="Gao B">B Gao</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
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</author>
<author>
<name sortKey="Zhao, M" uniqKey="Zhao M">M Zhao</name>
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</analytic>
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<author>
<name sortKey="Eckardt, Ku" uniqKey="Eckardt K">KU Eckardt</name>
</author>
<author>
<name sortKey="Barthlein, B" uniqKey="Barthlein B">B Barthlein</name>
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<name sortKey="Busch, M" uniqKey="Busch M">M Busch</name>
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<author>
<name sortKey="Eitner, F" uniqKey="Eitner F">F Eitner</name>
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<name sortKey="Ekici, Ab" uniqKey="Ekici A">AB Ekici</name>
</author>
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<name sortKey="Floege, J" uniqKey="Floege J">J Floege</name>
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</author>
<author>
<name sortKey="Haller, H" uniqKey="Haller H">H Haller</name>
</author>
</analytic>
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<analytic>
<author>
<name sortKey="Titze, S" uniqKey="Titze S">S Titze</name>
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<author>
<name sortKey="Schmid, M" uniqKey="Schmid M">M Schmid</name>
</author>
<author>
<name sortKey="Kottgen, A" uniqKey="Kottgen A">A Kottgen</name>
</author>
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<name sortKey="Busch, M" uniqKey="Busch M">M Busch</name>
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<name sortKey="Floege, J" uniqKey="Floege J">J Floege</name>
</author>
<author>
<name sortKey="Wanner, C" uniqKey="Wanner C">C Wanner</name>
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<author>
<name sortKey="Kronenberg, F" uniqKey="Kronenberg F">F Kronenberg</name>
</author>
<author>
<name sortKey="Eckardt, Ku" uniqKey="Eckardt K">KU Eckardt</name>
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</analytic>
</biblStruct>
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<analytic>
<author>
<name sortKey="Mazzuchi, N" uniqKey="Mazzuchi N">N Mazzuchi</name>
</author>
<author>
<name sortKey="Schwedt, E" uniqKey="Schwedt E">E Schwedt</name>
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<name sortKey="Ferreiro, A" uniqKey="Ferreiro A">A Ferreiro</name>
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</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Schwedt, E" uniqKey="Schwedt E">E Schwedt</name>
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<author>
<name sortKey="Sola, L" uniqKey="Sola L">L Sola</name>
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</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Querfeld, U" uniqKey="Querfeld U">U Querfeld</name>
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<name sortKey="Anarat, A" uniqKey="Anarat A">A Anarat</name>
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</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
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<list>
<country>
<li>Allemagne</li>
<li>Autriche</li>
<li>France</li>
<li>Japon</li>
<li>Royaume-Uni</li>
<li>République populaire de Chine</li>
<li>Uruguay</li>
<li>États-Unis</li>
</country>
<region>
<li>Bade-Wurtemberg</li>
<li>Bavière</li>
<li>Berlin</li>
<li>District de Basse-Franconie</li>
<li>District de Karlsruhe</li>
<li>District de Moyenne-Franconie</li>
<li>Pennsylvanie</li>
</region>
<settlement>
<li>Berlin</li>
<li>Erlangen</li>
<li>Heidelberg</li>
<li>Philadelphie</li>
<li>Pékin</li>
<li>Wurtzbourg</li>
</settlement>
</list>
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</noCountry>
<country name="Allemagne">
<region name="Bavière">
<name sortKey="Dienemann, Thomas" sort="Dienemann, Thomas" uniqKey="Dienemann T" first="Thomas" last="Dienemann">Thomas Dienemann</name>
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<name sortKey="Eckardt, Kai Uwe" sort="Eckardt, Kai Uwe" uniqKey="Eckardt K" first="Kai-Uwe" last="Eckardt">Kai-Uwe Eckardt</name>
<name sortKey="Schaefer, Franz" sort="Schaefer, Franz" uniqKey="Schaefer F" first="Franz" last="Schaefer">Franz Schaefer</name>
<name sortKey="Schaeffner, Elke S" sort="Schaeffner, Elke S" uniqKey="Schaeffner E" first="Elke S." last="Schaeffner">Elke S. Schaeffner</name>
<name sortKey="Wanner, Christoph" sort="Wanner, Christoph" uniqKey="Wanner C" first="Christoph" last="Wanner">Christoph Wanner</name>
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<region name="Pennsylvanie">
<name sortKey="Fujii, Naohiko" sort="Fujii, Naohiko" uniqKey="Fujii N" first="Naohiko" last="Fujii">Naohiko Fujii</name>
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<name sortKey="Feldman, Harold I" sort="Feldman, Harold I" uniqKey="Feldman H" first="Harold I." last="Feldman">Harold I. Feldman</name>
<name sortKey="Feldman, Harold I" sort="Feldman, Harold I" uniqKey="Feldman H" first="Harold I." last="Feldman">Harold I. Feldman</name>
<name sortKey="Furth, Susan L" sort="Furth, Susan L" uniqKey="Furth S" first="Susan L." last="Furth">Susan L. Furth</name>
<name sortKey="Nessel, Lisa" sort="Nessel, Lisa" uniqKey="Nessel L" first="Lisa" last="Nessel">Lisa Nessel</name>
<name sortKey="Orlandi, Paula" sort="Orlandi, Paula" uniqKey="Orlandi P" first="Paula" last="Orlandi">Paula Orlandi</name>
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<country name="Japon">
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<name sortKey="Matsuo, Seiichi" sort="Matsuo, Seiichi" uniqKey="Matsuo S" first="Seiichi" last="Matsuo">Seiichi Matsuo</name>
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<country name="Autriche">
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<name sortKey="Mayer, Gert" sort="Mayer, Gert" uniqKey="Mayer G" first="Gert" last="Mayer">Gert Mayer</name>
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</country>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Methven, Shona" sort="Methven, Shona" uniqKey="Methven S" first="Shona" last="Methven">Shona Methven</name>
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</country>
<country name="Uruguay">
<noRegion>
<name sortKey="Sola, Laura" sort="Sola, Laura" uniqKey="Sola L" first="Laura" last="Solá">Laura Solá</name>
</noRegion>
</country>
<country name="France">
<noRegion>
<name sortKey="Stengel, Benedicte" sort="Stengel, Benedicte" uniqKey="Stengel B" first="Bénédicte" last="Stengel">Bénédicte Stengel</name>
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</country>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Zhang, Luxia" sort="Zhang, Luxia" uniqKey="Zhang L" first="Luxia" last="Zhang">Luxia Zhang</name>
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</affiliations>
</record>

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