001     132816
005     20240229111723.0
024 7 _ |a 10.1007/s00103-018-2712-4
|2 doi
024 7 _ |a pmid:29487975
|2 pmid
024 7 _ |a 1436-9990
|2 ISSN
024 7 _ |a 1437-1588
|2 ISSN
037 _ _ |a DKFZ-2018-00460
041 _ _ |a ger
082 _ _ |a 610
100 1 _ |a Herrmann, Wolfram J
|b 0
245 _ _ |a [Assessing incident cardiovascular and metabolic diseases in epidemiological cohort studies in Germany].
260 _ _ |a Berlin
|c 2018
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1550485157_632
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Cardiovascular and metabolic diseases are a major cause of mortality and loss of quality of life in Germany. Research into risk factors of these diseases requires large population-based cohort studies. Complete and accurate assessment of the incidence of cardiovascular and metabolic diseases is a key element for valid interpretation of the results from such studies.Our aim was to identify population-based cohort studies with incidence of cardiovascular and metabolic diseases in Germany and to summarize their methods for assessment and classification of disease endpoints, including myocardial infarction, type 2 diabetes, stroke, heart failure, and arterial hypertension.Within the framework of a workshop, representatives of the ascertained population-based cohort studies in Germany with incidence of cardiovascular or metabolic diseases were invited to present and to systematically provide information on their methods of endpoint identification.We identified eight studies from different regions in Germany with a total of 100,571 participants, aged 18-83 years at baseline. Self-reporting by study participants is the major source for further inquiries to assess disease endpoints in these studies. Most studies use additional data sources to verify the incidence of diseases, such as documents provided by the treating physician or hospital.Our results highlight the central role of self-reporting and the efforts associated with identification and verification of disease endpoints in cohort studies. They also provide a basis for future population-based studies that aim for standardized assessment of the incidence of cardiovascular and metabolic diseases.
536 _ _ |a 323 - Metabolic Dysfunction as Risk Factor (POF3-323)
|0 G:(DE-HGF)POF3-323
|c POF3-323
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Weikert, Cornelia
|b 1
700 1 _ |a Bergmann, Manuela
|b 2
700 1 _ |a Boeing, Heiner
|b 3
700 1 _ |a Katzke, Verena
|0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
|b 4
|u dkfz
700 1 _ |a Kaaks, Rudolf
|0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
|b 5
|u dkfz
700 1 _ |a Tiller, Daniel
|b 6
700 1 _ |a Greiser, Karin Halina
|b 7
700 1 _ |a Heier, Margit
|b 8
700 1 _ |a Meisinger, Christa
|b 9
700 1 _ |a Schmidt, Carsten Oliver
|b 10
700 1 _ |a Neuhauser, Hannelore
|b 11
700 1 _ |a Heidemann, Christin
|b 12
700 1 _ |a Jünger, Claus
|b 13
700 1 _ |a Wild, Philipp S
|b 14
700 1 _ |a Schramm, Sara Helena
|b 15
700 1 _ |a Jöckel, Karl-Heinz
|b 16
700 1 _ |a Dörr, Marcus
|b 17
700 1 _ |a Pischon, Tobias
|b 18
773 _ _ |a 10.1007/s00103-018-2712-4
|g Vol. 61, no. 4, p. 420 - 431
|0 PERI:(DE-600)1470303-8
|n 4
|p 420 - 431
|t Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|v 61
|y 2018
|x 1437-1588
909 C O |p VDB
|o oai:inrepo02.dkfz.de:132816
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
913 1 _ |a DE-HGF
|l Herz-Kreislauf-Stoffwechselerkrankungen
|1 G:(DE-HGF)POF3-320
|0 G:(DE-HGF)POF3-323
|2 G:(DE-HGF)POF3-300
|v Metabolic Dysfunction as Risk Factor
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2018
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BUNDESGESUNDHEITSBLA : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l Epidemiologie von Krebserkrankungen
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21