001     168120
005     20240229133557.0
024 7 _ |a 10.1002/ijc.33553
|2 doi
024 7 _ |a pmid:33751564
|2 pmid
024 7 _ |a 0020-7136
|2 ISSN
024 7 _ |a 1097-0215
|2 ISSN
024 7 _ |a altmetric:103551825
|2 altmetric
037 _ _ |a DKFZ-2021-00688
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Finke, Isabelle
|0 P:(DE-He78)a79a61dd9934f6115f9383fd1dc21d76
|b 0
|e First author
|u dkfz
245 _ _ |a Small-area analysis on socioeconomic inequalities in cancer survival for 25 cancer sites in Germany.
260 _ _ |a Bognor Regis
|c 2021
|b Wiley-Liss
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 1637161221_27175
|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
500 _ _ |a #EA:C070#LA:C070# /149(3):561-572
520 _ _ |a Socioeconomic inequalities in cancer survival have been reported in various countries but it is uncertain to what extent they persist in countries with relatively comprehensive health insurance coverage such as Germany. We investigated the association between area-based socioeconomic deprivation on municipality level and cancer survival for 25 cancer sites in Germany. We used data from seven population-based cancer registries (covering 32 million inhabitants). Patients diagnosed in 1998-2014 with one of 25 most common cancer sites were included. Area-based socioeconomic deprivation was assessed using the categorized German Index of Multiple Deprivation (GIMD) on municipality level. We estimated 3-month, 1-year, 5-year and 5-year conditional on 1-year age-standardized relative survival using period approach for 2012-2014. Trend analyses were conducted for periods between 2003-2005 and 2012-2014. Model-based period analysis was used to calculate relative excess risks (RER) adjusted for age and stage. In total, 2,333,547 cases were included. For all cancers combined, 5-year survival rates by GIMD quintile were 61.6% in Q1 (least deprived), 61.2% in Q2, 60.4% in Q3, 59.9% in Q4, and 59.0% in Q5 (most deprived). For most cancer sites, the most deprived quintile had lower 5-year survival compared to the least deprived quintile even after adjusting for stage (all cancer sites combined, RER 1.16, 95% confidence interval 1.14-1.19). For some cancer sites, this association was stronger during short-term follow-up. Trend analyses showed improved survival from earlier to recent periods but persisting deprivation differences. The underlying reasons for these persisting survival inequalities and strategies to overcome them should be further investigated.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |a Area-based socioeconomic deprivation
|2 Other
650 _ 7 |a Germany
|2 Other
650 _ 7 |a cancer registry
|2 Other
650 _ 7 |a survival
|2 Other
700 1 _ |a Behrens, Gundula
|0 P:(DE-He78)810dd5ca5d284a355124f982bfc3a8e6
|b 1
|u dkfz
700 1 _ |a Maier, Werner
|b 2
700 1 _ |a Schwettmann, Lars
|b 3
700 1 _ |a Pritzkuleit, Ron
|b 4
700 1 _ |a Holleczek, Bernd
|b 5
700 1 _ |a Kajüter, Hiltraud
|b 6
700 1 _ |a Gerken, Michael
|b 7
700 1 _ |a Mattutat, Johann
|b 8
700 1 _ |a Emrich, Katharina
|b 9
700 1 _ |a Jansen, Lina
|0 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
|b 10
|u dkfz
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 11
|u dkfz
700 1 _ |a Group, German Cancer Survival Working
|b 12
|e Collaboration Author
700 1 _ |a Möller, Mark
|b 13
700 1 _ |a Jäger, Karin
|b 14
700 1 _ |a Werner, Carmen
|b 15
700 1 _ |a Strecker, Paul
|b 16
700 1 _ |a Gerken, Michael
|b 17
700 1 _ |a Geiss, Karla
|b 18
700 1 _ |a Twardella, Dorothee
|b 19
700 1 _ |a Meyer, Martin
|b 20
700 1 _ |a Eberle, Andrea
|b 21
700 1 _ |a Luttmann, Sabine
|b 22
700 1 _ |a Wilsdorf-Köhler, Heide
|b 23
700 1 _ |a Stabenow, Roland
|b 24
700 1 _ |a Erb, Cynthia
|b 25
700 1 _ |a Nennecke, Alice
|b 26
700 1 _ |a Hentschel, Stefan
|b 27
700 1 _ |a Sirri, Eunice
|b 28
700 1 _ |a Kieschke, Joachim
|b 29
700 1 _ |a Holleczek, Bernd
|b 30
700 1 _ |a Emrich, Katharina
|b 31
700 1 _ |a Kajüter, Hiltraud
|b 32
700 1 _ |a Mattauch, Volkmar
|b 33
700 1 _ |a Katalinic, Alexander
|b 34
700 1 _ |a Pritzkuleit, Ron
|b 35
700 1 _ |a Mattutat, Johann
|b 36
700 1 _ |a Arndt, Volker
|b 37
700 1 _ |a Maier, Werner
|b 38
700 1 _ |a Schwettmann, Lars
|b 39
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 40
|u dkfz
700 1 _ |a Behrens, Gundula
|b 41
700 1 _ |a Jansen, Lina
|0 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
|b 42
|u dkfz
700 1 _ |a Finke, Isabelle
|b 43
773 _ _ |a 10.1002/ijc.33553
|g p. ijc.33553
|0 PERI:(DE-600)1474822-8
|n 3
|p 561-572
|t International journal of cancer
|v 149
|y 2021
|x 1097-0215
909 C O |p VDB
|o oai:inrepo02.dkfz.de:168120
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)a79a61dd9934f6115f9383fd1dc21d76
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)810dd5ca5d284a355124f982bfc3a8e6
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 40
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 42
|6 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
913 0 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Cancer risk factors and prevention
|x 0
914 1 _ |y 2021
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2021-02-04
|w ger
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2021-02-04
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-04
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-02-04
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J CANCER : 2019
|d 2021-02-04
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b INT J CANCER : 2019
|d 2021-02-04
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C120-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21