001     169275
005     20240229133646.0
024 7 _ |a 10.1080/0284186X.2021.1940274
|2 doi
024 7 _ |a pmid:34137351
|2 pmid
024 7 _ |a 0284-186X
|2 ISSN
024 7 _ |a 1100-1704
|2 ISSN
024 7 _ |a 1651-226X
|2 ISSN
024 7 _ |a 1651-2499
|2 ISSN
024 7 _ |a altmetric:107798405
|2 altmetric
037 _ _ |a DKFZ-2021-01372
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Scherer-Trame, Sophie
|0 P:(DE-He78)a4307287511137778efe28e651f9f245
|b 0
|e First author
|u dkfz
245 _ _ |a Inpatient rehabilitation therapy among colorectal cancer patients - utilization and association with prognosis: a cohort study.
260 _ _ |a Abingdon
|c 2021
|b Taylor & Francis Group
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 1626337746_24713
|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:C071#LA:C070# / 2021 Aug;60(8):1000-1010
520 _ _ |a Inpatient rehabilitation therapy (IRT) is commonly offered to cancer patients during or after cancer treatment in Germany. However, little is known about utilization and long-term effects of this offer in colorectal cancer (CRC) patients. We aimed to assess IRT utilization, determinants of utilization and the association between IRT and survival in CRC patients.CRC patients diagnosed in 2005-2014 recruited in the population-based DACHS study in South West Germany were included. Determinants of IRT utilization were assessed by multivariable logistic regression. Hazard ratios (HRs) of the association of IRT with overall and disease-specific survival were estimated by adjusted Cox proportional hazards models. Modified landmark approach was applied to avoid immortal time biased results.Among the included CRC patients (n = 3704), 43.6% underwent IRT. Patients who did not live in a relationship with a partner, worked as employee and who reported higher levels of physical activity were more likely to undergo IRT. Patients were less likely to undergo IRT if they had private health insurance, were diagnosed with cancer stage IV, received no or laparoscopic cancer surgery or were treated in a hospital with medium vs. high surgical volume. The median follow-up time was 4.4 years (post-landmark). Utilization of IRT was associated with better overall (HR 0.81, 95% confidence interval 0.72-0.92) and disease-specific survival (HR 0.72, 95% confidence interval 0.61-0.85).Almost every other CRC patient underwent IRT. Next to clinical characteristics, identified social and lifestyle characteristics seemed to play an essential role in the decision-making. Use of IRT was associated with better overall and disease-specific survival.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
650 _ 7 |a Inpatient rehabilitation
|2 Other
650 _ 7 |a cancer rehabilitation
|2 Other
650 _ 7 |a colorectal cancer
|2 Other
650 _ 7 |a survival
|2 Other
650 _ 7 |a utilization
|2 Other
700 1 _ |a Jansen, Lina
|0 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
|b 1
|u dkfz
700 1 _ |a Arndt, Volker
|0 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0
|b 2
|u dkfz
700 1 _ |a Chang-Claude, Jenny
|0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
|b 3
|u dkfz
700 1 _ |a Hoffmeister, Michael
|0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
|b 4
|u dkfz
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 5
|e Last author
|u dkfz
773 _ _ |a 10.1080/0284186X.2021.1940274
|g p. 1 - 11
|0 PERI:(DE-600)1492623-4
|n 8
|p 1000-1010
|t Acta oncologica
|v 60
|y 2021
|x 0001-6926
909 C O |o oai:inrepo02.dkfz.de:169275
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)a4307287511137778efe28e651f9f245
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
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
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
914 1 _ |y 2021
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2021-01-30
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-01-30
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ACTA ONCOL : 2019
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2021-01-30
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-30
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-01-30
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2021-01-30
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 0
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 1
920 1 _ |0 I:(DE-He78)M110-20160331
|k M110
|l M110 Epidemiologisches Krebsregister Baden-Württemberg
|x 2
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 3
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 4
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C120-20160331
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)M110-20160331
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21