001     166717
005     20240229133528.0
024 7 _ |a 10.1038/s41408-020-00390-3
|2 doi
024 7 _ |a pmid:33414374
|2 pmid
024 7 _ |a altmetric:97296931
|2 altmetric
037 _ _ |a DKFZ-2021-00064
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Baertsch, Marc-Andrea
|0 0000-0002-4000-6904
|b 0
245 _ _ |a Lenalidomide versus bortezomib maintenance after frontline autologous stem cell transplantation for multiple myeloma.
260 _ _ |a London [u.a.]
|c 2021
|b Nature Publishing 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 1610440870_25477
|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 Lenalidomide (LEN) maintenance (MT) post autologous stem cell transplantation (ASCT) is standard of care in newly diagnosed multiple myeloma (MM) but has not been compared to other agents in clinical trials. We retrospectively compared bortezomib (BTZ; n = 138) or LEN (n = 183) MT from two subsequent GMMG phase III trials. All patients received three cycles of BTZ-based triplet induction and post-ASCT MT. BTZ MT (1.3 mg/m2 i.v.) was administered every 2 weeks for 2 years. LEN MT included two consolidation cycles (25 mg p.o., days 1-21 of 28 day cycles) followed by 10-15 mg/day for 2 years. The BTZ cohort more frequently received tandem ASCT (91% vs. 33%) due to different tandem ASCT strategies. In the LEN and BTZ cohort, 43% and 46% of patients completed 2 years of MT as intended (p = 0.57). Progression-free survival (PFS; HR = 0.83, p = 0.18) and overall survival (OS; HR = 0.70, p = 0.15) did not differ significantly with LEN vs. BTZ MT. Patients with
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,
700 1 _ |a Mai, Elias K
|0 0000-0002-6226-1252
|b 1
700 1 _ |a Hielscher, Thomas
|0 P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f
|b 2
|u dkfz
700 1 _ |a Bertsch, Uta
|b 3
700 1 _ |a Salwender, Hans J
|b 4
700 1 _ |a Munder, Markus
|b 5
700 1 _ |a Fuhrmann, Stephan
|0 0000-0002-7785-2565
|b 6
700 1 _ |a Dührsen, Ulrich
|b 7
700 1 _ |a Brossart, Peter
|b 8
700 1 _ |a Neben, Kai
|b 9
700 1 _ |a Schlenzka, Jana
|b 10
700 1 _ |a Kunz, Christina
|b 11
700 1 _ |a Raab, Marc S
|b 12
700 1 _ |a Hillengaß, Jens
|b 13
700 1 _ |a Jauch, Anna
|b 14
700 1 _ |a Seckinger, Anja
|b 15
700 1 _ |a Hose, Dirk
|b 16
700 1 _ |a Luntz, Steffen
|b 17
700 1 _ |a Sonneveld, Pieter
|b 18
700 1 _ |a Lokhorst, Henk
|b 19
700 1 _ |a Martin, Hans
|b 20
700 1 _ |a Goerner, Martin
|b 21
700 1 _ |a Hoffmann, Martin
|b 22
700 1 _ |a Lindemann, Hans-Walter
|b 23
700 1 _ |a Bernhard, Helga
|b 24
700 1 _ |a Blau, Igor W
|b 25
700 1 _ |a Scheid, Christof
|b 26
700 1 _ |a Besemer, Britta
|b 27
700 1 _ |a Weisel, Katja C
|0 0000-0001-9422-6614
|b 28
700 1 _ |a Hänel, Mathias
|b 29
700 1 _ |a Dürig, Jan
|b 30
700 1 _ |a Goldschmidt, Hartmut
|b 31
700 1 _ |a Group, German-Speaking Myeloma Multicenter
|b 32
|e Collaboration Author
773 _ _ |a 10.1038/s41408-020-00390-3
|g Vol. 11, no. 1, p. 1
|0 PERI:(DE-600)2600560-8
|n 1
|p 1
|t Blood cancer journal
|v 11
|y 2021
|x 2044-5385
909 C O |o oai:inrepo02.dkfz.de:166717
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f
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 JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BLOOD CANCER J : 2018
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-09-05
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2020-09-05
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-09-05
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-05
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b BLOOD CANCER J : 2018
|d 2020-09-05
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-09-05
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-09-05
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21