001     157048
005     20240229123127.0
024 7 _ |a 10.1016/j.ygyno.2020.06.481
|2 doi
024 7 _ |a pmid:32641237
|2 pmid
024 7 _ |a 0090-8258
|2 ISSN
024 7 _ |a 1095-6859
|2 ISSN
024 7 _ |a altmetric:85781388
|2 altmetric
037 _ _ |a DKFZ-2020-01339
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Brieger, Katharine K
|b 0
245 _ _ |a Menopausal hormone therapy prior to the diagnosis of ovarian cancer is associated with improved survival.
260 _ _ |a Amsterdam [u.a.]
|c 2020
|b Elsevier
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 1602676186_15239
|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 2020 Sep;158(3):702-709
520 _ _ |a Prior studies of menopausal hormone therapy (MHT) and ovarian cancer survival have been limited by lack of hormone regimen detail and insufficient sample sizes. To address these limitations, a comprehensive analysis of 6419 post-menopausal women with pathologically confirmed ovarian carcinoma was conducted to examine the association between MHT use prior to diagnosis and survival.Data from 15 studies in the Ovarian Cancer Association Consortium were included. MHT use was examined by type (estrogen-only (ET) or estrogen+progestin (EPT)), duration, and recency of use relative to diagnosis. Cox proportional hazards models were used to estimate the association between hormone therapy use and survival. Logistic regression and mediation analysis was used to explore the relationship between MHT use and residual disease following debulking surgery.Use of ET or EPT for at least five years prior to diagnosis was associated with better ovarian cancer survival (hazard ratio, 0.80; 95% CI, 0.74 to 0.87). Among women with advanced stage, high-grade serous carcinoma, those who used MHT were less likely to have any macroscopic residual disease at the time of primary debulking surgery (p for trend <0.01 for duration of MHT use). Residual disease mediated some (17%) of the relationship between MHT and survival.Pre-diagnosis MHT use for 5+ years was a favorable prognostic factor for women with ovarian cancer. This large study is consistent with prior smaller studies, and further work is needed to understand the underlying mechanism.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Peterson, Siri
|b 1
700 1 _ |a Lee, Alice W
|b 2
700 1 _ |a Mukherjee, Bhramar
|b 3
700 1 _ |a Bakulski, Kelly M
|b 4
700 1 _ |a Alimujiang, Aliya
|b 5
700 1 _ |a Anton-Culver, Hoda
|b 6
700 1 _ |a Anglesio, Michael S
|b 7
700 1 _ |a Bandera, Elisa V
|b 8
700 1 _ |a Berchuck, Andrew
|b 9
700 1 _ |a Bowtell, David D L
|b 10
700 1 _ |a Chenevix-Trench, Georgia
|b 11
700 1 _ |a Cho, Kathleen R
|b 12
700 1 _ |a Cramer, Daniel W
|b 13
700 1 _ |a DeFazio, Anna
|b 14
700 1 _ |a Doherty, Jennifer A
|b 15
700 1 _ |a Fortner, Renée T
|0 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
|b 16
|u dkfz
700 1 _ |a Garsed, Dale W
|b 17
700 1 _ |a Gayther, Simon A
|b 18
700 1 _ |a Gentry-Maharaj, Aleksandra
|b 19
700 1 _ |a Goode, Ellen L
|b 20
700 1 _ |a Goodman, Marc T
|b 21
700 1 _ |a Harris, Holly R
|b 22
700 1 _ |a Høgdall, Estrid
|b 23
700 1 _ |a Huntsman, David G
|b 24
700 1 _ |a Shen, Hui
|b 25
700 1 _ |a Jensen, Allan
|b 26
700 1 _ |a Johnatty, Sharon E
|b 27
700 1 _ |a Jordan, Susan J
|b 28
700 1 _ |a Kjaer, Susanne K
|b 29
700 1 _ |a Kupryjanczyk, Jolanta
|b 30
700 1 _ |a Lambrechts, Diether
|b 31
700 1 _ |a McLean, Karen
|b 32
700 1 _ |a Menon, Usha
|b 33
700 1 _ |a Modugno, Francesmary
|b 34
700 1 _ |a Moysich, Kirsten
|b 35
700 1 _ |a Ness, Roberta
|b 36
700 1 _ |a Ramus, Susan J
|b 37
700 1 _ |a Richardson, Jean
|b 38
700 1 _ |a Risch, Harvey
|b 39
700 1 _ |a Rossing, Mary Anne
|b 40
700 1 _ |a Trabert, Britton
|b 41
700 1 _ |a Wentzensen, Nicolas
|b 42
700 1 _ |a Ziogas, Argyrios
|b 43
700 1 _ |a Terry, Kathryn L
|b 44
700 1 _ |a Wu, Anna H
|b 45
700 1 _ |a Hanley, Gillian E
|b 46
700 1 _ |a Pharoah, Paul
|b 47
700 1 _ |a Webb, Penelope M
|b 48
700 1 _ |a Pike, Malcolm C
|b 49
700 1 _ |a Pearce, Celeste Leigh
|b 50
700 1 _ |a Consortium, Ovarian Cancer Association
|b 51
|e Collaboration Author
773 _ _ |a 10.1016/j.ygyno.2020.06.481
|g p. S0090825820322964
|0 PERI:(DE-600)1467974-7
|n 3
|p 702-709
|t Gynecologic oncology
|v 153
|y 2020
|x 0090-8258
909 C O |o oai:inrepo02.dkfz.de:157048
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 16
|6 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2020
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-01-03
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b GYNECOL ONCOL : 2018
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-01-03
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-01-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-01-03
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-01-03
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21