001     143906
005     20240229112612.0
024 7 _ |a 10.1016/j.oraloncology.2019.05.006
|2 doi
024 7 _ |a pmid:31178212
|2 pmid
024 7 _ |a 1368-8375
|2 ISSN
024 7 _ |a 1744-7895
|2 ISSN
024 7 _ |a 1878-0601
|2 ISSN
024 7 _ |a 1879-0593
|2 ISSN
024 7 _ |a altmetric:60715029
|2 altmetric
037 _ _ |a DKFZ-2019-01464
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Di Credico, Gioia
|b 0
245 _ _ |a Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer: A bivariate spline model approach.
260 _ _ |a Amsterdam [u.a.]
|c 2019
|b Elsevier Science
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 1560338915_923
|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 This study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures.We pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework.For oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30  years. In former smokers who quit ≥10  years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers.Referring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
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 Edefonti, Valeria
|b 1
700 1 _ |a Polesel, Jerry
|b 2
700 1 _ |a Pauli, Francesco
|b 3
700 1 _ |a Torelli, Nicola
|b 4
700 1 _ |a Serraino, Diego
|b 5
700 1 _ |a Negri, Eva
|b 6
700 1 _ |a Luce, Daniele
|b 7
700 1 _ |a Stucker, Isabelle
|b 8
700 1 _ |a Matsuo, Keitaro
|b 9
700 1 _ |a Brennan, Paul
|b 10
700 1 _ |a Vilensky, Marta
|b 11
700 1 _ |a Fernandez, Leticia
|b 12
700 1 _ |a Curado, Maria Paula
|b 13
700 1 _ |a Menezes, Ana
|b 14
700 1 _ |a Daudt, Alexander W
|b 15
700 1 _ |a Koifman, Rosalina
|b 16
700 1 _ |a Wunsch-Filho, Victor
|b 17
700 1 _ |a Holcatova, Ivana
|b 18
700 1 _ |a Ahrens, Wolfgang
|b 19
700 1 _ |a Lagiou, Pagona
|b 20
700 1 _ |a Simonato, Lorenzo
|b 21
700 1 _ |a Richiardi, Lorenzo
|b 22
700 1 _ |a Healy, Claire
|b 23
700 1 _ |a Kjaerheim, Kristina
|b 24
700 1 _ |a Conway, David I
|b 25
700 1 _ |a Macfarlane, Tatiana V
|b 26
700 1 _ |a Thomson, Peter
|b 27
700 1 _ |a Agudo, Antonio
|b 28
700 1 _ |a Znaor, Ariana
|b 29
700 1 _ |a Boaventura Rios, Leonardo F
|b 30
700 1 _ |a Toporcov, Tatiana N
|b 31
700 1 _ |a Franceschi, Silvia
|b 32
700 1 _ |a Herrero, Rolando
|b 33
700 1 _ |a Muscat, Joshua
|b 34
700 1 _ |a Olshan, Andrew F
|b 35
700 1 _ |a Zevallos, Jose P
|b 36
700 1 _ |a La Vecchia, Carlo
|b 37
700 1 _ |a Winn, Deborah M
|b 38
700 1 _ |a Sturgis, Erich M
|b 39
700 1 _ |a Li, Guojun
|b 40
700 1 _ |a Fabianova, Eleonora
|b 41
700 1 _ |a Lissowska, Jolanda
|b 42
700 1 _ |a Mates, Dana
|b 43
700 1 _ |a Rudnai, Peter
|b 44
700 1 _ |a Shangina, Oxana
|b 45
700 1 _ |a Swiatkowska, Beata
|b 46
700 1 _ |a Moysich, Kirsten
|b 47
700 1 _ |a Zhang, Zuo-Feng
|b 48
700 1 _ |a Morgenstern, Hal
|b 49
700 1 _ |a Levi, Fabio
|b 50
700 1 _ |a Smith, Elaine
|b 51
700 1 _ |a Lazarus, Philip
|b 52
700 1 _ |a Bosetti, Cristina
|b 53
700 1 _ |a Garavello, Werner
|b 54
700 1 _ |a Kelsey, Karl
|b 55
700 1 _ |a McClean, Michael
|b 56
700 1 _ |a Ramroth, Heribert
|b 57
700 1 _ |a Chen, Chu
|b 58
700 1 _ |a Schwartz, Stephen M
|b 59
700 1 _ |a Vaughan, Thomas L
|b 60
700 1 _ |a Zheng, Tongzhang
|b 61
700 1 _ |a Menvielle, Gwenn
|b 62
700 1 _ |a Boccia, Stefania
|b 63
700 1 _ |a Cadoni, Gabriella
|b 64
700 1 _ |a Hayes, Richard B
|b 65
700 1 _ |a Purdue, Mark
|b 66
700 1 _ |a Gillison, Maura
|b 67
700 1 _ |a Schantz, Stimson
|b 68
700 1 _ |a Yu, Guo-Pei
|b 69
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 70
|u dkfz
700 1 _ |a D'Souza, Gypsyamber
|b 71
700 1 _ |a Gross, Neil D
|b 72
700 1 _ |a Chuang, Shu-Chun
|b 73
700 1 _ |a Boffetta, Paolo
|b 74
700 1 _ |a Hashibe, Mia
|b 75
700 1 _ |a Lee, Yuan-Chin Amy
|b 76
700 1 _ |a Dal Maso, Luigino
|b 77
773 _ _ |a 10.1016/j.oraloncology.2019.05.006
|g Vol. 94, p. 47 - 57
|0 PERI:(DE-600)2011971-9
|p 47 - 57
|t Oral oncology
|v 94
|y 2019
|x 1368-8375
909 C O |o oai:inrepo02.dkfz.de:143906
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 70
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
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 2019
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 DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l Klinische Epidemiologie und Alternsforschung
|x 0
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)L101-20160331
|k L101
|l DKTK Heidelberg
|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)L101-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21