001     154620
005     20240229123108.0
024 7 _ |a pmid:32334593
|2 pmid
024 7 _ |a 1476-069X
|2 ISSN
024 7 _ |a 1476-069x
|2 ISSN
024 7 _ |a 1682-3559
|2 ISSN
024 7 _ |a altmetric:80592806
|2 altmetric
024 7 _ |a 10.1186/s12940-020-00596-9
|2 doi
037 _ _ |a DKFZ-2020-00893
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Satta, Giannina
|b 0
245 _ _ |a Occupational exposure to ionizing radiation and risk of lymphoma subtypes: results of the Epilymph European case-control study.
260 _ _ |a London
|b BioMed Central
|c 2020
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
|s 1693389216_15639
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |0 0
|2 EndNote
|a Journal Article
520 _ _ |a Evidence linking risk of lymphoma and B-cell lymphoma subtypes to ionizing radiation is inconclusive, particularly at low exposure levels.We investigated risk of lymphoma (all subtypes), B-cell lymphomas, and its major subtypes, associated with low-level occupational exposure to ionizing radiation, in 2346 lymphoma cases and 2463 controls, who participated in the multicenter EpiLymph case-control study. We developed a job-exposure matrix to estimate exposure to ionizing radiation, distinguishing between internal and external radiation, and we applied it to the lifetime occupational history of study subjects, We calculated the Odds Ratio (OR) and its 95% confidence interval (95% CI) for lymphoma (all subtypes combined), B-cell lymphoma, and its major subtypes using unconditional, polytomous logistic regression adjusting for age, gender, and education.We did not observe an association between exposure metrics of external and internal radiation and risk of lymphoma (all subtypes), nor with B-cell lymphoma, or its major subtypes, at the levels regularly experienced in occupational settings. An elevated risk of diffuse large B cell lymphoma was observed among the most likely exposed study subjects with relatively higher exposure intensity, which would be worth further investigation.Further investigation is warranted on risk of B cell lymphoma subtypes associated with low-level occupational exposure to external ionizing radiation, and to clarify whether lymphoma should be included among the cancer outcomes related to ionizing radiation.
536 _ _ |0 G:(DE-HGF)POF3-313
|a 313 - Cancer risk factors and prevention (POF3-313)
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to PubMed,
700 1 _ |a Loi, Matteo
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Becker, Nickolaus
|b 2
700 1 _ |a Benavente, Yolanda
|b 3
700 1 _ |a De Sanjose, Silvia
|b 4
700 1 _ |a Foretova, Lenka
|b 5
700 1 _ |a Staines, Anthony
|b 6
700 1 _ |a Maynadie, Marc
|b 7
700 1 _ |a Nieters, Alexandra
|b 8
700 1 _ |a Meloni, Federico
|b 9
700 1 _ |a Pilia, Ilaria
|b 10
700 1 _ |a Campagna, Marcello
|b 11
700 1 _ |a Pau, Marco
|b 12
700 1 _ |a Zablotska, Lydia B
|b 13
700 1 _ |0 0000-0001-8256-7614
|a Cocco, Pierluigi
|b 14
773 _ _ |0 PERI:(DE-600)2092232-2
|a 10.1186/s12940-020-00596-9
|g Vol. 19, no. 1
|n 1
|p 43
|t Environmental health
|v 19
|x 1476-069X
|y 2020
909 C O |o oai:inrepo02.dkfz.de:154620
|p VDB
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-HGF)0
|a Deutsches Krebsforschungszentrum
|b 2
|k DKFZ
913 1 _ |0 G:(DE-HGF)POF3-313
|1 G:(DE-HGF)POF3-310
|2 G:(DE-HGF)POF3-300
|3 G:(DE-HGF)POF3
|4 G:(DE-HGF)POF
|a DE-HGF
|b Gesundheit
|l Krebsforschung
|v Cancer risk factors and prevention
|x 0
914 1 _ |y 2020
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b ENVIRON HEALTH-GLOB : 2021
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0501
|2 StatID
|a DBCoverage
|b DOAJ Seal
|d 2022-06-03T06:37:39Z
915 _ _ |0 StatID:(DE-HGF)0500
|2 StatID
|a DBCoverage
|b DOAJ
|d 2022-06-03T06:37:39Z
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b DOAJ : Open peer review
|d 2022-06-03T06:37:39Z
915 _ _ |0 StatID:(DE-HGF)0600
|2 StatID
|a DBCoverage
|b Ebsco Academic Search
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b ASC
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0113
|2 StatID
|a WoS
|b Science Citation Index Expanded
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)1110
|2 StatID
|a DBCoverage
|b Current Contents - Clinical Medicine
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)1060
|2 StatID
|a DBCoverage
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0160
|2 StatID
|a DBCoverage
|b Essential Science Indicators
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)9905
|2 StatID
|a IF >= 4
|b ENVIRON HEALTH-GLOB : 2021
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0561
|2 StatID
|a Article Processing Charges
|d 2022-11-29
915 _ _ |0 StatID:(DE-HGF)0700
|2 StatID
|a Fees
|d 2022-11-29
920 1 _ |0 I:(DE-He78)C130-20160331
|k C130
|l Personalisierte Früherkennung des Prostatakarzinoms
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C130-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21