001     294918
005     20251114115743.0
024 7 _ |a 10.1002/oby.24164
|2 doi
024 7 _ |a pmid:39658513
|2 pmid
024 7 _ |a 1071-7323
|2 ISSN
024 7 _ |a 1930-7381
|2 ISSN
024 7 _ |a 1550-8528
|2 ISSN
024 7 _ |a 1930-739X
|2 ISSN
024 7 _ |a altmetric:172173130
|2 altmetric
037 _ _ |a DKFZ-2024-02625
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Mandic, Marko
|0 P:(DE-He78)6c325c717056d7ccd38066629f7dff6b
|b 0
|e First author
|u dkfz
245 _ _ |a Overcoming underestimation of the share of colorectal cancer cases attributable to excess weight: a population-based study.
260 _ _ |a Hoboken, NJ
|c 2025
|b Wiley
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 1735298802_21519
|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:C070#LA:C070# / 2025 Jan;33(1):156-163
520 _ _ |a Previous research may have underestimated the relationship between overweight/obesity and colorectal cancer (CRC) risk by overlooking important potential sources of bias.We used data from a large, population-based case-control study encompassing 7098 CRC cases and 5757 age- and sex-matched controls with comprehensive information on risk factors, including self-reported body weight. Multivariate logistic regression was used to assess the associations of BMI with CRC risk before and after considering prediagnostic weight loss, history of lower gastrointestinal endoscopy, and potentially increased CRC risk beneath the overweight threshold (BMI 25 kg/m2). Subsequently, population attributable fractions were calculated.In the standard analysis evaluating the BMI-CRC association, in which none of the three aforementioned factors was considered, the fraction of CRC cases attributable to overweight and obesity was estimated to be 11.5%. This finding is consistent with estimates from previous studies, which mostly did not consider any of the three factors. However, when all three factors were considered in the analysis, a higher BMI was estimated to account for 23.4% of all CRC cases.Careful consideration of important sources of bias suggests that a substantially larger share of the CRC burden may be attributable to excess weight than previously thought.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
700 1 _ |a Safizadeh, Fatemeh
|0 P:(DE-He78)a15e13b5e2dfc276ddddbf7505023951
|b 1
|u dkfz
700 1 _ |a Hoffmeister, Michael
|0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
|b 2
|u dkfz
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 3
|e Last author
|u dkfz
773 _ _ |a 10.1002/oby.24164
|g p. oby.24164
|0 PERI:(DE-600)2027211-X
|n 1
|p 156-163
|t Obesity
|v 33
|y 2025
|x 1071-7323
856 4 _ |y OpenAccess
|u https://inrepo02.dkfz.de/record/294918/files/Obesity%20-%202024%20-%20Mandic%20-%20Overcoming%20underestimation%20of%20the%20share%20of%20colorectal%20cancer%20cases%20attributable%20to%20excess%20weight%20.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://inrepo02.dkfz.de/record/294918/files/Obesity%20-%202024%20-%20Mandic%20-%20Overcoming%20underestimation%20of%20the%20share%20of%20colorectal%20cancer%20cases%20attributable%20to%20excess%20weight%20.pdf?subformat=pdfa
909 C O |o oai:inrepo02.dkfz.de:294918
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)6c325c717056d7ccd38066629f7dff6b
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)a15e13b5e2dfc276ddddbf7505023951
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
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 2024
915 p c |a APC keys set
|0 PC:(DE-HGF)0000
|2 APC
915 p c |a Local Funding
|0 PC:(DE-HGF)0001
|2 APC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-24
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b OBESITY : 2022
|d 2023-10-24
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2023-10-24
|w ger
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-24
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b OBESITY : 2022
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-24
920 2 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 1
920 0 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21