000144087 001__ 144087
000144087 005__ 20240229112617.0
000144087 0247_ $$2doi$$a10.1016/j.cgh.2018.11.036
000144087 0247_ $$2pmid$$apmid:30476588
000144087 0247_ $$2pmc$$apmc:PMC6533164
000144087 0247_ $$2ISSN$$a1542-3565
000144087 0247_ $$2ISSN$$a1542-7714
000144087 0247_ $$2altmetric$$aaltmetric:57821645
000144087 037__ $$aDKFZ-2019-01637
000144087 041__ $$aeng
000144087 082__ $$a610
000144087 1001_ $$0P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107$$aCarr, Prudence$$b0$$eFirst author$$udkfz
000144087 245__ $$aAssociation Between Intake of Red and Processed Meat and Survival in Patients With Colorectal Cancer in a Pooled Analysis.
000144087 260__ $$aNew York, NY$$bElsevier Science$$c2019
000144087 3367_ $$2DRIVER$$aarticle
000144087 3367_ $$2DataCite$$aOutput Types/Journal article
000144087 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1561709884_9537
000144087 3367_ $$2BibTeX$$aARTICLE
000144087 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000144087 3367_ $$00$$2EndNote$$aJournal Article
000144087 520__ $$aRed and processed meat intake is associated with colorectal cancer (CRC) incidence, but it is not clear if intake is associated with patient survival after diagnosis.We pooled data from 7627 patients with stage I-IV CRC from 10 studies in the International Survival Analysis in Colorectal Cancer Consortium. Cox proportional hazards regression models were used to evaluate the associations of intake of red and processed meat before diagnosis with overall and CRC-specific survival.Among 7627 patients with CRC, 2338 died, including 1576 from CRC, over a median follow-up time of 5.1 years. In multivariable-adjusted analyses, higher intake of red or processed meat was not associated with overall survival of patients with stage I-III CRC: Q4 vs Q1 red meat hazard ratio [HR], 1.08 (95% CI, 0.93-1.26) and Q4 vs Q1 processed meat HR, 1.10 (95% CI, 0.93-1.32) or with CRC-specific survival: Q4 vs Q1 red meat HR, 1.09 (95% CI, 0.89-1.33) and Q4 vs Q1 processed meat HR, 1.11 (95% CI, 0.87-1.42). Results were similar for patients with stage IV CRC. However, patients with stage I-III CRC who reported an intake of processed meat above the study-specific medians had a higher risk of death from any cause (HR, 1.12; 95% CI, 1.01-1.25) than patients who reported eating at or less than the median.In this large consortium of CRC patient cohorts, intake of red and processed meat before a diagnosis of CRC was not associated with shorter survival time after diagnosis, although a possible weak adverse association cannot be excluded. Studies that evaluate dietary data from several time points before and after cancer diagnosis are required to confirm these findings.
000144087 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000144087 588__ $$aDataset connected to CrossRef, PubMed,
000144087 7001_ $$aBanbury, Barbara L$$b1
000144087 7001_ $$aBerndt, Sonja I$$b2
000144087 7001_ $$aCampbell, Peter T$$b3
000144087 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b4$$udkfz
000144087 7001_ $$aHayes, Richard B$$b5
000144087 7001_ $$aHoward, Barbara V$$b6
000144087 7001_ $$0P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09$$aJansen, Lina$$b7$$udkfz
000144087 7001_ $$aJacobs, Eric J$$b8
000144087 7001_ $$aLane, Dorothy S$$b9
000144087 7001_ $$aNishihara, Reiko$$b10
000144087 7001_ $$aOgino, Shuji$$b11
000144087 7001_ $$aPhipps, Amanda I$$b12
000144087 7001_ $$aSlattery, Martha L$$b13
000144087 7001_ $$aStefanick, Marcia L$$b14
000144087 7001_ $$aWallace, Robert$$b15
000144087 7001_ $$0P:(DE-He78)6c2a1ea8cce3580fe2d1c1df120a92b9$$aWalter, Viola$$b16$$udkfz
000144087 7001_ $$aWhite, Emily$$b17
000144087 7001_ $$aWu, Kana$$b18
000144087 7001_ $$aPeters, Ulrike$$b19
000144087 7001_ $$aChan, Andrew T$$b20
000144087 7001_ $$aNewcomb, Polly A$$b21
000144087 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b22$$udkfz
000144087 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b23$$eLast author$$udkfz
000144087 773__ $$0PERI:(DE-600)2102638-5$$a10.1016/j.cgh.2018.11.036$$gVol. 17, no. 8, p. 1561 - 1570.e3$$n8$$p1561 - 1570.e3$$tClinical gastroenterology and hepatology$$v17$$x1542-3565$$y2019
000144087 909CO $$ooai:inrepo02.dkfz.de:144087$$pVDB
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)bbfe0ebad1e3b608bca2b49d4f86bd09$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c2a1ea8cce3580fe2d1c1df120a92b9$$aDeutsches Krebsforschungszentrum$$b16$$kDKFZ
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b22$$kDKFZ
000144087 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b23$$kDKFZ
000144087 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000144087 9141_ $$y2019
000144087 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCLIN GASTROENTEROL H : 2017
000144087 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000144087 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000144087 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000144087 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000144087 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000144087 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000144087 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine
000144087 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCLIN GASTROENTEROL H : 2017
000144087 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lKlinische Epidemiologie und Alternsforschung$$x0
000144087 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x1
000144087 9201_ $$0I:(DE-He78)L101-20160331$$kL101$$lDKTK Heidelberg$$x2
000144087 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebserkrankungen$$x3
000144087 980__ $$ajournal
000144087 980__ $$aVDB
000144087 980__ $$aI:(DE-He78)C070-20160331
000144087 980__ $$aI:(DE-He78)C120-20160331
000144087 980__ $$aI:(DE-He78)L101-20160331
000144087 980__ $$aI:(DE-He78)C020-20160331
000144087 980__ $$aUNRESTRICTED