000142882 001__ 142882
000142882 005__ 20240229121828.0
000142882 0247_ $$2doi$$a10.1093/gerona/gly053
000142882 0247_ $$2pmid$$apmid:29562321
000142882 0247_ $$2ISSN$$a1079-5006
000142882 0247_ $$2ISSN$$a1758-535X
000142882 0247_ $$2altmetric$$aaltmetric:34621691
000142882 037__ $$aDKFZ-2019-00512
000142882 041__ $$aeng
000142882 082__ $$a570
000142882 1001_ $$aRaina, Parminder$$b0
000142882 245__ $$aThe Combined Effect of Cancer and Cardiometabolic Conditions on the Mortality Burden in Older Adults.
000142882 260__ $$aOxford [u.a.]$$bOxford Univ. Pr.$$c2019
000142882 3367_ $$2DRIVER$$aarticle
000142882 3367_ $$2DataCite$$aOutput Types/Journal article
000142882 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1636555506_2157
000142882 3367_ $$2BibTeX$$aARTICLE
000142882 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000142882 3367_ $$00$$2EndNote$$aJournal Article
000142882 520__ $$aThe number of older people living with cancer and cardiometabolic conditions is increasing, but little is known about how specific combinations of these conditions impact mortality.A total of 22,692 participants aged 65 years and older from four international cohorts were followed-up for mortality for an average of 10 years (8,596 deaths). Data were harmonized across cohorts and mutually exclusive groups of disease combinations were created for cancer, myocardial infarction (MI), stroke, and diabetes at baseline. Cox proportional hazards models for all-cause mortality were used to estimate the age- and sex-adjusted hazard ratio and rate advancement period (RAP) (in years).At baseline, 23.6% (n = 5,116) of participants reported having one condition and 4.2% (n = 955) had two or more conditions. Data from all studies combined showed that the RAP increased with each additional condition. Diabetes advanced the rate of dying by the most years (5.26 years; 95% confidence interval [CI], 4.53-6.00), but the effect of any single condition was smaller than the effect of disease combinations. Some combinations had a significantly greater impact on the period by which the rate of death was advanced than others with the same number of conditions, for example, 10.9 years (95% CI, 9.4-12.6) for MI and diabetes versus 6.4 years (95% CI, 4.3-8.5) for cancer and diabetes.Combinations of cancer and cardiometabolic conditions accelerate mortality rates in older adults differently. Although most studies investigating mortality associated with multimorbidity used disease counts, these provide little guidance for managing complex patients as they age.
000142882 536__ $$0G:(DE-HGF)POF3-323$$a323 - Metabolic Dysfunction as Risk Factor (POF3-323)$$cPOF3-323$$fPOF III$$x0
000142882 588__ $$aDataset connected to CrossRef, PubMed,
000142882 7001_ $$aGilsing, Anne$$b1
000142882 7001_ $$aFreisling, Heinz$$b2
000142882 7001_ $$avan den Heuvel, Edwin$$b3
000142882 7001_ $$aSohel, Nazmul$$b4
000142882 7001_ $$aJenab, Mazda$$b5
000142882 7001_ $$aFerrari, Pietro$$b6
000142882 7001_ $$aTjønneland, Anne$$b7
000142882 7001_ $$aBenetou, Vassiliki$$b8
000142882 7001_ $$aPicavet, Susan$$b9
000142882 7001_ $$aEriksson, Sture$$b10
000142882 7001_ $$0P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aSchöttker, Ben$$b11$$udkfz
000142882 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b12$$udkfz
000142882 7001_ $$0P:(DE-He78)97343bbd9545a4b87574e74329dabfd1$$aSaum, Kai-Uwe$$b13$$udkfz
000142882 7001_ $$0P:(DE-He78)d9d72431035d8535d1b65ce9a01c2f60$$aPerna, Laura$$b14$$udkfz
000142882 7001_ $$aWilsgaard, Tom$$b15
000142882 7001_ $$aTrichopoulou, Antonia$$b16
000142882 7001_ $$aBoffetta, Paolo$$b17
000142882 7001_ $$aGriffith, Lauren E$$b18
000142882 773__ $$0PERI:(DE-600)2043927-1$$a10.1093/gerona/gly053$$gVol. 74, no. 3, p. 366 - 372$$n3$$p366 - 372$$tThe journals of gerontology / A Biological sciences, medical sciences Series A$$v74$$x1758-535X$$y2019
000142882 909CO $$ooai:inrepo02.dkfz.de:142882$$pVDB
000142882 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000142882 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ
000142882 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)97343bbd9545a4b87574e74329dabfd1$$aDeutsches Krebsforschungszentrum$$b13$$kDKFZ
000142882 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)d9d72431035d8535d1b65ce9a01c2f60$$aDeutsches Krebsforschungszentrum$$b14$$kDKFZ
000142882 9131_ $$0G:(DE-HGF)POF3-323$$1G:(DE-HGF)POF3-320$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lHerz-Kreislauf-Stoffwechselerkrankungen$$vMetabolic Dysfunction as Risk Factor$$x0
000142882 9141_ $$y2019
000142882 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000142882 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000142882 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000142882 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000142882 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ GERONTOL A-BIOL : 2017
000142882 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000142882 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000142882 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000142882 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000142882 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000142882 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000142882 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000142882 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index
000142882 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences
000142882 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000142882 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000142882 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000142882 980__ $$ajournal
000142882 980__ $$aVDB
000142882 980__ $$aI:(DE-He78)C070-20160331
000142882 980__ $$aUNRESTRICTED