Ontology type: schema:ScholarlyArticle Open Access: True
2010-09
AUTHORSX. H. Zhou, Q. Qiao, B. Zethelius, K. Pyörälä, S. Söderberg, A. Pajak, C. D. A. Stehouwer, R. J. Heine, P. Jousilahti, G. Ruotolo, P. M. Nilsson, G. Calori, J. Tuomilehto, for the DECODE Study Group
ABSTRACTAIMS/HYPOTHESIS: We aimed to investigate the risk of cancer mortality in relation to the glucose tolerance status classified according to the 2 h OGTT. METHODS: Data from 17 European population-based or occupational cohorts involved in the DECODE study comprising 26,460 men and 18,195 women aged 25-90 years were collaboratively analysed. The cohorts were recruited between 1966 and 2004 and followed for 5.9 to 36.8 years. Cox proportional hazards analysis with adjustment for cohort, age, BMI, total cholesterol, blood pressure and smoking status was used to estimate HRs for cancer mortality. RESULTS: Compared with people in the normal glucose category, multivariable adjusted HRs (95% CI) for cancer mortality were 1.13 (1.00, 1.28), 1.27 (1.02, 1.57) and 1.71 (1.35, 2.17) in men with prediabetes, previously undiagnosed diabetes and known diabetes, respectively; in women they were 1.11 (0.94, 1.30), 1.31 (1.00, 1.70) and 1.43 (1.01, 2.02), respectively. Significant increases in deaths from cancer of the stomach, colon-rectum and liver in men with prediabetes and diabetes, and deaths from cancers of the liver and pancreas in women with diabetes were also observed. In individuals without known diabetes, the HR (95% CI) for cancer mortality corresponding to a one standard deviation increase in fasting plasma glucose was 1.06 (1.02, 1.09) and in 2 h plasma glucose was 1.07 (1.03, 1.11). CONCLUSIONS/INTERPRETATION: Diabetes and prediabetes were associated with an increased risk of cancer death, particularly death from liver cancer. Mortality from all cancers rose linearly with increasing glucose concentrations. More... »
PAGES1867-1876
http://scigraph.springernature.com/pub.10.1007/s00125-010-1796-7
DOIhttp://dx.doi.org/10.1007/s00125-010-1796-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1031811131
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/20490448
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