R Bellocco1, E Pasquali2, M Rota3, V Bagnardi4, I Tramacere5, L Scotti2, C Pelucchi5, P Boffetta6, G Corrao2, C La Vecchia7. 1. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Statistics, University of Milano-Bicocca, Milan. Electronic address: Rino.Bellocco@unimib.it. 2. Department of Statistics, University of Milano-Bicocca, Milan. 3. Department of Statistics, University of Milano-Bicocca, Milan; Department of Clinical Medicine and Prevention, Centre of Biostatistics for Clinical Epidemiology, University of Milano-Bicocca, Monza. 4. Department of Statistics, University of Milano-Bicocca, Milan; Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan. 5. Department of Epidemiology, Mario Negri Institute for Pharmacological Research, Milan, Italy. 6. International Prevention Research Institute, Lyon, France; The Tisch Cancer Institute, Mount Sinai School of Medicine, New York, USA. 7. Department of Epidemiology, Mario Negri Institute for Pharmacological Research, Milan, Italy; Department of Occupational Health, Section of Medical Statistics, University of Milan, Milan, Italy.
Abstract
BACKGROUND: The role of alcohol consumption in relation with renal cell carcinoma is still unclear; a few studies have reported a beneficial effect of moderate levels of alcohol consumption, whereas it remains still under debate whether there is a dose-response association. MATERIALS AND METHODS: Twenty observational studies (4 cohort, 1 pooled and 15 case-control) reporting results on at least three levels of alcohol consumption were selected through a combined search with PubMed and EMBASE of articles published before November 2010. Overall relative risks (RRs) and 95% confidence intervals (CIs) were estimated using random-effects models, and both second-order fractional polynomials and random effect meta-regression models were implemented for the study of dose-risk relation. RESULTS: The estimated RRs were 0.85 (95% CI: 0.80-0.92) for any alcohol drinking, 0.90 (95% CI: 0.83-0.97) for light drinking (0.01-12.49 g/day), 0.79 (95% CI: 0.71-0.88) for moderate drinking (12.5-49.9 g/day) and 0.89 (95% CI: 0.58-1.39) for heavy drinking (≥50 g/day), respectively. CONCLUSION: Our meta-analysis supports the hypothesis of a negative effect of moderate alcohol consumption on the risk of renal cell cancer.
BACKGROUND: The role of alcohol consumption in relation with renal cell carcinoma is still unclear; a few studies have reported a beneficial effect of moderate levels of alcohol consumption, whereas it remains still under debate whether there is a dose-response association. MATERIALS AND METHODS: Twenty observational studies (4 cohort, 1 pooled and 15 case-control) reporting results on at least three levels of alcohol consumption were selected through a combined search with PubMed and EMBASE of articles published before November 2010. Overall relative risks (RRs) and 95% confidence intervals (CIs) were estimated using random-effects models, and both second-order fractional polynomials and random effect meta-regression models were implemented for the study of dose-risk relation. RESULTS: The estimated RRs were 0.85 (95% CI: 0.80-0.92) for any alcohol drinking, 0.90 (95% CI: 0.83-0.97) for light drinking (0.01-12.49 g/day), 0.79 (95% CI: 0.71-0.88) for moderate drinking (12.5-49.9 g/day) and 0.89 (95% CI: 0.58-1.39) for heavy drinking (≥50 g/day), respectively. CONCLUSION: Our meta-analysis supports the hypothesis of a negative effect of moderate alcohol consumption on the risk of renal cell cancer.
Authors: Jose Ramon Troche; Susan T Mayne; Neal D Freedman; Fatma M Shebl; Christian C Abnet Journal: Am J Epidemiol Date: 2015-12-15 Impact factor: 4.897
Authors: V Bagnardi; M Rota; E Botteri; I Tramacere; F Islami; V Fedirko; L Scotti; M Jenab; F Turati; E Pasquali; C Pelucchi; C Galeone; R Bellocco; E Negri; G Corrao; P Boffetta; C La Vecchia Journal: Br J Cancer Date: 2014-11-25 Impact factor: 7.640