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Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies
BACKGROUND: There have been inconsistent results about the association between consumption of fruits and vegetables and renal cell carcinoma (RCC) risk. We conducted a meta-analysis of the published observational studies to explore this association. RESULTS: Nineteen observational studies (4 cohort,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438616/ https://www.ncbi.nlm.nih.gov/pubmed/28427188 http://dx.doi.org/10.18632/oncotarget.15841 |
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author | Zhang, Shaojing Jia, Zhankui Yan, Zechen Yang, Jinjian |
author_facet | Zhang, Shaojing Jia, Zhankui Yan, Zechen Yang, Jinjian |
author_sort | Zhang, Shaojing |
collection | PubMed |
description | BACKGROUND: There have been inconsistent results about the association between consumption of fruits and vegetables and renal cell carcinoma (RCC) risk. We conducted a meta-analysis of the published observational studies to explore this association. RESULTS: Nineteen observational studies (4 cohort, 1 pooled and 14 case-control studies), involving 10,215 subjects with RCC were part of this meta-analysis. The SRR for the highest vs. the lowest intake of vegetables was 0.73 (95% CI: 0.63–0.85; P(heterogeneity) = 0.004, I(2) = 53.5%), whereas for fruits it was 0.86 (95% CI: 0.75–0.98; P(heterogeneity) = 0.012, I(2) = 47.4%). Linear dose-response analysis also showed similar results, e.g., for per 1 serving/day increment of vegetables, the SRR was 0.90 (95% CI: 0.84–0.96) and for fruits it was 0.97 (95% CI: 0.93–1.01). Nonlinear association was only observed for vegetables (P(nonlinearity) = 0.001), but not for fruits (P(nonlinearity) = 0.221). MATERIALS AND METHODS: Eligible studies up to August 31, 2016 were identified and retrieved by searching MEDLINE and EMBASE databases along with manual review of the reference list from the retrieved studies. Quality of included studies was evaluated using Newcastle-Ottawa Quality Assessment Scale (NOS). Random-effects model was used to calculate summary relative risk (SRR) and corresponding 95% confidence interval (CI). CONCLUSIONS: This meta-analysis indicated a protective effect of consumption of vegetables and fruits on RCC risk. Further studies are warranted with prospective designs that use validated questionnaires and control for important confounders. |
format | Online Article Text |
id | pubmed-5438616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54386162017-05-24 Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies Zhang, Shaojing Jia, Zhankui Yan, Zechen Yang, Jinjian Oncotarget Research Paper BACKGROUND: There have been inconsistent results about the association between consumption of fruits and vegetables and renal cell carcinoma (RCC) risk. We conducted a meta-analysis of the published observational studies to explore this association. RESULTS: Nineteen observational studies (4 cohort, 1 pooled and 14 case-control studies), involving 10,215 subjects with RCC were part of this meta-analysis. The SRR for the highest vs. the lowest intake of vegetables was 0.73 (95% CI: 0.63–0.85; P(heterogeneity) = 0.004, I(2) = 53.5%), whereas for fruits it was 0.86 (95% CI: 0.75–0.98; P(heterogeneity) = 0.012, I(2) = 47.4%). Linear dose-response analysis also showed similar results, e.g., for per 1 serving/day increment of vegetables, the SRR was 0.90 (95% CI: 0.84–0.96) and for fruits it was 0.97 (95% CI: 0.93–1.01). Nonlinear association was only observed for vegetables (P(nonlinearity) = 0.001), but not for fruits (P(nonlinearity) = 0.221). MATERIALS AND METHODS: Eligible studies up to August 31, 2016 were identified and retrieved by searching MEDLINE and EMBASE databases along with manual review of the reference list from the retrieved studies. Quality of included studies was evaluated using Newcastle-Ottawa Quality Assessment Scale (NOS). Random-effects model was used to calculate summary relative risk (SRR) and corresponding 95% confidence interval (CI). CONCLUSIONS: This meta-analysis indicated a protective effect of consumption of vegetables and fruits on RCC risk. Further studies are warranted with prospective designs that use validated questionnaires and control for important confounders. Impact Journals LLC 2017-03-02 /pmc/articles/PMC5438616/ /pubmed/28427188 http://dx.doi.org/10.18632/oncotarget.15841 Text en Copyright: © 2017 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhang, Shaojing Jia, Zhankui Yan, Zechen Yang, Jinjian Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title | Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title_full | Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title_fullStr | Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title_full_unstemmed | Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title_short | Consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
title_sort | consumption of fruits and vegetables and risk of renal cell carcinoma: a meta-analysis of observational studies |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438616/ https://www.ncbi.nlm.nih.gov/pubmed/28427188 http://dx.doi.org/10.18632/oncotarget.15841 |
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