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  • 标题:The Facts about Food after Cancer Diagnosis: A Systematic Review of Prospective Cohort Studies
  • 本地全文:下载
  • 作者:Emanuele Rinninella ; Maria Cristina Mele ; Marco Cintoni
  • 期刊名称:Nutrients
  • 电子版ISSN:2072-6643
  • 出版年度:2020
  • 卷号:12
  • 期号:8
  • 页码:2345-2373
  • DOI:10.3390/nu12082345
  • 出版社:MDPI Publishing
  • 摘要:Nutritional guidelines suggest specific energy and protein requirements for patients with cancer. However, cancer patients, often malnourished, use self-made or web-based diets to ameliorate the prognosis of their disease. This review aimed to investigate the associations between post-diagnostic diet and prognostic outcomes in cancer patients. A systematic literature search was performed in Pubmed and Web of Science databases from inception to 30 October 2019, based on fixed inclusion and exclusion criteria. The risk of bias was assessed. A total of 29 prospective studies was identified. Breast (n = 11), colorectal (n = 9), prostate (n = 8) cancers are the most studied. Low- fat diet, healthy quality diet, regular consumption of fiber such as vegetables and high-quality protein intake are beneficial while Western diet (WD) and high consumption of saturated fats could be associated with a higher risk of mortality. Bladder (n = 1), gynecological (n = 1), lung, stomach, and pancreatic cancers still remain almost unexplored. This systematic review suggested that detrimental dietary patterns such as WD should be avoided but none of the food categories (meat, dairy products) should be eliminated in cancer patients’ diet. Further large prospective studies are needed to assess the role of post-diagnostic diet in patients with cancer.
  • 关键词:cancer; diet; malnutrition; meat; milk; dairy products; nuts; vegetarian diet; ketogenic diet; mediterranean diet; gut microbiota; short chain fatty acids; personalized medicine cancer ; diet ; malnutrition ; meat ; milk ; dairy products ; nuts ; vegetarian diet ; ketogenic diet ; mediterranean diet ; gut microbiota ; short chain fatty acids ; personalized medicine
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