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饮用含咖啡因和脱咖啡因咖啡与黑色素瘤风险:前瞻性队列研究的剂量反应荟萃分析。

Caffeinated and decaffeinated coffee consumption and melanoma risk: a dose-response meta-analysis of prospective cohort studies.

机构信息

a Department of Epidemiology and Population Studies , Jagiellonian University Medical College , Krakow , Poland.

b Department of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia" , University of Catania , Catania , Italy.

出版信息

Int J Food Sci Nutr. 2018 Jun;69(4):417-426. doi: 10.1080/09637486.2017.1373752. Epub 2017 Sep 11.

DOI:10.1080/09637486.2017.1373752
PMID:28891369
Abstract

To determine the association between total, caffeinated and decaffeinated coffee consumption and melanoma risk a dose-response meta-analysis on prospective cohort studies were performed. Eligible studies were identified searching PubMed and EMBASE databases from the earliest available online indexing year to March 2017. The dose-response relationship was assessed by random-effects meta-analysis and the shape of the exposure-outcome curve was modelled linearly and using restricted cubic splines. A total of seven studies eligible for meta-analysis were identified that comprised 1,418,779 participants and 9211 melanoma cases. A linear dose-response meta-analysis showed a significant association between total coffee consumption and melanoma risk. An increase in coffee consumption of one cup per day was associated with a 3% reduction in melanoma risk (RR 0.97; 95% CI 0.95-0.99). Our findings suggest that coffee intake may be inversely associated with incidence of melanoma. Nevertheless, further studies exploring also the role of confounding factors are needed to explain the heterogeneity among studies.

摘要

为了确定总咖啡、含咖啡因咖啡和脱咖啡因咖啡的消耗与黑色素瘤风险之间的关联,我们对前瞻性队列研究进行了剂量反应荟萃分析。从最早的在线索引年份到 2017 年 3 月,通过搜索 PubMed 和 EMBASE 数据库来确定符合条件的研究。通过随机效应荟萃分析评估剂量-反应关系,并采用线性和限制性立方样条对暴露-结局曲线的形状进行建模。确定了 7 项符合荟萃分析条件的研究,共纳入 1418779 名参与者和 9211 例黑色素瘤病例。线性剂量反应荟萃分析显示,总咖啡消耗与黑色素瘤风险之间存在显著关联。每天增加一杯咖啡的消耗与黑色素瘤风险降低 3%相关(RR 0.97;95%CI 0.95-0.99)。我们的研究结果表明,咖啡摄入可能与黑色素瘤的发病率呈负相关。然而,需要进一步的研究来探索混杂因素的作用,以解释研究之间的异质性。

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