Luo Ai-Jing, Wang Fu-Zhi, Luo Dan, Hu De-Hua, Mao Ping, Xie Wen-Zhao, He Xiao-Feng, Kan Wei, Wang Yun
The Third Xiangya Hospital of Central South University, Changsha, China; Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha, China.
School of Public Health, Central South University, Changsha, China; Department of Medicine Management, Bengbu Medical College, Bengbu, China.
Clin Res Hepatol Gastroenterol. 2015 Feb;39(1):45-51. doi: 10.1016/j.clinre.2014.08.003. Epub 2014 Sep 15.
We conducted a meta-analysis of all published case-control and cohort studies to evaluate the relationship between vegetables intake and liver cancer risk.
We searched for cohort and case-control studies published before February 2014, using Pubmed and Cochrane Library Central database. Pooled relative risk (RR) estimates and corresponding 95% confidence interval (CI) were calculated using the inverse-variance method.
Eight case-control studies and one cohort study were included in this meta-analysis, involving a total of 136,425 subjects and 1349 liver cancer cases. Finally, we observed a statistically significant protective effect of vegetables consumption on liver cancer (RR=0.78, 95% CI [0.62, 0.99]). In the present meta-analysis, no publication bias was observed among studies using Begg's P value (P=0.532); Egger's (P=0.180) test, which suggested there was no evidence of publication bias.
Our results suggest that vegetables consumption may reduce the risk of liver cancer. More prospective cohort studies with larger sample size, well-controlled confounding factors are warranted to further evaluate the association.
我们对所有已发表的病例对照研究和队列研究进行了一项荟萃分析,以评估蔬菜摄入量与肝癌风险之间的关系。
我们使用PubMed和Cochrane图书馆中央数据库检索了2014年2月之前发表的队列研究和病例对照研究。采用逆方差法计算合并相对风险(RR)估计值和相应的95%置信区间(CI)。
本荟萃分析纳入了8项病例对照研究和1项队列研究,共涉及136425名受试者和1349例肝癌病例。最后,我们观察到蔬菜消费对肝癌具有统计学上显著的保护作用(RR = 0.78,95% CI [0.62, 0.99])。在本荟萃分析中,使用Begg's P值(P = 0.532)的研究中未观察到发表偏倚;Egger's检验(P = 0.180)表明没有证据支持发表偏倚。
我们的结果表明,食用蔬菜可能会降低患肝癌的风险。需要更多样本量更大、混杂因素控制良好的前瞻性队列研究来进一步评估这种关联。