No abstract

Background Helicobacter pylori is an important carcinogenic factor in gastric cancer. Studies have shown that Helicobacter pylori infection is inversely associated with certain diseases such as esophageal cancer and whose infection appears to have a “protective effect.” At present, the relationship between Helicobacter pylori infection and esophageal cancer remains controversial. This study was designed to investigate the relationship between Helicobacter pylori infection and the risk of esophageal cancer in different regions and ethnicities. Methods Systematic search of the articles on the relationship between Helicobacter pylori infection and esophageal cancer from the database with the duration time up to December 2018. This systematic review was performed under the MOOSE guidelines. Results This meta-analysis included 35 studies with 345,886 patients enrolled. There was no significant correlation between Helicobacter pylori infection and esophageal squamous cell carcinoma in the general population (OR: 0.84; 95% CI: 0.64-1.09/OR: 0.74; 95% CI: 0.54-0.97). However, a significant correlation was found in the Middle East (OR: 0.34; 95% CI: 0.22-0.52/95% CI: 0.26-0.44). There was no significant difference in the prevalence of Helicobacter pylori between the case group and the control group in esophageal adenocarcinoma (8.87% vs. 9.67%). The pooled OR was 0.55 (95% CI: 0.43-0.70) or 0.23 (95% CI: 0.15-0.36). When grouped by match or not, the pooled OR of the nonmatching group and the matching group was 0.48/0.21 (95% CI: 0.36-0.65/95% CI: 0.13-0.36) and 0.73/0.71 (95% CI: 0.57-0.92/95% CI: 0.60-0.84), respectively. Conclusion In the general populations, no significant association was found between Helicobacter pylori infection and the risk of esophageal squamous cell carcinoma. However, lower risk was found in the Middle East. Helicobacter pylori infection may reduce the risk of esophageal adenocarcinoma, but such “protection effect” may be overestimated.

A common problem that arises in the meta-analysis of several studies, each with independent treatment and control groups, is to test for the homogeneity of effect sizes without the assumptions of equal variances of the treatment and the control groups and of equal variances among the separate studies. A commonly used test statistic, frequently denoted as Q, is the weighted sum of squares of the differences of the individual effect sizes from the mean effect size, with weights inversely proportional to the variances of the effect sizes. The primary contributions of this article are the presentation of improved and very accurate approximations to the distributions of the Q statistic when the effect size is a linear contrast such as the difference between the treatment and control means. Our improved approximation to the distribution of Q under the null hypothesis is based on a multiple of an F-distribution; its use yields a substantial reduction in the type I error rate of the homogeneity test. Our improved approximation to the distribution of Q under an alternative hypothesis is based on a shift of a chi-square distribution; its use allows for much greater accuracy in the computation of the power of the homogeneity test. These two improved approximate distributions are developed using the Welch methodology of approximating the moments of Q by the use of multivariate Taylor expansions. The quality of these approximations is studied by simulation. A secondary contribution of this article is a study of how best to combine the variances of the treatment and control groups (needed for the calculation of weights in the Q statistic). Our conclusion, based on simulations, is that use of pooled variances can result in substantially erroneous conclusions.