Erschienen in:
09.06.2017 | Concise Commentary
Chronic Kidney Disease and H. pylori Prevalence: A Significant Association?
verfasst von:
Mahboube Ganji-Arjenaki, Mahmoud Rafieian-Kopaei
Erschienen in:
Digestive Diseases and Sciences
|
Ausgabe 8/2017
Einloggen, um Zugang zu erhalten
Excerpt
The Wijarnpreecha et al. [
1] study, entitled “Association of Helicobacter pylori with Chronic Kidney Diseases: A Meta-Analysis,” published in
Digestive Diseases and Sciences, investigated the relationship between
H. pylori infection and the incidence of chronic kidney disease (CKD) and non-dialysis-dependent kidney disease. Wijarnpreecha et al. reported that the association in question was not significant. Although their work is interesting, we would like to comment on the method of analysis they adopted to conduct this meta-analysis. They analyzed nine cross-sectional studies using 95% confidence intervals (CI) and odds ratio (OR) to investigate association between
H.
pylori infection and CKD. The prevalence of odds ratio (POR) method was used to explain the prevalence of
H. pylori in patients with and without kidney disease, illustrated by two graphs [
1]. In cross-sectional studies, the POR can be computed using the same ad/bc formula (POR is a measure of the association between the two factors in the 2 × 2 table). POR is calculated as the OR to measure the incidence rate in two groups [
2,
3]. In Wijarnpreecha et al.’s meta-analysis, the
p value was >0.05 (
p = 0.4 or 0.9) for the OR but <0.05 (
p = 0.0) for prevalence. They reported that there was no association between
H. pylori infection and the two types of kidney disease, though the prevalence was 53% with
p < 0.05. Since a significant correlation between the prevalence of
H. pylori and nephropathy in 8 of cited studies existed (Table 1 in Ref. [
1]), it would be better to use POR
only; in that case, the relationship would be considered significant, and compatibility would be observed between the input and output data. Then, the prevalence in the two subgroups (CKD and non-dialysis-dependent kidney disease) could be illustrated separately using two graphs. …