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Network meta-analysis of treatment interventions for Helicobacter pylori infection in adult populations in East and Southeast Asia

Zhang L, Li BR, Guo ST, Li Y

Frontiers in pharmacology, 2024

29,903 participants · 3 citations

Abstract

Background: Helicobacter pylori (H. pylori) infection poses a global health challenge, necessitating diverse treatment strategies. This network meta-analysis aimed to assess various treatment regimens for H. pylori in East and Southeast Asian populations.

Methods: A systematic search was conducted in PubMed, Embase, and the Cochrane Library databases from inception to 20 Dec 2023, to identify relevant randomized controlled trials (RCTs) on H. pylori treatment interventions in East Asian and Southeast Asian populations. The primary outcome focused on effectiveness, specifically the rate of H. pylori eradication, while the secondary outcome evaluated overall safety, including the incidence of total and serious adverse effects. Network geometry plots were generated to illustrate direct and indirect treatment comparisons, using triple therapy (TT) as the reference standard. Odds Ratios (ORs) and 95% confidence intervals (CIs) were calculated using random-effects models to account for study heterogeneity and consistency models for indirect comparisons. The treatment hierarchy was assessed using the ranking probabilities and surface under the cumulative ranking curve (SUCRA) values.

Results: 79 studies met the inclusion criteria, with 99 paired comparisons. The included studies, conducted in Southeast Asia and among East Asian populations, included 29,903 patients. Significant outcomes in treat effectiveness were observed in various comparisons, such as sequential therapy vs. TT,…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 29,903 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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