SynthesisClinics (Sao Paulo, Brazil)2020
Anti-Helicobacter pylori treatment can effectively improve the clinical remission rates of irritable bowel syndrome: a controlled clinical trial meta-analysis.
Synthesis in Clinics (Sao Paulo, Brazil), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Methane, Bacteria, Fungi, and Fermentation: Pathophysiology, Diagnosis and Treatment Strategies for Small Intestinal Bacterial Overgrowth, Intestinal Methanogen Overgrowth and Small Intestinal Fungal Overgrowth.Current issues in molecular biology · 2025Review
- No evidence for a causal link betweenFrontiers in microbiology · 2023Article
- Progress in elucidating the relationship betweenWorld journal of gastroenterology · 2021Article
- Protective and therapeutic effects of two novel strains of Lactobacilli on diabetes-associated disorders induced by a high level of fructose.Molecular biology reports · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we used a meta-analysis of several clinical trials to determine whether anti-Helicobacter pylori therapy has any positive effect on IBS patients. Here we compared the effective clinical remission rates between IBS patients treated with anti-H. pylori therapy and those who were not. This data would provide more clinical evidence regarding the efficacy of novel treatments and intervention points for IBS patients. Relevant studies were identified using keyword searches on various electronic databases, including PubMed, Embase, the Cochrane Central Register of Controlled Trials, CNKI, and CBM. Keywords included "helicobacter pylori" and "irritable bowel syndrome" among others. The literature was screened using relatively strict inclusion and exclusion criteria and RevMan 5.3.5 and Stata 15.1 software were used for meta-analysis and to assess publication bias and sensitivity. A total of ten studies met all of the inclusion criteria; these included 655 IBS patients with H. pylori infection, of these, 385 patients were in the experimental group and 270 patients were in the control group. A random-effects model was used to pool the odds ratios (ORs) with a 95% confidence interval (CIs) and the combined OR was 2.87 (95% CI: 1.74-4.72), p<0.0001. These findings suggest that anti-H. pylori therapy can effectively improve the remission rates of H. pylori-positive IBS patients. H. pylori infection is known to correlate with the incidence of IBS. Anti-H. pylori treatment can effectively improve the clinical remission rates of IBS patients. Whether this means that IBS patients should be actively treated with anti-H. pylori compounds as a novel strategy to improve the remission rates needs to be evaluated in vivo.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.