Skip to content
#small language model Open access

Adjunctive Oral Treatment Improves Helicobacter pylori Eradication Without Evidence of a Dose-Response Gradient: An Updated Meta-Analysis Challenging the Oral Reservoir Hypothesis

Oct 2026 · Cureus · 29 references
Helicobacter pylori-related gastroenterology studies

Abstract

Standard antibiotic regimens for Helicobacter pylori are failing more often as resistance rises, and the oral cavity has long been proposed as an extragastric reservoir that seeds gastric recolonization.If so, treating the mouth should improve gastric eradication, a testable clinical claim rather than a correlation.We therefore pooled the randomized evidence on adjunctive periodontal and oral hygiene treatment identified through our search strategy and tested the reservoir hypothesis rather than assuming it.We included randomized and quasi-randomized controlled trials in which adults or children receiving standard eradication therapy for confirmed gastric H. pylori infection were allocated to receive, or not receive, an adjunctive periodontal or oral hygiene intervention.Trials were identified by citation searching of three previous syntheses and by targeted searches for trials published after August 2015, without language restriction.The primary outcome was eradication confirmed at the first post-treatment assessment, at least four weeks after therapy; the co-primary outcome was absence of recurrence at six months or later.We pooled odds ratios and risk ratios using random-effects models with the Hartung-Knapp adjustment, assessed risk of bias with the second version of the Cochrane risk-of-bias tool, and rated certainty using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.Subgroup analyses by intervention intensity, region, publication period, and source verifiability were prespecified, and small-study effects were examined by funnel plot, Egger and Begg tests, and trimand-fill.Eleven trials contributed data.For eradication, 10 trials, including 1,575 participants, gave a pooled odds ratio of 2.84 (95% confidence interval 1.84 to 4.39; p = 0.0004) with modest heterogeneity (I-squared 34.4%, prediction interval 1.18 to 6.87), corresponding to eradication in 87.1% versus 72.0% and a number needed to treat of six.For recurrence, four trials including 999 participants gave a pooled odds ratio for remaining free of infection of 4.64 (95% confidence interval 2.06 to 10.45); the same trials pooled as risk ratios gave 1.63 (95% confidence interval 0.86 to 3.09), and both are reported with equal prominence because the finding does not survive the change of scale.There was no evidence of small-study effects (Egger p = 0.51; none imputed by trim-and-fill).No gradient with intervention intensity was detected: an antiseptic mouthrinse alone performed at least as well as full-mouth scaling and root planing (test for subgroup differences p = 0.19), although the stratum-level confidence intervals were wide, and the largest single effect in the dataset came from a placebo-controlled trial of an antiseptic mouthrinse with no mechanical component.No trial was at low overall risk of bias.Adjunctive oral treatment is consistently associated with better eradication, but no evidence of a doseresponse gradient was detected, which does not support simple mechanical removal of an oral reservoir as the explanation.Certainty was moderate for eradication, downgraded for risk of bias, and low for recurrence, downgraded for risk of bias and imprecision.

Read PDF

Similar papers

#small language model Dataset Open access Oct 2026

Socratic guiding questions in synthetic arithmetic data: matched LoRA runs (revision v2)

Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...

O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al. · 465 citations
#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.