Skip to content
#data science Open access

Effectiveness of Silver Diamine Fluoride on Streptococcus mutans and Lactobacillus: A Systematic Review

Oct 2026 · Journal of Health Science and Medical Research

Abstract

Objective: This systematic review evaluated the efficacy of silver diamine fluoride (SDF) at various concentrations, follow-up intervals, and in combination with other agents in reducing Streptococcus mutans (S. mutans) and Lactobacillus, as well as comparing its effectiveness with other antimicrobial agents.Material and Methods: A systematic search was conducted in Scopus, Web of Science, Cochrane Library, PubMed, and Google Scholar for studies published up to 31 December 2023. Eligible studies included both in vitro and clinical studies evaluating the effects of SDF on S. mutans and Lactobacillus. Extracted data included SDF concentration, follow-up interval, and antibacterial outcomes. The risk of bias was assessed using the appropriate tools, according to the study design. Results: Twenty-four studies met the inclusion criteria. In vitro studies consistently demonstrated the strong antibacterial effects of SDF, with increased efficacy at higher concentrations. Clinical studies reported significant reductions in S. mutans and Lactobacillus for up to six months post-treatment. When compared to other agents, SDF showed comparable or superior antibacterial efficacy. Most studies showed a moderate to high risk of bias. Conclusion: SDF demonstrated significant antibacterial activity against S. mutans and Lactobacillus in both laboratory and clinical studies. Its efficacy is influenced by factors such as concentration, follow-up interval, and combination with other agents. Despite methodological variability limiting the certainty of evidence, the current findings support SDF as an effective antibacterial agent against cariogenic bacteria. Further well-designed and standardised clinical trials with longer follow-up periods are needed to strengthen the evidence base and validate its comparative effectiveness in caries management.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · 302 citations · ⚡60

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us 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.