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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Oral Path...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Oral Pathology and Medicine
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
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Topical medications for the treatment of recurrent aphthous stomatitis: A network meta‐analysis

Authors: Mubarak Ahmed Mashrah; Ying Fang; Wanxing Song; Sadeq Ali Al‐Maweri; Yang Lan; Ge Linhu; Liping Wang;

Topical medications for the treatment of recurrent aphthous stomatitis: A network meta‐analysis

Abstract

Abstract Background The present network meta‐analysis aims to answer the question “what is the best topical intervention for the treatment of recurrent aphthous stomatitis that can provide an acceptable pain relief and promote wound healing?” Methods From inception to October 2022, PubMed, Embase, Scopus, Cochrane Library, and China National Knowledge Infrastructure were searched to identify all potentially eligible randomized controlled trials. The primary outcomes were pain scores and/or healing time, while the secondary outcomes were the associated side effects. The Bayesian network meta‐analysis accompanied by a random effect model and 95% credible intervals were calculated. Results Forty‐three randomized controlled trials with a total of 3067 participants, comparing 20 different topical medications, were included. Concerning pain reduction, the network meta‐analysis failed to show any statistically significant differences when different topical treatments were compared together or even with a placebo at different time intervals. Except for doxycycline, which showed a statistically significant difference in terms of accelerating healing time, other topical interventions showed no statistically significant differences when compared with placebo or with each other. Conclusion Within the limitations of the current network meta‐analysis, it seems that: A low to moderate quality of evidence showed no superiority of any topical treatment over others concerning pain reduction, although rank probability tests revealed sucralfate, doxycycline, hyaluronic acid, and chamomile as the most efficacious treatment options at different evaluation times. Hence, further well‐designed clinical trials with larger sample sizes are warranted. Topical doxycycline was shown to be the most efficacious intervention in promoting healing of recurrent aphthous stomatitis.

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topical treatment, aphthous ulcer, systematic review, Doxycycline, Humans, Pain, Stomatitis, Aphthous, Bayes Theorem, healing, pain relief

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
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