ReviewOral and maxillofacial surgery2025
Global trends in the microbial profile of odontogenic infections and its practical implications: A 70-year narrative review.
Review in Oral and maxillofacial surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Impact of CT-assessed sarcopenia on the severity of odontogenic deep neck infections: a retrospective cohort study.Odontology · 2026Article
- Distribution and antimicrobial resistance of pathogens in oral and maxillofacial infections during and Post-COVID-19 pandemic.Frontiers in public health · 2026Article
- Article
- Canada's "American-style" dental health system.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2025Article
- Results of bacterial cultivation are infrequently utilized in the treatment of patients hospitalized with severe odontogenic infections - a retrospective cohort study.Journal of oral microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesOdontogenic infections represent a significant clinical challenge in maxillofacial surgery due to their potential for rapid progression and life-threatening complications. Regional variations in microbial profiles and antibiotic resistance patterns directly influence treatment efficacy, underscoring the necessity for geographically tailored antimicrobial strategies. This study systematically evaluated the global microbial epidemiology of odontogenic infections, analyzing prevalent pathogens, emerging resistance trends, and the clinical effectiveness of current antibiotic regimens across different regions.
methodsWe conducted a comprehensive PubMed search, identifying 162 eligible studies comprising retrospective analyses, case series, clinical trials, and antimicrobial susceptibility tests. Extracted data included microbial identification results, antibiotic susceptibility profiles, and geographic variables. Statistical evaluation employed Pearson's correlation coefficients and Kruskal-Wallis tests.
resultsThe analysis encompassed 20,911 patients yielding 61,408 bacterial isolates representing 123 distinct strains. No statistically significant temporal trends in microbial prevalence were detected. Geographic variations significantly affected antibiotic selection, with regional efficacy patterns being particularly evident in severe infections. Amoxicillin-clavulanate and vancomycin demonstrated consistently high susceptibility rates (> 90%), whereas the metronidazole-penicillin combination showed limited efficacy, though this finding was constrained by insufficient data availability.
conclusionsAlthough surgical drainage remains the cornerstone of management, treatment outcomes can be optimized through region-specific antibiotic selection guided by local microbial patterns. Antibiograms, whenever feasible, support targeted therapy, helping address resistance patterns. Optimal antimicrobial stewardship for odontogenic infections requires continuous consideration of evolving regional resistance trends alongside potential therapeutic risks.
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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.