SynthesisJournal of clinical periodontology2025
Microbial Markers for Diagnosis and Risk Assessment for Periodontal Diseases: A Systematic Literature Search and Narrative Synthesis.
Synthesis in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses 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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence Models for Diagnosis of Periodontitis Using Non-Invasive Biological Markers: A Systematic Review and Meta-Analysis of Patient-Based Studies.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Microbial Markers for Diagnosis and Risk Assessment for Periodontal Diseases: A Systematic Literature Search and Narrative Synthesis.Journal of clinical periodontology · 2025Pooled it
- Diagnostic and Therapeutic Approaches in Periodontology: From Traditional Concepts to Modern Innovations.Biomedicines · 2026Review
- The Actinobacteria-to-Proteobacteria (A/P) Ratio: A Novel Oral Microbial Marker for Metabolic Syndrome.International dental journal · 2026Article
- Microbiome/transforming growth factor-β axis as a diagnostic and therapeutic target for MASLD in Egyptian patients.Gut pathogens · 2026Article
- Diagnosis in Periodontology and Implant Dentistry: The Past, the Present, the Future.Journal of periodontal research · 2026Article
- Advanced Diagnostic Technologies and Molecular Biomarkers in Periodontitis: Systemic Health Implications and Translational Perspectives.Journal of clinical medicine · 2026Review
- Oral microbiome-based evaluation of periodontal treatment responses in individuals with special health care needs: a longitudinal study.BMC oral health · 2026Article
- Interrogation of imaging-based interspecies dynamics in the oral microbiome.Journal of oral microbiology · 2026Review
- Molecular cytokine-dependent mechanisms of periodontitis pathogenesis and the potential for pharmacological IL-1 modulation in disease treatment.Frontiers in dental medicine · 2026Review
- Comparison of Supervised Machine Learning Models to Logistic Regression Model Using Tooth-Related Factors to Predict the Outcome of Nonsurgical Periodontal Treatment.Diagnostics (Basel, Switzerland) · 2025Article
- SANA-Biome: A Protocol for a Cross-Sectional Study on Oral Health, Diet, and the Oral Microbiome in Romania.Healthcare (Basel, Switzerland) · 2025Article
- Consensus Report of the 20th European Workshop on Periodontology: Contemporary and Emerging Technologies in Periodontal Diagnosis.Journal of clinical periodontology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
aimTo examine the accuracy of microbiological biomarkers in diagnosing periodontal diseases, specifically addressing three focus questions: (FQ1) distinguishing health from disease; (FQ2) predicting disease progression; and (FQ3) assessing treatment outcomes. MATERIALS AND
methodsA PRISMA-guided search in MEDLINE, EMBAS and WEB OF SCIENCE included cross-sectional and longitudinal studies (e.g., randomised controlled trials, cohort studies) with ≥ 20 participants per group. Eligible studies involved individuals diagnosed with periodontal health, gingivitis or periodontitis, based on well-defined clinical criteria, and utilised microbiological analyses of oral fluids and/or dental plaque. Diagnostic accuracy had to be evaluated using sensitivity, specificity or area under the receiver operating characteristic (ROC) curve (AUC), or alternatively, data for their computation had to be provided.
resultsThirty-one studies were included, mostly cross-sectional or case-control, with significant variability in sampling sites, microbial analyses and diagnostic definitions, complicating direct comparisons. Frequently investigated biomarkers included Aggregatibacter actinomycetemcomitans (JP2 genotype), Porphyromonas gingivalis , Tannerella forsythia and Treponema denticola . The highest diagnostic accuracy (AUC > 0.95) was achieved through composite microbiome-based metrics such as the subgingival microbial dysbiosis index. However, methodological heterogeneity and inconsistent criteria limited reliability.
conclusionAlthough microbiological biomarkers hold promise for periodontal disease diagnostics and monitoring, current evidence is insufficient for clinical implementation. Future research should standardise methodologies, sampling protocols and diagnostic criteria to ensure robust validation and facilitate integration into precision dentistry.
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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.