SynthesisJournal of clinical periodontology2025
Genetic Biomarkers for Periodontal Diseases: A Systematic Review.
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. It is linked to trial NCT07661784 (Evaluation of Salivary Biomarkers Associated With Bone Remodeling in the Transition From Periodontal Health to Disease), which is not on this map. Cited by 9 papers, 1 of them a synthesis 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.
Evaluation of Salivary Biomarkers Associated With Bone Remodeling in the Transition From Periodontal Health to Disease
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic Biomarkers for Periodontal Diseases: A Systematic Review.Journal of clinical periodontology · 2025Pooled it
- Diagnostic and Therapeutic Approaches in Periodontology: From Traditional Concepts to Modern Innovations.Biomedicines · 2026Review
- Multi-Omics Integration Reveals the Genetic Mechanisms of Periodontitis and Predicts Therapeutic Drugs.International dental journal · 2026Article
- Influence of Genetic and Epigenetic Factors on Periodontitis Susceptibility and Treatment Outcomes.Biochemical genetics · 2026Review
- Association of theInternational journal of molecular sciences · 2026Article
- Beyond receptor activation: biased toll-like receptor signaling in periodontal inflammation and regeneration.Frontiers in immunology · 2026Review
- BRAR-anchored multimodal dataset of panoramic radiographs for periodontal bone resorption grading.Scientific data · 2025Article
- Review
- Consensus Report of the 20th European Workshop on Periodontology: Contemporary and Emerging Technologies in Periodontal Diagnosis.Journal of clinical periodontology · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo identify genetic biomarkers that may be used in the diagnosis, prevention or management of different forms of periodontal disease. MATERIALS AND
methodsFollowing protocol registration and PICOTS (patient, intervention, comparison, outcome, time, studies) questions, a systematic search of the literature was conducted (PudMed, Ovid), resulting in 1592 papers screened by two reviewers. Diagnostic data were extracted or calculated from included papers and compared with clinically determined diagnoses, disease progression and/or response to treatment.
resultsA total of 607 articles met the inclusion criteria, including 10 reporting data on gingivitis and 597 on periodontitis. Only two papers reported diagnostic performance data, while for 41 articles on large candidate gene studies, diagnostic performance could be calculated from the reported data. No study using chair-side tests was identified. Low to moderate values for sensitivity, specificity, positive and negative predictive value and diagnostic accuracy were found.
conclusionNo genetic diagnostic test of clinical value emerged for periodontal diagnosis, prevention or prediction of disease resolution. Thus, potential future applications of polygenic risk scores that encode susceptibility, as well as single-marker testing for monogenic or oligogenic forms of periodontal diseases, are discussed.
Indexed as
Identifiers
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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.