ArticleAnnals of Ibadan postgraduate medicine2024
A REVIEW OF SALIVARY BIOMARKERS OF PERIODONTAL DISEASE.
Article in Annals of Ibadan postgraduate medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Salivary osteocalcin as a biomarker for periodontal disease progression and treatment response: a prospective longitudinal study.The Saudi dental journal · 2026Article
- Analytical validation of aldolase, microalbumin and myeloperoxidase in canine saliva and their evaluation in canine gingivitis.Scientific reports · 2026Article
- C-Reactive Protein in Saliva as a Non-Invasive Marker of Metabolic Syndrome: A Systematic Review and Meta-Analysis.Life (Basel, Switzerland) · 2026Review
- Low salivary thioredoxin-1 levels in periodontitis.World journal of clinical cases · 2026Article
- Association Between Salivary Sirtuin-1 Levels and Periodontitis.Journal of clinical medicine · 2026Article
- Prediction of Periodontal Disease Progression During Supportive Periodontal Therapy Using an Oral Fluid Lactate Dehydrogenase Activity-Based Test Strip.Journal of clinical medicine · 2025Article
- Salivary Biomarkers in Periodontal Disease: Revolutionizing Early Detection and Precision Dentistry.Molecular diagnosis & therapy · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Periodontal disease is a complex multifactorial disease resulting from the interplay amongst microbiota, host immune response (influenced by genetic make-up) and lifestyle factors. The chronic inflammatory nature of the disease results in the destruction of the component of the periodontium. The process of the disease is associated with inflammation, collagen degradation and, bone loss which correlate with clinical features of periodontal disease. The clinical diagnosis of periodontal disease entails clinical examination involving the evaluation of probing depth, bleeding on probing, and radiographic examination of alveolar bone loss but these examinations are not enough to determine the activity, progression and, evaluation of the efficacy of the periodontal disease treatment. Given the foregoing gap in the traditional method of diagnosing periodontal disease, research on the molecular disease, biomarkers became imperative. The aim of this review is to summarize the current knowledge of salivary biomarkers of periodontal disease and to evaluate their validity in predicting disease progression. Methods: This narrative overview of 46 articles bordering on biomarkers of periodontal disease was conducted between 2000 to 2023, and assessed in Google Scholars, PubMed/Medline, Science Direct Database using keyword combined with Boolean operators. This was done following literature search; articles title, abstract evaluation and full-text reading studies. Results: The present review comprised of 46 studies were included (observational studies; reviews articles; and experimental studies), focusing on the detection of periodontal disease using non-traditional method; saliva as a medium for detection of periodontal disease biomarkers. Conclusion: Saliva is considered as anon-invasive and easier to collect medium for the detection of biomarkers as it contains virtually all the molecules found in other diagnostic media; serum and blood. This review highlights recent advances in salivary biomarkers as proteomics, genomics, and microbial biomarkers and potential clinical applications as well as available Point of Care (POC) diagnostics that aid easy diagnosis and prognosis.
Indexed as
Identifiers
40007720PMC11848377What OpenQuestion holds
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.