ReviewCureus2025
Advancements in Predicting Periodontal Disease Evolution: A Narrative Review of Contemporary Clinical Risk Prediction Systems.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Discordance in the 2018 Periodontal Classification: Conceptual Challenges and a Biologically Grounded Framework for Interpretation.Dentistry journal · 2026Article
- Precision immunopharmacology in peri-implantitis management: from molecular mechanisms to advanced therapeutic strategies.Frontiers in immunology · 2026Review
- Sociodemographic Determinants and Temporal Trends in Periodontal Conditions in Brazil: A Population-Based Cross-Sectional Study.International journal of dentistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Periodontal diseases are multifactorial chronic inflammatory disorders characterised by progressive destruction of the tooth-supporting apparatus. Predicting the evolution of these diseases remains a significant clinical challenge because microbial, host, behavioral, and systemic determinants interact to produce substantial inter-individual variability. In recent decades, periodontal care has transitioned from a reactive model toward a preventive, risk-oriented approach supported by structured prediction systems. Various clinical risk assessment tools, including the hexagonal periodontal risk assessment (PRA), modified PRA (MPRA), UniFe/PerioRisk, SmartRisk, DentoRisk, and the Periodontal Risk Calculator (PRC/PreViser), have been designed to quantify and visualise an individual's susceptibility to disease progression. These models integrate multiple parameters such as probing depth, bleeding on probing, bone loss, smoking, diabetes, and host-response markers to generate patient- or tooth-level prognoses. Recent developments have incorporated artificial intelligence-driven algorithms and real-time digital data capture to enhance predictive accuracy and facilitate personalised maintenance strategies. This narrative review critically analyses the evolution, structure, validation evidence, and clinical applicability of major periodontal risk prediction systems and explores future directions for integrating biological, behavioral, and digital determinants to achieve precision periodontics.
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Identifiers
What 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.