ArticleJournal of clinical periodontology2022
Comparison of the efficacy of periodontal prognostic systems in predicting tooth loss.
Article in Journal of clinical periodontology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Relevance of Prognosis Tools in Periodontitis: A Systematic Review.Oral health & preventive dentistry · 2025Pooled it
- Can Artificial Intelligence Match Human Expertise in Long-Term Periodontal Prognosis? A Comparative Accuracy Study.Journal of clinical periodontology · 2026Article
- Alcohol intake patterns, stress exposures and oral health in treatment seeking individuals with alcohol use disorder.Frontiers in oral health · 2026Article
- Multi-Centre External Validation of a Nomogram for 10-Year Periodontal Tooth Loss Prediction.Journal of clinical periodontology · 2025Article
- Association between asthma and periodontitis: A case-control analysis of risk factors, related medications, and allergic responses.Journal of periodontal research · 2025Article
- Toward Digital Periodontal Health: Recent Advances and Future Perspectives.Bioengineering (Basel, Switzerland) · 2024Review
- Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment.Journal of personalized medicine · 2022Review
- Comparison of the efficacy of periodontal prognostic systems in predicting tooth loss.Journal of clinical periodontology · 2022Article
- "Tooth GenAI:" Artificial intelligence integration for periodontal regeneration and dental treatment planning.Journal of Indian Society of PeriodontologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
Abstract
aimThe aim of this analysis was to assess how different tooth-prognosis systems could predict tooth loss in a cohort of periodontitis patients followed up prospectively during supportive periodontal care (SPC). MATERIALS AND
methodsClinical and radiographic data of 97 patients undergoing regular SPC for 5 years were used to assign tooth prognosis using four different systems (McGuire & Nunn, 1996; Kwok & Caton, 2007; Graetz et al., 2011; Nibali et al., 2017). Three independent examiners assigned tooth prognosis using all four systems, following a calibration exercise. The association between prognostic categories and tooth loss was tested for each prognostic system separately and across prognostic systems.
resultsAll four systems showed good reproducibility and could identify teeth at higher risk of being lost during 5 years of SPC; the risk of tooth loss increased with the worsening of tooth-prognosis category (p < .0001). Although specificity and negative predictive values were good, low sensitivity and positive predictive values were detected for all systems.
conclusionsPreviously published periodontal prognostic systems exhibited good reproducibility and predictive ability for tooth retention. However, low sensitivity was detected, with several teeth in the worst prognosis category being retained at 5 years. Some modifications in the number of categories and their definitions are suggested.
Indexed as
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.