ArticleJournal of periodontology2017
Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification.
Article in Journal of periodontology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Association between periodontitis and acute myocardial infarction: a systematic review and meta-analysis.BMC oral health · 2026Pooled it
- Unsupervised phenotyping of the periodontal architecture through high-dimensional clustering of electronic health records: A multicenter study.Journal of periodontology · 2026Article
- Preterm birth and birth weight extremes are associated with periodontal disease and tooth loss in the ARIC study.Scientific reports · 2026Article
- Observational
- Age, race, and education as moderators of post-stroke cognitive decline following dental care.Frontiers in stroke · 2026Article
- Combined Influence of Dental Caries and Periodontal Disease on Ischemic Stroke Risk.Neurology open access · 2025Article
- Periodontal Disease Independently Associated With White Matter Hyperintensity Volume: A Measure of Cerebral Small Vessel Disease.Neurology open access · 2025Article
- Inflammasome targeting for periodontitis prevention is sex dependent.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Psychosocial Profiles of Older Adults by Dentition Status and Dental Utilisation History.Community dentistry and oral epidemiology · 2025Article
- Article
- Association of Dental Infections with Intracranial Atherosclerotic Stenosis.Cerebrovascular diseases (Basel, Switzerland) · 2024Article
- Subtypes of early childhood caries predict future caries experience.Community dentistry and oral epidemiology · 2023Article
- Antepartum periodontitis treatment and risk of offspring screening positive for autism spectrum disorder.Journal of perinatology : official journal of the California Perinatal Association · 2023Article
- Comparison of the efficacy of periodontal prognostic systems in predicting tooth loss.Journal of clinical periodontology · 2022Article
- Periodontal disease measures and risk of incident peripheral artery disease: The Atherosclerosis Risk in Communities (ARIC) Study.Journal of periodontology · 2022Article
- The prospective association between periodontal disease and brain imaging outcomes: The Atherosclerosis Risk in Communities study.Journal of clinical periodontology · 2022Article
- Evaluating clinical utility of subgingival and salivary endotoxin activity levels as periodontal biomarkers.Frontiers in oral health · 2022Article
- Fibrin is a critical regulator of neutrophil effector function at the oral mucosal barrier.Science (New York, N.Y.) · 2021Article
- Distinct Microbial Signatures between Periodontal Profile Classes.Journal of dental research · 2021Article
- Periodontitis and Risk of Diabetes in the Atherosclerosis Risk In Communities (ARIC) Study: A BMI-Modified Association.The Journal of clinical endocrinology and metabolism · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe goal of this study is to use bioinformatics tools to explore identification and definition of distinct periodontal and tooth profile classes (PPCs/TPCs) among a cohort of individuals by using detailed clinical measures at the tooth level, including both periodontal measurements and tooth loss.
methodsFull-mouth clinical periodontal measurements (seven clinical parameters) from 6,793 individuals from the Dental Atherosclerosis Risk in Communities Study (DARIC) were used to identify PPC. A custom latent class analysis (LCA) procedure was developed to identify clinically distinct PPCs and TPCs. Three validation cohorts were used: NHANES (2009 to 2010 and 2011 to 2012) and the Piedmont Study population (7,785 individuals).
resultsThe LCA method identified seven distinct periodontal profile classes (PPCs A to G) and seven distinct tooth profile classes (TPCs A to G) ranging from health to severe periodontal disease status. The method enabled identification of classes with common clinical manifestations that are hidden under the current periodontal classification schemas. Class assignment was robust with small misclassification error in the presence of missing data. The PPC algorithm was applied and confirmed in three distinct cohorts.
conclusionsThe findings suggest PPC and TPC using LCA can provide robust periodontal clinical definitions that reflect disease patterns in the population at an individual and tooth level. These classifications can potentially be used for patient stratification and thus provide tools for integrating multiple datasets to assess risk for periodontitis progression and tooth loss in dental patients.
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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.