ArticleJournal of clinical periodontology2019
Development and validation of a predictive model for periodontitis using NHANES 2011-2012 data.
Article in Journal of clinical periodontology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Evidence for platelet-rich fibrin in combination with other regenerative materials for treatment of periodontal furcation defects: a systematic review and meta-analysis.American journal of translational research · 2026Article
- External Validation of Periodontal Screening Using Self-Reports in Dental Settings.Diagnostics (Basel, Switzerland) · 2025Article
- Association of chronic periodontitis in a broad spectrum of cardiometabolic syndrome: A minireview.World journal of cardiology · 2025Review
- Exploring the Nonlinear Relationship Between Dietary Flavonoid Intake and Periodontitis.International dental journal · 2025Article
- Assessment of hygienic knowledge and oral health practices among children under dynamic observation for periodontosis in Aktobe.Journal of preventive medicine and hygiene · 2025Article
- Occurrence ofMicroorganisms · 2024Article
- Systemic Immune-Inflammation Index and Systemic Inflammation Response Index are Associated With Periodontitis: Evidence From NHANES 2009 to 2014.International dental journal · 2024Article
- Association between blood ethylene oxide levels and the prevalence of periodontitis: evidence from NHANES 2013-2014.Clinical oral investigations · 2024Article
- Association between the presence and genotype ofExperimental and therapeutic medicine · 2023Article
- Accuracy of a 7-Item Patient-Reported Stand-Alone Tool for Periodontitis Screening.Journal of clinical medicine · 2021Article
- Relationship between Blood and Standard Biochemistry Levels with Periodontitis in Parkinson's Disease Patients: Data from the NHANES 2011-2012.Journal of personalized medicine · 2020Article
- Alveolar bone loss, platelet and glycosylated haemoglobin levels in 239 patients. A clinical study.Medicina oral, patologia oral y cirugia bucal · 2020Article
- Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics.Journal of big data · 2020Article
- Periodontal Health and Use of Oral Health Services: A Comparison of Germans and Two Migrant Groups.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
aimTo develop and validate a predictive model for moderate-to-severe periodontitis in the adult USA population, with data from the 2011-2012 National Health and Nutrition Examination Survey (NHANES) cycle. MATERIAL AND
methodsA subset of 3017 subjects aged >30 years, with >14 teeth present and having received a periodontal examination in addition to data collected on cardio-metabolic risk measures (smoking habit, body mass index [BMI], blood pressure, total cholesterol and glycated haemoglobin [HbA1c]) were used for model development by multivariable logistic regression.
resultsThe prevalence of moderate and severe periodontitis using CDC/AAP classification was 37.1% and 13.2%, respectively. A multivariable logistic regression model revealed that HbA1c ≥5.7% was significantly associated with moderate-to-severe periodontitis (odds ratio, OR = 1.29; p < 0.01). A predictive model including age, gender, ethnicity, HbA1c and smoking habit as variables had 70.0% sensitivity and 67.6% specificity in detecting moderate-to-severe periodontitis in US adults.
conclusionsPeriodontitis is a common disease in North American adults, and its prevalence is significantly higher in individuals with pre-diabetes or diabetes. The present study demonstrates that a model including age, gender, ethnicity, HbA1c and smoking habit could be used as a reliable screening tool for periodontitis in primary medical care settings to facilitate referral of patients at risk for periodontal examination and diagnosis.
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