ArticleBMC oral health2026
Development and validation of a nomogram for assessing the risk of periodontitis in youth: a cross-sectional study.
Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundPeriodontitis is becoming increasingly common in youth. However, a validated model for assessing the risk of periodontitis in youth is lacking. This study aimed to identify independent risk factors and develop a nomogram for assessing periodontitis risk in youth within a clinical setting.
methodsIn this cross-sectional study, we recruited 807 participants aged 10–24 from the Periodontology Department of Qingdao Stomatological Hospital (Qingdao, Shandong, China). Data on 16 potential risk factors were collected. The participants were randomly allocated to the training and validation cohorts in a 7:3 ratio. Independent factors were identified via univariate and multivariate logistic regression analysis, which were then used to develop a nomogram for assessing the risk of periodontitis in youth within this clinical setting. The model’s validation and performance were rigorously evaluated using the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), calibration plots, and decision curve analysis (DCA).
resultsMultivariate logistic regression analysis identified age, mouth breathing, impacted teeth, family history, and higher body mass index (BMI) as significant risk factors of periodontitis, while flossing was a protective factor. Accordingly, a nomogram was developed based on these factors as a risk assessing tool for youth in a clinical setting. Both the training and validation cohorts confirmed the nomogram’s strong assessment performance, evidenced by AUC of 0.837 and 0.783, respectively. The model also maintained high sensitivity (91.2% and 86.5%) and NPV (91.5% and 90.8%) across both cohorts. Good calibration was achieved, with Brier scores of 0.162 (95% CI: 0.145–0.179) for the training cohort and 0.177 (95% CI: 0.148–0.207) for the validation cohort. Furthermore, the model’s clinical utility was underscored by the DCA.
conclusionsWe successfully developed and validated the nomogram for assessing the risk of periodontitis in youth within a clinical setting. With its high AUC, this model shows significant potential to support clinical decision-making by identifying high-risk individuals, thereby facilitating targeted evaluation and optimized management in specialist practice.
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.