The External Validation Trial on the Diagnostic Accuracy of Self‐Reported Measures of Periodontal Disease

AIM: To externally validate a previously developed time- and cost-effective screening tool for screening subjects with different periodontal conditions by combining various questionnaires, demographic data and lifestyle factors, providing a reliable basis for future efforts to promote public awareness of oral/periodontal health and early periodontal care. METHODS: The study consisted of a self-administered questionnaire and a full-mouth periodontal and radiographic examination. External validation was conducted using a representative cohort systematically and randomly selected from the general population of Hong Kong. A modified questionnaire originally proposed by the Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP) was given to participants, and the results were tested against the periodontal case definition based on the 2017 World Workshop Classification of Periodontal Diseases. Accuracy was analysed by multivariate logistic regression, and the area under the receiver operating characteristic curve (AUROC) was calculated. RESULTS: A total of 384 subjects participated in this validation study, including individuals with periodontal health (6.2%), gingivitis (19.3%), Stage I/II periodontitis (19.3%) and Stage III/IV periodontitis (55.2%). The screening model, which integrated the CDC/AAP questionnaire with demographic and lifestyle factors, showed the best performance in detecting both periodontitis and severe periodontitis. For periodontitis detection, the model achieved an AUROC of 0.888, with a sensitivity of 91.1% and specificity of 90.0%. For Stage III/IV periodontitis, it showed an AUROC of 0.899, with a sensitivity of 88.8% and specificity of 77.2%. CONCLUSION: This externally validated model demonstrates acceptable accuracy in identifying periodontitis patients in independent populations, supporting its potential applicability across diverse community settings.

Authors

Institutions

Publication Details

Journal
Journal Of Clinical Periodontology
Published
2026-10-05
DOI
https://doi.org/10.1111/jcpe.70208
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The External Validation Trial on the Diagnostic Accuracy of Self‐Reported Measures of Periodontal Disease

Lijian Jin, Ke Deng, Maurizio S. Tonetti, Sy Lam et al.
Journal Of Clinical Periodontology
Oral microbiology and periodontitis research
article

The External Validation Trial on the Diagnostic Accuracy of Self‐Reported Measures of Periodontal Disease

Lijian Jin, Ke Deng, Maurizio S. Tonetti, Sy Lam, George Pelekos, Julie Choi Ka Kung
article en

Abstract

AIM: To externally validate a previously developed time- and cost-effective screening tool for screening subjects with different periodontal conditions by combining various questionnaires, demographic data and lifestyle factors, providing a reliable basis for future efforts to promote public awareness of oral/periodontal health and early periodontal care. METHODS: The study consisted of a self-administered questionnaire and a full-mouth periodontal and radiographic examination. External validation was conducted using a representative cohort systematically and randomly selected from the general population of Hong Kong. A modified questionnaire originally proposed by the Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP) was given to participants, and the results were tested against the periodontal case definition based on the 2017 World Workshop Classification of Periodontal Diseases. Accuracy was analysed by multivariate logistic regression, and the area under the receiver operating characteristic curve (AUROC) was calculated. RESULTS: A total of 384 subjects participated in this validation study, including individuals with periodontal health (6.2%), gingivitis (19.3%), Stage I/II periodontitis (19.3%) and Stage III/IV periodontitis (55.2%). The screening model, which integrated the CDC/AAP questionnaire with demographic and lifestyle factors, showed the best performance in detecting both periodontitis and severe periodontitis. For periodontitis detection, the model achieved an AUROC of 0.888, with a sensitivity of 91.1% and specificity of 90.0%. For Stage III/IV periodontitis, it showed an AUROC of 0.899, with a sensitivity of 88.8% and specificity of 77.2%. CONCLUSION: This externally validated model demonstrates acceptable accuracy in identifying periodontitis patients in independent populations, supporting its potential applicability across diverse community settings.

Journal Of Clinical Periodontology
Shanghai Jiao Tong University (CN), Shanghai Stomatological Hospital (CN), Shanghai Ninth People's Hospital (CN), University of Hong Kong (HK)
Openalex Percentile: Top 9%
Oral microbiology and periodontitis research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.