Residual Pockets as an Endpoint on Periodontal Disease Progression in Supportive Periodontal Care

AIM: To investigate whether the number of residual probing pocket depths (PPDs) ≥ 5 mm predicts periodontitis progression in non-smoking patients undergoing supportive periodontal care (SPC). MATERIALS AND METHODS: This retrospective study included 121 patients (3028 teeth), with Stage III/IV, Grade B/C periodontitis, who completed active periodontal therapy and were enrolled in SPC. Multivariable logistic regression with inverse probability censoring weighting assessed the association between the number of residual sites with PPD ≥ 5 mm at the start of SPC and disease progression at 1-year and 5-year intervals. Receiver operating characteristic (ROC) curve analysis was used to identify optimal thresholds for predicting progression. RESULTS: Each additional site with PPD ≥ 5 mm at the start of SPC was associated with higher odds of disease progression (≥ 2 mm PPD increase at any site) after 1 year (adjusted OR: 1.15; 95% CI: 1.05-1.29). For periodontal tooth loss, each additional PPD ≥ 5 mm site increased the odds by 11% over 5 years. ROC analysis suggested that ≥ 6 residual sites provided the best discrimination for predicting 1-year PD progression (AUC: 0.73). CONCLUSION: Six or more residual PPDs ≥ 5 mm at SPC were associated with short-term disease progression, although the performance was modest.

Authors

Institutions

Publication Details

Journal
Journal Of Clinical Periodontology
Published
2026-04-06
DOI
https://doi.org/10.1111/jcpe.70126
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Residual Pockets as an Endpoint on Periodontal Disease Progression in Supportive Periodontal Care

Stella Jinran Zhan, Philip M. Preshaw, Ethan Ng, Seyed Ehsan Saffari et al.
Journal Of Clinical Periodontology
Oral microbiology and periodontitis research
article

Residual Pockets as an Endpoint on Periodontal Disease Progression in Supportive Periodontal Care

Stella Jinran Zhan, Philip M. Preshaw, Ethan Ng, Seyed Ehsan Saffari, R Pamela López, John Rong Hao Tay, Dawn Shu Fen Siow
article en

Abstract

AIM: To investigate whether the number of residual probing pocket depths (PPDs) ≥ 5 mm predicts periodontitis progression in non-smoking patients undergoing supportive periodontal care (SPC). MATERIALS AND METHODS: This retrospective study included 121 patients (3028 teeth), with Stage III/IV, Grade B/C periodontitis, who completed active periodontal therapy and were enrolled in SPC. Multivariable logistic regression with inverse probability censoring weighting assessed the association between the number of residual sites with PPD ≥ 5 mm at the start of SPC and disease progression at 1-year and 5-year intervals. Receiver operating characteristic (ROC) curve analysis was used to identify optimal thresholds for predicting progression. RESULTS: Each additional site with PPD ≥ 5 mm at the start of SPC was associated with higher odds of disease progression (≥ 2 mm PPD increase at any site) after 1 year (adjusted OR: 1.15; 95% CI: 1.05-1.29). For periodontal tooth loss, each additional PPD ≥ 5 mm site increased the odds by 11% over 5 years. ROC analysis suggested that ≥ 6 residual sites provided the best discrimination for predicting 1-year PD progression (AUC: 0.73). CONCLUSION: Six or more residual PPDs ≥ 5 mm at SPC were associated with short-term disease progression, although the performance was modest.

Journal Of Clinical Periodontology
Pontificia Universidad Católica de Chile (CL), Queen Mary University of London (GB), University of Dundee (GB), Newcastle Dental Hospital (GB), Duke-NUS Medical School (SG), National Dental Centre of Singapore (SG), University of Bergen (NO)
National Medical Research Council
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
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.