Identifying key risk factors for tooth loss in periodontitis

Summarised from:

Predictors for tooth loss in periodontitis patients: Systematic review and meta-analysis
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.13118)

Authors:

Omar Helal, Gerd Göstemeyer, Joachim Krois, Karim Fawzy El Sayed, Christian Graetz, Falk Schwendicke

Summarised by:

Dr Dominika Antoniszczak

Research Topic:

Background + Aims

  • Periodontitis is a widespread chronic disease that can lead to tooth loss if untreated. Tooth loss impacts individuals’ quality of life and generates substantial healthcare costs.
  • Identifying predictors of tooth loss helps dentists plan treatments, manage risk, and communicate prognosis to patients. Predictors include both patient-level factors (e.g., age, smoking, diabetes) and tooth-level factors (e.g., bone loss, mobility).
  • Previous studies report varying results about which predictors are significant and their magnitude of association with tooth loss.
  • This study aimed to systematically review and analyse data on predictors of tooth loss in periodontitis patients receiving active periodontal treatment (APT) followed by supportive periodontal treatment (SPT). The aim was to evaluate consistency and strength of associations between predictors and tooth loss.

Materials + Methods

  • Systematic review and meta-analysis of 20 longitudinal studies with a mean follow-up of 12 years.
  • Inclusion criteria:
    • Studies involving dentate individuals diagnosed with periodontitis, treated with APT and SPT for at least 3 years.
    • Reported associations between predictors and tooth loss using statistical models, including odds ratios (OR) or risk ratios (RR).
  • Predictors examined:
    • Patient-level: Age, compliance with treatment, smoking, diabetes, gender, IL-1 polymorphism.
    • Tooth-level: Bone loss, probing pocket depth (PPD), furcation involvement, tooth mobility, tooth type (e.g., molars), and endodontic treatment.
  • Data was extracted on study characteristics, predictors, and outcomes were extracted by 2 reviewers independently.

Results

  • Patient-level predictors with significant associations were found for:
    • Smoking (OR: 1.98, 95% CI: 1.58–2.48).
    • Diabetes (OR: 1.80, 95% CI: 1.26–2.57).
    • Non-compliance (OR: 1.51, 95% CI: 1.06–2.16).
    • Older age increased risk (OR: 1.05 per year, 95% CI: 1.03–1.08).
    • Gender showed no significant association (OR: 0.95, 95% CI: 0.86–1.05).
  • Tooth-level predictors with significant associations included:
    • Bone loss (OR: 1.04 per %, 95% CI: 1.03–1.05).
    • High probing pocket depth (PPD) (OR: 3.19, 95% CI: 1.70–5.98).
    • Tooth mobility (OR: 3.71, 95% CI: 1.65–8.38).
    • Molar tooth-type (OR: 4.22, 95% CI: 2.12–8.39), especially with furcation involvement (OR: 2.68, 95% CI: 1.75–4.08).
    • Endodontic treatment did not show significant association (OR: 3.62, 95% CI: 0.99–13.2).
  • Tooth-level predictors demonstrated stronger and more consistent associations with tooth loss compared to patient-level predictors.

Limitations

  • The study included a highly selective population (patients attending long-term SPT), which may not represent all patients with periodontitis.
  • Significant heterogeneity was noted among studies due to differences in definitions of predictors, treatment protocols, and baseline characteristics.
  • The meta-analysis included only studies published in English, which may introduce publication bias.
  • Results for some predictors, such as IL-1 polymorphism, were based on limited data, reducing generalisability.
  • While tooth loss was the primary outcome, it may result from non-periodontal causes (e.g., endodontic issues), which were not always distinguished.
  • The findings may not be applicable to patients in general dental practice or those not receiving regular periodontal care.

Conclusion

  • Tooth loss in periodontitis is influenced by both patient-level and tooth-level factors. Key predictors include smoking, diabetes, non-compliance, older age, bone loss, probing depth, tooth mobility, and molar involvement.
  • Tooth-level factors showed stronger associations with tooth loss than patient-level factors.
  • The findings emphasise the importance of tailored risk assessment in periodontitis management to improve treatment outcomes and prevent tooth loss.
Read the full article Back to Research

Research  |  26.04.19

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