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Tooth loss in Periodontitis: how valuable are the predictors?
Shalini Gugnani1, Neeraj Gugnani2
1Department of Periodontics and Oral Implantology, DAV (C) Dental College Yamunanagar, Haryana, India.
Evidence-Based Dentistry
|March 30, 2020
Summary
This review found that patient and tooth-level factors strongly predict tooth loss. Tooth-level factors, such as bone loss and pocket depth, showed a stronger association than patient-level factors like age or diabetes.
Area of Science:
- Periodontology
- Dental Public Health
- Epidemiology
Background:
- Tooth loss is a significant concern in dental health.
- Identifying predictors of tooth loss is crucial for effective prevention and treatment planning.
Purpose of the Study:
- To systematically review and meta-analyze predictors associated with tooth loss.
- To determine the relative impact of patient-level versus tooth-level factors on tooth loss.
Main Methods:
- A comprehensive literature search was conducted across Medline, Embase, and Cochrane Central databases.
- Included studies were observational and interventional with a minimum 3-year follow-up, reporting odds/risk ratios for tooth loss predictors.
- Meta-analysis and meta-regression were employed to synthesize data from 20 studies involving 15,422 participants.
Main Results:
- Strong associations with tooth loss were identified for patient-level predictors including age, diabetes, and smoking, and tooth-level predictors such as bone loss, pocket depth, and furcation involvement.
- Sex and endodontic involvement were exceptions, showing weaker associations.
- Tooth-level factors demonstrated a stronger overall association with tooth loss compared to patient-level factors.
Conclusions:
- Most identified patient and tooth-level predictors are strongly associated with tooth loss.
- These findings can inform dentists in developing effective treatment and prevention strategies.
- Tooth-level factors appear to be more influential in predicting tooth loss than patient-level factors.
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