Risk prediction models for oral frailty in older adults: a scoping review - Scorecard - DentalSpire

Risk prediction models for oral frailty in older adults: a scoping review

  • By

  • Yongjun Chen

  • Huixian Tang

  • Bo Li

  • Liping Yuan

  • July 10, 2026

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Clinical Scorecard: Models for Predicting Oral Frailty in Elderly Populations: A Comprehensive Scoping Review

At a Glance

CategoryDetail
ConditionOral Frailty
Key MechanismsAge-related decline in oral function associated with systemic functional decline.
Target PopulationOlder adults aged 60 years or older.
Care SettingCommunity, hospital, rural, and disease-specific settings.

Key Highlights

  • Seventeen studies included, mostly cross-sectional and geographically concentrated in China.
  • Reported proportion of oral frailty ranged from 25.50% to 92.50%.
  • Logistic regression was commonly used for model development; nomograms for display.
  • High overall risk of bias in all studies; limited external validation.
  • Area under the receiver operating characteristic curve ranged from 0.725 to 0.985.

Guideline-Based Recommendations

Diagnosis

  • Oral frailty should be defined and assessed according to specific criteria in each study.

Management

  • Healthcare professionals should use prediction models to identify high-risk individuals for targeted interventions.

Monitoring & Follow-up

  • Future studies should standardize outcome definitions and reporting for better applicability.

Risks

  • High risk of bias and limited generalizability of existing models.

Patient & Prescribing Data

Older adults at risk of oral frailty.

Models may assist in timely screening and risk stratification.

Clinical Best Practices

  • Adopt prospective multicenter designs for future studies.
  • Perform external validation of prediction models before routine implementation.

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