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Standardized multi-institutional data analysis of fixed and removable prosthesis: estimation of life expectancy with regards to variable risk factors

  • Hae-In Jeon (Department of Prosthodontics, College of Dentistry, Yonsei University) ;
  • Joon-Ho Yoon (Department of Prosthodontics, NHIS Ilsan Hospital) ;
  • Jeong Hoon Kim (Department of Prosthodontics, College of Dentistry, Yonsei University) ;
  • Dong-Wook Kim (Department of Information and Statistics, Research Institute of Natural Science, Gyeongsang National University) ;
  • Namsik Oh (Department of Dentistry, School of Medicine, Inha University) ;
  • Young-Bum Park (Department of Prosthodontics, College of Dentistry, Yonsei University)
  • Received : 2023.10.14
  • Accepted : 2024.03.19
  • Published : 2024.04.30

Abstract

PURPOSE. This study aims to assess and predict lifespan of dental prostheses using newly developed Korean Association of Prosthodontics (KAP) criteria through a large-scale, multi-institutional survey. MATERIALS AND METHODS. Survey was conducted including 16 institutions. Cox proportional hazards model and principal component analysis (PCA) were used to find out relevant factors and predict life expectancy. RESULTS. 1,703 fixed and 815 removable prostheses data were collected and evaluated. Statistically significant factors in fixed prosthesis failure were plaque index and material type, with a median survival of 10 to 18 years and 14 to 20 years each. In removable prosthesis, factors were national health insurance coverage, antagonist type, and prosthesis type (complete or partial denture), with median survival of 10 to 13 years, 11 to 14 years, and 10 to 15 years each. For still-usable prostheses, PCA analysis predicted an additional 3 years in fixed and 4.8 years in removable prosthesis. CONCLUSION. Life expectancy of a prosthesis differed significantly by factors mostly controllable either by dentist or a patient. Overall life expectancy was shown to be longer than previous research.

Keywords

Acknowledgement

This research was supported by Korea Health Technology R&D Project through the Korea Health Indstry Development Institute (KHIDI) and funded by the Ministry of Health and Welfare, Republic of Korea (grant number: HC16C2335).

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