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Prediction of lifespan and assessing risk factors of large-sample implant prostheses: a multicenter study

  • Jeong Hoon Kim (Department of Prosthodontics, College of Dentistry, Yonsei University) ;
  • Joon-Ho Yoon (Department of Prosthodontics, NHIS Ilsan Hospital) ;
  • Hae-In Jeon (Department of Prosthodontics, College of Dentistry, Yonsei University) ;
  • Dong-Wook Kim (Department of Information and Statistics, Research Institute of Natural Science, Gyeongsang National University) ;
  • Young-Bum Park (Department of Prosthodontics, College of Dentistry, Yonsei University) ;
  • Namsik Oh (Department of Dentistry, School of Medicine, Inha University)
  • Received : 2024.01.04
  • Accepted : 2024.06.14
  • Published : 2024.06.30

Abstract

PURPOSE. This study aimed to analyze factors influencing the success and failure of implant prostheses and to estimate the lifespan of prostheses using standardized evaluation criteria. An online survey platform was utilized to efficiently gather large samples from multiple institutions. MATERIALS AND METHODS. During the one-year period, patients visiting 16 institutions were assessed using standardized evaluation criteria (KAP criteria). Data from these institutions were collected through an online platform, and various statistical analyses were conducted. Risk factors were assessed using both the Cox proportional hazard model and Cox regression analysis. Survival analysis was conducted using Kaplan-Meier analysis and nomogram, and lifespan prediction was performed using principal component analysis. RESULTS. The number of patients involved in this study was 485, with a total of 841 prostheses evaluated. The median survival was estimated to be 16 years with a 95% confidence interval. Factors found to be significantly associated with implant prosthesis failure, characterized by higher hazard ratios, included the 'type of clinic', 'type of antagonist', and 'plaque index'. The lifespan of implant prostheses that did not fail was estimated to exceed the projected lifespan by approximately 1.34 years. CONCLUSION. To ensure the success of implant prostheses, maintaining good oral hygiene is crucial. The estimated lifespan of implant prostheses is often underestimated by approximately 1.34 years. Furthermore, standardized form, online platform, and visualization tool, such as nomogram, can be effectively utilized in future follow-up studies.

Keywords

Acknowledgement

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

References

  1. Helkimo E, Carlsson GE, Helkimo M. Chewing efficiency and state of dentition. A methodologic study. Acta Odontol Scand 1978;36:33-41. 
  2. Prithviraj DR, Madan V, Harshamayi P, Kumar CG, Vashisht R. A comparison of masticatory efficiency in conventional dentures, implant retained or supported overdentures and implant supported fixed prostheses: a literature review. J Dent Implant 2014;4:153. 
  3. Schwarz MS. Mechanical complications of dental implants. Clin Oral Implants Res 2000;11:156-8. 
  4. Schwartz NL, Whitsett LD, Berry TG, Stewart JL. Unserviceable crowns and fixed partial dentures: lifespan and causes for loss of serviceability. J Am Dent Assoc 1970;81:1395-401. 
  5. Foster LV. Failed conventional bridge work from general dental practice: clinical aspects and treatment needs of 142 cases. Br Dent J 1990;168:199-201. 
  6. Valderhaug J. A 15-year clinical evaluation of fixed prosthodontics. Acta Odontol Scand 1991;49:35-40. 
  7. Papaspyridakos P, Chen CJ, Chuang SK, Weber HP, Gallucci GO. A systematic review of biologic and technical complications with fixed implant rehabilitations for edentulous patients. Int J Oral Maxillofac Implants 2012;27:102-10. 
  8. Di Francesco F, De Marco G, Gironi Carnevale UA, Lanza M, Lanza A. The number of implants required to support a maxillary overdenture: a systematic review and meta-analysis. J Prosthodont Res 2019;63:15-24. 
  9. Pieralli S, Kohal RJ, Rabel K, von Stein-Lausnitz M, Vach K, Spies BC. Clinical outcomes of partial and fullarch all-ceramic implant-supported fixed dental prostheses. A systematic review and meta-analysis. Clin Oral Implants Res 2018;29:224-236. 
  10. Jung RE, Zembic A, Pjetursson BE, Zwahlen M, Thoma DS. Systematic review of the survival rate and the incidence of biological, technical, and aesthetic complications of single crowns on implants reported in longitudinal studies with a mean follow-up of 5 years. Clin Oral Implants Res 2012;23:2-21. 
  11. Sailer I, Karasan D, Todorovic A, Ligoutsikou M, Pjetursson BE. Prosthetic failures in dental implant therapy. Periodontol 2000 2022;88:130-44. 
  12. Raikar S, Talukdar P, Kumari S, Panda SK, Oommen VM, Prasad A. Factors affecting the survival rate of dental implants: a retrospective study. J Int Soc Prev Community Dent 2017;7:351-5. 
  13. Lekholm U, Gunne J, Henry P, Higuchi K, Linden U, Bergstrom C, van Steenberghe D. Survival of the Branemark implant in partially edentulous jaws: a 10-year prospective multicenter study. Int J Oral Maxillofac Implants 1999;14:639-45. 
  14. Scheller H, Urgell JP, Kultje C, Klineberg I, Goldberg PV, Stevenson-Moore P, Alonso JM, Schaller M, Corria RM, Engquist B, Toreskog S, Kastenbaum F, Smith CR. A 5-year multicenter study on implant-supported single crown restorations. Int J Oral Maxillofac Implants 1998;13:212-8. 
  15. Yoon JH, Park YB, Yoo JJ, Youn SH, Oh NS. Establishment of online evaluation system for an analysis on the longevity of dental prostheses. J Korean Acad Adv Gen Dent 2019;8:7-19. 
  16. Yoon JH, Park YB, Youn SH, Oh NS. Korea Academy of Prosthodontics criteria for longevity studies of dental prostheses. J Korean Acad Prosthodont 2016;54:341-53. 
  17. Yonsei University Dental Hospital. Survey for lifetime of dental prosthesis [Internet]. Seoul (KR): Daumsoft; c2017 [cited 2023 Sep 20]. Available from: http://www.prostholife-survey.com/limesurvey. 
  18. Paquette DW, Brodala N, Williams RC. Risk factors for endosseous dental implant failure. Dent Clin North Am 2006;50:361-74. 
  19. Kim Y, Oh TJ, Misch CE, Wang HL. Occlusal considerations in implant therapy: clinical guidelines with biomechanical rationale. Clin Oral Implants Res 2005;16:26-35. 
  20. Sheridan RA, Decker AM, Plonka AB, Wang HL. The role of occlusion in implant therapy: a comprehensive updated review. Implant Dent 2016;25:829-38. 
  21. Messori A, Becagli P, Trippoli S. Median versus mean lifetime survival in the analysis of survival data. Haematologica 1997;82:730. 
  22. Kinsel RP, Lin D. Retrospective analysis of porcelain failures of metal ceramic crowns and fixed partial dentures supported by 729 implants in 152 patients: patient-specific and implant-specific predictors of ceramic failure. J Prosthet Dent 2009;101:388-94. 
  23. Barker C. The mean, median, and confidence intervals of the Kaplan-Meier survival estimate-computations and applications. The American Statistician 2009;63:78-80. 
  24. Ben-Aharon O, Magnezi R, Leshno M, Goldstein DA. Median survival or mean survival: which measure is the most appropriate for patients, physicians, and policymakers? Oncologist 2019;24:1469-78. 
  25. Yang JY, Jeon SY, Lee HS. Prediction models and visualizations according to outcome variables using R-focusing on regression analyses. J Health Info Stat 2022;47:S21-30. 
  26. Abdi H, Williams LJ. Principal component analysis. Wiley interdisciplinary reviews: computational statistics 2010;2:433-59. 
  27. Jia L, Zhang W, Jia R, Zhang H, Chen X. Construction formula of biological age using the principal component analysis. Biomed Res Int 2016;2016:4697017. 
  28. Nakamura E, Miyao K, Ozeki T. Assessment of biological age by principal component analysis. Mech Ageing Dev 1988;46:1-18. 
  29. Mordechai F, Tali C, Jonathan M, Ori P, Yaron B, Ram S, Guy T. The effect of type of specialty (periodontology/oral surgery) on early implant failure: a retrospective "Big-Data" study from a nation-wide dental chain in Israel. Clin Oral Investig 2022;26:6159-63. 
  30. Bakker MH, Vissink A, Raghoebar GM, Visser A. General health status of Dutch elderly receiving implant-retained overdentures: A 9-year big data cross-sectional study. Clin Implant Dent Relat Res 2021;23:228-35. 
  31. Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol 2005;58:323-37. 
  32. Kaplan RM, Chambers DA, Glasgow RE. Big data and large sample size: a cautionary note on the potential for bias. Clin Transl Sci 2014;7:342-6.