Success, Survival and Prognostic Factors in Implant Prosthesis: Experimental Study
E. Ettore, P. Maria, C. Nunziata, P. Ausiello
Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Naples, Italy
© 2023 Ettore E, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2024 The Author(s). Published by Elsevier Inc. on behalf of International Association of Oral and Maxillofacial Surgeons.
Abstract
The primary objective of this study was to detect the success and short-term survival rate of dental implant prosthetic therapy.
The valuation of a possible relationship between the general and local clinical conditions of the patients (presence of risk factors and type of dental implant-supported prosthesis) and the satisfaction perceived by the patient, with success and survival of implant devices was investigated. The sample trial consisted of 23 patients, for a total of 50 dental implants supporting a prosthetic therapy. Preliminarily, an analysis of averages and frequencies of the anamnestic data was presented, as numbers and percentages. The implant success rate was calculated by assessing whether the implants fulfi lled the success criteria defi ned by the Pisa Consensus Conference. The ANOVA test was used to check whether there was an association between the success of the implant device, the anamnestic data collected, and the type of prosthesis supported by the implants. Finally, the survival rate was calculated using the Kaplan – Meier method. The 2-year success rate of 50 implants was assessed at 98%. The 2-year survival rate was 97%. Finally, sex, age, compensated diabetes, a smaller and equal number of cigarettes per day (10 per day), the BOP, and the type of titanium dental implants supported by prosthesis, do not determine a change in success and are therefore not adequate parameters to predict the outcome of implant success. Following the results obtained, it is appropriate to continue the research by expanding the clinical observation times in order to obtain more solid scientifi c and clinical
evidence
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