Literature DB >> 27624214

Effect of prosthetic restoration on implant survival and success.

Peter Rammelsberg1, Justo Lorenzo-Bermejo2, Stefanie Kappel1.   

Abstract

PURPOSE: The objective of this work was to evaluate the effect of prosthetic restoration on the survival of implants and on the incidence of implant-related complications.
MATERIAL AND METHODS: From a prospectively documented clinical study, 1569 implants placed in 630 patients (mean age 59.56 years) were evaluated. Selection criteria were a conventional loading protocol, prosthetic restoration with at least one follow-up, and a minimum observation period of 9 months. Implants that failed before prosthetic restoration were excluded. The sample included 1345 tissue-level implants and 104 bone-level implants (Straumann), and 120 Replace implants (Nobel Biocare). The observation period ranged between 9 months and 11 years after prosthetic restoration (mean 4.0 years; SD 2.5). The implants were restored with single crowns (n = 557), fixed dental prostheses (n = 594), or removable dental prostheses (RDP) (n = 418). In the RDP group, 356 implants were restored with telescoping crowns, 22 with bar units 24 with bar joints, and 16 with locator attachments. The incidence of implant-related complications and failures was analyzed by use of Kaplan-Meier survival curves. Cox regression analysis was used to identify possible risk factors.
RESULTS: Twenty-seven failures (1.8%; loosened or removed implants) were observed after prosthetic restoration; the incidence of failure was 3% for implants placed in males and 1% for implants placed in females. Other factors had no effect on the incidence of failure. Peri-implantitis (n = 29) and marginal bone loss >2 mm without acute inflammation (n = 6) also resulted in a 4% incidence of severe implant-related complications (62 of 1569; success 96%). Cox regression analysis revealed combined tooth-implant-supported restorations as a significant risk-reducing factor for severe implant-related complications (hazard ratio, HR = 0.34; P = 0.04). There was, furthermore, a tendency toward a greater incidence of complications for implants restored with RDPs than for single crowns (P = 0.08). Other factors, for example location (anterior/posterior, maxilla/mandible), age, sex, or implant placement combined with bone augmentation, had no significant effect on the incidence of implant-related complications (P values ranging between 0.16 and 0.94).
CONCLUSIONS: The type of support has a small but significant effect on implant prognosis. For detailed analysis of the effects of loading by different types of prosthetic restoration, larger sample sizes are required.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  clinical research; clinical trials; prosthodontics; statistics

Mesh:

Year:  2016        PMID: 27624214     DOI: 10.1111/clr.12974

Source DB:  PubMed          Journal:  Clin Oral Implants Res        ISSN: 0905-7161            Impact factor:   5.977


  5 in total

1.  [Criteria for success in dental implants].

Authors:  Yi Man; Hai-Yang Yu; Zuo-Lin Wang; Yao Wu; Bang-Cheng Yang; Lei Cheng; Xue-Dong Zhou; Yao Sun
Journal:  Hua Xi Kou Qiang Yi Xue Za Zhi       Date:  2019-02-01

2.  Effect of periodontitis history on implant success: a long-term evaluation during supportive periodontal therapy in a university setting.

Authors:  Christian Graetz; Karim Fawzy El-Sayed; Antje Geiken; Anna Plaumann; Sonja Sälzer; Eleonore Behrens; Jörg Wiltfang; Christof E Dörfer
Journal:  Clin Oral Investig       Date:  2017-03-28       Impact factor: 3.573

3.  Removable denture is a risk indicator for peri-implantitis and facilitates expansion of specific periodontopathogens: a cross-sectional study.

Authors:  Jasmin Grischke; Szymon P Szafrański; Uthayakumar Muthukumarasamy; Susanne Haeussler; Meike Stiesch
Journal:  BMC Oral Health       Date:  2021-04-01       Impact factor: 2.757

4.  Influence of Periodontitis, Implant, and Prosthesis Characteristics on the Peri-Implant Status: A Cross-Sectional Study.

Authors:  Ioanna Papalou; Panagiota Vagia; Ahmet Cakir; Henri Tenenbaum; Olivier Huck; Jean-Luc Davideau
Journal:  Int J Dent       Date:  2022-02-07

5.  Multivariate analysis of the influence of peri-implant clinical parameters and local factors on radiographic bone loss in the posterior maxilla: a retrospective study on 277 dental implants.

Authors:  Mariane B Sordi; Vittoria Perrotti; Flavia Iaculli; Keila C R Pereira; Ricardo S Magini; Stefan Renvert; Stefano Antonio Gattone; Adriano Piattelli; Marco A Bianchini
Journal:  Clin Oral Investig       Date:  2020-11-05       Impact factor: 3.573

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.