Literature DB >> 20491819

Factors associated with failure of surface-modified implants up to four years of function.

Jan Cosyn1, Edward Vandenbulcke, Hilde Browaeys, Georges Van Maele, Hugo De Bruyn.   

Abstract

OBJECTIVES: The relative impact of innovative treatment concepts on the failure of surface-modified implants is not well understood. This retrospective study aimed to explore this using data obtained in a university postgraduate training center.
MATERIAL AND METHODS: Patients treated with implants for a variety of indications over a 3-year period were included. All implants had been at least 1 year in function. Clinical records were evaluated for implant failure and in reference to implant length/diameter/location, time from tooth loss to implant placement, bone condition (native/grafted), surgical protocol (two-/one-stage), loading protocol (delayed/early/immediate), type of prosthesis (removable/fixed), surgeon's experience level (resident/trainee) and specialty (periodontist/oral surgeon). The impact of each covariate on failure was tested using the Fisher's exact test. Kaplan-Meier survival functions were constructed and Mantel-Cox log-rank tests were used to compare survival functions. To correct for possible interaction, Cox proportional Hazards regression was adopted.
RESULTS: Forty-one of 1,180 (3.5%) implants were lost in 34/461 (7.4%) patients (245 ♀, 216 ♂; mean age 51, range 18-90). Factors showing significant impact on failure on the basis of univariate analyses were implant location (p = .015), surgical protocol (p = .002), loading protocol (p = .002), surgeon's experience level (p = .035) and specialty (p = .001). When controlling for other covariates, only the loading protocol had a significant influence (p = .049) with early loading more prone to failure (p = .014) when compared with delayed loading. Immediate loading and delayed loading showed comparable implant survival (p = .311).
CONCLUSIONS: Implant therapy may be highly successful in a training center where inexperienced clinicians are strictly monitored and personally guided. Implant specific variables do not affect implant survival but early loading is a risk indicator for implant failure, whereas immediate loading is not.
© 2010 Wiley Periodicals, Inc.

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Year:  2010        PMID: 20491819     DOI: 10.1111/j.1708-8208.2010.00282.x

Source DB:  PubMed          Journal:  Clin Implant Dent Relat Res        ISSN: 1523-0899            Impact factor:   3.932


  4 in total

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Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

2.  An 11-Year Retrospective Research Study of the Predictive Factors of Peri-Implantitis and Implant Failure: Analytic-Multicentric Study of 1279 Implants in Peru.

Authors:  Frank Mayta-Tovalino; Yens Mendoza-Martiarena; Percy Romero-Tapia; María Álvarez-Paucar; Luis Gálvez-Calla; Juan Calderón-Sánchez; Rodolfo Bolaños-Cardenas; Antonio Diaz-Sarabia
Journal:  Int J Dent       Date:  2019-06-24

3.  Smoking, radiotherapy, diabetes and osteoporosis as risk factors for dental implant failure: a meta-analysis.

Authors:  Hui Chen; Nizhou Liu; Xinchen Xu; Xinhua Qu; Eryi Lu
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

Review 4.  Dental Implants Inserted in Fresh Extraction Sockets versus Healed Sites: A Systematic Review and Meta-Analysis.

Authors:  Adam Ibrahim; Bruno Ramos Chrcanovic
Journal:  Materials (Basel)       Date:  2021-12-20       Impact factor: 3.623

  4 in total

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