Literature DB >> 8380286

An assessment of survival rates and within-patient clustering of failures for endosseous oral implants.

R J Weyant1, B A Burt.   

Abstract

This study examined endosseous cylinder implant survival, defined as the unqualified presence of the implant in the mouth at the end of the observation period, in 598 consecutive VA patients, with a total of 2098 implants. Data were taken from the Department of Veterans Affairs (VA) Dental Implant Registry, which has maintained longitudinal data on the survival of individual dental implants in VA patients since 1987. The maximum time of observation in any one patient was 2040 days (5.6 yr). Survival analysis by use of life-table methods was carried out on both an implant- and a patient-specific basis. Implant cases were accrued randomly, and therefore a random censoring model was used. A correlated binomial model was used for assessment of the degree of within-patient clustering of implant removals. Results showed that the implant-specific survival rate during the longest time interval (5.6 yr) was 89.9%; the patient-specific implant survival rate during the same time was 78.2%. Among implants which were removed, the mean time to removal was 292 days. The hazard function, which describes the probability of implant loss as a function of time, decreased steadily throughout the observation period. The correlated binomial model suggested a clustering of removals within patients with multiple implants (rho = 0.11, p = 0.0001). The odds of having a second implant removed were 1.3 times greater if the patient had already had one implant removed. This study suggests that when implants fail, they do so soon after placement, and the likelihood of failure decreases steadily from implantation through the first five years post-surgery.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8380286     DOI: 10.1177/00220345930720010201

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  8 in total

1.  Influence of MMP-8 promoter polymorphism in early osseointegrated implant failure.

Authors:  F R Costa-Junior; C C Alvim-Pereira; F Alvim-Pereira; P C Trevilatto; A P de Souza; Maria Cristina L G Santos
Journal:  Clin Oral Investig       Date:  2012-03-02       Impact factor: 3.573

2.  Current Concepts on the Pathogenesis of Peri-implantitis: A Narrative Review.

Authors:  Ioannis Fragkioudakis; Georgia Tseleki; Aikaterini-Elisavet Doufexi; Dimitra Sakellari
Journal:  Eur J Dent       Date:  2021-03-19

Review 3.  Association of interleukin-1 gene polymorphism and early crestal bone loss around submerged dental implants: A systematic review and meta-analysis.

Authors:  Kaushal Kishor Agrawal; Mohd Anwar; Charu Gupta; Pooran Chand; Saumyendra Vikram Singh
Journal:  J Indian Prosthodont Soc       Date:  2021 Apr-Jun

4.  Investigation of pathogenic genes in peri-implantitis from implant clustering failure patients: a whole-exome sequencing pilot study.

Authors:  Soohyung Lee; Ji-Young Kim; Jihye Hwang; Sanguk Kim; Jae-Hoon Lee; Dong-Hoo Han
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

5.  The seven-year cumulative survival rate of Osstem implants.

Authors:  Young-Kyun Kim; Bum-Su Kim; Pil-Young Yun; Sang-Un Mun; Yang-Jin Yi; Su-Gwan Kim; Kyung-In Jeong
Journal:  J Korean Assoc Oral Maxillofac Surg       Date:  2014-04-28

6.  Design and Evaluation of Web-Based Dental Implant Registry (DIR) for Better Clinical Outcomes.

Authors:  Roya Naemi; Majid Jangi; Hamid Reza Barikani; Leila Shahmoradi
Journal:  Int J Biomater       Date:  2022-02-11

7.  A New Classification for the Relationship between Periodontal, Periapical, and Peri-implant Complications.

Authors:  Mahdi Kadkhodazadeh; Reza Amid
Journal:  Iran Endod J       Date:  2013-08-01

8.  Weighted gene co-expression network analysis (WGCNA) to explore genes responsive to Streptococcus oralis biofilm and immune infiltration analysis in human gingival fibroblasts cells.

Authors:  Xia Chen; Jianfeng Ma
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  8 in total

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