An Assessment of Survival Rates and Within-patient Clustering of Failures for Endosseous Oral Implants
dc.contributor.author | Weyant, Robert J. | en_US |
dc.contributor.author | Burt, Brian A. | en_US |
dc.date.accessioned | 2010-04-13T19:49:52Z | |
dc.date.available | 2010-04-13T19:49:52Z | |
dc.date.issued | 1993 | en_US |
dc.identifier.citation | Weyant, R.J.; Burt, B.A. (1993). "An Assessment of Survival Rates and Within-patient Clustering of Failures for Endosseous Oral Implants." Journal of Dental Research 1(72): 2-8. <http://hdl.handle.net/2027.42/67808> | en_US |
dc.identifier.issn | 0022-0345 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/67808 | |
dc.description.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 (p = 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. These findings also suggest the existence of systemic factors which affect the survival of all implants within a given patient and may lead to multiple implant failures. Identification of these systemic factors may lead to improvements in patient selection and increases in the success rates for oral implants. Finally, results show that pure titanium implants had better short-term survival rates, but worse long-term survival rates, when compared with implants that had some other form of surface coating. | en_US |
dc.format.extent | 3108 bytes | |
dc.format.extent | 928233 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.publisher | SAGE Publications | en_US |
dc.title | An Assessment of Survival Rates and Within-patient Clustering of Failures for Endosseous Oral Implants | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Dentistry | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Public Health, The University of Michigan, Ann Arbor, Michigan 48109-2029 | en_US |
dc.contributor.affiliationother | Department of Public Health and Community Dentistry, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania15261, VA Medical Center, Highland Drive, Pittsburgh, Pennsylvania | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/67808/2/10.1177_00220345930720010201.pdf | |
dc.identifier.doi | 10.1177/00220345930720010201 | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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