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Implant Outcome (implant + outcome)
Selected AbstractsA Study on Variances in Multivariate Analyses of Oral Implant OutcomeCLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH, Issue 1 2007Irene Herrmann LDS, Odont Lic ABSTRACT Background:, Elaborate studies have shown that interdependency exists between implants being placed in the same patient/jaw. Therefore, interdependency ought to be an important aspect to address, whenever performing statistical analyses of oral implant outcomes. A Jackknife method could be an option when conducting statistical evaluations of oral implant failure prognoses. Purpose:, The aim of this study was to evaluate whether a statistical difference can be detected by using the Jackknife method in conjunction with life table analyses and/or a log rank test of four different combinations of jaw density and quantity. Materials and Methods:, Four multicenter studies were pooled and adjusted in order to create a research database consisting of 486 patients and 1,737 implants in preparation for the Jackknife resampling method. Combinations of jaw shapes and bone qualities were constructed to select at-risk patients. Statistical Methods:, Life tables with confidence intervals were calculated and a log rank test was used to determine whether a statistical difference between the combinations could be established. Results:, Both statistical analyses, after the Jackknife resampling method, showed that patients with poor bone quality and resorbed jaws (combination IV) had a statistically higher risk of implant failure. Conclusion:, By rearranging data using the Jackknife method, standardized statistical tests seem to work well even when the study population tested was affected by interdependency. [source] Immediate Functional Loading of Single-Tooth TIO2 Grit-Blasted Implant Restorations: A Controlled Prospective Study in a Porcine Model.CLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH, Issue 4 2007Part I: Clinical Outcome ABSTRACT Background:, Although favorable integration occurs with immediately loaded implants, the relationship between implant outcome, levels of occlusion, and diet requires optimization. Purpose:, Pertubating load on single implant restorations immediately after placement by a hard food diet will increase the strains at the bone-implant interface, increasing the risk for failure. Materials and Methods:, Forty-eight implants replaced the first and third mandibular premolars in 12 pigs, allocated into two groups based on soft- and hard-diet feeding. Cylindrical and tapered implants replaced the first and third premolars, respectively. Each animal received at random four different masticatory loading conditions (group 1 control]: implant with either a cover screw or a healing abutment, and group 2 test]: implant with a crown either with or without occlusal contacts). Results:, Thirteen implants out of 44 failed in 11 animals (one with a cover screw, one with a healing abutment, three with nonocclusal, and eight with occlusal restorations). The failure rate of restored implants (either in occlusion or not) was significantly higher in the third premolar sites (p=.007), although diet had no significant effect (p=.421). Conclusions:, While diet had no effect on the failure pattern of immediately loaded single implants, the position and type of load under the masticatory mode were significant. Immediately loaded implants both in and out of occlusion were less successful than the controls, and this is probably attributed to detrimental strain induced on the bone-implant interface. [source] Bone density and primary stability in implant therapyCLINICAL ORAL IMPLANTS RESEARCH, Issue S2 2006Liene Molly Abstract Introduction: To improve patient comfort, deviations from the very successful standard osseointegration protocol are being developed. To keep implant failure rates as low as possible, the most perfect treatment planning and a good patient selection are extremely important. Because bone density plays an important role in implant outcome, known relations of bone density could improve treatment planning. Material and methods: A Pubmed search revealed 66 manuscripts investigating and discussing bone density of human jawbone whether or not related to implant stability or outcome. Forty-five of these will be discussed in this review. Results and discussion: Many pre-operative methods of jawbone density assessment are available. Most of those techniques correlate well with one another. Some are more elaborate to use in clinical practice. Primary stability measurements show significant correlations with different bone densities and also with implant outcome; however, not many studies investigate both at the same time. Conclusion: To investigate the outcome of adaptation methods of the surgical protocol with regard to the jawbone density, an objective pre-surgical determination of bone density is necessary. [source] A Study on Variances in Multivariate Analyses of Oral Implant OutcomeCLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH, Issue 1 2007Irene Herrmann LDS, Odont Lic ABSTRACT Background:, Elaborate studies have shown that interdependency exists between implants being placed in the same patient/jaw. Therefore, interdependency ought to be an important aspect to address, whenever performing statistical analyses of oral implant outcomes. A Jackknife method could be an option when conducting statistical evaluations of oral implant failure prognoses. Purpose:, The aim of this study was to evaluate whether a statistical difference can be detected by using the Jackknife method in conjunction with life table analyses and/or a log rank test of four different combinations of jaw density and quantity. Materials and Methods:, Four multicenter studies were pooled and adjusted in order to create a research database consisting of 486 patients and 1,737 implants in preparation for the Jackknife resampling method. Combinations of jaw shapes and bone qualities were constructed to select at-risk patients. Statistical Methods:, Life tables with confidence intervals were calculated and a log rank test was used to determine whether a statistical difference between the combinations could be established. Results:, Both statistical analyses, after the Jackknife resampling method, showed that patients with poor bone quality and resorbed jaws (combination IV) had a statistically higher risk of implant failure. Conclusion:, By rearranging data using the Jackknife method, standardized statistical tests seem to work well even when the study population tested was affected by interdependency. [source] |