Retrospective study to identify associations between clinician training and dental implant outcome and to compare the use of MATLAB with SAS
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Published version
Date
2019-08
Authors
Sonkar, Jyoti
Maney, Pooja
Yu, Qingzhao
Palaiologou, Angela
Version
Published version
OA Version
Citation
Sonkar J, Maney P, Yu Q, Palaiologou A. Retrospective study to identify associations between clinician training and dental implant outcome and to compare the use of MATLAB with SAS. International journal of implant dentistry. 2019 Dec 1;5(1):28. https://doi.org/10.1186/s40729-019-0182-6
Abstract
Background: The aim of this study was to identify any associations between predictor variables, mainly clinician
training and dental implant outcome, among the residents in different departments and to compare statistical
analysis with the use of MATLAB R2017a™ to SAS version 9.4.
Methods: Dental records were reviewed from January 1, 2011, to December 31, 2015. Two thousand forty-eight
dental implants were placed on 471 patients seen by residents from the departments of Periodontics,
Prosthodontics, and Oral and Maxillofacial Surgery (OMFS) at Louisiana State University Health Sciences Center
School of Dentistry. The following parameters were investigated by means of multilevel logistic regression analysis:
demographics, implant parameters, department, and residents’ year of training.
Results: A total of 1449 implants were included in the study. Overall, within a 1–5-year time period, 1343 (92.6%)
implants had survived and 106 (7.4%) implants failed. Discipline (p = 0.0004), residents’ year of training (p < 0.0001),
and implant systems (p = 0.0024) showed significant associations with implant outcome. Periodontics had a survival
rate of 94.14% followed by Prosthodontics (91.48%) and OMFS (89.64%). The survival rates of implants by year of
training were as follows: third-year Periodontics and OMFS (94.20%), second-year (89.38%), and first-year (88.6%).
Conclusion: The level and type of clinician training had an impact on implant outcome in different residency
programs. Further studies will be necessary to identify the reasons for the differences in implant failure rates.
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© The Author(s). 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.