TY  - JOUR
A1  - Huang, Hairong
A1  - Xu, Zanzan
A1  - Shao, Xianhong
A1  - Wismeijer, Daniel
A1  - Sun, Ping
A1  - Wang, Jingxiao
A1  - Wu, Gang
T1  - Multivariate linear regression analysis to identify general factors for quantitative predictions of implant stability quotient values
T2  - PLoS one
N2  - Objectives: This study identified potential general influencing factors for a mathematical prediction of implant stability quotient (ISQ) values in clinical practice.
Methods: We collected the ISQ values of 557 implants from 2 different brands (SICace and Osstem) placed by 2 surgeons in 336 patients. Surgeon 1 placed 329 SICace implants, and surgeon 2 placed 113 SICace implants and 115 Osstem implants. ISQ measurements were taken at T1 (immediately after implant placement) and T2 (before dental restoration). A multivariate linear regression model was used to analyze the influence of the following 11 candidate factors for stability prediction: sex, age, maxillary/mandibular location, bone type, immediate/delayed implantation, bone grafting, insertion torque, I-stage or II-stage healing pattern, implant diameter, implant length and T1-T2 time interval.
Results: The need for bone grafting as a predictor significantly influenced ISQ values in all three groups at T1 (weight coefficients ranging from -4 to -5). In contrast, implant diameter consistently influenced the ISQ values in all three groups at T2 (weight coefficients ranging from 3.4 to 4.2). Other factors, such as sex, age, I/II-stage implantation and bone type, did not significantly influence ISQ values at T2, and implant length did not significantly influence ISQ values at T1 or T2.
Conclusions: These findings provide a rational basis for mathematical models to quantitatively predict the ISQ values of implants in clinical practice.
KW  - Surgeons
KW  - Torque
KW  - Linear regression analysis
KW  - Bone and joint mechanics
KW  - Statistical data
KW  - Mathematical models
KW  - Prognosis
KW  - Switzerland
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/43813
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-438135
SN  - 1932-6203
N1  - Copyright: © 2017 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
VL  - 12
IS  - (10): e0187010
SP  - 1
EP  - 11
PB  - PLoS
CY  - Lawrence, Kan.
ER  -