| Literature DB >> 31285942 |
Jaehyun Yoo1, Ik-Sang Moon1, Jeong-Ho Yun2, Chooryung Chung3, Jong-Ki Huh4, Dong-Won Lee1.
Abstract
PURPOSE: Implant wall thickness and the height of the implant-abutment interface are known as factors that affect the distribution of stress on the marginal bone around the implant. The goal of this study was to evaluate the long-term effects of supracrestal implant placement and implant wall thickness on maintenance of the marginal bone level.Entities:
Keywords: Dental implant-abutment design; Dental implants; Retrospective study
Year: 2019 PMID: 31285942 PMCID: PMC6599752 DOI: 10.5051/jpis.2019.49.3.185
Source DB: PubMed Journal: J Periodontal Implant Sci ISSN: 2093-2278 Impact factor: 2.614
Figure 1Initial implant placement level and wall thickness in the 4 groups. Range: initial maximum and minimum bone level of each group.
The distribution of the installed implants according to jaw and placement site
| Jaw | Group | Placement site | Total | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 7 | 6 | 5 | 4 | 4 | 5 | 6 | 7 | |||
| Maxilla | 1 | 1 | 4 | 2 | 0 | 0 | 3 | 6 | 1 | 17 |
| 2 | 0 | 3 | 2 | 0 | 0 | 0 | 6 | 0 | 11 | |
| 3 | 1 | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 6 | |
| 4 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | |
| Mandible | 1 | 4 | 2 | 1 | 1 | 0 | 0 | 6 | 4 | 18 |
| 2 | 3 | 6 | 4 | 0 | 0 | 2 | 7 | 4 | 26 | |
| 3 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | |
| 4 | 3 | 4 | 0 | 0 | 1 | 0 | 1 | 3 | 12 | |
| Total | 14 | 26 | 12 | 1 | 1 | 6 | 29 | 12 | 101 | |
Figure 2Periapical radiographs taken (A) 1 day after implant surgery, (B) immediately after functional loading, and at (C) 1 year, (D) 2 years, (E) 3 years, (F) 4 years, and (G) 5 years after prosthesis delivery.
Repeated-measures ANOVA analysis result of bone loss for the 4 experimental groups over 5 years
| Time | Group | |||||
|---|---|---|---|---|---|---|
| Group 1 | Group 2 | Group 3 | Group 4 | Group (A) | Time (B) | |
| Year 1 | 0.04±0.07b)/b) | 0.04±0.09b)/b) | 0.18±0.13a)/d) | 0.17±0.11a)/d) | 13.415f) (0.000) | |
| Year 2 | 0.06±0.11b)/a) | 0.07±0.14b)/a) | 0.28±0.23a)/c) | 0.28±0.20a)/c) | 13.152f) (0.000) | |
| Year 3 | 0.07±0.13b)/a) | 0.08±0.15b)/a) | 0.38±0.34a)/b) | 0.36±0.26a)/b) | 15.658f) (0.000) | |
| Year 4 | 0.09±0.14b)/a) | 0.09±0.17b)/a) | 0.45±0.40a)/a) | 0.44±0.31a)/a) | 16.348f) (0.000) | |
| Year 5 | 0.09±0.13b)/a) | 0.10±0.19b)/a) | 0.49±0.44a)/a) | 0.50±0.36a)/a) | 17.408f) (0.000) | |
| 3.196e) (0.015) | 9.876f) (0.000) | 11.399f) (0.000) | 26.153f) (0.000) | 16.386f) (0.000) | 76.285f) (0.000) | |
| Comparison | Group 3=Group 4>Group 1=Group 2 | Year 5=Year 4>Year 3>Year 2>Year 1 | ||||
The measurements for each year reflect the change compared to baseline. Different superscripts indicate significant differences (P<0.05), while the same superscripts indicate non-significant differences (P>0.05).
ANOVA: analysis of variance.
a,b,c,d)The former superscript refers to inter-group differences at the same time, and the latter superscript refers to inter-time differences within the same group; e)P<0.05; f)P<0.01.
Figure 3A tendency for bone resorption to increase over time was observed in each group based on mean values.
Pearson correlation coefficients between implant placement level and bone loss over time
| Time | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Pearson correlation coefficient | 0.686a) | 0.698a) | 0.744a) | 0.753a) | 0.751a) |
| 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
a)P<0.01.