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Osseointegration of zirconia dental implants in animal investigations: A systematic review and meta-analysis
Dental Materials ( IF 5 ) Pub Date : 2017-11-06 , DOI: 10.1016/j.dental.2017.10.008
Stefano Pieralli , Ralf-Joachim Kohal , Emilia Lopez Hernandez , Sam Doerken , Benedikt Christopher Spies

Objective

To determine the osseointegration rate of zirconium dioxide (ZrO2) dental implants in preclinical investigations.

Data

Data on the osseointegration rate was extracted considering the bone to implant contact (BIC), removal torque analysis (RTQ) and push-in tests. Meta analyses were conducted using multilevel multivariable mixed-effects linear regression models. The Šidák method was used in case of multiple testing.

Sources

An electronic screening of the literature (MEDLINE/Pubmed, Cochrane Library and Embase) and a supplementary manual search were performed. Animal investigations with a minimum sample size of 3 units evaluating implants made of zirconia (ZrO2) or its composites (ZrO2 > 50 vol.%) were included.

Study selection

The search provided 4577 articles, and finally 54 investigations were included and analyzed. Fifty-two studies included implants made from zirconia, 4 zirconia composite implants and 37 titanium implants. In total, 3435 implants were installed in 954 animals.

Conclusions

No significant influence of the evaluated bulk materials on the outcomes of interest could be detected. When comparing different animal models, significant differences for the evaluated variables could be found. These results might be of interest for the design of further animal investigations.



中文翻译:

氧化锆牙科植入物的骨整合在动物研究中的系统评价和荟萃分析

客观的

在临床前研究中确定二氧化锆(ZrO 2)牙植入物的骨整合率。

数据

考虑到骨与种植体的接触(BIC),去除扭矩分析(RTQ)和推入测试,提取了骨整合率的数据。使用多级多变量混合效应线性回归模型进行荟萃分析。在进行多次测试的情况下使用Šidák方法。

资料来源

对文献进行了电子筛选(MEDLINE / Pubmed,Cochrane Library和Embase)和补充手册搜索。包括至少3个样本单位的动物研究,以评估由氧化锆(ZrO 2)或其复合材料制成的植入物(ZrO 2  > 50 vol。%)。

研究选择

搜索提供了4577篇文章,最后对54项调查进行了分析。52个研究包括由氧化锆制成的植入物,4个氧化锆复合植入物和37个钛植入物。总共在954只动物中安装了3435个植入物。

结论

评估的散装材料对目标结果没有显着影响。当比较不同的动物模型时,可以发现评估变量的显着差异。这些结果可能对进一步的动物研究设计感兴趣。

更新日期:2017-11-06
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