鼻窦提升术
医学
穿孔
牙科
上颌窦
荟萃分析
外科
植入
内科学
冶金
材料科学
冲孔
作者
Essam Ahmed Al‐Moraissi,Ahmed Elsharkawy,Bassam Abotaleb,Khaled Alkebsi,Hamza Al‐Motwakel
摘要
Abstract Purpose There is still debate whether intraoperative Schneiderian membrane (SM) perforation in the maxillary sinus lift causes an increase the risk of implants failure. The aim of this study was to assess an association between SM perforation and implants loss following the maxillary sinus lift. Materials and methods A systematic review and meta‐analysis of clinical studies assessing association between SM perforation and implants failure based on PRISMA was conducted. Three major databases were used to gather research dating from their respective inception up until March 2018. All clinical studies expressly reported the number of the SM perforation and implants loss that installed in the perforated and nonperforated sinuses were included. The statistical analyses used were Pearson's correlation, simple linear regression, and meta regression. The risk ratio (RR) of implant loss between perforated and nonperforated sites was estimated. Results A total of 2947 patients with 3884 maxillary sinuses augmentations who received 7358 implants, enrolled in 58 studies were included in this study. There was a significant relationship between the implants' failure and SM perforation according to simple linear regression ( P < .001) and meta regression analysis ( P = .06). There was a significant decrease (moderate quality evidence) in implant loss in the nonperforated sinuses compared to perforated sunrises (RR = 2.17, CI: 1.52‐3.10, P = .001). There was also no significant association between implant loss in the perforated sinuses and the surgical devices used (piezosurgical or rotary), surgical approach applied (lateral or crestal sinus lift), barrier membrane used and type of bone grafting materials. Conclusion The results of this study showed that an intraoperative SM perforation could increase the risk of implant failure after the sinus lift surgery.
科研通智能强力驱动
Strongly Powered by AbleSci AI