NDLI: Accuracies of various types of spinal robot in robot-assisted pedicle screw insertion: a Bayesian network meta-analysis

Content Provider	Springer Nature : BioMed Central
Author	Xie, Lin-Zhen Wang, Qi-Long Zhang, Qi He, Da Tian, Wei
Abstract	Background With the popularization of robot-assisted spinal surgeries, it is still uncertain whether robots with different designs could lead to different results in the accuracy of pedicle screw placement. This study aimed to compare the pedicle screw inserting accuracies among the spinal surgeries assisted by various types of robot and estimate the rank probability of each robot-assisted operative technique involved. Methods The electronic literature database of PubMed, Web of Science, EMBASE, CNKI, WANFANG and the Cochrane Library was searched in November 2021. The primary outcome was the Gertzbein–Robbins classification of pedicle screws inserted with various operative techniques. After the data extraction and direct meta-analysis process, a network model was established in the Bayesian framework and further analyses were carried out. Results Among all the 15 eligible RCTs, 4 types of robot device, namely Orthbot, Renaissance, SpineAssist and TiRobot, were included in this study. In the network meta-analysis, the Orthbot group (RR 0.27, 95% CI 0.13–0.58), the Renaissance group (RR 0.33, 95% CI 0.14–0.86), the SpineAssist group (RR 0.14, 95% CI 0.06–0.34) and the conventional surgery group (RR 0.21, 95% CI 0.13–0.31) were inferior to the TiRobot group in the proportion of grade A pedicle screws. Moreover, the results of rank probabilities revealed that in terms of accuracy, the highest-ranked robot was TiRobot, followed by Renaissance and Orthbot. Conclusions In general, current RCT evidence indicates that TiRobot has an advantage in the accuracy of the pedicle screw placement, while there is no significant difference among the Orthbot-assisted technique, the Renaissance-assisted technique, the conventional freehand technique, and the SpineAssist-assisted technique in accuracy.
Related Links	https://josr-online.biomedcentral.com/counter/pdf/10.1186/s13018-023-03714-8.pdf
Ending Page	14
Page Count	14
Starting Page	1
File Format	HTM / HTML
DOI	10.1186/s13018-023-03714-8
Journal	Journal of Orthopaedic Surgery and Research
Issue Number	1
Volume Number	18
Language	English
Publisher	BioMed Central
Publisher Date	2023-03-25
Access Restriction	Open
Subject Keyword	Orthopedics Surgical Orthopedics Pedicle screw Robot Robot‐assisted Spine Network meta-analysis
Content Type	Text
Resource Type	Article
Subject	Surgery Orthopedics and Sports Medicine
Journal Impact Factor	2.8/2023
5-Year Journal Impact Factor	3/2023

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