RT Journal Article
SR Electronic
T1 Top 25 Most-Cited Articles on Robotic-Assisted Lumbar Spine Surgery
JF International Journal of Spine Surgery
JO Int J Spine Surg
FD International Society for the Advancement of Spine Surgery
SP 37
OP 46
DO 10.14444/8565
VO 18
IS 1
A1 Andy Ton
A1 Nicole Hang
A1 William Liu
A1 Ryan Liu
A1 Patrick C. Hsieh
A1 Jeffrey C. Wang
A1 Raymond J. Hah
A1 Ram K. Alluri
YR 2024
UL http://ijssurgery.com//content/18/1/37.abstract
AB Background Robot-guided lumbar spine surgery has evolved rapidly with evidence to support its utility and feasibility compared with conventional freehand and fluoroscopy-based techniques. The objective of this study was to assess trends among the top 25 most-cited articles pertaining to robotic-guided lumbar spine surgery.Methods An “advanced document search” using Boolean search operator terms was performed on 16 November 2022 through the Web of Science and SCOPUS citation databases to determine the top 25 most-referenced articles on robotic lumbar spine surgery. The articles were compiled into a directory and hierarchically organized based on the total number of citations.Results Cumulatively, the “Top 25” list for robot-assisted navigation in lumbar spine surgery received 2240 citations, averaging 97.39 citations annually. The number of citations ranged from 221 to 40 for the 25 most-cited articles. The most-cited study, by Kantelhardt et al, received 221 citations, averaging 18 citations per year.Conclusions As utilization of robot-guided modalities in lumbar spine surgery increases, this review highlights the most impactful studies to support its efficacy and implementation. Practical considerations such as cost-effectiveness, however, need to be better defined through further longitudinal studies that evaluate patient-reported outcomes and cost-utility.Clinical Relevance Through an overview of the top 25 most-cited articles, the present review highlights the rising prominence and technical efficacy of robotic-guided systems within lumbar spine surgery, with consideration to pragmatic limitations and need for additional data to facilitate cost-effective applications.Level of Evidence 5