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Top 25 Most-Cited Articles on Robotic-Assisted Lumbar Spine Surgery

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Date 2023 Dec 20
PMID 38123971
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Abstract

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:

References
1.
Schatlo B, Martinez R, Alaid A, von Eckardstein K, Akhavan-Sigari R, Hahn A . Unskilled unawareness and the learning curve in robotic spine surgery. Acta Neurochir (Wien). 2015; 157(10):1819-23. DOI: 10.1007/s00701-015-2535-0. View

2.
Lefranc M, Peltier J . Evaluation of the ROSA™ Spine robot for minimally invasive surgical procedures. Expert Rev Med Devices. 2016; 13(10):899-906. DOI: 10.1080/17434440.2016.1236680. View

3.
Chang M, Wang L, Yuan S, Tian Y, Zhao Y, Liu X . Percutaneous Endoscopic Robot-Assisted Transforaminal Lumbar Interbody Fusion (PE RA-TLIF) for Lumbar Spondylolisthesis: A Technical Note and Two Years Clinical Results. Pain Physician. 2022; 25(1):E73-E86. View

4.
Lieberman I, Hardenbrook M, Wang J, Guyer R . Assessment of pedicle screw placement accuracy, procedure time, and radiation exposure using a miniature robotic guidance system. J Spinal Disord Tech. 2011; 25(5):241-8. DOI: 10.1097/BSD.0b013e318218a5ef. View

5.
Mata D, Ramos M, Bansal N, Khan R, Guille C, Di Angelantonio E . Prevalence of Depression and Depressive Symptoms Among Resident Physicians: A Systematic Review and Meta-analysis. JAMA. 2015; 314(22):2373-83. PMC: 4866499. DOI: 10.1001/jama.2015.15845. View