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Top 25 Most-Cited Articles on Robotic-Assisted Lumbar Spine Surgery.
Ton, Andy; Hang, Nicole; Liu, William; Liu, Ryan; Hsieh, Patrick C; Wang, Jeffrey C; Hah, Raymond J; Alluri, Ram K.
Afiliação
  • Ton A; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA andyton@usc.edu.
  • Hang N; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Liu W; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Liu R; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Hsieh PC; Department of Neurological Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Wang JC; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Hah RJ; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
  • Alluri RK; Department of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Int J Spine Surg ; 18(1): 37-46, 2024 Mar 04.
Article em En | MEDLINE | ID: mdl-38123971
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article