Evidence map›Paper›PMID 38123971›Full record

ArticleInternational journal of spine surgery2024

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

Andy Ton, Nicole Hang, William Liu, Ryan Liu, Patrick C Hsieh, Jeffrey C Wang, Raymond J Hah, Ram K Alluri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of spine surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andy TonDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA andyton@usc.edu.
Nicole HangDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
William LiuDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Ryan LiuDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Patrick C HsiehDepartment of Neurological Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Jeffrey C WangDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Raymond J HahDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.
Ram K AlluriDepartment of Orthopedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-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.

methodsAn "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.

resultsCumulatively, 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.

conclusionsAs 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:

Indexed as

clinical outcomeslumbarnavigationpedicle screwrobotic spine surgery

Identifiers

PMID38123971
PMCPMC11265518

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.