Evidence map›Paper›PMID 32252158›Full record

ArticleNeurospine2020

Robotic Spine Surgery and Augmented Reality Systems: A State of the Art.

Gianluca Vadalà, Sergio De Salvatore, Luca Ambrosio, Fabrizio Russo, Rocco Papalia, Vincenzo Denaro

Abstract read
In one paragraph

Article in Neurospine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
–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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Deviation from preoperative planning and pedicle screw accuracy in navigated and robotic spinal fusion: a systematic review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Pooled it
  2. Pooled it
  3. COVID-19 Pandemic Increases the Impact of Low Back Pain: A Systematic Review and Metanalysis.International journal of environmental research and public health · 2022
    Pooled it
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  12. MINARO DRS: usability study of a robotic-assisted laminectomy.International journal of computer assisted radiology and surgery · 2025
    Article
  13. Review
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  15. Preserving privacy in big data research: the role of federated learning in spine surgery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Review
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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

6 authors.

Gianluca VadalàDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.
Sergio De SalvatoreDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.
Luca AmbrosioDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.
Fabrizio RussoDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.
Rocco PapaliaDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.
Vincenzo DenaroDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instrumented spine procedures have been performed for decades to treat a wide variety of spinal disorders. New technologies have been employed to obtain a high degree of precision, to minimize risks of damage to neurovascular structures and to diminish harmful exposure of patients and the operative team to ionizing radiations. Robotic spine surgery comprehends 3 major categories: telesurgical robotic systems, robotic-assisted navigation (RAN) and virtual augmented reality (AR) systems, including AR and virtual reality. Telesurgical systems encompass devices that can be operated from a remote command station, allowing to perform surgery via instruments being manipulated by the robot. On the other hand, RAN technologies are characterized by the robotic guidance of surgeon-operated instruments based on real-time imaging. Virtual AR systems are able to show images directly on special visors and screens allowing the surgeon to visualize information about the patient and the procedure (i.e., anatomical landmarks, screw direction and inclination, distance from neurological and vascular structures etc.). The aim of this review is to focus on the current state of the art of robotics and AR in spine surgery and perspectives of these emerging technologies that hold promises for future applications.

Indexed as

Augmented realityComputer-assisted surgeryNavigationRobotic spine surgeryTelesurgery

Identifiers

PMID32252158
PMCPMC7136092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.