Evidence map›Paper›PMID 39810924›Full record

ArticleBrain & spine2025

Current state and future perspectives of spinal navigation and robotics-an AO spine survey.

Stefan Motov, Vicki M Butenschoen, Philipp E Krauss, Anand Veeravagu, Kelly H Yoo, Felix C Stengel, Nader Hejrati, Martin N Stienen

Abstract read
In one paragraph

Article in Brain & spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Feasibility and intra-operative accuracy of robotic-guided stacked S1AI and S2AI screw placement.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 · 2026
    Article
  3. Review
  4. Regional variability and economic impact on surgical practices for metastatic spinal disease in Europe - a survey on spine surgeons.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 · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Public Perception of Robot-Assisted Spine Surgery.Journal of clinical medicine · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
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.

Stefan MotovSpine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St. Gallen, St.Gallen, Switzerland.
Vicki M ButenschoenDepartment of Neurosurgery, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Philipp E KraussDepartment of Neurosurgery, University Hospital Augsburg, Augsburg, Germany.
Anand VeeravaguNeurosurgery Artificial Intelligence Lab, Stanford University School of Medicine, Stanford, CA, USA.
Kelly H YooNeurosurgery Artificial Intelligence Lab, Stanford University School of Medicine, Stanford, CA, USA.
Felix C StengelSpine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St. Gallen, St.Gallen, Switzerland.
Nader HejratiSpine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St. Gallen, St.Gallen, Switzerland.
Martin N StienenSpine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St. Gallen, St.Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of robotics in spine surgery has gained popularity. This study aims to assess the current state of robotics and raise awareness of its educational implications. Research question: What are the current adoption trends and barriers to the implementation of robotic assistance in spine surgery? Material and methods: An online questionnaire comprising 27 questions was distributed to AO spine members between October 25th and November 13th, 2023, using the SurveyMonkey platform (https://www.surveymonkey.com; SurveyMonkey Inc., San Mateo, CA, USA). Statistical analyses (descriptive statistics, Pearson Chi-Square tests) and generation of all graphs were performed using SPSS Version 29.0.1.0 (IBM SPSS Statistic). Results: We received 424 responses from AO Spine members (response rate = 9.9 %). The participants were mostly board-certified orthopedic surgeons (46 %, n = 195) and neurosurgeons (32%, n = 136). While 49% (n = 208) of the participants reported occasional or frequent use of navigation assistance, only 18 % (n = 70) indicated the use of robotic assistance for spinal instrumentation. A significant difference based on the country's median income status (p < 0.001) and the respondent's number of annual instrumentation procedures (p < 0.001) has been observed. While 11 % (n = 47) of all surgeons use a spinal robot frequently, 36 % (n = 153) of the participants stated they don't need a robot from a current perspective. Most participants (77%, n = 301) concluded that high acquisition costs are the primary barrier for the implementation of robotics. Discussion and conclusion: Although the hype for robotics in spine surgery increased recently, robotic systems remain non-standard equipment due to cost constraints and limited usability.

Indexed as

InstrumentationNavigationRoboticsSpine surgerySurveyUtilization

Identifiers

PMID39810924
PMCPMC11732222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.