Evidence map›Paper›PMID 40747281›Full record

ArticleNeurosurgical focus: Video2025

Robot-navigated minimally invasive transforaminal lumbar interbody fusion workflow.

Gianluca Vadalà, Fabrizio Russo, Vincenzo Denaro

Abstract read
In one paragraph

Article in Neurosurgical focus: Video, 2025. 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. 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

3 authors.

Gianluca VadalàOperative Unit of Orthopaedic and Trauma Surgery, Campus Bio-Medico University Hospital Foundation, Rome, Italy; and.
Fabrizio RussoOperative Unit of Orthopaedic and Trauma Surgery, Campus Bio-Medico University Hospital Foundation, Rome, Italy; and.
Vincenzo DenaroOperative Unit of Orthopaedic and Trauma Surgery, Campus Bio-Medico University Hospital Foundation, Rome, Italy; and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This video demonstrates the robot-navigated minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) technique for spondylolisthesis. Navigation and robotics enhance accuracy in pedicle screw placement, reduce operative time and radiation exposure, and improve patient recovery. The case of a 70-year-old patient with L4-5 spondylolisthesis and spinal stenosis is presented. Key surgical steps include intraoperative imaging, preoperative planning, robot-guided screw placement, targeted decompression, and interbody cage implantation. The workflow optimizes safety and efficiency while minimizing tissue disruption. Postoperative imaging confirms precise implant positioning and spondylolisthesis correction, demonstrating how robotics and navigation contribute to superior surgical precision, reproducibility, and improved clinical outcomes. The video can be found here: https://stream.cadmore.media/r10.3171/2025.4.FOCVID2516.

Identifiers

PMID40747281
PMCPMC12308740

What OpenQuestion holds

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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.