Evidence map›Paper›PMID 31037519›Full record

ReviewCurrent reviews in musculoskeletal medicine2019

Robotic Guidance in Minimally Invasive Spine Surgery: a Review of Recent Literature and Commentary on a Developing Technology.

Justin D Stull, John J Mangan, Alexander R Vaccaro, Gregory D Schroeder

Abstract readReview
In one paragraph

Review in Current reviews in musculoskeletal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Percutaneous endoscopic lumbar partial laminectomy assisted by a new miniature parallel surgical robot system: a trial on a cadaveric specimen.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2025
    Article
  4. Comparative evaluation of postoperative outcomes and expenditure between robotic and conventional single-level lumbar fusion surgery: a comprehensive analysis of nationwide inpatient sample data.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
    Article
  5. A Framework for Interpretability in Machine Learning for Medical Imaging.IEEE access : practical innovations, open solutions · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Robotic-Assisted Revision Spine Surgery.International journal of spine surgery · 2022
    Article
  10. Article
  11. Article
  12. 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

4 authors.

Justin D StullOrthopaedic Surgery, Thomas Jefferson University Hospital, Fifth Floor, 925 Chestnut Street, Philadelphia, PA, 19107, USA. Justin.stull@gmail.com.
John J ManganOrthopaedic Surgery, Thomas Jefferson University Hospital, Fifth Floor, 925 Chestnut Street, Philadelphia, PA, 19107, USA.
Alexander R VaccaroOrthopaedic Surgery, Thomas Jefferson University Hospital, Fifth Floor, 925 Chestnut Street, Philadelphia, PA, 19107, USA.
Gregory D SchroederOrthopaedic Surgery, Thomas Jefferson University Hospital, Fifth Floor, 925 Chestnut Street, Philadelphia, PA, 19107, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMinimally invasive spine surgery (MIS) and robotic technology are growing in popularity and are increasing utilized in combination. The purpose of this review is to identify the current successes, potential drawbacks, and future directions of robotic guidance for MIS compared to traditional techniques. RECENT

findingsRecent literature highlights successful incorporation of robotic guidance in MIS as a consistently accurate method for pedicle screw placement. With a short learning curve and low complication rates, robot guidance may also reduce the use of fluoroscopy, operative time, and length of hospital stay. Recent literature suggests that incorporating robotic guidance in MIS improves the accuracy of pedicle screw insertion and may have added benefits both intra- and postoperatively for the patient and provider. Future research should focus on direct comparison between MIS with and without robotic guidance.

Indexed as

FluoroscopyMISNavigationPedicleRobotSpine

Identifiers

PMID31037519
PMCPMC6542902

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.