Evidence map›Paper›PMID 31297389›Full record

ReviewAnnals of translational medicine2019

Review of robotic-assisted surgery: what the future looks like through a spine oncology lens.

Arash J Sayari, Coralie Pardo, Bryce A Basques, Matthew W Colman

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Artificial intelligence in spine care: current applications and future utility.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 · 2022
    Review
  10. Article
  11. Single-Position Anterior Column Lateral Lumbar Interbody Fusion.International journal of spine surgery · 2022
    Article
  12. Article
  13. Article
  14. Guidance for Acupuncture Robot with Potentially Utilizing Medical Robotic Technologies.Evidence-based complementary and alternative medicine : eCAM · 2021
    Review
  15. Article
  16. A Clinical Application Study of Mixed Reality Technology Assisted Lumbar Pedicle Screws Implantation.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  17. Article
  18. 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.

Arash J SayariDepartment of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
Coralie PardoDepartment of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
Bryce A BasquesDepartment of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
Matthew W ColmanDepartment of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in medical technology have led to the emergence of robotic-assisted surgery with the hope of creating a safer and more efficient surgical environment for the patient and surgical team. Spine surgery and spine tumor surgery involve challenging anatomy and demand highly precise surgical maneuvers, creating an important niche for robotic systems. While still in its infancy, robotics in spine surgery have proven successful in pedicle screw placement. Similarly, robotics has begun to be used for accurate resections and surgical planning in tumor surgery. As future studies are published and robotics systems continue to evolve, we can expect more tactile haptic feedback and implementation of useful instruments to improve preoperative planning, resection guidance, and reconstruction during spine tumor surgery.

Indexed as

Neoplasm metastasisneoplasmsroboticsspinal cord neoplasmsspinesurgery, computer assisted

Identifiers

PMID31297389
PMCPMC6595200

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.