Evidence map›Paper›PMID 38349595›Full record

ReviewJournal of robotic surgery2024

Review of robotic surgery platforms and end effectors.

Francesco Cepolina, Roberto Razzoli

Abstract readReview
In one paragraph

Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Robot-assisted shoulder arthroplasty.JSES international · 2025
    Review
  11. Review
  12. The Fusion of Robotics and Imaging: A Vision of the Future.Methodist DeBakey cardiovascular journal · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Review
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

2 authors.

Francesco CepolinaDIMEC-PMAR Lab, Instrumental Robot Design Research Group, Department of Machines Mechanics and Design, University of Genova, Via All'Opera Pia 15A, 16145, Genoa, Italy. francesco.cepolina@edu.unige.it.ORCID http://orcid.org/0000-0003-1481-4120
Roberto RazzoliDIMEC-PMAR Lab, Instrumental Robot Design Research Group, Department of Machines Mechanics and Design, University of Genova, Via All'Opera Pia 15A, 16145, Genoa, Italy.ORCID http://orcid.org/0000-0002-9807-6665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last 50 years, the number of companies producing automated devices for surgical operations has grown extensively. The population started to be more confident about the technology capabilities. The first patents related to surgical robotics are expiring and this knowledge is becoming a common base for the development of future surgical robotics. The review describes some of the most popular companies manufacturing surgical robots. The list of the company does not pretend to be exhaustive but wishes to give an overview of the sector. Due to space constraints, only a limited selction of companies is reported. Most of the companies described are born in America or Europe. Advantages and limitations of each product firm are described. A special focus is given to the end effectors; their shape and dexterity are crucial for the positive outcome of the surgical operations. New robots are developed every year, and existing robots are allowed to perform a wider range of procedures. Robotic technologies improve the abilities of surgeons in the domains of urology, gynecology, neurology, spine surgery, orthopedic reconstruction (knee, shoulder), hair restoration, oral surgery, thoracic surgery, laparoscopic surgery, and endoscopy.

Indexed as

GynecologyOral Surgical ProceduresRoboticsRobotic Surgical ProceduresHumansKnowledgeCommercial productsEnd effectorsEndoscopicRobotically assistedRobotic surgerySurgical robotics

Identifiers

PMID38349595
PMCPMC10864559

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.