Evidence map›Paper›PMID 30613380›Full record

ReviewF1000Research2018

Updates in Urologic Robot Assisted Surgery.

Anojan Navaratnam, Haidar Abdul-Muhsin, Mitchell Humphreys

Abstract readReview
In one paragraph

Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Revisiting Short-term Outcomes of Conventional and Computer-Assisted Total Knee Arthroplasty: A Population-based Study.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
    Article
  8. Review
  9. Review
  10. Innovations in Urologic Surgical Training.Current urology reports · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  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

3 authors.

Anojan NavaratnamDepartment of Urology, Mayo Clinic in Arizona, Phoenix, AZ, 85054, USA.ORCID 0000-0003-4684-0235
Haidar Abdul-MuhsinDepartment of Urology, Mayo Clinic in Arizona, Phoenix, AZ, 85054, USA.
Mitchell HumphreysDepartment of Urology, Mayo Clinic in Arizona, Phoenix, AZ, 85054, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern robotics is an advanced minimally invasive technology with the advantages of wristed capability, three-dimensional optics, and tremor filtration compared with conventional laparoscopy. Urologists have been early adopters of robotic surgical technology: robotics have been used in urologic oncology for more than 20 years and there has been an increasing trend for utilization in benign urologic pathology in the last couple of years. The continuing development and interest in robotics are aimed at surgical efficiency as well as patient outcomes. However, despite its advantages, improvements in haptics, system size, and cost are still desired. This article explores the current use of robotics in urology as well as future improvements on the horizon.

Indexed as

HumansLaparoscopyRoboticsRobotic Surgical ProceduresSurgery, Computer-AssistedUrologic Surgical ProceduresUrologyLaparoscopyNear-infrared imagingProstate ablationRobotic surgical proceduresUreteroscopy

Identifiers

PMID30613380
PMCPMC6305212

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.