Evidence map›Paper›PMID 31524659›Full record

ArticleClinical obstetrics and gynecology2019

Updates and Controversies of Robotic-Assisted Surgery in Gynecologic Surgery.

Aaron Varghese, Marisol Doglioli, Amanda N Fader

Abstract read
In one paragraph

Article in Clinical obstetrics and gynecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Robotic versus laparoscopic hysterectomy; comparison of early surgical outcomesJournal of the Turkish German Gynecological Association · 2020
    Article
  19. Review
  20. 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.

Aaron VargheseKelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland.
Marisol Doglioli
Amanda N Fader

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI Richard Bruce Roden · 2003 to 2026
$53.5M
NCI NIH HHS P50 CA098252
6 · The paper itself

Abstract

minimally invasive surgery (MIS) is the standard approach to performance of several gynecologic procedures, including hysterectomy, gynecologic cancer staging procedures, myomectomy, pelvic organ prolapse repair, and select adnexal procedures. Robotic-assisted surgery, a computer-based MIS approach, has been adopted widely in the United States and several other countries. Robotics may offer technological and ergonomic benefits that overcome limitations associated with conventional laparoscopy; however, it is not clear that reported claims of superiority translate into improved gynecologic patient outcomes compared with other MIS approaches. This review critically appraises the evolving role, benefits, limitations, and controversies of robotic-assisted surgery utilization in benign and oncologic gynecology settings.

Indexed as

FemaleGenital Neoplasms, FemaleGynecologic Surgical ProceduresHumansHysterectomyLaparoscopyPelvic Organ ProlapseRobotic Surgical ProceduresUterine Myomectomy

Identifiers

PMID31524659
PMCPMC6944326

What OpenQuestion holds

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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.