Evidence map›Paper›PMID 30610536›Full record

ArticleJournal of robotic surgery2019

Exploration of robotic-assisted surgical techniques in vascular surgery.

Kyle Miller, Dale Bergman, Glenn Stante, Chandu Vemuri

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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 at 3 institutions in 2 countries.

Kyle MillerMedical Research, Intuitive Surgical, Inc., 1266 Kifer Road, Sunnyvale, CA, 94086, USA. kyle.miller@intusurg.com.ORCID http://orcid.org/0000-0002-5249-9531
Dale BergmanMedical Research, Intuitive Surgical, Inc., 1266 Kifer Road, Sunnyvale, CA, 94086, USA.
Glenn StanteMedical Research, Intuitive Surgical, Inc., 1266 Kifer Road, Sunnyvale, CA, 94086, USA.
Chandu VemuriDepartment of Vascular and Endovascular Surgery, University of Michigan, Ann Arbor, MI, 48109, USA.
Intuitive Surgical (United States) · USIntuitive Surgical (Switzerland) · CHUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted surgical approaches for vascular surgery are feasible regarding minimally invasive exposure, dissection, ligation and skeletonization for varicose vein ligation, anterior spine exposure, femoral-popliteal bypass, femoral vein harvest and aortic aneurysm repair. The authors performed a cadaveric exploration to demonstrate proof of concept and feasibility for a robotic-assisted approached. Surgeon autonomy over endoscopic vision, robotic instrumentation and retraction were noted as key benefits over existing open vascular approaches. Robotic-assisted approaches for vascular surgery enable innovative minimally invasive approaches to disease states not amenable to endovascular repair. Potential reductions in paresthesia through nerve identification were noted during a cadaveric exploration for varicose vein ligation in the setting of chronic venous insufficiency. Minimally invasive femoral artery exposure via a retroperitoneal approach could potentially reduce the morbidity associated with the traditional groin incision. Further exploration and procedure refinement are warranted.

Indexed as

Femoral VeinHumansLigationMinimally Invasive Surgical ProceduresPopliteal VeinRobotic Surgical ProceduresSpineVaricose VeinsVascular Surgical ProceduresProcedure explorationProof of conceptRobotic-assisted surgeryVascular surgery

Identifiers

PMID30610536
OpenAlexW2906855348

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.