Evidence map›Paper›PMID 37804395›Full record

ArticleJournal of robotic surgery2023

Impaired robotic surgical visualization: archaic issues in a modern operating room.

Nethra Venkatayogi, Morgan Parker, John Uecker, Aaron A Laviana, Alexander Cohen, Safiya-Hana Belbina, Sofia Gereta, Nirupama Ancha, Sanjana Ravi, Christopher Idelson and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2023. 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
–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

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

  1. Clear Vision, Clear Savings: Enhancing Efficiency in Minimally Invasive Surgery.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Pooled it
  2. 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

11 authors.

Nethra VenkatayogiDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Morgan ParkerDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
John UeckerClearCam Inc., Austin, TX, 78774, USA.
Aaron A LavianaDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Alexander CohenClearCam Inc., Austin, TX, 78774, USA.
Safiya-Hana BelbinaDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Sofia GeretaDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Nirupama AnchaDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Sanjana RaviDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Christopher IdelsonClearCam Inc., Austin, TX, 78774, USA.
Farshid AlambeigiWalker Department of Mechanical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. Farshid.alambeigi@austin.utexas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While robotic-assisted surgery (RAS) has been revolutionizing surgical procedures, it has various areas needing improvement, specifically in the visualization sector. Suboptimal vision due to lens occlusions has been a topic of concern in laparoscopic surgery but has not received much attention in robotic surgery. This study is one of the first to explore and quantify the degree of disruption encountered due to poor robotic visualization at a major academic center. In case observations across 28 RAS procedures in various specialties, any lens occlusions or "debris" events that appeared on the monitor displays and clinicians' reactions, the cause, and the location across the monitor for these events were recorded. Data were then assessed for any trends using analysis as described below. From around 44.33 h of RAS observation time, 163 debris events were recorded. 52.53% of case observation time was spent under a compromised visual field. In a subset of 15 cases, about 2.24% of the average observation time was spent cleaning the lens. Additionally, cautery was found to be the primary cause of lens occlusions and little variation was found within the spread of the debris across the monitor display. This study illustrates that in 6 (21.43%) of the cases, 90% of the observation time was spent under compromised visualization while only 2 (7.14%) of the cases had no debris or cleaning events. Additionally, we observed that cleaning the lens can be troublesome during the procedure, interrupting the operating room flow.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresHumansOperating Roomsda Vinci surgical robotLens cleaningLens occlusionsRobotic-assisted surgerySurgical visualization

Identifiers

PMID37804395

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.