Evidence map›Paper›PMID 35494547›Full record

ArticleFrontiers in robotics and AI2022

Active Stabilization of Interventional Tasks Utilizing a Magnetically Manipulated Endoscope.

Lavinia Barducci, Bruno Scaglioni, James Martin, Keith L Obstein, Pietro Valdastri

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 2 countries.

Lavinia BarducciSTORM Lab United Kingdom, Institute of Robotics, Autonomous Systems and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.
Bruno ScaglioniSTORM Lab United Kingdom, Institute of Robotics, Autonomous Systems and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.
James MartinSTORM Lab United Kingdom, Institute of Robotics, Autonomous Systems and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.
Keith L ObsteinSTORM Lab United States, Vanderbilt University Medical Center, Nashville, TN, United States.
Pietro ValdastriSTORM Lab United Kingdom, Institute of Robotics, Autonomous Systems and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.
University of Leeds · GBVanderbilt University Medical Center · US

Funding

A magnetic capsule endoscope for colonoscopy in patients with inflammatory bowel diseaseR01EB018992 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OBSTEIN, KEITH L · 2014 to 2024
$2.8M
Cancer Research UK 27744NIBIB NIH HHS R01 EB018992
6 · The paper itself

Abstract

Magnetically actuated robots have become increasingly popular in medical endoscopy over the past decade. Despite the significant improvements in autonomy and control methods, progress within the field of medical magnetic endoscopes has mainly been in the domain of enhanced navigation. Interventional tasks such as biopsy, polyp removal, and clip placement are a major procedural component of endoscopy. Little advancement has been done in this area due to the problem of adequately controlling and stabilizing magnetically actuated endoscopes for interventional tasks. In the present paper we discuss a novel

Indexed as

autonomous systemsendoscopesmagnetic robots controlmedical devicerobot control

Identifiers

PMID35494547
PMCPMC9047764
OpenAlexW4223980876

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.