Evidence map›Paper›PMID 34250025›Full record

ArticleFrontiers in robotics and AI2021

Telerobotic Operation of Intensive Care Unit Ventilators.

Balazs P Vagvolgyi, Mikhail Khrenov, Jonathan Cope, Anton Deguet, Peter Kazanzides, Sajid Manzoor, Russell H Taylor, Axel Krieger

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 56% 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

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

  1. Use of Robots in Critical Care: Systematic Review.Journal of medical Internet research · 2022
    Pooled it
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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

8 authors at 3 institutions in 1 country.

Balazs P VagvolgyiLaboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Mikhail KhrenovDepartment of Mechanical Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD, United States.
Jonathan CopeAnaesthesia and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Anton DeguetLaboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Peter KazanzidesLaboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Sajid ManzoorAnaesthesia and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Russell H TaylorLaboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Axel KriegerLaboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Johns Hopkins University · USJohns Hopkins Hospital · USUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the first reports of a novel coronavirus (SARS-CoV-2) in December 2019, over 33 million people have been infected worldwide and approximately 1 million people worldwide have died from the disease caused by this virus, COVID-19. In the United States alone, there have been approximately 7 million cases and over 200,000 deaths. This outbreak has placed an enormous strain on healthcare systems and workers. Severe cases require hospital care, and 8.5% of patients require mechanical ventilation in an intensive care unit (ICU). One major challenge is the necessity for clinical care personnel to don and doff cumbersome personal protective equipment (PPE) in order to enter an ICU unit to make simple adjustments to ventilator settings. Although future ventilators and other ICU equipment may be controllable remotely through computer networks, the enormous installed base of existing ventilators do not have this capability. This paper reports the development of a simple, low cost telerobotic system that permits adjustment of ventilator settings from outside the ICU. The system consists of a small Cartesian robot capable of operating a ventilator touch screen with camera vision control

Indexed as

coronavirus (2019-nCoV)intensive care unitpersonal protective equipmentroboticstelerobotics and teleoperationtouch screenventilatorvisual servoing

Identifiers

PMID34250025
PMCPMC8264200
OpenAlexW3092582800

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.