Evidence map›Paper›PMID 34336879›Full record

ArticleFrontiers in medicine2021

Scoring System to Evaluate the Performance of ICU Ventilators in the Pandemic of COVID-19: A Lung Model Study.

Xingshuo Hu, Fei Xie, Kaifei Wang, Hongjun Gu, Guoxin Mo, Ruoxuan Wen, Ying Zhao, Qingyun Yang, Knut Möller, Zhanqi Zhao and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Ventilator-derivedIn vivo (Athens, Greece)
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Xingshuo HuCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Fei XieCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Kaifei WangCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Hongjun GuCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Guoxin MoCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Ruoxuan WenCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Ying ZhaoCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Qingyun YangCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Knut MöllerInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany.
Zhanqi ZhaoInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany.
Lixin XieCritical Care, College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventilators in the intensive care units (ICU) are life-support devices that help physicians to gain additional time to cure the patients. The aim of the study was to establish a scoring system to evaluate the ventilator performance in the context of COVID-19. The scoring system was established by weighting the ventilator performance on five different aspects: the stability of pressurization, response to leaks alteration, performance of reaction, volume delivery, and accuracy in oxygen delivery. The weighting factors were determined with analytic hierarchy process (AHP). Survey was sent out to 66 clinical and mechanical experts. The scoring system was built based on 54 valid replies. A total of 12 commercially available ICU ventilators providing non-invasive ventilation were evaluated using the novel scoring system. A total of eight ICU ventilators with non-invasive ventilation mode and four dedicated non-invasive ventilators were tested according to the scoring system. Four COVID-19 phenotypes were simulated using the ASL5000 lung simulator, namely (1) increased airway resistance (IR) (10 cm H

Indexed as

accuracy in volume deliveryanalytic hierarchy processleakage correctionperformance of triggeringscoring systemstability of pressurizationventilator performance

Identifiers

PMID34336879
PMCPMC8316635

What OpenQuestion holds

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Registered trials

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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.