Evidence map›Paper›PMID 33482796›Full record

ArticleBMC pulmonary medicine2021

The use of electrical impedance tomography for individualized ventilation strategy in COVID-19: a case report.

Zhanqi Zhao, Jin-Shou Zhang, Ying-Tzu Chen, Hou-Tai Chang, Yeong-Long Hsu, Inéz Frerichs, Andy Adler

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Observational
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

7 authors at 3 institutions in 4 countries.

Zhanqi Zhao *Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Jin-Shou Zhang *Division of Chest Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan.
Ying-Tzu ChenDivision of Chest Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan.
Hou-Tai ChangDepartment of Critical Care Medicine, Far Eastern Memorial Hospital, No. 21, Sec. 2, Nanya S. Rd., Banciao Dist., New Taipei City, 220, Taiwan, ROC. houtai38@gmail.com.
Yeong-Long HsuDivision of Chest Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan.
Inéz FrerichsDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center of Schleswig-Holstein Campus Kiel, Kiel, Germany.
Andy AdlerDepartment of Systems and Computer Engineering, Carleton University, Ottawa, Canada.
Far Eastern Memorial Hospital · TWCarleton University · CAFurtwangen University · DE

Funding

Far Eastern Memorial Hospital FEMH-2019-C-037
6 · The paper itself

Abstract

backgroundClinical management of COVID-19 requires close monitoring of lung function. While computed tomography (CT) offers ideal way to identify the phenotypes, it cannot monitor the patient response to therapeutic interventions. We present a case of ventilation management for a COVID-19 patient where electrical impedance tomography (EIT) was used to personalize care. CASE PRESENTATION: The patient developed acute respiratory distress syndrome, required invasive mechanical ventilation, and was subsequently weaned. EIT was used multiple times: to titrate the positive end-expiratory pressure, understand the influence of body position, and guide the support levels during weaning and after extubation. We show how EIT provides bedside monitoring of the patient´s response to various therapeutic interventions and helps guide treatments.

conclusionEIT provides unique information that may help the ventilation management in the pandemic of COVID-19.

Indexed as

Electric ImpedanceCOVID-19HumansLungMaleMiddle AgedPatient PositioningPositive-Pressure RespirationRespiration, ArtificialRespiratory Distress SyndromeSARS-CoV-2TomographyVentilator WeaningAcute respiratory distress syndromeCOVID-19Electrical impedance tomographyPersonalizing ventilation strategiesTitrate of positive end-expiratory pressure

Identifiers

PMID33482796
PMCPMC7820832
OpenAlexW3124838846

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.