Evidence map›Paper›PMID 33717868›Full record

ArticleRespiratory medicine case reports2021

Usefulness of serial lung ultrasound for a severe COVID-19 patient on extracorporeal membrane oxygenation.

Hayato Taniguchi, Souichi Ohta, Hiroshi Honzawa, Kouhei Takahashi, Masayuki Iwashita, Takeru Abe, Ichiro Takeuchi

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory medicine case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Article
  2. Review
  3. Review
  4. Article
  5. 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.

Hayato TaniguchiAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Souichi OhtaAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Hiroshi HonzawaAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Kouhei TakahashiAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Masayuki IwashitaAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Takeru AbeAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.
Ichiro TakeuchiAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minamiku, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) is the most reliable method to evaluate the progression of COVID-19 pneumonitis. However, in a pandemic, transportation of critically ill invasively ventilated patients to radiology facilities is challenging, especially for those on extracorporeal membrane oxygenation (ECMO). Notably, lung ultrasound (LUS) is a favored alternative imaging modality due to its ease of use at the point of care, which reduces the infectious risk of exposure and transmission; repeatability; absence of radiation exposure; and low cost. We demonstrated that serial LUS compares favorably with other imaging modalities in terms of usefulness for evaluating lung aeration and recovery in an ECMO-managed COVID-19 patient.

Indexed as

Coronavirus diseaseLung ultrasoundPatient self-inflicted lung injuryPoint-of-care ultrasoundVeno-venous extracorporeal membrane oxygenation

Identifiers

PMID33717868
PMCPMC7939979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.