Evidence map›Paper›PMID 33185697›Full record

ReviewDer Anaesthesist2021

[Lung ultrasound in COVID-19].

A Seibel, W Heinz, C-A Greim, S Weber

Open access · bronzeAbstract readReview
In one paragraph

Review in Der Anaesthesist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. New International Guidelines and Consensus on the Use of Lung Ultrasound.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2023
    Review
  3. Article
  4. Advances in airborne microorganisms detection using biosensors: A critical review.Frontiers of environmental science & engineering · 2021
    Review
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

4 authors at 2 institutions in 1 country.

A SeibelKlinik für Anästhesiologie, Intensiv- und Notfallmedizin, Diakonie Klinikum Jung-Stilling, 57074, Siegen, Deutschland. sonoacademy.seibel@gmail.com.
W HeinzKlinik für Innere Medizin II, Helios Klinik Rottweil, Rottweil, Deutschland.
C-A GreimKlinik für Anästhesiologie, Intensiv- und Notfallmedizin, Klinikum Fulda, Fulda, Deutschland.
S WeberKlinik für Anästhesie, Intensivmedizin und Schmerztherapie, Heilig Geist-Krankenhaus, Köln, Deutschland.
Klinikum Fulda · DEKrankenhaus vom Roten Kreuz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing medical care to patients suffering from the coronavirus disease 2019 (COVID-19) pandemic is a major challenge for government healthcare systems around the world. The new coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), shows a high organ specificity for the lower respiratory tract. Since there is so far no effective treatment or vaccination against the virus, early diagnostic recognition is of great importance. Due to the specific aspects of the infection, which mainly begins in the peripheral lung parenchyma, lung ultrasonography is suitable as a diagnostic imaging method to identify suspected cases as such in the early stages of the disease. Serial ultrasound examinations on patients with confirmed COVID-19 can promptly detect changes in the affected lung tissue at the bedside. This article summarizes the diagnostic potential of lung ultrasound with respect to screening and therapeutic decision-making in patients with suspected or confirmed SARS-CoV‑2 pneumonia.

Indexed as

COVID-19COVID-19 TestingHumansLungPandemicsUltrasonographyAir bronchogrammB‑linesCoronavirusLung consolidationsSARS-CoV-2

Identifiers

PMID33185697
PMCPMC7664170
OpenAlexW3102353663

What OpenQuestion holds

Textmetadata
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.