Evidence map›Paper›PMID 34021219›Full record

Observational studyScientific reports2021

Point-of-care lung ultrasound in COVID-19 patients: inter- and intra-observer agreement in a prospective observational study.

Markus H Lerchbaumer, Jonathan H Lauryn, Ulrike Bachmann, Philipp Enghard, Thomas Fischer, Jana Grune, Niklas Hegemann, Dmytro Khadzhynov, Jan Matthias Kruse, Lukas J Lehner and 7 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Lung ultrasound in respiratory therapy: a global reflective survey.Multidisciplinary respiratory medicine · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Ultrasonographic assessment of pulmonary and Central venous congestion in experimental heart failure.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

17 authors at 4 institutions in 3 countries.

Markus H Lerchbaumer *Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Jonathan H Lauryn *Institute of Physiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Ulrike BachmannDepartment of Emergency Medicine (CVK, CCM), Charité - Universitätsmedizin, Berlin, Germany.
Philipp EnghardDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Thomas FischerDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Jana GruneInstitute of Physiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Niklas HegemannInstitute of Physiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Dmytro KhadzhynovDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Jan Matthias KruseDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Lukas J LehnerDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Tobias LindnerDepartment of Emergency Medicine (CVK, CCM), Charité - Universitätsmedizin, Berlin, Germany.
Timur OezkanDepartment of Emergency Medicine (CVK, CCM), Charité - Universitätsmedizin, Berlin, Germany.
Daniel ZicklerDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Wolfgang M KueblerInstitute of Physiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Bernd HammDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Kai-Uwe EckardtDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Frédéric MuenchDepartment of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. frederic.muench@charite.de.
Charité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DEHumboldt-Universität zu Berlin · DESt. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With an urgent need for bedside imaging of coronavirus disease 2019 (COVID-19), this study's main goal was to assess inter- and intraobserver agreement in lung ultrasound (LUS) of COVID-19 patients. In this single-center study we prospectively acquired and evaluated 100 recorded ten-second cine-loops in confirmed COVID-19 intensive care unit (ICU) patients. All loops were rated by ten observers with different subspeciality backgrounds for four times by each observer (400 loops overall) in a random sequence using a web-based rating tool. We analyzed inter- and intraobserver variability for specific pathologies and a semiquantitative LUS score. Interobserver agreement for both, identification of specific pathologies and assignment of LUS scores was fair to moderate (e.g., LUS score 1 Fleiss' κ = 0.27; subpleural consolidations Fleiss' κ = 0.59). Intraobserver agreement was mostly moderate to substantial with generally higher agreement for more distinct findings (e.g., lowest LUS score 0 vs. highest LUS score 3 (median Fleiss' κ = 0.71 vs. 0.79) or air bronchograms (median Fleiss' κ = 0.72)). Intraobserver consistency was relatively low for intermediate LUS scores (e.g. LUS Score 1 median Fleiss' κ = 0.52). We therefore conclude that more distinct LUS findings (e.g., air bronchograms, subpleural consolidations) may be more suitable for disease monitoring, especially with more than one investigator and that training material used for LUS in point-of-care ultrasound (POCUS) should pay refined attention to areas such as B-line quantification and differentiation of intermediate LUS scores.

Indexed as

Point-of-Care SystemsSARS-CoV-2COVID-19FemaleHumansLungMaleMiddle AgedMonitoring, PhysiologicObserver VariationProspective StudiesUltrasonography

Identifiers

PMID34021219
PMCPMC8139973
OpenAlexW3161646982

What OpenQuestion holds

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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.