Evidence map›Paper›PMID 33487473›Full record

ArticleUltrasound in medicine & biology2021

Lung Assessment with Point-of-Care Ultrasound in Respiratory Coronavirus Disease (COVID-19): A Prospective Cohort Study.

Victor Speidel, Anna Conen, Valentin Gisler, Christoph A Fux, Sebastian Haubitz

Open access · hybridAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. 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

5 authors at 1 institution in 1 country.

Victor SpeidelDepartment of Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland; University Clinic of Internal Medicine, Kantonsspital Aarau, Aarau, Switzerland; Department of Emergency Medicine, Oberaargau Regional Hospital, Langenthal, Switzerland. Electronic address: v.speidel@sro.ch.
Anna ConenDepartment of Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland; University Clinic of Internal Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Valentin GislerUniversity Clinic of Internal Medicine, Kantonsspital Aarau, Aarau, Switzerland; Institute for Laboratory Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Christoph A FuxDepartment of Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland; University Clinic of Internal Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Sebastian HaubitzDepartment of Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland; University Clinic of Internal Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Kantonsspital Aarau · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung ultrasound (LUS) has shown promising diagnostic potential in different pulmonary conditions. We evaluated the diagnostic accuracy of LUS for pulmonary COVID-19. In this prospective cohort study at a Swiss tertiary care center, patients hospitalized with suspected COVID-19 were scanned using a 12-zone protocol. Association of a summation score (0-36 points) with the final diagnosis was tested using the area under the receiver operating characteristic curve and sensitivity and specificity at different cutoff points. Of the 49 participants, 11 (22%) were later diagnosed with COVID-19. LUS score showed excellent diagnostic performance, with an odds ratio of 1.30 per point (95% confidence interval [CI], 1.09-1.54, p = 0.003) and an area under the curve of 0.85 (95% CI, 0.71-0.99). At a cutoff of 8/36 points, 10 of 11 participants later diagnosed with COVID-19 were correctly predicted (sensitivity 91%, 95% CI, 59%-100%), and 29 of the 38 who were not diagnosed with COVID-19 were correctly ruled out (specificity 76%, 95% CI, 60%-89%). LUS demonstrated promising discriminatory potential in people hospitalized with suspected COVID-19.

Indexed as

Point-of-Care SystemsAdultAgedAged, 80 and overCohort StudiesCOVID-19FemaleHumansLungMaleMiddle AgedProspective StudiesReproducibility of ResultsSARS-CoV-2Sensitivity and SpecificityUltrasonographyCoronavirus diseaseCOVID-19Interstitial syndromeLung ultrasoundPleura ultrasoundPneumoniaPoint of care ultrasoundSARS-CoV-2

Identifiers

PMID33487473
PMCPMC7834656
OpenAlexW3116421948

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.