Evidence map›Paper›PMID 35261033›Full record

SynthesisJournal of clinical ultrasound : JCU2022

The diagnostic performance of lung ultrasound for detecting COVID-19 in emergency departments: A systematic review and meta-analysis.

Reem Jari, Abdulrahman M Alfuraih, James R McLaughlan

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical ultrasound : JCU, 2022. 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
2.6field-weighted citation impact, top 10% 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, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Reply.Medicina clinica (English ed.) · 2023
    Article
  8. Seeing is Believing: The Import of Lung Ultrasound!Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  9. 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

3 authors at 2 institutions in 2 countries.

Reem JariLeeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-7161-0426
Abdulrahman M AlfuraihRadiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.ORCID https://orcid.org/0000-0002-4655-7248
James R McLaughlanInstitute of Robotics, Autonomous Systems and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-5795-4372
University of Leeds · GBPrince Sattam Bin Abdulaziz University · SA

Funding

UK Research and Innovation EP/V043714/1
6 · The paper itself

Abstract

purposeTo perform a systematic review and meta-analysis of published literature investigating the use of lung ultrasound (LUS) on COVID-19 patients, in emergency point of care settings, and to determine its diagnostic value compared with lung computed tomography (LCT) diagnostic performance. Whilst using the real-time polymerase chain reaction test as the 'gold standard'.

methodsLiterature searches were performed on MEDLINE, Embase, Web of Science, and PubMed databases for eligible studies. The LUS and LCT pooled diagnostic performance were measured using DerSimonian-Laird random effect method.

resultOut of a total of 158 studies, 16 met the eligibility criteria and were included in this review. The pooled sensitivity, specificity, positive and negative likelihood ratios were 86.9%, 62.4%, 2.4 and 0.19, respectively for LUS and 93.5%, 72.6%, 3.3 and 0.05, respectively for LCT.

conclusionThe lung ultrasound (LUS) demonstrated acceptable sensitivity but poor specificity when used independently to diagnose COVID-19 pneumonia patients in emergency departments, while the lung computed tomography showed higher performance. Thus, LUS can be used to supplement existing diagnostic tools and possibly for the triage of patients.

Indexed as

COVID-19Emergency Service, HospitalHumansLungPoint-of-Care SystemsUltrasonographyCOVID-19lung computed tomographylung ultrasoundmeta-analysissystematic review

Identifiers

PMID35261033
PMCPMC9088324
OpenAlexW4221007310

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.