Evidence map›Paper›PMID 33785247›Full record

ReviewThe Journal of emergency medicine2021

COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19.

Di Coneybeare, Devjani Das, Penelope Lema, Bernard Chang, Lorraine Ng

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of emergency medicine, 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
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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.

Di ConeybeareDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York.
Devjani DasDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York.
Penelope LemaDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York.
Bernard ChangDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York.
Lorraine NgDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York.
NewYork–Presbyterian Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with coronavirus disease 2019 (COVID-19) present with diagnostic challenges because COVID-19 can cause varied end-organ failures that mimic respiratory distress of pulmonary origin. Early identification of concurrent complications can significantly alter patient management and course. Point-of-care ultrasound (POCUS) can be particularly useful in helping to differentiate concomitant complications with COVID-19. While lung POCUS findings related to COVID-19 have been published, little guidance exists on how ultrasound can be incorporated into a more comprehensive evaluation of patients under investigation for COVID-19.

objectivesWe devised a pathway called COVUS that incorporates POCUS into the initial evaluation of patients under investigation for COVID-19 to guide diagnosis and management. DISCUSSION: The pathway was derived based on a review of literature, consensus from the ultrasound faculty, as well as feedback from the entire faculty group at one academic institution with high volumes of patients with COVID-19. The scanning protocol uses a cardiac-first (rather than lung-first) approach to identify potential concomitant organ failure that may immediately alter management.

conclusionsCOVUS aims to maximize identification of the most immediately life-threatening complications while minimizing time at bedside and provider risk of exposure to COVID-19.

Indexed as

COVID-19Point-of-Care SystemsAlgorithmsHumansSARS-CoV-2Ultrasonography2019 novel coronavirus infectionalgorithmbedside technologycardiomyopathypoint-of-care ultrasoundthromboembolic

Identifiers

PMID33785247
PMCPMC7871761
OpenAlexW3128182655

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.