Evidence map›Paper›PMID 37123712›Full record

ReviewCureus2023

The Role of Computed Tomography in the Management of Hospitalized Patients With COVID-19.

Mikael Mir, Sydney Boike, Taylor Benedict, Holly Olson, Abbas B Jama, Usman Anwer, Syed Anjum Khan

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

7 authors at 1 institution in 1 country.

Mikael MirMedicine, University of Minnesota Medical School, Minneapolis, USA.
Sydney BoikeMedicine, University of Minnesota Medical School, Minneapolis, USA.
Taylor BenedictMedicine, University of Minnesota Medical School, Minneapolis, USA.
Holly OlsonMedicine, University of Minnesota Medical School, Minneapolis, USA.
Abbas B JamaCritical Care Medicine, Mayo Clinic Mankato, Mankato, USA.
Usman AnwerRadiology, Mayo Clinic Mankato, Mankato, USA.
Syed Anjum KhanCritical Care Medicine, Mayo Clinic Mankato, Minnesota, USA.
Minnesota State University, Mankato · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of SARS-CoV-2 at the end of 2019 sparked the beginning of the COVID-19 pandemic. Even though it was a novel virus, the workup of suspected COVID-19 included standard protocols used for the investigation of similar respiratory infections and pneumonia. One of the most important diagnostic tests in this regard is computed tomography (CT). CT scans have a high sensitivity in diagnosing COVID-19, and many of the characteristic imaging findings of COVID-19 are used in its diagnosis. The role of CT in COVID-19 management is expanding as more and more hospital practices adopt regular CT use in both the initial workup and continued care of COVID-19 patients. CT has helped hospitalists diagnose complications such as pulmonary embolism, subcutaneous emphysema, pneumomediastinum, pneumothoraces, and nosocomial pneumonia. Although mainly used as a diagnostic tool, the prognostic role of CT in COVID-19 patients is developing. In this review, we explore the role of CT in the management of hospitalized patients with COVID-19, specifically elucidating its use as a diagnostic and prognostic modality, as well as its ability to guide hospital decision-making regarding complex cases. We will highlight important time points when CT scans are used: the initial encounter, the time at admission, and during hospitalization.

Indexed as

computed tomography pulmonary angiographycovid-19covid-19 pneumoniact (computed tomography) imagingground-glass opacityhospitalized covid 19outcomes in covid-19 hospitalizationsthromboembolism

Identifiers

PMID37123712
PMCPMC10139731
OpenAlexW4361213703

What OpenQuestion holds

Textmetadata
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.