Evidence map›Paper›PMID 33590456›Full record

ReviewJournal of ultrasound2021

Diagnostic imaging in COVID-19 pneumonia: a literature review.

Sarah Campagnano, Flavia Angelini, Giovanni Battista Fonsi, Simone Novelli, Francesco Maria Drudi

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of ultrasound, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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.

Sarah CampagnanoDepartment of Radiological, Oncological and Path Sciences, Sapienza University of Rome, Rome, Italy.
Flavia AngeliniDepartment of Radiological, Oncological and Path Sciences, Sapienza University of Rome, Rome, Italy.
Giovanni Battista FonsiDepartment of Surgery Pietro Valdoni, Sapienza University of Rome, Rome, Italy.
Simone NovelliDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.
Francesco Maria DrudiDepartment of Radiological, Oncological and Path Sciences, Sapienza University of Rome, Rome, Italy. francescom.drudi@uniroma1.it.
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In December 2019 in Wuhan (China), a bat-origin coronavirus (2019-nCoV), also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified, and the World Health Organization named the related disease COVID-19. Its most severe manifestations are pneumonia, systemic and pulmonary thromboembolism, acute respiratory distress syndrome (ARDS), and respiratory failure. A swab test is considered the gold standard for the diagnosis of COVID-19 despite the high number of false negatives. Radiologists play a crucial role in the rapid identification and early diagnosis of pulmonary involvement. Lung ultrasound (LUS) and computed tomography (CT) have a high sensitivity in detecting pulmonary interstitial involvement. LUS is a low-cost and radiation-free method, which allows a bedside approach and needs disinfection of only a small contact area, so it could be particularly useful during triage and in intensive care units (ICUs). High-resolution computed tomography (HRCT) is particularly useful in evaluating disease progression or resolution, being able to identify even the smallest changes.

Indexed as

COVID-19HumansLungPneumoniaSARS-CoV-2UltrasonographyCOVID-19CTPneumoniaSARS-CoV-2UltrasoundUS

Identifiers

PMID33590456
PMCPMC7884066
OpenAlexW3133191496

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.