Evidence map›Paper›PMID 33432268›Full record

ArticleFuture science OA2020

The use of chest ultrasonography in suspected cases of COVID-19 in the emergency department.

Enrico Allegorico, Carlo Buonerba, Giorgio Bosso, Antonio Pagano, Giovanni Porta, Claudia Serra, Pasquale Dolce, Valentina Minerva, Ferdinando Dello Vicario, Concetta Altruda and 14 more

Open access · goldAbstract read
In one paragraph

Article in Future science OA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 29% 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, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  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

24 authors at 6 institutions in 1 country.

Enrico AllegoricoDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Carlo BuonerbaDepartment of Oncology & Hematology, Regional Reference Center for Rare Tumors, AOU Federico II of Naples, 80131 Naples, Italy.
Giorgio BossoDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Antonio PaganoDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Giovanni PortaDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Claudia SerraDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Pasquale DolceDepartment of Public Health, Federico II University, 80131 Naples, Italy.
Valentina MinervaDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Ferdinando Dello VicarioDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Concetta AltrudaDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Paola ArboDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Teresa RussoDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Chiara De SioDepartment of Medical & Surgical Sciences, Università della Campania "Luigi Vanvitelli", 80131 Naples, Italy.
Nicoletta FrancoInternal Medicine, AOU Federico II of Naples, 80131 Naples, Italy.
Gianluca RuffaDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Cinzia MormileDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Francesca CannavacciuoloA.O.R.N."San Giuseppe Moscati", Internal Medicine Department, 83100 Avellino, Italy.
Valentina MercurioDepartment of Public Health, Federico II University, 80131 Naples, Italy.
Gelsomina GervasioDepartment of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Giuseppe Di CostanzoDepartment of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Alfonso RagozzinoDepartment of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Luca ScafuriDepartment of Clinical Medicine & Surgery, University Federico II of Naples, Via Pansini 5, 80131 Naples, Italy.
Gaetano FacchiniDepartment of Hospital Medicine, Unit of Medical Oncology, ASL Napoli 2 Nord, "S.M. delle Grazie" Hospital, Pozzuoli (NA), Italy.
Fabio NumisDepartment of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Ospedale Santa Maria · ITFederico II University Hospital · ITUniversity of Naples Federico II · ITAzienda Ospedaliera S.Giuseppe Moscati · ITIstituto Zooprofilattico Sperimentale del Mezzogiorno · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus-specific reverse transcriptase-polymerase chain reaction (RT-PCR) represents the diagnostic gold standard. We explored the value of chest ultrasonography to predict positivity to SARS-CoV-2 on RT-PCR in suspected COVID-19 cases. PATIENTS &

methodsConsecutive patients with suspect COVID-19 were included if they had fever and/or history of cough and/or dyspnea. Lung ultrasound score (LUSS) was computed according to published methods.

resultsA total of 76 patients were included. A 3-variable model based on aspartate transaminase (AST) > upper limit of normal, LUSS >12 and body temperature >37.5°C yielded an overall accuracy of 91%.

conclusionA simple LUSS-based model may represent a powerful tool for initial assessment in suspected cases of COVID-19.

Indexed as

COVID-19lung ultrasoundRT-PCRSARS-CoV-2

Identifiers

PMID33432268
PMCPMC7745656
OpenAlexW3108167067

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.