Evidence map›Paper›PMID 35683419›Full record

ArticleJournal of clinical medicine2022

Lung Ultrasound Improves Outcome Prediction over Clinical Judgment in COVID-19 Patients Evaluated in the Emergency Department.

Paolo Bima, Emanuele Pivetta, Denise Baricocchi, Jacopo Davide Giamello, Francesca Risi, Matteo Vesan, Michela Chiarlo, Giuliano De Stefano, Enrico Ferreri, Giuseppe Lauria and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

16 authors at 6 institutions in 1 country.

Paolo BimaMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.ORCID 0000-0003-2193-0509
Emanuele PivettaMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.
Denise BaricocchiScuola di Specializzazione in Medicina d'Emergenza-Urgenza, Università degli Studi di Torino, 10126 Torino, Italy.
Jacopo Davide GiamelloScuola di Specializzazione in Medicina d'Emergenza-Urgenza, Università degli Studi di Torino, 10126 Torino, Italy.ORCID 0000-0002-5085-3074
Francesca RisiMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.
Matteo VesanMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.
Michela ChiarloMedicina e Chirurgia d'Accettazione e d'Urgenza, Ospedale San Giovanni Bosco, 10154 Torino, Italy.
Giuliano De StefanoMedicina e Chirurgia di Urgenza e Accettazione, A.O.U. Careggi, 50134 Firenze, Italy.
Enrico FerreriMedicina e Chirurgia d'Accettazione e d'Urgenza, Ospedale Maria Vittoria, 10144 Torino, Italy.
Giuseppe LauriaMedicina d'Urgenza, A.O.S. Croce e Carle, 12100 Cuneo, Italy.ORCID 0000-0001-8721-1828
Stefano PodioScuola di Specializzazione in Medicina d'Emergenza-Urgenza, Università degli Studi di Torino, 10126 Torino, Italy.
Peiman NazerianMedicina e Chirurgia di Urgenza e Accettazione, A.O.U. Careggi, 50134 Firenze, Italy.
Franco ApràMedicina e Chirurgia d'Accettazione e d'Urgenza, Ospedale San Giovanni Bosco, 10154 Torino, Italy.
Enrico LupiaMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.ORCID 0000-0003-2719-1217
Fulvio MorelloMedicina d'Urgenza-MECAU, Presidio Molinette, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy.
On Behalf Of The Coded Study Investigators
Presidio Ospedaliero · ITAzienda Ospedaliero-Universitaria Careggi · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITOspedale San Giovanni Bosco · ITUniversity of Turin · ITOspedale Maria Vittoria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Emergency Department (ED), the decision to hospitalize or discharge COVID-19 patients is challenging. We assessed the utility of lung ultrasound (LUS), alone or in association with a clinical rule/score. This was a multicenter observational prospective study involving six EDs (NCT046291831). From October 2020 to January 2021, COVID-19 outpatients discharged from the ED based on clinical judgment were subjected to LUS and followed-up at 30 days. The primary clinical outcome was a composite of hospitalization or death. Within 393 COVID-19 patients, 35 (8.9%) reached the primary outcome. For outcome prognostication, LUS had a C-index of 0.76 (95%CI 0.68−0.84) and showed good performance and calibration. LUS-based classification provided significant differences in Kaplan−Meier curves, with a positive LUS leading to a hazard ratio of 4.33 (95%CI 1.95−9.61) for the primary outcome. The sensitivity and specificity of LUS for primary outcome occurrence were 74.3% (95%CI 59.8−88.8) and 74% (95%CI 69.5−78.6), respectively. The integration of LUS with a clinical score further increased sensitivity. In patients with a negative LUS, the primary outcome occurred in nine (3.3%) patients (p < 0.001 vs. unselected). The efficiency for rule-out was 69.7%. In unvaccinated ED patients with COVID-19, LUS improves prognostic stratification over clinical judgment alone and may support standardized disposition decisions.

Indexed as

COVID-19dispositionlung ultrasoundmortalityprognosisscore

Identifiers

PMID35683419
PMCPMC9181775
OpenAlexW4281778536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.