Evidence map›Paper›PMID 34200028›Full record

Observational studyInternational journal of environmental research and public health2021

The Risk of Hospitalization in COVID-19 Patients Can Be Predicted by Lung Ultrasound in Primary Care.

Javier Martínez-Redondo, Carles Comas, Jesús Pujol Salud, Montserrat Crespo-Pons, Cristina García-Serrano, Marta Ortega Bravo, Jose María Palacín Peruga

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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 3 institutions in 1 country.

Javier Martínez-RedondoBalaguer Primary Care Center, Institut Català de la Salut (ICS), 25600 Lleida, Spain.
Carles ComasDepartment of Mathematics, Campus Cappont, University of Lleida, 25001 Lleida, Spain.
Jesús Pujol SaludBalaguer Primary Care Center, Institut Català de la Salut (ICS), 25600 Lleida, Spain.
Montserrat Crespo-PonsBalaguer Primary Care Center, Institut Català de la Salut (ICS), 25600 Lleida, Spain.
Cristina García-SerranoBalaguer Primary Care Center, Institut Català de la Salut (ICS), 25600 Lleida, Spain.
Marta Ortega BravoResearch Group in Therapies in Primary Care (GRETAPS), 25007 Lleida, Spain.ORCID 0000-0002-0765-6841
Jose María Palacín PerugaOnze de Setembre Primary Care Center, Institut Català de la Salut (ICS), Passeig Onze de Setembre, 25005 Lleida, Spain.
Institut Català de la Salut · ESUniversitat de Lleida · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ES

Funding

Consell comarcal La Noguera
6 · The paper itself

Abstract

backgroundThe usefulness of Lung Ultrasound (LUS) for the diagnosis of interstitial syndrome caused by COVID-19 has been broadly described. The aim of this study was to evaluate if LUS may predict the complications (hospital admission) of COVID-19 pneumonia in primary care patients.

methodsThis observational study collects data from a cohort of 279 patients with clinical symptoms of COVID-19 pneumonia who attended the Balaguer Primary Health Care Area between 16 March 2020 and 30 September 2020. We collected the results of LUS scans reported by one general practitioner. We created a database and analysed the absolute and relative frequencies of LUS findings and their association with hospital admission. We found that different LUS patterns (diffuse, attenuated diffuse, and predominantly unilateral) were risk factors for hospital admission (

conclusionThe lung ultrasound was useful to predict complications in COVID-19 pneumonia and to diagnose other lung diseases such as cancer, tuberculosis, pulmonary embolism, chronic interstitial pneumopathy, pleuropericarditis, pneumonia or heart failure.

Indexed as

COVID-19HospitalizationHumansLungPrimary Health CareSARS-CoV-2Ultrasonographyassessment riskCOVID-19hospitalizationlung interstitial diseaseprimary health-careultrasound

Identifiers

PMID34200028
PMCPMC8200245
OpenAlexW3168533815

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.