Evidence map›Paper›PMID 34768337›Full record

ArticleJournal of clinical medicine2021

Prediction Accuracy of Serial Lung Ultrasound in COVID-19 Hospitalized Patients (Pred-Echovid Study).

Juan Torres-Macho, Marcos Sánchez-Fernández, Irene Arnanz-González, Yale Tung-Chen, Ana Isabel Franco-Moreno, Mercedes Duffort-Falcó, Luis Beltrán-Romero, Santiago Rodríguez-Suaréz, Máximo Bernabeu-Wittel, Elena Urbano and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 2 syntheses or guidelines 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

14 authors at 6 institutions in 1 country.

Juan Torres-MachoInternal Medicine Department, Infanta Leonor-Virgen de la Torre University Hospital, 28031 Madrid, Spain.
Marcos Sánchez-FernándezInternal Medicine Department, Doce de Octubre University Hospital, 28041 Madrid, Spain.
Irene Arnanz-GonzálezDepartment of Medicine, School of Medicine, Complutense University, 28040 Madrid, Spain.
Yale Tung-ChenEmergency Department, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-5613-3609
Ana Isabel Franco-MorenoInternal Medicine Department, Infanta Leonor-Virgen de la Torre University Hospital, 28031 Madrid, Spain.
Mercedes Duffort-FalcóInternal Medicine Department, Infanta Leonor-Virgen de la Torre University Hospital, 28031 Madrid, Spain.
Luis Beltrán-RomeroInternal Medicine Department, Virgen del Rocío University Hospital, 41013 Sevilla, Spain.
Santiago Rodríguez-SuarézInternal Medicine Department, Virgen del Rocío University Hospital, 41013 Sevilla, Spain.
Máximo Bernabeu-WittelInternal Medicine Department, Virgen del Rocío University Hospital, 41013 Sevilla, Spain.ORCID 0000-0003-4574-4110
Elena UrbanoInternal Medicine Department, Hospital Clínico San Carlos, 28040 Madrid, Spain.
Manuel Méndez-BailonDepartment of Medicine, School of Medicine, Complutense University, 28040 Madrid, Spain.
Fernando Roque-RojasInternal Medicine Department, Hospital Universitario Infanta Cristina, 28981 Parla, Madrid, Spain.
Elena García-GuijarroInternal Medicine Department, Hospital Universitario Infanta Cristina, 28981 Parla, Madrid, Spain.
Gonzalo García-CasasolaDepartment of Medicine, School of Medicine, Complutense University, 28040 Madrid, Spain.ORCID 0000-0002-5171-7373
Universidad Complutense de Madrid · ESHospital Universitario Virgen del Rocío · ESHospital Universitario Infanta Cristina · ESHospital Clínico San Carlos · ESHospital Universitario La Paz · ESResearch Institute Hospital 12 de Octubre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The value of serial lung ultrasound (LUS) in patients with COVID-19 is not well defined. In this multicenter prospective observational study, we aimed to assess the prognostic accuracy of serial LUS in patients admitted to hospital due to COVID-19. The serial LUS protocol included two examinations (0-48 h and 72-96 h after admission) using a 10-zones sequence, and a 0 to 5 severity score. Primary combined endpoint was death or the need for invasive mechanical ventilation. Calibration (Hosmer-Lemeshow test and calibration curves), and discrimination power (area under the ROC curve) of both ultrasound exams (SCORE1 and 2), and their difference (DIFFERENTIAL-SCORE) were performed. A total of 469 patients (54.2% women, median age 60 years) were included. The primary endpoint occurred in 51 patients (10.9%). Probability risk tertiles of SCORE1 and SCORE2 (0-11 points, 12-24 points, and ≥25 points) obtained a high calibration. SCORE-2 showed a higher discrimination power than SCORE-1 (AUC 0.72 (0.58-0.85) vs. 0.61 (0.52-0.7)). The DIFFERENTIAL-SCORE showed a higher discrimination power than SCORE-1 and SCORE-2 (AUC 0.78 (0.66-0.9)). An algorithm for clinical decision-making is proposed. Serial lung ultrasound performing two examinations during the first days of hospitalization is an accurate strategy for predicting clinical deterioration of patients with COVID-19.

Indexed as

COVID-19lung ultrasoundpneumoniapoint-of-care ultrasoundprognosis

Identifiers

PMID34768337
PMCPMC8584928
OpenAlexW3205238545

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.