Evidence map›Paper›PMID 34300197›Full record

ArticleJournal of clinical medicine2021

The Combination of Chest Computed Tomography and Standard Electrocardiogram Provides Prognostic Information and Pathophysiological Insights in COVID-19 Pneumonia.

Matteo Bertini, Emanuele D'Aniello, Alberto Cereda, Marco Toselli, Filippo Maria Verardi, Luca Rossi, Daniela Aschieri, Alberto Monello, Marco Manfrini, Davide Vignale and 5 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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, 6 citations in OpenAlex.

  1. Observational
  2. Article
  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

15 authors at 5 institutions in 1 country.

Matteo BertiniCardiological Center, Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-5285-7140
Emanuele D'AnielloCardiological Center, Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0001-5275-6086
Alberto CeredaMaria Cecilia Hospital, 48033 Cotignola, Italy.ORCID 0000-0001-7325-4229
Marco ToselliMaria Cecilia Hospital, 48033 Cotignola, Italy.
Filippo Maria VerardiCardiological Center, Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-0760-6609
Luca RossiCardiology Unit, Ospedale Guglielmo da Saliceto, 29121 Piacenza, Italy.
Daniela AschieriCardiology Unit, Ospedale Civile di Castel San Giovanni, 29015 Castel San Giovanni, Italy.ORCID 0000-0002-1577-5402
Alberto MonelloCardiology Unit, Ospedale Guglielmo da Saliceto, 29121 Piacenza, Italy.
Marco ManfriniMaria Cecilia Hospital, 48033 Cotignola, Italy.ORCID 0000-0003-3154-9269
Davide VignaleClinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Ospedale San Raffaele, 20132 Milano, Italy.
Anna PalmisanoClinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Ospedale San Raffaele, 20132 Milano, Italy.
Antonio EspositoClinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Ospedale San Raffaele, 20132 Milano, Italy.ORCID 0000-0002-1170-6266
Roberto FerrariCardiological Center, Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0003-2046-9175
Claudio RapezziCardiological Center, Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy.
Francesco GianniniMaria Cecilia Hospital, 48033 Cotignola, Italy.
University of Ferrara · ITMaria Cecilia Hospital · ITVita-Salute San Raffaele University · ITGuglielmo da Saliceto Hospital · ITNuovo Ospedale San Giovanni di Dio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSeveral studies have unveiled the great heterogeneity of COVID-19 pneumonia. Identification of the "vascular phenotype" (involving both pulmonary parenchyma and its circulation) has prognostic significance. Our aim was to explore the combined role of chest computed tomography (CT) scan and electrocardiogram (ECG) at hospital admission in predicting short-term prognosis and to draw pathophysiological insights. METHODS AND

resultsWe analyzed the chest CT scan and ECG performed at admission in 151 consecutive COVID-19 patients admitted between 20 March and 4 April 2020. All-cause mortality within 30 days was the primary endpoint. Median age was 71 years (IQR: 62-76). Severe pneumonia was present in 25 (17%) patients, and 121 (80%) had abnormal ECG. During a median follow-up of 7 days (IQR: 4-13), 54 (36%) patients died. Deceased patients had more severe pneumonia than survivors did (80% vs. 64%,

conclusionsCombining chest CT scan and ECG data improves risk stratification in COVID-19 pneumonia by identifying a distinctive phenotype with both parenchymal and vascular damage of the lung. Patients with severe pneumonia at chest CT scan plus ECG signs of acute RV strain have an extremely poor short-term prognosis.

Indexed as

chest CTCOVID-19ECG

Identifiers

PMID34300197
PMCPMC8303750
OpenAlexW3181944812

What OpenQuestion holds

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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.