Evidence map›Paper›PMID 33658944›Full record

ArticleFrontiers in physiology2021

Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.

Alysson Roncally Silva Carvalho, Alan Guimarães, Thiego de Souza Oliveira Garcia, Gabriel Madeira Werberich, Victor Fraga Ceotto, Fernando Augusto Bozza, Rosana Souza Rodrigues, Joana Sofia F Pinto, Willian Rebouças Schmitt, Walter Araujo Zin and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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, 7 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

11 authors at 5 institutions in 2 countries.

Alysson Roncally Silva CarvalhoCardiovascular R&D Centre (UnIC), Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Porto, Portugal.
Alan GuimarãesLaboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Thiego de Souza Oliveira GarciaMedical Faculty, Universidade Estácio de Sá, Rio de Janeiro, Brazil.
Gabriel Madeira WerberichDepartment of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Victor Fraga CeottoHospital Niteroi D'Or, Niterói, Brazil.
Fernando Augusto BozzaD'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Rosana Souza RodriguesDepartment of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Joana Sofia F PintoRadiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal.
Willian Rebouças SchmittRadiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal.
Walter Araujo ZinLaboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Manuela FrançaRadiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal.
Universidade Federal do Rio de Janeiro · BRCentro Hospitalar do Porto · PTUniversidade do Porto · PTD’Or Institute for Research and Education · BREstácio (Brazil) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 pneumonia extension is assessed by computed tomography (CT) with the ratio between the volume of abnormal pulmonary opacities (PO) and CT-estimated lung volume (CT PURPOSES: To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CT

methodsChest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCT

resultsIn controls, CT

conclusionThe proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification.

Indexed as

computed tomographyCOVID-19CT-estimated lung volumeCT-estimated lung weightdeep learning

Identifiers

PMID33658944
PMCPMC7917083
OpenAlexW3129739543

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.