Evidence map›Paper›PMID 36365031›Full record

ArticlePathogens (Basel, Switzerland)2022

Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia.

Sergio Críales-Vera, Huitzilihuitl Saucedo-Orozco, Pedro Iturralde-Torres, Gustavo Martínez-Mota, Estefanía Dávila-Medina, Verónica Guarner-Lans, Linaloe Manzano-Pech, Israel Pérez-Torres, María Elena Soto

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 1 country.

Sergio Críales-VeraDepartment of Computed Tomography, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0001-5343-0280
Huitzilihuitl Saucedo-OrozcoCardioneumology Department, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0002-4156-6364
Pedro Iturralde-TorresInstituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.
Gustavo Martínez-MotaDepartment of Computed Tomography, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.
Estefanía Dávila-MedinaDepartment of Computed Tomography, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.
Verónica Guarner-LansDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0002-2655-7590
Linaloe Manzano-PechDepartment of Cardiovascular Biomedicine, Instituto Nacional de Cardiologíaa Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.
Israel Pérez-TorresDepartment of Cardiovascular Biomedicine, Instituto Nacional de Cardiologíaa Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0001-6510-2954
María Elena SotoDepartment of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, Del. Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0003-1332-2888
Instituto Nacional de Cardiología · MXCentro Médico ABC · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation in medical emergencies of COVID-19 patients represents a challenge to regulate preventive and timely management. There are key imaging and laboratory tools to classify the severity. The aim of the study was to evaluate the chest CT score performance and prognostic indices in COVID-19 patients to predict the progression to critical illness. This was a retrospective study between run between April and December 2020, in which 109 patients were included. Patients of any age and gender and who required hospitalization due to a confirmed COVID-19 diagnosis by RT-PCR and chest CT and laboratory were analyzed. In 75% of them, there was at least one comorbidity, and 30% developed critical illness, and the average mortality was 10%. In 49.5%, there was a CORADS-5 on admission, and in 50%, there was a peripheral distribution of the interstitial infiltrate in the left lower lobe. The risk factors were FiO2, CT score > 18, and the NRL index. The combination of the high-risk Quick COVID-19 Severity Index (qCSI) plus CT score > 18 indices was the best prediction index for the development of a critical condition. The combined use of indices in infected COVID-19 patients showed diagnostic accuracy and predicted severity. Imaging and the laboratory tests are key tools independent of the wave of recurrence.

Indexed as

chest tomographyclassification of severitycombined indexesCOVID-19

Identifiers

PMID36365031
PMCPMC9697491
OpenAlexW4307988552

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.