Evidence map›Paper›PMID 35068179›Full record

ArticleActa radiologica (Stockholm, Sweden : 1987)2023

The association between the CT severity index and the pulmonary artery area in COVID-19 pneumonia.

Gokhan Ongen, Gokhan Gokalp, Omer Fatih Nas, Rifat Ozpar, Selman Candan

Open access · greenAbstract read
In one paragraph

Article in Acta radiologica (Stockholm, Sweden : 1987), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Gokhan OngenSchool of Medicine, Department of Radiology, Bursa Uludag University, Bursa, Turkey.ORCID 0000-0002-7348-0813
Gokhan GokalpSchool of Medicine, Department of Radiology, Bursa Uludag University, Bursa, Turkey.ORCID 0000-0002-3682-2474
Omer Fatih NasSchool of Medicine, Department of Radiology, Bursa Uludag University, Bursa, Turkey.ORCID 0000-0001-6211-4191
Rifat OzparSchool of Medicine, Department of Radiology, Bursa Uludag University, Bursa, Turkey.ORCID 0000-0001-6649-9287
Selman CandanMinistry of Health, Department of Radiology, Kelkit State Hospital, Gumushane, Turkey.ORCID 0000-0002-4742-296X
Bursa Uludağ Üni̇versi̇tesi̇ · TRMinistry of Health · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pulmonary artery area (PAA) is a valuable non-invasive method for the diagnosis of pulmonary hypertension. PURPOSE: To compare the change in PAA in patients with COVID-19 with the computed tomography (CT) severity index using follow-up imaging. MATERIAL AND

methodsA total of 81 patients who were followed up and underwent CT assessment more than once at our hospital's pandemic department were evaluated retrospectively. Patients with progression were separated into three groups: progression ranging from mild-to-mild infiltration (Group A, CT severity index of 0-2); progression from mild to severe infiltration (Group B, CT severity index of 0-2 to 3-5); and progression from severe-to-severe infiltration (Group C, CT severity index of 3-5). The PAAs were calculated separately.

resultsThe mean age was 56 ± 12 years. In terms of those patients showing progression in the CT images, the number of patients in Groups A, B, and C was 29, 40, and 12 in the right lung; 32, 45, and 4 in the left lung; 23, 45, and 13 on both lungs, respectively. There was no significant difference between the main, right, and left PAAs in Group A (

conclusionPAAs increase as disease involvement advances in cases with COVID-19 pneumonia, which is thought to be correlated with progression.

Indexed as

COVID-19AdultAgedHumansLungMiddle AgedPulmonary ArteryRetrospective StudiesSeverity of Illness IndexTomography, X-Ray Computedcomputed tomography severity indexCOVID-19pulmonary artery area

Identifiers

PMID35068179
PMCPMC10291215
OpenAlexW4207083354

What OpenQuestion holds

Textmetadata
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.