Evidence map›Paper›PMID 34355824›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2021

Prognostic utility of pulmonary artery and ascending aorta diameters derived from computed tomography in COVID-19 patients.

Mehmet Erdoğan, Selçuk Öztürk, Mehmet Akif Erdöl, Ahmet Kasapkara, Muhammed Said Beşler, Bircan Kayaaslan, İmran Hasanoğlu, Tahir Durmaz, Rahmet Güner

Open access · bronzeAbstract read
In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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.

Mehmet ErdoğanDepartment of Cardiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.ORCID 0000-0002-2747-3823
Selçuk ÖztürkDepartment of Cardiology, Faculty of Medicine, Bozok University Yozgat, Ankara, Turkey.
Mehmet Akif ErdölDepartment of Cardiology, Ministry of Health, Ankara Bilkent City Hospital, Ankara, Turkey.ORCID 0000-0002-2721-440X
Ahmet KasapkaraDepartment of Cardiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.
Muhammed Said BeşlerDepartment of Radiology, Ministry of Health, Ankara Bilkent City Hospital, Ankara, Turkey.
Bircan KayaaslanDepartment of Infectious Disease and Clinical Microbiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.
İmran HasanoğluDepartment of Infectious Disease and Clinical Microbiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.
Tahir DurmazDepartment of Cardiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.
Rahmet GünerDepartment of Infectious Disease and Clinical Microbiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey.
Ankara Yıldırım Beyazıt University · TRMinistry of Health · TRYozgat Bozok Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimChest computed tomography (CT) imaging plays a diagnostic and prognostic role in Coronavirus disease 2019 (COVID-19) patients. This study aimed to investigate and compare predictive capacity of main pulmonary artery diameter (MPA), ascending aorta diameter (AAo), and MPA-to-AAo ratio to determine in-hospital mortality in COVID-19 patients. MATERIALS AND

methodsThis retrospective study included 255 hospitalized severe or critical COVID-19 patients. MPA was measured at the level of pulmonary artery bifurcation perpendicular to the direction of the vessel through transverse axial images and AAo was measured by using the same CT slice at its maximal diameter. MPA-to-AAo ratio was calculated by division of MPA to AAo.

resultsMultivariate logistic regression model yielded MPA ≥29.15 mm (OR: 4.95, 95% CI: 2.01-12.2, p = 0.001), MPA (OR: 1.28, 95% CI: 1.13-1.46, p < 0.001), AAo (OR: .90, 95% CI: .81-.99, p = 0.040), and MPA-to-AAo ratio ≥.82 (OR: 4.67, 95% CI: 1.86-11.7, p = 0.001) as independent predictors of in-hospital mortality. Time-dependent multivariate Cox-proportion regression model demonstrated MPA ≥29.15 mm (HR: 1.96, 95% CI: 1.03-3.90, p = 0.047) and MPA (HR: 1.08, 95% CI: 1.01-1.17, p = 0.048) as independent predictors of in-hospital mortality, whereas AAo and MPA-to-AAo ratio did not reach statistical significance.

conclusionPulmonary artery enlargement strongly predicts in-hospital mortality in hospitalized COVID-19 patients. MPA, which can be calculated easily from chest CT imaging, can be beneficial in the prognostication of these patients.

Indexed as

COVID-19AortaHumansPrognosisPulmonary ArteryRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computedascending aortacomputed tomographyCOVID-19pulmonary artery

Identifiers

PMID34355824
PMCPMC8444889
OpenAlexW3191984012

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.