Evidence map›Paper›PMID 38882633›Full record

ArticleEuropean journal of radiology open2024

Roles of spectral dual-layer CT, D-dimer concentration, and COVID-19 pneumonia in diagnosis of pulmonary embolism.

Tomáš Jůza, Vlastimil Válek, Daniel Vlk, Marek Dostál, Tomáš Andrašina

Abstract read
In one paragraph

Article in European journal of radiology open, 2024. 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
–field-weighted citation impact
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.

  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.

Tomáš JůzaDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 340/20, Brno 625 00, Czech Republic.
Vlastimil VálekDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 340/20, Brno 625 00, Czech Republic.
Daniel VlkDepartment of Biophysics, Faculty of Medicine, Masaryk University, Kamenice 126/3, Brno 625 00, Czech Republic.
Marek DostálDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 340/20, Brno 625 00, Czech Republic.
Tomáš AndrašinaDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 340/20, Brno 625 00, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To demonstrate advantages of spectral dual-layer computed tomography (CT) in diagnosing pulmonary embolism (PE). To compare D-dimer values in patients with PE and concomitant COVID-19 pneumonia to those in patients without PE and COVID-19 pneumonia. To compare D-dimer values in cases of minor versus extensive PE. Methods: A monocentric retrospective study of 1500 CT pulmonary angiographies (CTPAs). Three groups of 500 consecutive examinations: 1) using conventional multidetector CT (CTC), 2) using spectral dual-layer CT (CTS), and 3) of COVID-19 pneumonia patients using spectral dual-layer CT (COV). Only patients with known D-dimer levels were enrolled in the study. Results: Prevalence of inconclusive PE findings differed significantly between CTS and CTC (0.8 % vs. 5.4 %, Conclusion: CTPAs using spectral dual-layer CT reduce the number of inconclusive PE findings. Plasma D-dimer concentration increases with extent of PE. Cut-off value of D-dimer with 100 % sensitivity for patients with COVID-19 pneumonia could be doubled to 1.0 mg/L. This threshold would have saved 110 (22 %) examinations in our cohort.

Indexed as

COVID-19D-dimerDual-energy CTPulmonary embolismSpectral CT

Identifiers

PMID38882633
PMCPMC11179566

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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.