Evidence map›Paper›PMID 36317095›Full record

ArticleRadiology case reports2023

Evaluation of coronavirus-2019-related arterial thrombosis in noncontrast spectral computed tomography with electron density imaging.

Junji Mochizuki, Takeshi Nakaura, Hiroaki Matsumi, Yoshiki Hata

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Junji MochizukiDepartment of Radiology, Minamino Cardiovascular Hospital, 1-25-1 Hyoue, Hachioji, Tokyo 192-0918, Japan.
Takeshi NakauraDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hiroaki MatsumiDepartment of Cardiology, Minamino Cardiovascular Hospital, 1-25-1 Hyoue, Hachioji, Tokyo 192-0918, Japan.
Yoshiki HataDepartment of Cardiology, Minamino Cardiovascular Hospital, 1-25-1 Hyoue, Hachioji, Tokyo 192-0918, Japan.
Cardiovascular Institute Hospital · JPKumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombosis can be associated with coronavirus disease 2019 infection. Computed tomography is essential for the diagnosis of pneumonia in these patients and conventionally contrast agents are required for the assessment of thrombus. In this study, we report a patient with coronavirus disease 2019 who was diagnosed with thrombosis using spectral noncontrast computed tomography with electron density imaging. The patient was a 76-year-old man who presented with a 2-day history of lower-leg pain. Tachycardia and atrial fibrillation were identified, with elevated D-dimer, N-terminal pro-B-type natriuretic peptide, creatine kinase, and C-reactive protein levels. Polymerase chain reaction testing for severe acute respiratory syndrome coronavirus-2 was positive. Conventional computed tomography showed pulmonary changes consistent with coronavirus disease 2019 and no changes in the aorta, but spectral computed tomography with electron density imaging of noncontrast computed tomography showed a thrombus in the right external iliac artery. Spectral computed tomography with electron density imaging provides more data compared with conventional computed tomography and has the potential to depict thrombus without the use of contrast media.

Indexed as

Computed tomographyContrast mediaCOVID-19ElectronsThrombosis

Identifiers

PMID36317095
PMCPMC9612951
OpenAlexW4307897780

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.