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ArticleBioMed research international2021

Pulmonary Artery Filling Defects in COVID-19 Patients Revealed Using CT Pulmonary Angiography: A Predictable Complication?

Arnaldo Scardapane, Laura Villani, Davide Fiore Bavaro, Francesca Passerini, Amato Antonio Stabile Ianora, Nicola Maria Lucarelli, Gioacchino Angarano, Piero Portincasa, Vincenzo Ostilio Palmieri, Annalisa Saracino

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Predictive scores for the diagnosis of Pulmonary Embolism in COVID-19: A systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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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

10 authors at 1 institution in 1 country.

Arnaldo ScardapaneInterdisciplinary Department of Medicine-Section of Diagnostic Imaging, University Hospital "Policlinico" of Bari Medical School, Italy.ORCID https://orcid.org/0000-0002-6116-5701
Laura VillaniInterdisciplinary Department of Medicine-Section of Diagnostic Imaging, University Hospital "Policlinico" of Bari Medical School, Italy.
Davide Fiore BavaroDepartment of Biomedical Sciences and Human Oncology, Clinic of Infectious Diseases, University Hospital "Policlinico" of Bari Medical School, Italy.
Francesca PasseriniDepartment of Biomedical Sciences and Human Oncology-Division of Internal Medicine "Augusto Murri", University Hospital "Policlinico" of Bari Medical School, Italy.
Amato Antonio Stabile IanoraInterdisciplinary Department of Medicine-Section of Diagnostic Imaging, University Hospital "Policlinico" of Bari Medical School, Italy.
Nicola Maria LucarelliInterdisciplinary Department of Medicine-Section of Diagnostic Imaging, University Hospital "Policlinico" of Bari Medical School, Italy.
Gioacchino AngaranoDepartment of Biomedical Sciences and Human Oncology, Clinic of Infectious Diseases, University Hospital "Policlinico" of Bari Medical School, Italy.
Piero PortincasaDepartment of Biomedical Sciences and Human Oncology-Division of Internal Medicine "Augusto Murri", University Hospital "Policlinico" of Bari Medical School, Italy.
Vincenzo Ostilio PalmieriDepartment of Biomedical Sciences and Human Oncology-Division of Internal Medicine "Augusto Murri", University Hospital "Policlinico" of Bari Medical School, Italy.
Annalisa SaracinoDepartment of Biomedical Sciences and Human Oncology, Clinic of Infectious Diseases, University Hospital "Policlinico" of Bari Medical School, Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study is aimed at assessing the prevalence of pulmonary artery filling defects (PAFDs) consistent with pulmonary artery embolism (PAE) in patients with SARS-CoV-2 infection and at investigating possible radiological or clinical predictors. MATERIALS AND

methodsComputed Tomography Pulmonary Angiographies (CTPAs) from 43 consecutive patients with a confirmed COVID-19 infection were retrospectively reviewed, taking into consideration the revised Geneva score and the D-dimer value for each patient. Filling defects within the pulmonary arteries were recorded along with pleural and parenchymal findings such as ground glass opacities, consolidation, crazy paving, linear consolidation, and pleural effusion. All these variables were compared between patients with and without PAFD. The predictive performance of statistically different parameters was investigated using the receiver operating characteristics (ROC).

resultsPulmonary embolism was diagnosed in 15/43 patients (35%), whereas CTPA and parenchymal changes related to pulmonary COVID-19 disease were evident in 39/43 patients (91%). The revised Geneva score and the mean D-dimer value obtained using two consecutive measurements were significantly higher in patients with PAFD. The ROC analysis demonstrated that a mean D-dimer value is the parameter with the higher predictivity (AUC 0.831) that is a cut-off value > 1800

conclusionsThis single centre retrospective report shows a high prevalence of pulmonary artery filling defects revealed using CTPA in COVID-19 patients and demonstrates that the mean value of multiple D-dimer measurements may represent a predicting factor of this complication.

Indexed as

AdultAgedComputed Tomography AngiographyCOVID-19FemaleFibrin Fibrinogen Degradation ProductsHumansLungMaleMiddle AgedPrevalencePulmonary ArteryPulmonary EmbolismRetrospective StudiesROC CurveSARS-CoV-2Fibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID33778084
PMCPMC7958141
OpenAlexW3133595142

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Registered trials

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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.