Evidence map›Paper›PMID 36769577›Full record

ArticleJournal of clinical medicine2023

Role of Renal Parenchyma Attenuation and Perirenal Fat Stranding in Chest CT of Hospitalized Patients with COVID-19.

Elisa Russo, Alberto Stefano Tagliafico, Lorenzo Derchi, Bianca Bignotti, Simona Tosto, Carlo Martinoli, Alessio Signori, Francesca Brigati, Francesca Viazzi

Abstract read
In one paragraph

Article in Journal of clinical medicine, 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
–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. Review
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.

Elisa RussoNephrology Unit, Ospedale San Luca, 55100 Lucca, Italy.ORCID 0000-0003-1279-3178
Alberto Stefano TagliaficoDepartment of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy.ORCID 0000-0003-1736-0697
Lorenzo DerchiRadiologic Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Bianca BignottiDepartment of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy.
Simona TostoDepartment of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy.
Carlo MartinoliRadiologic Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Alessio SignoriDepartment of Experimental Medicine (DIMES), University of Genova, 16126 Genova, Italy.
Francesca BrigatiDepartment of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Francesca ViazziDepartment of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-4219-7043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest CT on coronavirus disease (COVID-19) has been extensively investigated. Acute kidney injury (AKI) has been widely described among COVID patients, but the role of kidney imaging has been poorly explored. The aim of this study is to clarify the role of opportunistic kidney assessment on non-enhanced chest CT.

methodsWe collected data on patients with COVID-19 consecutively admitted to our institution who underwent chest CT (including the upper parts of kidneys as per protocol). Three ROIs of 0.5-0.7 cm

results86 patients with COVID-19 and unenhanced chest CT were analyzed. The cohort was split into CT RPA quartiles. Patients with a CT RPA <24 HU were more likely to develop AKI when compared with other patients (χ

conclusionsDetection of low RPA values and of PFS in COVID-19 patients independently predicts, respectively, the occurrence of AKI and an increased risk for mortality. Therefore, opportunistic kidney assessment during chest CT could help physicians in defining diagnostic and therapeutic strategies.

Indexed as

acute kidney injurycomputed tomographyCOVIDmortality riskperirenal fat strandingrenal parenchyma attenuationSARS-CoV-2

Identifiers

PMID36769577
PMCPMC9918001

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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.