Evidence map›Paper›PMID 32785803›Full record

ArticleInsights into imaging2020

Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal.

E Neri, F Coppola, A R Larici, N Sverzellati, M A Mazzei, P Sacco, G Dalpiaz, B Feragalli, V Miele, R Grassi

Abstract read
In one paragraph

Article in Insights into imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  7. Immunotherapy Assessment: A New Paradigm for Radiologists.Diagnostics (Basel, Switzerland) · 2023
    Review
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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.

E NeriDiagnostic and Interventional Radiology, Department of Translational Research, Università degli Studi di Pisa, Radiodiagnostica 3, Via Roma 67 -, 56126, Pisa, SD, Italy. emanuele.neri@med.unipi.it.ORCID http://orcid.org/0000-0001-7950-4559
F CoppolaMalpighi Radiology Unit, Department of Diagnostic and Preventive Medicine, University Hospital of Bologna Sant'Orsola-Malpighi Polyclinic, Bologna, Italy.
A R LariciSection of Radiology, Department of Radiological and Hematological Sciences, Catholic University of the Sacred Heart Rome Campus, "Agostino Gemelli" University Polyclinic Foundation IRCCS, Roma, Italy.
N SverzellatiDivision of Radiology, Department of Medicine and Surgery, University of Parma, Parma, Italy.
M A MazzeiDepartment of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
P SaccoDiagnostic Imaging Unit, Department of Medical, Surgical and Neuro Sciences, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
G DalpiazDepartment of Radiology, Bellaria Carlo Alberto Pizzardi Hospital, Bologna, Italy.
B FeragalliDepartment of Medical, Oral and Biotechnological Sciences, University G. d'Annunzio Chieti-Pescara, Chieti, Italy.
V MieleDepartment of Radiology, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy.
R GrassiDepartment of Clinical and Experimental Medicine, "F. Magrassi-A. Lanzara", University of Campania Luigi Vanvitelli, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe need of a standardized reporting scheme and language, in imaging of COVID-19 pneumonia, has been welcomed by major scientific societies. The aim of the study was to build the reporting scheme of chest CT in COVID-19 pneumonia.

methodsA team of experts, of the Italian Society of Medical and Interventional Radiology (SIRM), has been recruited to compose a consensus panel. They used a modified Delphi process to build a reporting scheme and expressed a level of agreement for each section of the report. To measure the internal consistency of the panelist ratings for each section of the report, a quality analysis based on the average inter-item correlation was performed with Cronbach's alpha (Cα) correlation coefficient.

resultsThe overall mean score of the experts and the sum of score were 3.1 (std.dev. ± 0.11) and 122 in the second round, and improved to 3.75 (std.dev. ± 0.40) and 154 in the third round. The Cronbach's alpha (Cα) correlation coefficient was 0.741 (acceptable) in the second round and improved to 0.789 in the third round. The final report was built in the management of radiology report template (MRRT) and includes n = 4 items in the procedure information, n = 5 items in the clinical information, n = 16 in the findings, and n = 3 in the impression, with overall 28 items.

conclusionsThe proposed structured report could be of help both for expert radiologists and for the less experienced who are faced with the management of these patients. The structured report is conceived as a guideline, to recommend the key items/findings of chest CT in COVID-19 pneumonia.

Indexed as

Computed tomographyCOVID-19Structured reporting

Identifiers

PMID32785803
PMCPMC7422456

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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.