Evidence map›Paper›PMID 34958741›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls.

Cauã O Rocha, Tássia A D Prioste, Carlo S Faccin, Luciano Folador, Mateus S Tonetto, Pedro G Knijnik, Natalia B Mainardi, Rogério B Borges, Tiago S Garcia

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Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Cauã O RochaRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil; Postgraduate Program in Pneumological Sciences, Universidade Federal do Rio Grande do Sul, RS, Brazil. Electronic address: caua.rocha@gmail.com.
Tássia A D PriosteRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil.
Carlo S FaccinRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil.
Luciano FoladorRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil.
Mateus S TonettoRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil; Postgraduate Program in Pneumological Sciences, Universidade Federal do Rio Grande do Sul, RS, Brazil.
Pedro G KnijnikSchool of Medicine, Universidade Federal do Rio Grande do Sul, RS, Brazil.
Natalia B MainardiSchool of Medicine, Universidade Federal do Rio Grande do Sul, RS, Brazil.
Rogério B BorgesBiostatistics Unit, Graduate Research Group (GPPG), Hospital de Clínicas de Porto Alegre, RS, Brazil.
Tiago S GarciaRadiology Department, Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil; Postgraduate Program in Pneumological Sciences, Universidade Federal do Rio Grande do Sul, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic accuracy of the Radiological Society of North America (RSNA) classification system for coronavirus disease 2019 (COVID-19) pneumonia compared to pre-pandemic chest computed tomography (CT) scan images to mitigate the risk of bias regarding the reference standard. MATERIALS AND

methodsThis was a retrospective, cross-sectional, diagnostic test accuracy study. Chest CT scans, carried out from May 1 to June 30, 2020, and from May 1 to July 17, 2017, were consecutively selected for the COVID-19 (positive reverse transcription-polymerase chain reaction [RT-PCR] for severe acute respiratory syndrome coronavirus 2 result) and control (pre-pandemic) groups, respectively. Four expert thoracic radiologists blindly interpreted each CT scan image. Sensitivity and specificity were calculated.

resultsA total of 160 chest CT scan images were included: 79 in the COVID-19 group (56 [43.5-67] years old, 41 men) and 81 in the control group (62 [52-72] years old, 44 men). Typically, an estimated specificity of 98.5% (95% confidence interval [CI] 98.1%-98.4%) was obtained. For the indeterminate classification as a diagnostic threshold, an estimated sensitivity of 88.3% (95% CI 84.7%-91.7%) and a specificity of 79.0% (95% CI 74.5%-83.4%), with an area under the curve of 0.865 (95% CI 0.838-0.895), were obtained.

conclusionThe RSNA classification system shows strong diagnostic accuracy for COVID-19 pneumonia, even against pre-pandemic controls. It can be an important aid in clinical decision-making, especially when a typical or indeterminate pattern is found, possibly advising retesting following an initial negative RT-PCR result and streamlining early management and isolation.

Indexed as

COVID-19PneumoniaAdultAgedCross-Sectional StudiesHumansLungMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Sensitivity and SpecificityChest CTCOVID-19 pneumoniaPre-pandemic controlsRSNA classification

Identifiers

PMID34958741
PMCPMC8683265

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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.