Evidence map›Paper›PMID 33123790›Full record

ArticleEuropean radiology2021

The accuracy of teleradiologists in diagnosing COVID-19 based on a French multicentric emergency cohort.

Hubert Nivet, Amandine Crombé, Paul Schuster, Thomas Ayoub, Laurent Pourriol, Nicolas Favard, Alban Chazot, Florian Alonzo-Lacroix, Emile Youssof, Alexandre Ben Cheikh and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 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

20 authors at 7 institutions in 1 country.

Hubert NivetImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Amandine CrombéImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Paul SchusterImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Thomas AyoubDeeplink Medical, 22 rue Seguin, 69002, Lyon, France.
Laurent PourriolImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Nicolas FavardImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Alban ChazotImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Florian Alonzo-LacroixImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Emile YoussofImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Alexandre Ben CheikhImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Julien BaliqueImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Basile PortaImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
François PetitpierreImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Grégoire BouquetImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Charles MastierImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Flavie BratanImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Jean-François BergerotImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Vivien ThomsonImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Nathan BanasteImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
Guillaume GorincourImadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France. g.gorincour@imadis.fr.
Générale de Santé · FRCentre Hospitalier Saint-Joseph Saint-Luc · FRCentre Léon Bérard · FRHôpital Nord · FRHôpital Privé Jean Mermo · FRImagerie Médicale et Radiothérapie Drôme Ardèche · FRInstitut Bergonié · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the accuracy of diagnoses of COVID-19 based on chest CT as well as inter-observer agreement between teleradiologists during on-call duty and senior radiologists in suspected COVID-19 patients. MATERIALS AND

methodsFrom March 13, 2020, to April 14, 2020, consecutive suspected COVID-19 adult patients who underwent both an RT-PCR test and chest CT from 15 hospitals were included in this prospective study. Chest CTs were immediately interpreted by the on-call teleradiologist and were systematically blind reviewed by a senior radiologist. Readings were categorised using a five-point scale: (1) normal; (2) non-infectious findings; (3) infectious findings but not consistent with COVID-19 infection; (4) consistent with COVID-19 infection; and (5) typical appearance of COVID-19 infection. The diagnostic accuracy of chest CT and inter-observer agreement using the kappa coefficient were evaluated over the study period.

resultsIn total, 513 patients were enrolled, of whom 244/513 (47.6%) tested positive for RT-PCR. First readings were scored 4 or 5 in 225/244 (92%) RT-PCR+ patients, and between 1 and 3 in 201/269 (74.7%) RT-PCR- patients. The data were highly consistent (weighted kappa = 0.87) and correlated with RT-PCR (p < 0.001, AUC

conclusionChest CT demonstrated high diagnostic accuracy with strong inter-observer agreement between on-call teleradiologists with varying degrees of experience and senior radiologists over the study period. KEY POINTS: • The accuracy of readings by on-call teleradiologists, relative to second readings by senior radiologists, demonstrated a sensitivity of 0.75-0.79, specificity of 0.92-0.97, NPV of 0.80-0.83, and PPV of 0.89-0.96, based on "typical appearance," as predictive of RT-PCR+. • Inter-observer agreement between the first reading in the emergency setting and the second reading by the senior emergency teleradiologist was excellent (weighted kappa = 0.87).

Indexed as

Coronavirus InfectionsCOVID-19AdultEmergency Service, HospitalHumansProspective StudiesSARS-CoV-2Sensitivity and SpecificityCOVID-19Emergency serviceHospitalPolymerase chain reactionTeleradiologyTomography, X-ray computed

Identifiers

PMID33123790
PMCPMC7594948
OpenAlexW3095599535

What OpenQuestion holds

Textmetadata
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.