Evidence map›Paper›PMID 32862289›Full record

ArticleEuropean radiology2021

Observer agreement and clinical significance of chest CT reporting in patients suspected of COVID-19.

Marie-Pierre Debray, Helena Tarabay, Lisa Males, Nisrine Chalhoub, Elyas Mahdjoub, Thomas Pavlovsky, Benoît Visseaux, Donia Bouzid, Raphael Borie, Catherine Wackenheim and 6 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 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Pooled it
  3. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2021
    Pooled it
  4. Blood fibrocytes are associated with severity and prognosis in COVID-19 pneumonia.American journal of physiology. Lung cellular and molecular physiology · 2021
    Trial
  5. Review
  6. 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

16 authors at 4 institutions in 1 country.

Marie-Pierre DebrayDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France. marie-pierre.debray@aphp.fr.ORCID http://orcid.org/0000-0003-2109-5662
Helena TarabayDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Lisa MalesDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Nisrine ChalhoubDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Elyas MahdjoubDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Thomas PavlovskyDepartment of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Benoît VisseauxLaboratoire de Virologie, Hôpital Bichat Claude Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Donia BouzidDepartment of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Raphael BorieInserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France.
Catherine WackenheimDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Bruno CrestaniInserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France.
Christophe RiouxDepartment of Infectious Diseases, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Loukbi SakerDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Christophe ChoquetDepartment of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Jimmy MullaertUniversité de Paris, IAME, INSERM, Paris, France.
Antoine KhalilDepartment of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Assistance Publique – Hôpitaux de Paris · FRInserm · FRDélégation Paris 7 · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess interobserver agreement and clinical significance of chest CT reporting in patients suspected of COVID-19.

methodsFrom 16 to 24 March 2020, 241 consecutive patients addressed to hospital for COVID-19 suspicion had both chest CT and SARS-CoV-2 RT-PCR. Eight observers (2 thoracic and 2 general senior radiologists, 2 junior radiologists, and 2 emergency physicians) retrospectively categorized each CT into one out of 4 categories (evocative, compatible for COVID-19 pneumonia, not evocative, and normal). Observer agreement for categorization between all readers and pairs of readers with similar experience was evaluated with the Kappa coefficient. The results of a consensus categorization were correlated to RT-PCR.

resultsObserver agreement across the 4 categories was good between all readers (κ value 0.61 95% CI 0.60-0.63) and moderate to good between pairs of readers (0.54-0.75). It was very good (κ 0.81 95% CI 0.79-0.83), fair (κ 0.32 95% CI 0.29-0.34), moderate (κ 0.56 95% CI 0.54-0.58), and moderate (0.58 95% CI 0.56-0.61) for the categories evocative, compatible, not evocative, and normal, respectively. RT-PCR was positive in 97%, 50%, 31%, and 11% of cases in the respective categories. Observer agreement was lower (p < 0.001) and RT-PCR positive cases less frequently categorized evocative in the presence of an underlying pulmonary disease (p < 0.001).

conclusionInterobserver agreement for chest CT reporting using categorization of findings is good in patients suspected of COVID-19. Among patients considered for hospitalization in an epidemic context, CT categorized evocative is highly predictive of COVID-19, whereas the predictive value of CT decreases between the categories compatible and not evocative. KEY POINTS: • In patients suspected of COVID-19, interobserver agreement for chest CT reporting into categories is good, and very good to categorize CT "evocative." • Chest CT can participate in estimating the likelihood of COVID-19 in patients presenting to hospital during the outbreak, CT categorized "evocative" being highly predictive of the disease whereas almost a third of patients with CT "not evocative" had a positive RT-PCR in our study. • Observer agreement is lower and CTs of positive RT-PCR cases less frequently "evocative" in presence of an underlying pulmonary disease.

Indexed as

AgedConsensusCOVID-19FemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedCoronavirus infectionsPneumoniaTomography, X-ray computed

Identifiers

PMID32862289
PMCPMC7456359
OpenAlexW3082131040

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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.