Evidence map›Paper›PMID 33871709›Full record

Observational studyEuropean radiology2021

Efficacy of chest CT scan for COVID-19 diagnosis in a low prevalence and incidence region.

Clément Thomas, Mathieu Naudin, Jean-Pierre Tasu, Charles Leclerc, Lucas Depaire, Marie Subervillle, Mathilde Vionnet, Rémy Guillevin, Guillaume Herpe

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04339686 (Multicentric Retrospective Observational Study of Thoracic Scanner Performance in COVID Screening. Comparison to Virological Testing and Multiparametric Gold Standard), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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.

NCT04339686 unknown statusnot on this map

Multicentric Retrospective Observational Study of Thoracic Scanner Performance in COVID Screening. Comparison to Virological Testing and Multiparametric Gold Standard

TypeobservationalSponsorPoitiers University HospitalRan2020 to 2020Enrolled56,000ConditionsThe Gold Standard for Current SARS CoV2 Detection is RT-PCRArmsThoracic CT Scan
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. COVID-19 and spontaneous pneumothorax: a survival analysis.Journal of cardiothoracic surgery · 2023
    Article
  3. Systemic sclerosis in the time of COVID-19.The Lancet. Rheumatology · 2022
    Review
  4. 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 at 4 institutions in 2 countries.

Clément ThomasRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Mathieu NaudinDactim Mis, LMA, UMR CNRS 7348, Poitiers, Vienne, France.
Jean-Pierre TasuRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Charles LeclercHospital Centre of Royan, Charente-Maritime, Royan, France.
Lucas DepaireRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Marie SubervillleRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Mathilde VionnetRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Rémy GuillevinRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France.
Guillaume HerpeRadiology Department, University Hospital Centre Poitiers, Poitiers, Vienne, France. guillaume.herpe@chu-poitiers.fr.ORCID http://orcid.org/0000-0002-4775-4120
Centre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Poitiers · FRInserm · FRKyocera (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesValue of chest CT was mainly studied in area of high COVID-19 incidence. The aim of this study was therefore to evaluate chest CT performances to diagnose COVID-19 pneumonia with regard to RT-PCR as reference standard in a low incidence area.

methodsA survey was sent to radiology department in 4 hospitals in an administrative French region of weak disease prevalence (3.4%). Study design was approved by the local institutional review board and recorded on the clinicaltrial.gov website (NCT04339686). Written informed consent was waived due to retrospective anonymized data collection. Patients who underwent a RT-PCR and a chest CT scan within 48 h for COVID-19 pneumonia suspicion were consecutively included. Diagnostic accuracy including the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of chest CT regarding RT-PCR as reference standard were calculated.

resultsOne hundred twenty-nine patients had abnormal chest CT findings compatible with a COVID-19 pneumonia (26%, 129/487). Among the 358 negative chest CT findings, 3% (10/358) were RT-PCR positive. Chest CT sensitivity, specificity, positive, and negative predictive value were respectively 87% (IC95: 85, 89; 69/79), 85% (IC95: 83, 87; 348/408), 53% (IC95: 50, 56; 69/129), and 97% (IC95: 95, 99; 348/358).

conclusionsIn a low prevalence area, chest CT scan is a good diagnostic tool to rule out COVID-19 infection among symptomatic suspected patients. KEY POINTS: • In a low prevalence area (3.4% in the administrative area and 5.8% at mean in the study) chest CT sensitivity and specificity for diagnosing COVID-19 pneumonia were 87% and 85% respectively. • In patients with negative chest CT for COVID-19 pneumonia, the negative predictive value of COVID-19 infection was 97% (348/358 subjects). • Performance of CT was equivalent between the 4 centers participating to this study.

Indexed as

COVID-19COVID-19 TestingHumansIncidencePrevalenceRetrospective StudiesSARS-CoV-2Sensitivity and SpecificityTomography, X-Ray ComputedCOVID-19Sensitivity and specificityThoraxTomography, X-ray computed

Identifiers

PMID33871709
PMCPMC8054502
OpenAlexW3153440028

What OpenQuestion holds

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Registered trials

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.