Evidence map›Paper›PMID 33372194›Full record

SynthesisScientific reports2020

A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis.

Fatemeh Khatami, Mohammad Saatchi, Seyed Saeed Tamehri Zadeh, Zahra Sadat Aghamir, Alireza Namazi Shabestari, Leonardo Oliveira Reis, Seyed Mohammad Kazem Aghamir

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 4 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

61 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. The prognostic significance of insulin resistance in COVID-19: a review.Journal of diabetes and metabolic disorders · 2024
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Cost-effectiveness analysis of COVID-19 tests in the unified health system.Cost effectiveness and resource allocation : C/E · 2023
    Article
  18. Article
  19. COVID-19 rapid molecular point-of-care testing is effective and cost-beneficial for the acute care of trauma patients.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

7 authors.

Fatemeh KhatamiUrology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad SaatchiDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Saeed Tamehri ZadehUrology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Zahra Sadat AghamirFaculty of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Namazi ShabestariDepartment of Geriatric Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Leonardo Oliveira ReisUroScience and Department of Surgery (Urology), School of Medical Sciences, University of Campinas, Unicamp, and Pontifical Catholic University of Campinas, PUC-Campinas, Campinas, São Paulo, Brazil.
Seyed Mohammad Kazem AghamirUrology Research Center, Tehran University of Medical Sciences, Tehran, Iran. mkaghamir@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays there is an ongoing acute respiratory outbreak caused by the novel highly contagious coronavirus (COVID-19). The diagnostic protocol is based on quantitative reverse-transcription polymerase chain reaction (RT-PCR) and chests CT scan, with uncertain accuracy. This meta-analysis study determines the diagnostic value of an initial chest CT scan in patients with COVID-19 infection in comparison with RT-PCR. Three main databases; PubMed (MEDLINE), Scopus, and EMBASE were systematically searched for all published literature from January 1st, 2019, to the 21st May 2020 with the keywords "COVID19 virus", "2019 novel coronavirus", "Wuhan coronavirus", "2019-nCoV", "X-Ray Computed Tomography", "Polymerase Chain Reaction", "Reverse Transcriptase PCR", and "PCR Reverse Transcriptase". All relevant case-series, cross-sectional, and cohort studies were selected. Data extraction and analysis were performed using STATA v.14.0SE (College Station, TX, USA) and RevMan 5. Among 1022 articles, 60 studies were eligible for totalizing 5744 patients. The overall sensitivity, specificity, positive predictive value, and negative predictive value of chest CT scan compared to RT-PCR were 87% (95% CI 85-90%), 46% (95% CI 29-63%), 69% (95% CI 56-72%), and 89% (95% CI 82-96%), respectively. It is important to rely on the repeated RT-PCR three times to give 99% accuracy, especially in negative samples. Regarding the overall diagnostic sensitivity of 87% for chest CT, the RT-PCR testing is essential and should be repeated to escape misdiagnosis.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCOVID-19COVID-19 TestingFemaleHumansInfantLungMaleMiddle AgedReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2

Identifiers

PMID33372194
PMCPMC7769992

What OpenQuestion holds

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LicenceCC BY
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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.