Evidence map›Paper›PMID 32101510›Full record

ArticleRadiology2020

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia

11 registry-linked trialsOpen access · greenAbstract readComparative Study
In one paragraph

Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 11 registered trials, which are not on this map. Cited by 2,740 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,740citing papers in PubMed, 4 pooled it
145.6field-weighted citation impact, top 1% 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.

NCT04316728 naunknown statusnot on this map

Clinical Performance of the VivaDiag ™ COVID-19 lgM / IgG Rapid Test in a Cohort of Negative Patients for Coronavirus Infection for the Early Detection of Positive Antibodies for COVID-19

TypeinterventionalSponsorCentro Studi Internazionali, ItalyRan2020 to 2020Enrolled200ConditionsCoronavirus InfectionsArmsVivaDiag™ COVID-19 lgM/IgG Rapid Test
NCT04355507 completednot on this map

Computed Tomography for Coronavirus Disease 19 Diagnosis

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2020 to 2020Enrolled10,735ConditionsCOVID-19ArmsChest computed tomography (CT), Reverse-transcription polymerase chain reaction (RT-PCR)
NCT04387799 completednot on this map

Major Determinants of COVID-19 Associated Pneumonia

TypeobservationalSponsorCatholic University of the Sacred HeartRan2020 to 2020Enrolled520ConditionsPneumonia, Viral, Pneumonia, Bacterial, Coronavirus Infection, Obstructive Lung DiseaseArmsSerology for Covid-19
NCT04395482 completednot on this map

Lung CT Scan Analysis of SARS-CoV2 Induced Lung Injury by Machine Learning: a Multicenter Retrospective Cohort Study.

TypeobservationalSponsorUniversity of Milano BicoccaRan2020 to 2022Enrolled44Conditionscovid19ArmsLung CT scan analysis in COVID-19 patients
NCT04407468 completednot on this map

Awake Prone Positioning and Oxygen Therapy in Patients With COVID-19 (APRONOX)

TypeobservationalSponsorHospital General San Juan del RioRan2020 to 2020Enrolled827ConditionsCOVID, ARDS, PneumoniaArmsProne position
NCT04657406 availablenot on this map

Expanded Access to Zofin for the Treatment of Patients With Mild to Moderate COVID-19 Due to SARS-Cov-2 for Outpatient and Inpatient Population

Typeexpanded_accessSponsorZEO ScientifiX, Inc.ConditionsCovid19, Corona Virus Infection, SARS (Severe Acute Respiratory Syndrome), Acute Respiratory Distress SyndromeArmsZofin
NCT04661631 unknown statusnot on this map

Lung Ultrasound in COVID-19 Infection Screening for Patients With Indication of Emergency Surgery

Typeobservational_patient_registrySponsorFundacion Clinica Valle del LiliRan2020 to 2021Enrolled451ConditionsUltrasonography, Lung Diseases, Surgical Procedure, Covid19ArmsLung ultrasound
NCT04834934 completednot on this map

Artificial Intelligence - SARS-CoV-2 Risk Evaluation

TypeobservationalSponsorIRCCS San RaffaeleRan2020 to 2021Enrolled2,000ConditionsCovid19
NCT04987853 unknown statusnot on this mapstarted 2021, after this paper: background citation

Assessment of the Influence of Clinical, Functional, Immunological, and Genetic Factors on the Severity of the Course of Coronavirus Infection With SARS-CoV-2 and Post Covid Syndrome

TypeobservationalSponsorNational Research Center for Cardiac Surgery, KazakhstanRan2021 to 2023Enrolled300ConditionsCovid19, Corona Virus InfectionArmsClinical and functional analysis, Neurological analysis, Immunological analysis:, Genetic analysis:
NCT05228717 unknown statusnot on this map

Point-of-care Lung Ultrasound (POCUS)-Integrated Observation Study of Admitted Patients With COVID-19

TypeobservationalSponsorOlive View-UCLA Education & Research InstituteRan2020 to 2022Enrolled240ConditionsLung Injury, ARDS, Acute Cardiac Event, Covid19ArmsPoint of Care Ultrasound
NCT05279378 completednot on this mapstarted 2022, after this paper: background citation

Correlation of Lung Ultrasonography With Chest CT Findings in Cancer Patients With COVID-19 Viral Pneumonia, an Observational Study

Typeobservational_patient_registrySponsorSouth Egypt Cancer InstituteRan2022 to 2025Enrolled30ConditionsCancer PatientsArmslung ultrasonography versus CT
3 · Its place in the literature

Who cites it

2,740 citing papers in PubMed, 4 syntheses or guidelines pooled it, 6,008 citations in OpenAlex.

  1. Pooled it
  2. Lung Ultrasound Score in COVID-19 Patients Correlates with POThe western journal of emergency medicine · 2024
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2,680 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Tao Ai *From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0002-3735-7500
Zhenlu Yang *From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0003-4646-2799
Hongyan HouFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).
Chenao ZhanFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).
Chong ChenFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0001-7385-8073
Wenzhi LvFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0002-4083-1779
Qian TaoFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0001-7480-0703
Ziyong SunFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).
Liming XiaFrom the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).ORCID 0000-0001-8481-3380
Tongji Hospital · CNLeiden University Medical Center · NLUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Materials and Methods This study included 1014 patients in Wuhan, China, who underwent both chest CT and RT-PCR tests between January 6 and February 6, 2020. With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. In addition, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative) was analyzed as compared with serial chest CT scans for those with a time interval between RT-PCR tests of 4 days or more. Results Of the 1014 patients, 601 of 1014 (59%) had positive RT-PCR results and 888 of 1014 (88%) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95% confidence interval: 95%, 98%; 580 of 601 patients) based on positive RT-PCR results. In the 413 patients with negative RT-PCR results, 308 of 413 (75%) had positive chest CT findings. Of those 308 patients, 48% (103 of 308) were considered as highly likely cases and 33% (103 of 308) as probable cases. At analysis of serial RT-PCR assays and CT scans, the mean interval between the initial negative to positive RT-PCR results was 5.1 days ± 1.5; the mean interval between initial positive to subsequent negative RT-PCR results was 6.9 days ± 2.3. Of the 1014 patients, 60% (34 of 57) to 93% (14 of 15) had initial positive CT scans consistent with COVID-19 before (or parallel to) the initial positive RT-PCR results. Twenty-four of 57 patients (42%) showed improvement on follow-up chest CT scans before the RT-PCR results turned negative. Conclusion Chest CT has a high sensitivity for diagnosis of coronavirus disease 2019 (COVID-19). Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. © RSNA, 2020

Indexed as

BetacoronavirusAdolescentAdultAgedChildChild, PreschoolChinaClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleFollow-Up StudiesHumansMaleMiddle Aged

Identifiers

PMID32101510
PMCPMC7233399
OpenAlexW3007497549

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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.