Evidence map›Paper›PMID 32739797›Full record

ReviewBiosensors & bioelectronics2020

Detection of COVID-19: A review of the current literature and future perspectives.

Tianxing Ji, Zhenwei Liu, GuoQiang Wang, Xuguang Guo, Shahzad Akbar Khan, Changchun Lai, Haoyu Chen, Shiwen Huang, Shaomei Xia, Bo Chen and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 3 pooled it
8.4field-weighted citation impact, top 2% 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

178 citing papers in PubMed, 3 syntheses or guidelines pooled it, 391 citations in OpenAlex.

  1. Pooled it
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  4. Osegnet-F-Unext: O-Segnet-Fusion-Unext for pulmonary lobe segmentation of Covid-19 using Computed Tomography image.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  20. Evaluating the Cavitary Lung Lesions on CT Scan of COVID-19 Patients: A Retrospective Study.Journal of community hospital internal medicine perspectives · 2024
    Article

118 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

13 authors at 5 institutions in 1 country.

Tianxing JiDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China. Electronic address: jitianxing7021@163.com.
Zhenwei LiuGuangzhou Institute of Respiratory Medicine Company Limited, Guangzhou, 510535, PR China.
GuoQiang WangDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Xuguang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, PR China.
Shahzad Akbar KhanLaboratory of Pathology, Department of Pathobiology, University of Poonch Rawalakot, Rawala Kot, 12350, Pakistan.
Changchun LaiDepartment of Clinical Laboratory, Maoming People's Hospital, Maoming, 525000, PR China.
Haoyu ChenDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Shiwen HuangDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Shaomei XiaDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Bo ChenDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Hongyun JiaDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China.
Yangchao ChenSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, HongKong, PR China. Electronic address: yangchaochen@cuhk.edu.hk.
Qiang ZhouDepartment of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, PR China. Electronic address: qiangzhou70@163.com.
Second Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNChinese University of Hong Kong · CNState Key Laboratory of Respiratory Disease · CNUniversity of Poonch Rawalakot

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. This unprecedented situation has garnered worldwide attention. An effective strategy for controlling the COVID-19 pandemic is to develop highly accurate methods for the rapid identification and isolation of SARS-CoV-2 infected patients. Many companies and institutes are therefore striving to develop effective methods for the rapid detection of SARS-CoV-2 ribonucleic acid (RNA), antibodies, antigens, and the virus. In this review, we summarize the structure of the SARS-CoV-2 virus, its genome and gene expression characteristics, and the current progression of SARS-CoV-2 RNA, antibodies, antigens, and virus detection. Further, we discuss the reasons for the observed false-negative and false-positive RNA and antibody detection results in practical clinical applications. Finally, we provide a review of the biosensors which hold promising potential for point-of-care detection of COVID-19 patients. This review thereby provides general guidelines for both scientists in the biosensing research community and for those in the biosensor industry to develop a highly sensitive and accurate point-of-care COVID-19 detection system, which would be of enormous benefit for controlling the current COVID-19 pandemic.

Indexed as

PandemicsAntibodies, ViralAntigens, ViralBetacoronavirusBiosensing TechniquesClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingEquipment DesignGenome, ViralHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPneumonia, ViralPoint-of-Care TestingAntibodies, ViralAntigens, ViralRNA, ViralCOVID-19Point-of-care testingSARS-CoV-2

Identifiers

PMID32739797
PMCPMC7371595
OpenAlexW3044223324

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.