Evidence map›Paper›PMID 32621814›Full record

ReviewClinica chimica acta; international journal of clinical chemistry2020

Laboratory diagnosis of coronavirus disease-2019 (COVID-19).

Chenxi Li, Chengxue Zhao, Jingfeng Bao, Bo Tang, Yunfeng Wang, Bing Gu

Open access · greenAbstract readReview
In one paragraph

Review in Clinica chimica acta; international journal of clinical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
3.5field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 157 citations in OpenAlex.

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  13. Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus.Computers & electrical engineering : an international journal · 2022
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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

6 authors at 2 institutions in 2 countries.

Chenxi LiMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China.
Chengxue ZhaoMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China.
Jingfeng BaoMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China.
Bo TangNanjing Vazyme Medical Technology Co. Ltd., Nanjing 210046, China.
Yunfeng WangPathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, USA. Electronic address: yfwang@emory.edu.
Bing GuMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China; Department of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, China. Electronic address: binggu2015@xzhmu.edu.cn.
Xuzhou Medical College · CNEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of Coronavirus Disease-2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has threatened health worldwide. As of the end of 2020, there were nearly 10 million confirmed cases and nearly 5 million deaths associated with COVID-19. Rapid and early laboratory diagnosis of COVID-19 is the main focus of treatment and control. Molecular tests are the basis for confirmation of COVID-19, but serological tests for SARS-CoV-2 are widely available and play an increasingly important role in understanding the epidemiology of the virus and in identifying populations at higher risk for infection. Point-of-care tests have the advantage of rapid, accurate, portable, low cost and non-specific device requirements, which provide great help for disease diagnosis and detection. This review will discuss the performance of different laboratory diagnostic tests and platforms, as well as suitable clinical samples for testing, and related biosafety protection. This review shall guide for the diagnosis of COVID-19 caused by SARS-CoV-2.

Indexed as

Clinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingGenomicsHumansPandemicsPneumonia, ViralVirologyCOVID-19CoVsLaboratory diagnosisnCoV-19SARS-CoV-2

Identifiers

PMID32621814
PMCPMC7329657
OpenAlexW3038383760

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.