ReviewReviews in medical virology2020
Laboratory testing of SARS-CoV, MERS-CoV, and SARS-CoV-2 (2019-nCoV): Current status, challenges, and countermeasures.
Review in Reviews in medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
166 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Performance of saline and water gargling for SARS-CoV-2 reverse transcriptase PCR testing: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022Pooled it
- What you need to know about children's COVID-19: a systematic review.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021Pooled it
- Evaluation of the diagnostic accuracy of COVID-19 antigen tests: A systematic review and meta-analysis.Journal of the Chinese Medical Association : JCMA · 2021Pooled it
- Pooled it
- From SARS and MERS to COVID-19: a brief summary and comparison of severe acute respiratory infections caused by three highly pathogenic human coronaviruses.Respiratory research · 2020Pooled it
- Systematic evaluation of IgG responses to SARS-CoV-2 spike protein-derived peptides for monitoring COVID-19 patients.Cellular & molecular immunology · 2021Trial
- Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by Mass Spectrometry.Viruses · 2020Trial
- Virome profiling of long-tailed marmots reveals tissue tropism and cross-species transmission of a diversity of uncharacterized mammalian viruses.Microbiome · 2025Article
- Preparation of FeMikrochimica acta · 2025Article
- Machine learning comparison for biomarker level estimation in wastewater dynamics monitoring.Scientific reports · 2025Article
- Disruption of Spike Priming in Virus Entry: Tetrandrine as a Pan-Coronavirus Inhibitor.MedComm · 2025Article
- Advances in Virus Biorecognition and Detection Techniques for the Surveillance and Prevention of Infectious Diseases.Biosensors · 2025Review
- Predictors of stress among nucleic acid sampling support nurses (NASSNs) during the COVID-19 pandemic.Human resources for health · 2025Article
- A genome-wide arrayed CRISPR screen identifies PLSCR1 as an intrinsic barrier to SARS-CoV-2 entry that recent virus variants have evolved to resist.PLoS biology · 2024Article
- Clinical and Epidemiological Assessment of Children and Adolescents Hospitalized with SARS-CoV-2 in the Pre-Amazon Region.Biomedicines · 2024Article
- The Promotion of Humoral Immune Responses in Humans via SOCS1-Mediated Th2-Bias Following SARS-CoV-2 Vaccination.Vaccines · 2023Article
- Anomaly Detection Models for SARS-CoV-2 Surveillance Based on GenomeMicroorganisms · 2023Article
- Clinical Course, Immunogenicity, and Efficacy of BNT162b2 mRNA Vaccination Against SARS-CoV-2 Infection in Liver Transplant Recipients.Transplantation direct · 2023Article
- Serological identification of MERS-CoV in camels of Wasit province, Iraq.Open veterinary journal · 2023Article
- Simple Point-of-Care Nucleic Acid Amplification Test for Rapid SARS-CoV-2 Infection Diagnosis.Diagnostics (Basel, Switzerland) · 2023Article
106 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging and reemerging infectious diseases are global public concerns. With the outbreak of unknown pneumonia in Wuhan, China in December 2019, a new coronavirus, SARS-CoV-2 has been attracting tremendous attention. Rapid and accurate laboratory testing of SARS-CoV-2 is essential for early discovery, early reporting, early quarantine, early treatment, and cutting off epidemic transmission. The genome structure, transmission, and pathogenesis of SARS-CoV-2 are basically similar to SARS-CoV and MERS-CoV, the other two beta-CoVs of medical importance. During the SARS-CoV and MERS-CoV epidemics, a variety of molecular and serological diagnostic assays were established and should be referred to for SARS-CoV-2. In this review, by summarizing the articles and guidelines about specimen collection, nucleic acid tests (NAT) and serological tests for SARS-CoV, MERS-CoV, and SARS-CoV-2, several suggestions are put forward to improve the laboratory testing of SARS-CoV-2. In summary, for NAT: collecting stool and blood samples at later periods of illness to improve the positive rate if lower respiratory tract specimens are unavailable; increasing template volume to raise the sensitivity of detection; putting samples in reagents containing guanidine salt to inactivate virus as well as protect RNA; setting proper positive, negative and inhibition controls to ensure high-quality results; simultaneously amplifying human RNase P gene to avoid false-negative results. For antibody test, diverse assays targeting different antigens, and collecting paired samples are needed.
Indexed as
Identifiers
What OpenQuestion holds
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.