ReviewJournal of clinical laboratory analysis2022
Coronavirus Disease 2019 (COVID-19): Emerging detection technologies and auxiliary analysis.
Review in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 16 citations in OpenAlex.
- Can Digital PCR Enhance the Detection ofPathogens (Basel, Switzerland) · 2026Article
- Optimal pooling strategies for respiratory virus testing: A comparative cost-effectiveness analysis.PLOS global public health · 2026Article
- A bidirectional immuno-microfluidic chip for detecting autoantibodies based on an indirect assay.Mikrochimica acta · 2025Article
- Point-of-Care Testing for Cardiovascular Disease: A Narrative Review.Current medicinal chemistry · 2025Review
- SARS-CoV-2 in Animal Companions: A Serosurvey in Three Regions of Southern Italy.Life (Basel, Switzerland) · 2023Article
- SARS-CoV-2 Affects Both Humans and Animals: What Is the Potential Transmission Risk? A Literature Review.Microorganisms · 2023Review
- Considerations for the selection of tests for SARS-CoV-2 molecular diagnostics.Molecular biology reports · 2022Review
- A computational approach to rapidly design peptides that detect SARS-CoV-2 surface protein S.NAR genomics and bioinformatics · 2022Article
- A 14+7 day quarantine period and a dual nucleic acid testing reagent strategy detect potentially indiscoverable Coronavirus disease 2019 infections in Xiamen, China.Clinica chimica acta; international journal of clinical chemistry · 2022Article
- Duplex One-Step RT-qPCR Assays for Simultaneous Detection of Genomic and Subgenomic RNAs of SARS-CoV-2 Variants.Viruses · 2022Article
- Coronavirus Disease 2019 (COVID-19): Emerging detection technologies and auxiliary analysis.Journal of clinical laboratory analysis · 2022Review
- Proteomics-based mass spectrometry profiling of SARS-CoV-2 infection from human nasopharyngeal samples.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
The ongoing COVID-19 pandemic constitutes a new challenge for public health. Prevention and control of infection have become urgent and serious issues. To meet the clinical demand for higher accuracy of COVID-19 detection, the development of fast and efficient methods represents an important step. The most common methods of COVID-19 diagnosis, relying on real-time fluorescent quantitative PCR(RT-qPCR), computed tomography, and new-generation sequencing technologies, have a series of advantages, especially for early diagnosis and screening. In addition, joint efforts of researchers all over the world have led to the development of other rapid detection methods with high sensitivity, ease of use, cost-effectiveness, or allowing multiplex analysis based on technologies such as dPCR, ELISA, fluorescence immunochromatography assay, and the microfluidic detection chip method. The main goal of this review was to provide a critical discussion on the development and application of these different analytical methods, which based on etiology, serology, and molecular biology, as well as to compare their respective advantages and disadvantages. In addition to these methods, hematology and biochemistry, as well as auxiliary analysis based on pathological anatomy, ultrasonography, and cytokine detection, will help understand COVID-19 pathogenesis. Together, these technologies may promote and open new windows to unravel issues surrounding symptomatic and asymptomatic COVID-19 infections and improve clinical strategies toward reducing mortality.
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.