ReviewJournal of medicine and life
Rapid diagnostic methods for SARS-CoV-2 (COVID-19) detection: an evidence-based report.
Review in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 19 citations in OpenAlex.
- An engineered M13 phage-rGO electrochemical biosensor for rapid detection of viral protein in complex matrices.Scientific reports · 2026Article
- Ultra-sensitive impedimetric biosensor for HCV detection in patient samples coupled with double-noble nanoparticles on carbon ink-patterned paper electrode.Mikrochimica acta · 2025Article
- Plant growth-promoting properties of metal-tolerant bacteria isolated from battery wastes dumpsites.Environmental analysis, health and toxicology · 2025Article
- Biotechnological Preparedness for Novel Pandemics: Diagnostic Performance of IVDS Against SARS-CoV-2.MicrobiologyOpen · 2025Review
- Global Emergence of SARS-CoV2 Infection and Scientific Interventions to Contain its Spread.Current protein & peptide science · 2024Review
- Emerging perspectives on RNA virus-mediated infections: from pathogenesis to therapeutic interventions.World journal of virology · 2023Review
- Gold conjugated nanobodies in a signal-enhanced lateral flow test strip for rapid detection of SARS-CoV-2 S1 antigen in saliva samples.Scientific reports · 2023Article
- Nanomaterials-based sensors for the detection of COVID-19: A review.Bioengineering & translational medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since December 2019, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a global health concern. The transmission method is human-to-human. Since this second wave of SARS-CoV-2 is more aggressive than the first wave, rapid testing is warranted to use practical diagnostics to break the transfer chain. Currently, various techniques are used to diagnose SARS-CoV-2 infection, each with its own set of advantages and disadvantages. A full review of online databases such as PubMed, EMBASE, Web of Science, and Google Scholar was analyzed to identify relevant articles focusing on SARS-CoV-2 and diagnosis and therapeutics. The most recent article search was on May 10, 2021. We summarize promising methods for detecting the novel Coronavirus using sensor-based diagnostic technologies that are sensitive, cost-effective, and simple to use at the point of care. This includes loop-mediated isothermal amplification and several laboratory protocols for confirming suspected 2019-nCoV cases, as well as studies with non-commercial laboratory protocols based on real-time reverse transcription-polymerase chain reaction and a field-effect transistor-based bio-sensing device. We discuss a potential discovery that could lead to the mass and targeted SARS-CoV-2 detection needed to manage the COVID-19 pandemic through infection succession and timely therapy.
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.