ReviewAPL bioengineering2020
Evaluation of current diagnostic methods for COVID-19.
Review in APL bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis 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
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- COVID-19-Associated acute respiratory distress syndrome (CARDS): Mechanistic insights on therapeutic intervention and emerging trends.International immunopharmacology · 2021Pooled it
- Ultrafast Plasmonic Nanocavity Thermocycler for Direct Real-Time Reverse Transcription PCR at a Point-of-Care Level.ACS applied materials & interfaces · 2026Article
- Advances in Virus Biorecognition and Detection Techniques for the Surveillance and Prevention of Infectious Diseases.Biosensors · 2025Review
- Development of practical techniques for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023Review
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- Correlation of bone density measured on CT chest with the severity of COVID-19 infection: A retrospective study.PloS one · 2023Article
- Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccines.Annals of medicine · 2022Review
- Fluorescence-Linked Aptamer Assay for SARS-CoV-2 Spike-Protein: A Step-by-Step Performance Analysis in Clinical Samples.Diagnostics (Basel, Switzerland) · 2022Article
- Prospective Clinical Evaluation of the Diagnostic Accuracy of a Highly Sensitive Rapid Antigen Test Using Silver Amplification Technology for Emerging SARS-CoV-2 Variants.Biomedicines · 2022Article
- A precise review on NAATs-based diagnostic assays for COVID-19: A motion in fast POC molecular tests.European journal of clinical investigation · 2022Review
- Design and finite element modeling of two-dimensional nanomechanical biosensors for SARS-CoV-2 detection.Diamond and related materials · 2022Article
- A collaborative study to establish the national standard for SARS-CoV-2 RNA nucleic acid amplification techniques (NAAT) in Taiwan.Biologicals : journal of the International Association of Biological Standardization · 2022Article
- Nanomaterials-based sensors for the detection of COVID-19: A review.Bioengineering & translational medicine · 2022Review
- A Comparative Study of Nine SARS-CoV-2 IgG Lateral Flow Assays Using Both Post-Infection and Post-Vaccination Samples.Journal of clinical medicine · 2022Article
- Recent advances in carbon quantum dots for virus detection, as well as inhibition and treatment of viral infection.Nano convergence · 2022Review
- Diagnostic assay and technology advancement for detecting SARS-CoV-2 infections causing the COVID-19 pandemic.Analytical and bioanalytical chemistry · 2022Review
- Ultrasensitive detection of SARS-CoV-2 nucleocapsid protein using large gold nanoparticle-enhanced surface plasmon resonance.Scientific reports · 2022Article
- Sagacious epitope selection for vaccines, and both antibody-based therapeutics and diagnostics: tips from virology and oncology.Antibody therapeutics · 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
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent responsible for the coronavirus disease of 2019 (COVID-19), which triggers lung failure, pneumonia, and multi-organ dysfunction. This enveloped, positive sense and single-stranded RNA virus can be transmitted through aerosol droplets, direct and indirect contacts. Thus, SARS-CoV-2 is highly contagious and has reached a pandemic level in a few months. Since COVID-19 has caused numerous human casualties and severe economic loss posing a global threat, the development of readily available, accurate, fast, and cost-effective diagnostic techniques in hospitals and in any places where humans spread the virus is urgently required. COVID-19 can be diagnosed by clinical findings and several laboratory tests. These tests may include virus isolation, nucleic acid-based molecular assays like real-time polymerase chain reactions, antigen or antibody-based immunological assays such as rapid immunochromatographic tests, enzyme-linked immunosorbent assays, immunofluorescence techniques, and indirect fluorescent antibody techniques, electrochemical sensors, etc. However, current methods should be developed by novel approaches for sensitive, specific, and accurate diagnosis of COVID-19 cases to control and prevent this outbreak. Thus, this review will cover an overview and comparison of multiple reports and commercially available kits that include molecular tests, immunoassays, and sensor-based diagnostic methods for diagnosis of COVID-19. The pros and cons of these methods and future perspectives will be thoroughly evaluated and discussed.
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.