ArticlemSphere2021
Single-Dilution COVID-19 Antibody Test with Qualitative and Quantitative Readouts.
Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Antibody tests for identification of current and past infection with SARS-CoV-2.The Cochrane database of systematic reviews · 2022Pooled it
- Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.Infectious Disease Modelling · 2026Article
- Deficiency of Tlr7 and Irf7 in mice increases the severity of COVID-19 through the reduced interferon production.Communications biology · 2024Article
- Article
- Detection of COVID-19-related biomarkers by electrochemical biosensors and potential for diagnosis, prognosis, and prediction of the course of the disease in the context of personalized medicine.Analytical and bioanalytical chemistry · 2023Review
- SARS-CoV-2 multi-antigen protein microarray for detailed characterization of antibody responses in COVID-19 patients.PloS one · 2023Article
- An impedimetric biosensor for COVID-19 serology test and modification of sensor performance via dielectrophoresis force.Biosensors & bioelectronics · 2022Article
- Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes.PLoS computational biology · 2022Article
- Point-of-Care Testing-The Key in the Battle against SARS-CoV-2 Pandemic.Micromachines · 2021Review
- Characterization of the SARS-CoV-2 S Protein: Biophysical, Biochemical, Structural, and Antigenic Analysis.ACS omega · 2021Article
- Evaluation and Comparison of Serological Methods for COVID-19 Diagnosis.Frontiers in molecular biosciences · 2021Review
- Treatment of Severe COVID-19 with Convalescent Plasma in the Bronx, NYC.medRxiv : the preprint server for health sciences · 2020Article
- Mater Artium Necessitas: The Birth of a COVID-19 Command Center.Academic pathologyArticle
Corrections and comments
- Update of
Authors and funding
41 authors.
Funding
Abstract
The coronavirus disease 2019 (COVID-19) global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to place an immense burden on societies and health care systems. A key component of COVID-19 control efforts is serological testing to determine the community prevalence of SARS-CoV-2 exposure and quantify individual immune responses to prior SARS-CoV-2 infection or vaccination. Here, we describe a laboratory-developed antibody test that uses readily available research-grade reagents to detect SARS-CoV-2 exposure in patient blood samples with high sensitivity and specificity. We further show that this sensitive test affords the estimation of viral spike-specific IgG titers from a single sample measurement, thereby providing a simple and scalable method to measure the strength of an individual's immune response. The accuracy, adaptability, and cost-effectiveness of this test make it an excellent option for clinical deployment in the ongoing COVID-19 pandemic.
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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.