ArticlemBio2023
COVID-19 Serology Data Provide Guidance for Future Deployments of Convalescent Plasma.
Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 9 citations in OpenAlex.
- COVID-19 convalescent plasma safety and efficacy analysis for biologics license application approval.Expert review of anti-infective therapy · 2026Review
- Topological data analysis and machine learning for COVID-19 detection in CT scan lung images.BMC biomedical engineering · 2025Article
- Estimates of actual and potential lives saved in the United States from the use of COVID-19 convalescent plasma.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The role of convalescent plasma and hyperimmune immunoglobulins in the COVID-19 pandemic, including implications for future preparedness.Frontiers in immunology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Measurement of antibody content and function after a viral illness is important for diagnosis and selection of the best convalescent plasma (CP) units for passive immunization. Zhang et al. (mBio 14:e03523-22, 2013, https://doi.org/10.1128/mbio.03523-22) analyzed over 19,000 coronavirus disease 2019 (COVID-19) CP (CCP) samples from the early days of the COVID-19 pandemic and reported a moderately strong correlation between antibody amount and neutralizing titer. Strikingly, about one-third of the samples had little or no neutralizing activity. The results provide a detailed glimpse of the humoral immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in immunologically naive humans and reveal major differences in the quality of CP units collected for passive therapy before antibody screening. Heterogeneity in CCP quality undoubtedly contributed to the variable therapeutic efficacy. Analysis of the COVID-19 serology data suggest that, for the next infectious disease emergency, the best approach after quick establishment of methods for robust antibody-level stratification would be to use CP units in the top quintile of antibody content and neutralizing capacity.
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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.