Evidence map›Paper›PMID 32894217›Full record

SynthesiseLife2020

Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset.

Benny Borremans, Amandine Gamble, K C Prager, Sarah K Helman, Abby M McClain, Caitlin Cox, Van Savage, James O Lloyd-Smith

Abstract readMeta-Analysis
In one paragraph

Synthesis in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Key questions for modelling COVID-19 exit strategies.Proceedings. Biological sciences · 2020
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
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  12. Review
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  14. The kinetics of SARS-CoV-2 infection based on a human challenge study.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  16. Article
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  18. Drug Cocktail Formulation via Circuit Design.IEEE transactions on molecular, biological, and multi-scale communications · 2023
    Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Benny BorremansEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0002-7779-4107
Amandine GambleEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.
K C PragerEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0003-0669-0754
Sarah K HelmanEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.
Abby M McClainNational Marine Mammal Foundation, San Diego, United States.ORCID 0000-0001-5000-4198
Caitlin CoxEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.
Van SavageEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.
James O Lloyd-SmithEcology and Evolutionary Biology Department, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0001-7941-502X

Funding

Cooperative Ecosystem Studies Unit Cooperative Agreement W9132T1920006Defense Advanced Research Projects Agency PREEMPT D18AC00031H2020 Marie Skłodowska-Curie Actions 707840National Science Foundation DEB-1557022U.S. Department of Defense Strategic Environmental Research and Development Program RC-2635US Department of Defense Strategic Environmental Research and Development Program RC‐2635
6 · The paper itself

Abstract

Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1-40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98-100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.

Indexed as

Antibodies, ViralBetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GImmunoglobulin MPandemicsPneumonia, ViralRNA, ViralSARS-CoV-2Antibodies, ViralImmunoglobulin GImmunoglobulin MRNA, Viralantibody kineticsCOVID-19detection probabilityepidemiologyglobal healthhumanmeta-analysisRNASARS-CoV-2

Identifiers

PMID32894217
PMCPMC7508557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.