Evidence map›Paper›PMID 34433423›Full record

ArticleBMC infectious diseases2021

Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats.

Daniel J Nesbitt, Daniel P Jin, Joseph W Hogan, Jenny Yang, Haidee Chen, Philip A Chan, Melissa J Simon, Matthew Vargas, Ewa King, Richard C Huard and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Dramatic rise in seroprevalence rates of SARS-CoV-2 antibodies among healthy blood donors: The evolution of a pandemic.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  6. Infection fatality rate of COVID-19 inferred from seroprevalence data.Bulletin of the World Health Organization · 2021
    Review
  7. Article
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

13 authors.

Daniel J Nesbitt *New York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA.
Daniel P Jin *New York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA.
Joseph W HoganDepartment of Biostatistics, Brown University, Providence, RI, USA.
Jenny YangNew York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA.
Haidee ChenNew York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA.
Philip A ChanRhode Island Department of Health, Providence, RI, USA.
Melissa J SimonRhode Island Commerce Corporation, Providence, RI, USA.
Matthew VargasRhode Island Commerce Corporation, Providence, RI, USA.
Ewa KingRhode Island Department of Health, Providence, RI, USA.
Richard C HuardRhode Island Department of Health, Providence, RI, USA.
Utpala BandyRhode Island Department of Health, Providence, RI, USA.
Christopher D HillyerNew York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA.
Larry L LuchsingerNew York Blood Center, Lindsley F. Kimball Research Institute, New York, NY, USA. lluchsinger@nybc.org.ORCID http://orcid.org/0000-0002-0063-1764

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
NIAID NIH HHS P30 AI042853
6 · The paper itself

Abstract

backgroundEpidemic projections and public health policies addressing Coronavirus disease (COVID)-19 have been implemented without data reporting on the seroconversion of the population since scalable antibody testing has only recently become available.

methodsWe measured the percentage of severe acute respiratory syndrome- Coronavirus-2 (SARS-CoV-2) seropositive individuals from 2008 blood donors drawn in the state of Rhode Island (RI). We utilized multiple antibody testing platforms, including lateral flow immunoassays (LFAs), enzyme-linked immunosorbent assays (ELISAs) and high throughput serological assays (HTSAs). To estimate seroprevalence, we utilized the Bayesian statistical method to adjust for sensitivity and specificity of the commercial tests used.

resultsWe report than an estimated seropositive rate of RI blood donors of approximately 0.6% existed in April-May of 2020. Daily new case rates peaked in RI in late April 2020. We found HTSAs and LFAs were positively correlated with ELISA assays to detect antibodies specific to SARS-CoV-2 in blood donors.

conclusionsThese data imply that seroconversion, and thus infection, is likely not widespread within this population. We conclude that IgG LFAs and HTSAs are suitable to conduct seroprevalence assays in random populations. More studies will be needed using validated serological tests to improve the precision and report the kinetic progression of seroprevalence estimates.

Indexed as

Blood DonorsSARS-CoV-2Antibodies, ViralBayes TheoremCOVID-19HumansRhode IslandSeroepidemiologic StudiesAntibodies, ViralAntibodyCOVID-19PandemicRhode IslandSARS-CoV-2SerologySeroprevalence

Identifiers

PMID34433423
PMCPMC8386143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.