Evidence map›Paper›PMID 33909632›Full record

ArticlePloS one2021

Target specific serologic analysis of COVID-19 convalescent plasma.

Sachie Ikegami, Robert C Benirschke, Hossein Fakhrai-Rad, Mohammad H Motamedi, Rick Hockett, Sean David, Hong Kee Lee, Jason Kang, Thomas J Gniadek

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Applications of Gold Nanoparticles in Plasmonic and Nanophotonic Biosensing.Advances in biochemical engineering/biotechnology · 2024
    Review
  6. Biophysical and biochemical insights in the design of immunoassays.Biochimica et biophysica acta. General subjects · 2023
    Review
  7. Correlates of Coronavirus Disease 2019 (COVID-19) Vaccine Hesitancy Among People Who Inject Drugs in the San Diego-Tijuana Border Region.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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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

9 authors.

Sachie IkegamiDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.
Robert C BenirschkeDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.
Hossein Fakhrai-RadGenalyte Inc., San Diego, California, United States of America.
Mohammad H MotamediGenalyte Inc., San Diego, California, United States of America.
Rick HockettGenalyte Inc., San Diego, California, United States of America.
Sean DavidDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.
Hong Kee LeeDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.
Jason KangDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.
Thomas J GniadekDepartment of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States of America.ORCID 0000-0002-4092-9397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared the performance of four serology assays for Coronavirus Disease 2019 (COVID-19) and investigated whether COVID-19 disease history correlates with assay performance. Samples were tested at Northshore using the Elecsys Anti-SARS-CoV-2 (Roche Diagnostics), Access SARS-CoV-2 IgG anti-RBD (Beckman Coulter), and LIAISON SARS-CoV-2 S1/S2 IgG (DiaSorin) as well as at Genalyte using Maverick Multi-Antigen Serology Panel. The study included one hundred clinical samples collected before December 2019 and ninety-seven samples collected from convalescent plasma donors originally diagnosed with COVID-19 by PCR. COVID-19 disease history was self-reported by the plasma donors. There was no difference in specificity between the assays tested. Clinical sensitivity of these four tests was 98% (Genalyte), 96% (Roche), 92% (DiaSorin), and 87% (Beckman). The only statistically significant differences in clinical sensitivity was between the Beckman assay and both Genalyte and Roche assays. Convalescent plasma donor characteristics and disease symptoms did not correlate with false negative results from the Beckman and DiaSorin assays. All four tests showed high specificity (100%) and varying sensitivities (89-98%). No correlations between disease history and serology results were observed. The Genalyte Multiplex assay showed as good or better sensitivity to three other previously validated assays with FDA Emergency Use Authorizations.

Indexed as

AdultAgedAntibodies, ViralCOVID-19COVID-19 SerotherapyFemaleHumansImmunization, PassiveImmunoglobulin GMaleMiddle AgedPlasmaSARS-CoV-2Sensitivity and SpecificitySerologic TestsAntibodies, ViralImmunoglobulin G

Identifiers

PMID33909632
PMCPMC8081213

What OpenQuestion holds

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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.