Evidence map›Paper›PMID 36314635›Full record

ArticleThe Journal of infectious diseases2023

SARS-CoV-2 Serosurveys: How Antigen, Isotype and Threshold Choices Affect the Outcome.

Raquel A Binder, Gavin F Fujimori, Catherine S Forconi, George W Reed, Leandro S Silva, Priya Saikumar Lakshmi, Amanda Higgins, Lindsey Cincotta, Protiva Dutta, Marie-Claire Salive and 20 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

30 authors.

Raquel A BinderDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-8179-4145
Gavin F FujimoriDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Catherine S ForconiDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
George W ReedDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Leandro S SilvaDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Priya Saikumar LakshmiDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Amanda HigginsDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Lindsey CincottaDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Protiva DuttaDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Marie-Claire SaliveDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Virginia MangoldsDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Otuwe AnyaDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
J Mauricio Calvo CalleDepartment of Pathology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Thomas NixonHorae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Qiushi TangHorae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Mireya WessolosskyDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Yang WangMassBiologics, University of Massachusetts Medical School, Boston, Massachusetts, USA.
Dominic A RitaccoDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Courtney S BlyDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Stephanie FischingerRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Caroline AtyeoRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Peter O OluochDepartment of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-7451-4993
Boaz OdwarDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Jeffrey A BaileyDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Ana Maldonado-ContrerasDepartment of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
John P HaranDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Aaron G SchmidtRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Lisa CavaciniMassBiologics, University of Massachusetts Medical School, Boston, Massachusetts, USA.
Galit AlterRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-7680-9215
Ann M MoormannDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.

Funding

Enhancing racial and ethnic diversity inCOVID-19 research participation through storytelling (COVIDstory)U01CA261276 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MOORMANN, ANN M · 2020 to 2020
$2.0M
NCI NIH HHS U01 CA261276NIH HHS U01 CA261276
6 · The paper itself

Abstract

backgroundEvaluating the performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological assays and clearly articulating the utility of selected antigens, isotypes, and thresholds is crucial to understanding the prevalence of infection within selected communities.

methodsThis cross-sectional study, implemented in 2020, screened PCRconfirmed coronavirus disease 2019 patients (n 86), banked prepandemic and negative samples (n 96), healthcare workers and family members (n 552), and university employees (n 327) for antiSARS-CoV-2 receptor-binding domain, trimeric spike protein, and nucleocapsid protein immunoglobulin (Ig)G and IgA antibodies with a laboratory-developed enzyme-linked immunosorbent assay and tested how antigen, isotype and threshold choices affected the seroprevalence outcomes. The following threshold methods were evaluated: (i) mean 3 standard deviations of the negative controls; (ii) 100 specificity for each antigen-isotype combination; and (iii) the maximal Youden index.

resultsWe found vastly different seroprevalence estimates depending on selected antigens and isotypes and the applied threshold method, ranging from 0.0 to 85.4. Subsequently, we maximized specificity and reported a seroprevalence, based on more than one antigen, ranging from 9.3 to 25.9.

conclusionsThis study revealed the importance of evaluating serosurvey tools for antigen-, isotype-, and threshold-specific sensitivity and specificity, to interpret qualitative serosurvey outcomes reliably and consistently across studies.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GNucleocapsid ProteinsSensitivity and SpecificitySeroepidemiologic StudiesSpike Glycoprotein, CoronavirusAntibodies, ViralImmunoglobulin GNucleocapsid ProteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antigenELISAisotypeMassachusettsSARS-CoV-2serosurveythresholdYouden index

Identifiers

PMID36314635
PMCPMC9891417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.