Evidence map›Paper›PMID 40697976›Full record

ArticleAccess microbiology2025

Comparison of six COVID-19 serology assays for detection of antibodies from patients infected with ancestral and a spectrum of SARS-CoV-2 variants.

Rachel Lau, Chandrika Senthilkumaran, Jeffrey Chong, Freda Qi, Rosmol-Stanes Pulikkottil, Jennifer Ma, Katherene Ogbulafor, Larry Gabe, Kathy Manguiat, Alyssia Robinson and 11 more

Abstract read
In one paragraph

Article in Access microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Rachel LauPublic Health Ontario, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-4584-2565
Chandrika SenthilkumaranPublic Health Ontario, Toronto, Ontario, Canada.
Jeffrey ChongPublic Health Ontario, Toronto, Ontario, Canada.
Freda QiPublic Health Ontario, Toronto, Ontario, Canada.
Rosmol-Stanes PulikkottilPublic Health Ontario, Toronto, Ontario, Canada.
Jennifer MaPublic Health Ontario, Toronto, Ontario, Canada.
Katherene OgbulaforPublic Health Ontario, Toronto, Ontario, Canada.
Larry GabePublic Health Ontario, Toronto, Ontario, Canada.
Kathy ManguiatNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Alyssia RobinsonNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Heidi WoodNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Angel Xinliu LiDepartment of Microbiology, Sinai Health System, Toronto, Ontario, Canada.
Mohammad MozafarihashjinLunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada.
Aaron CampigottoDepartment of Microbiology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Allison J McGeerLunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada.
Samira MubarekaDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Jonathan B GubbayBC Children's Hospital, Vancouver, British Columbia, Canada.
Julianne V KusPublic Health Ontario, Toronto, Ontario, Canada.
Shelly BolotinPublic Health Ontario, Toronto, Ontario, Canada.
Melissa Richard-GreenblattPublic Health Ontario, Toronto, Ontario, Canada.
Vanessa TranPublic Health Ontario, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serology assays against spike, receptor binding domain (RBD) and nucleocapsid proteins of the severe acute respiratory syndrome coronavirus 2 are essential for serosurveillance. We performed a comparison of four medium-to-high throughput commercial assays [Abbott Laboratories, Ortho Clinical Diagnostics, Meso Scale Diagnostics (MSD)], one point-of-care test (ZEKMED) and a laboratory-developed plaque reduction neutralization test using a reference panel and clinical specimens. Overall, the assays showed a high positive percent agreement of ≥85% and negative percent agreement of ≥90%, with the MSD anti-spike IgG assay having the best performance (100% in both). Notably, Abbott anti-nucleocapsid IgG, MSD anti-spike IgG and ZEKMED anti-spike RBD IgM/IgG combined assays were able to detect antibodies from individuals infected with all different variants tested - Alpha, Beta, Gamma, Delta and Omicron. The limit of detection (LOD) of the assays ranged from 9.9 to 62.0 BAU ml

Indexed as

coronavirus disease 2019 (COVID-19)plaque reduction neutralization testserologysevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)variants of concern

Identifiers

PMID40697976
PMCPMC12282051

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.