Evidence map›Paper›PMID 33092816›Full record

ArticlePathology2020

Head-to-head evaluation on diagnostic accuracies of six SARS-CoV-2 serological assays.

Shaun S Tan, Sharon Saw, Ka Lip Chew, Chan Yiong Huak, Candy Khoo, Anastacia Pajarillaga, Weixuan Wang, Paul Tambyah, Lizhen Ong, Roland Jureen and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 14% of its field
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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  11. Evolution of antibodies against SARS-CoV-2 over seven months: Experience of the nationwide seroprevalence ENE-COVID study in Spain.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
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  12. Anti-SARS-CoV-2 equine F (Ab')Scientific reports · 2022
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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

11 authors at 2 institutions in 1 country.

Shaun S TanDepartment of Laboratory Medicine, National University Hospital, Singapore. Electronic address: shaun_sy_tan@nuhs.edu.sg.
Sharon SawDepartment of Laboratory Medicine, National University Hospital, Singapore.
Ka Lip ChewDepartment of Laboratory Medicine, National University Hospital, Singapore.
Chan Yiong HuakBiostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Candy KhooDepartment of Laboratory Medicine, National University Hospital, Singapore.
Anastacia PajarillagaDepartment of Laboratory Medicine, National University Hospital, Singapore.
Weixuan WangDepartment of Laboratory Medicine, National University Hospital, Singapore.
Paul TambyahDivision of Infectious Diseases, Department of Medicine, National University of Singapore, Singapore.
Lizhen OngDepartment of Laboratory Medicine, National University Hospital, Singapore.
Roland JureenDepartment of Laboratory Medicine, National University Hospital, Singapore.
Sunil K SethiDepartment of Laboratory Medicine, National University Hospital, Singapore.
National University Hospital · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluated and compared six SARS-CoV-2 serology kits including the Abbott SARS-CoV-2 IgG assay, Beckman Access SARS-CoV-2 IgG assay, OCD Vitros OCD Anti-SARS-CoV-2 Total antibody assay, Roche Elecsys Anti SARS-CoV-2 assay, Siemens SARS-CoV-2 Total assay, and cPass surrogate viral neutralising antibody assay. A total of 336 non-duplicated residual serum samples that were obtained from COVID-19 confirmed patients (n=173) on PCR and negative controls (n=163) obtained pre-December 2019 before the COVID-19 pandemic were used for the study. These were concurrently analysed on the different immunoassay platforms and correlated with clinical characteristics. Our results showed all assays had specificity ranging from 99.3% to 100.0%. Overall sensitivity across all days of symptoms, in descending order were OCD (49.1%, 95% CI 41.8-56.5%), cPass (44.8%, 95% CI 37.5-52.3%), Roche (41.6%, 95% CI 34.5-49.0%), Siemens (39.9%, 95% CI 32.9-47.3%), Abbott (39.8%, 95% CI 32.9-47.3%) and Beckman (39.6%, 95% CI 32.5-47.3%). Testing after at least 14 days from symptom onset is required to achieve AUCs greater than 0.80. OCD and cPass performed the best in terms of sensitivity for >21 days symptoms with 93.3% (95% CI, 73.5-99.2%) and 96.7% (95% CI, 82.8-99.9%), respectively. Both also shared the greatest concordance, kappa 0.963 (95% CI 0.885-1.0), p<0.001, and had the lowest false negative rates. Serology results should be interpreted with caution in certain cases. False negatives were observed in a small number of individuals with COVID-19 on immunosuppressive therapy, pauci-symptomatic or who received antiretroviral therapy. In conclusion, all assays exhibited excellent specificity and total antibody assays with spike protein configurations generally outperformed nucleocapsid configurations and IgG assays in terms of diagnostic sensitivity.

Indexed as

Antibodies, ViralCOVID-19COVID-19 Serological TestingHumansSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralconcordanceCOVID-19evaluationSARS-CoV-2serology

Identifiers

PMID33092816
PMCPMC7524664
OpenAlexW3090573784

What OpenQuestion holds

Textmetadata
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.