Evidence map›Paper›PMID 34374351›Full record

ArticleAnnals of laboratory medicine2022

Performance Comparison of Five SARS-CoV-2 Antibody Assays for Seroprevalence Studies.

Younhee Park, Ki Ho Hong, Su-Kyung Lee, Jungwon Hyun, Eun-Jee Oh, Jaehyeon Lee, Hyukmin Lee, Sang Hoon Song, Seung-Jung Kee, Gye Cheol Kwon and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2022. 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
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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

16 authors at 7 institutions in 1 country.

Younhee ParkDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8458-1495
Ki Ho HongDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5700-9036
Su-Kyung LeeDepartment of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.ORCID https://orcid.org/0000-0002-2536-413X
Jungwon HyunDepartment of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.ORCID https://orcid.org/0000-0003-1040-1302
Eun-Jee OhDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5870-915X
Jaehyeon LeeDepartment of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju, Korea.ORCID https://orcid.org/0000-0003-3211-8903
Hyukmin LeeDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8523-4126
Sang Hoon SongDepartment of Laboratory Medicine, Seoul National University Hospital and College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5084-1137
Seung-Jung KeeDepartment of Laboratory Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea.ORCID https://orcid.org/0000-0001-9708-5837
Gye Cheol KwonDepartment of Laboratory Medicine, College of Medicine, Chungnam National University, Daejeon, Korea.ORCID https://orcid.org/0000-0002-4886-0590
Su Hwan KimCenter for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea.
Hyeon-Nam DoCenter for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea.ORCID https://orcid.org/0000-0002-9337-8859
Ah-Ra KimCenter for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea.ORCID https://orcid.org/0000-0001-5610-3787
June-Woo LeeCenter for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea.ORCID https://orcid.org/0000-0002-2923-5597
Sung Soon KimCenter for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea.ORCID https://orcid.org/0000-0003-2774-6710
Hyun Soo KimDepartment of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.ORCID https://orcid.org/0000-0002-7026-6715
Korea Disease Control and Prevention Agency · KRHallym University Dongtan Sacred Heart Hospital · KRYonsei University · KRChonnam National University Hospital · KRChungnam National University · KRSeoul National University Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeroprevalence studies of coronavirus disease 2019 (COVID-19) cases, including asymptomatic and past infections, are important to estimate the scale of the disease outbreak and to establish quarantine measures. We evaluated the clinical performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody assays available in Korea for use in seroprevalence studies.

methodsThe sensitivity, specificity, cross-reactivity, and interference of five SARS-CoV-2 antibody assays were evaluated using the following: 398 serum samples from confirmed COVID-19 patients, 510 negative control samples from before 2018 (pre-pandemic), 163 serum samples from patients with SARS, Middle East respiratory syndrome (MERS), and other viral infections, and five samples for the interference study.

resultsThe sensitivities of the five assays ranged from 92.2% to 98%, and their specificities, including cross-reactivity and interference, ranged from 97.5% to 100%. The agreement rates were excellent (kappa >0.9). Adjustment of the cutoff values could be considered through ROC curve analysis. The positive predictive values of the individual assays varied from 3.5% to 100% at a 0.1% prevalence but were as high as ≥95% when two assays were combined.

conclusionsThe prevalence of COVID-19 in Korea is considered to be exceptionally low at present; thus, we recommend using a combination of two or more SARS-CoV-2 antibody assays rather than a single assay. These results could help select SARS-CoV-2 antibody assays for COVID-19 seroprevalence studies in Korea.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansPandemicsSensitivity and SpecificitySeroepidemiologic StudiesAntibodies, ViralAntibodyCOVID-19SARS-CoV-2Seroprevalence

Identifiers

PMID34374351
PMCPMC8368235
OpenAlexW3188778457

What OpenQuestion holds

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LicenceCC BY-NC
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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.