Evidence map›Paper›PMID 34108285›Full record

ArticleAnnals of laboratory medicine2021

Comparison of SARS-CoV-2 Antibody Responses and Seroconversion in COVID-19 Patients Using Twelve Commercial Immunoassays.

Sojeong Yun, Ji Hyeong Ryu, Joo Hee Jang, Hyunjoo Bae, Seung-Hyo Yoo, Ae-Ran Choi, Sung Jin Jo, Jihyang Lim, Jehoon Lee, Hyejin Ryu and 7 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Annals of laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 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

17 authors at 3 institutions in 1 country.

Sojeong YunDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7784-9673
Ji Hyeong RyuDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7223-4012
Joo Hee JangDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-9209-6844
Hyunjoo BaeDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5143-6806
Seung-Hyo YooDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-9569-0865
Ae-Ran ChoiDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-6150-1800
Sung Jin JoDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5216-7732
Jihyang LimDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-1459-8843
Jehoon LeeDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-1401-1478
Hyejin RyuSamkwang Medical Laboratories, Seoul, Korea.ORCID https://orcid.org/0000-0001-8388-0477
Sung-Yeon ChoDivision of Infectious Diseases, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5392-3405
Dong-Gun LeeDivision of Infectious Diseases, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-4655-0641
Jongmin LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0165-5856
Seok Chan KimDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0054-5962
Yeon-Joon ParkDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2182-5821
Hyeyoung LeeDepartment of Laboratory Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea.ORCID https://orcid.org/0000-0001-8871-5091
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
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KRCatholic Kwandong University International St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody assays have high clinical utility in managing the pandemic. We compared antibody responses and seroconversion of coronavirus disease 2019 (COVID-19) patients using different immunoassays.

methodsWe evaluated 12 commercial immunoassays, including three automated chemiluminescent immunoassays (Abbott, Roche, and Siemens), three enzyme immunoassays (Bio-Rad, Euroimmun, and Vircell), five lateral flow immunoassays (Boditech Med, SD biosensor, PCL, Sugentech, and Rapigen), and one surrogate neutralizing antibody assay (GenScript) in sequential samples from 49 COVID-19 patients and 10 seroconversion panels.

resultsThe positive percent agreement (PPA) of assays for a COVID-19 diagnosis ranged from 84.0% to 98.5% for all samples (>14 days after symptom onset), with IgM or IgA assays showing higher PPAs. Seroconversion responses varied across the assay type and disease severity. Assays targeting the spike or receptor-binding domain protein showed a tendency for early seroconversion detection and higher index values in patients with severe disease. Index values from SARS-CoV-2 binding antibody assays (three automated assays, one LFIA, and three EIAs) showed moderate to strong correlations with the neutralizing antibody percentage (r=0.517-0.874), and stronger correlations in patients with severe disease and in assays targeting spike protein. Agreement among the 12 assays was good (74.3%-96.4%) for detecting IgG or total antibodies.

conclusionsPositivity rates and seroconversion of SARS-CoV-2 antibodies vary depending on the assay kits, disease severity, and antigen target. This study contributes to a better understanding of antibody response in symptomatic COVID-19 patients using currently available assays.

Indexed as

Antibodies, ViralCOVID-19COVID-19 TestingHumansImmunoassayImmunoglobulin AImmunoglobulin GImmunoglobulin MReagent Kits, DiagnosticSARS-CoV-2Sensitivity and SpecificitySeverity of Illness IndexAntibodies, ViralImmunoglobulin AImmunoglobulin GImmunoglobulin MReagent Kits, DiagnosticCorrelationDisease severityImmunoassaysNeutralizing antibodyPositive percent agreementSARS-CoV-2 antibodySeroconversion

Identifiers

PMID34108285
PMCPMC8203431
OpenAlexW3172295034

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.