Evidence map›Paper›PMID 35495639›Full record

ArticleFrontiers in microbiology2022

Performance of Severe Acute Respiratory Syndrome Coronavirus 2 Serological Diagnostic Tests and Antibody Kinetics in Coronavirus Disease 2019 Patients.

Hyun-Woo Choi, Chae-Hyeon Jeon, Eun Jeong Won, Seung-Ji Kang, Seung Yeob Lee, Seung-Jung Kee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 1 country.

Hyun-Woo ChoiDepartment of Laboratory Medicine, Chonnam National University Bitgoeul Hospital, Gwangju, South Korea.
Chae-Hyeon JeonDepartment of Laboratory Medicine, Chonnam National University Hospital and Medical School, Gwangju, South Korea.
Eun Jeong WonDepartment of Laboratory Medicine, Chonnam National University Hwasun Hospital, Hwasun, South Korea.
Seung-Ji KangDepartment of Infectious Diseases, Chonnam National University Bitgoeul Hospital, Gwangju, South Korea.
Seung Yeob LeeDepartment of Laboratory Medicine, Jeonbuk National University Hospital and Medical School, Jeonju-si, South Korea.
Seung-Jung KeeDepartment of Laboratory Medicine, Chonnam National University Hospital and Medical School, Gwangju, South Korea.
Chonnam National University Hospital · KRChonnam National University · KRJeonbuk National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological testing is recommended to support the detection of undiagnosed coronavirus disease 2019 (COVID-19) cases. However, the performance of serological assays has not been sufficiently evaluated. Hence, the performance of six severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binding antibody assays [three chemiluminescence (CLIAs) and three lateral flow immunoassays (LFIAs)] and a surrogate virus neutralization test (sVNT) was analyzed in a total of 988 serum samples comprising 389 COVID-19-positives and 599 COVID-19-negatives. The overall diagnostic sensitivities of CLIAs and LFIAs ranged from 54.2 to 56.6% and from 56.3 to 64.3%, respectively. The overall diagnostic specificities of CLIAs and LFIAs ranged from 98.2 to 99.8% and from 97.3 to 99.0%, respectively. In the symptomatic group (

Indexed as

antibodybinding antibodykineticsneutralizing antibodyperformanceSARS-CoV-2

Identifiers

PMID35495639
PMCPMC9048255
OpenAlexW4223992909

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.