Evidence map›Paper›PMID 36448059›Full record

ArticleOpen life sciences2022

Distribution characteristics of SARS-CoV-2 IgM/IgG in false-positive results detected by chemiluminescent immunoassay.

Yan Lei, Xiaolan Lu, Daiyong Mou, Qin Du, Guangrong Wang, Qiang Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open life sciences, 2022. 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
0.2field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Yan LeiDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
Xiaolan LuDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
Daiyong MouDepartment of Clinical Laboratory, Nanchong Central Hospital, Nanchong, 637000, Sichuan, China.
Qin DuDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
Guangrong WangDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
Qiang WangDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
North Sichuan Medical University · CNAffiliated Hospital of North Sichuan Medical College · CNNanchong Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been several false-positive results in the antibody detection of COVID-19. This study aimed to analyze the distribution characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin M (IgM) and immunoglobulin G (IgG) in false-positive results using chemiluminescent immunoassay. The characteristics of false-positive results in SARS-CoV-2 IgM and IgG tests were analyzed. The false-positive proportion of single SARS-CoV-2 IgM-positive results was 95.88%, which was higher than those of single SARS-CoV-2 IgG-positive results (71.05%;

Indexed as

antibodychemiluminescent immunoassayCOVID-19false positiveimmunoglobulin Gimmunoglobulin MSARS-CoV-2

Identifiers

PMID36448059
PMCPMC9663935
OpenAlexW4310594066

What OpenQuestion holds

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LicenceCC BY
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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.