Evidence map›Paper›PMID 33710634›Full record

ReviewJournal of medical virology2021

Potential false-positive reasons for SARS-CoV-2 antibody testing and its solution.

Qing Ye, Ting Zhang, Dezhao Lu

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 25 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

3 authors at 2 institutions in 1 country.

Qing YeDepartment of Clinical Laboratory, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China.ORCID 0000-0002-6756-0630
Ting ZhangLaboratory Medicine Department, College of Medical Technology, Zhejiang Chinese Medical University, Hangzhou, China.
Dezhao LuLaboratory Medicine Department, College of Medical Technology, Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNChildren's Hospital of Zhejiang University · CN

Funding

Key Laboratory of Women's Reproductive Health Research of Zhejiang Province, Hangzhou, Zhejiang Province, P.R. China ZDFY2020-RH-0006key project of provincial ministry co-construction, Health science and Technology project plan of Zhejiang Province WKJ-ZJ-2128
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has brought a huge impact on global health and the economy. Early diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is essential for epidemic prevention and control. The detection of SARS-CoV-2 antibodies is an important criterion for diagnosing COVID-19. However, SARS-CoV-2 antibody testing also has certain false positives causing confusion in clinical diagnosis. This article summarizes the causes of false-positive detection of SARS-CoV-2 antibodies in clinical practice. The results indicate that the most common endogenous interferences include rheumatoid factor, heterophile antibodies, human anti-animal antibodies, lysozyme, complement, and cross-antigens. The exogenous interference is mainly incomplete coagulation of the specimen, contamination of the specimen, and insufficient optimization of the diagnostic kit's reaction system.

Indexed as

Antibodies, ViralClinical Laboratory TechniquesCOVID-19COVID-19 TestingFalse Positive ReactionsHumansImmunologic TestsSARS-CoV-2Antibodies, ViralantibodyCOVID-19exogenous interferencefalse positiveintrinsic interferenceSARS-CoV-2

Identifiers

PMID33710634
PMCPMC8250967
OpenAlexW3133507014

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.