Evidence map›Paper›PMID 34245473›Full record

ArticleBiotechnology and applied biochemistry2022

Determination of human COVID-19 total antibodies in serum using a time-resolved fluorescence immunoassay.

Yunjian Xu, Cuicui Chen, Hongrui Lai, Ying He, Guiling Guo, Jianming Feng, Laiqing Li

Open access · greenAbstract read
In one paragraph

Article in Biotechnology and applied biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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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

7 authors at 3 institutions in 2 countries.

Yunjian XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Cuicui ChenGuangzhou Youdi Biotechnology Co., Ltd., Guangzhou, China.
Hongrui LaiGuangzhou Youdi Biotechnology Co., Ltd., Guangzhou, China.
Ying HeGuangzhou Youdi Biotechnology Co., Ltd., Guangzhou, China.
Guiling GuoGuangzhou Youdi Biotechnology Co., Ltd., Guangzhou, China.
Jianming FengGuangzhou Fenghua Bioengineering Co., Ltd., Guangzhou, China.
Laiqing LiGuangzhou Youdi Biotechnology Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0002-1663-4142
Beike Biotechnology (China) · CNFirst Affiliated Hospital of Guangzhou Medical University · CNYebio Bioengineering (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world. Antibody detection plays an important role in the diagnosis of COVID-19. Here, we established a new time-resolved fluorescence immunoassay (TRFIA) to determine COVID-19 total antibodies. A double-antigen sandwich TRFIA was optimized and established: recombinant nucleocapsid phosphoprotein (N protein) and spike protein (S protein) of COVID-19 immobilized on 96-well plates captured human COVID-19 antibodies and then banded together with the N/S proteins labeled with europium(III) (Eu

Indexed as

COVID-19SARS-CoV-2FluoroimmunoassayHumansImmunoassayImmunoglobulin GSensitivity and SpecificityImmunoglobulin GCOVID-19double-antigen sandwichnucleocapsid phosphoproteinspike proteintime-resolved fluorescence immunoassaytotal antibodies

Identifiers

PMID34245473
PMCPMC8426795
OpenAlexW3178065548

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.