Evidence map›Paper›PMID 35340017›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2022

A Faster, Novel Technique to Detect COVID-19 Neutralizing Antibodies.

Wei-Huai Chiu, Wei-Yi Kong, Yu-Jang Su, Jyun-Wei Wen, Ciao-Ming Tsai, Chitsung Hong, Pang-Yen Chen, Cheng-Hao Ko

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

8 authors.

Wei-Huai ChiuGraduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan.ORCID 0000-0001-5183-7239
Wei-Yi KongGraduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan.ORCID 0000-0001-7576-0029
Yu-Jang SuPoison Center, Department of Emergency Medicine, MacKay Memorial Hospital, Taipei, Taiwan.ORCID 0000-0003-0218-1944
Jyun-Wei WenSpectroChip Inc., Hsinchu, Taiwan.
Ciao-Ming TsaiDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan.ORCID 0000-0001-8105-1501
Chitsung HongSpectroChip Inc., Hsinchu, Taiwan.
Pang-Yen ChenDepartment of Emergency Medicine, Mackay Memorial Hospital, Taipei, Taiwan.ORCID 0000-0002-5933-5820
Cheng-Hao KoGraduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan.ORCID 0000-0002-8768-7700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The COVID-19 pandemic has spread globally in a short period of time. It is known that antibody (nAb) level can effectively predict vaccine efficacy, which leads to the exploration of vaccine trials for efficacy assessment. Thus, the current study aimed to develop a platform to quantify nAb levels faster, at lower cost, and with better efficiency. MATERIAL AND METHODS A total of 69 sera samples were collected for the research, 28 of which were from unvaccinated participants. The other 27 samples and the remaining 14 samples were from the participants who had received the first and second dose, respectively, of AZ vaccine 1 month before. With cPass assays (Genscript cPass nAb ELISA assay) used as a criterion standard and lateral flow immunoassay kit (Healgen Scientific - LFIA test kit) coupled with a spectrometer (LFIA+S) for checking each specimen, we aimed to detect the presence of neutralizing antibodies in sera and to confirm the relationship between the inhibition rate from cPass assays and the nAb index from the LFIA+S. RESULTS Data analysis of the research were taken from the certified ELISA and LFIA+S, which indicated a high consistency (Pearson's r =0.864; ICC=0.90138) between the 2 methods. CONCLUSIONS The dataset demonstrated that LFIA+S was affordable, had a strong correlation with results of the cPass nAbs detection kit, and has potential clinical applications, with an exclusive feature that allows non-experts to use it with ease. It is believed that the proposed platform can be promoted in the near future.

Indexed as

COVID-19Antibodies, NeutralizingAntibodies, ViralHumansImmunoassayPandemicsSARS-CoV-2Antibodies, NeutralizingAntibodies, Viral

Identifiers

PMID35340017
PMCPMC9344884

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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.