Evidence map›Paper›PMID 35214731›Full record

ArticleVaccines2022

A Lateral Flow Immunoassay Coupled with a Spectrum-Based Reader for SARS-CoV-2 Neutralizing Antibody Detection.

Rui-Lin Huang, Yi-Chen Fu, Yung-Chih Wang, Chitsung Hong, Wei-Chieh Yang, I-Jen Wang, Jun-Ren Sun, Yunching Chen, Ching-Fen Shen, Chao-Min Cheng

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 15 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

10 authors at 7 institutions in 1 country.

Rui-Lin HuangInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0003-2324-7148
Yi-Chen FuInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Yung-Chih WangNational Defense Medical Center, Department of Internal Medicine, Division of Internal Medicine and Tropical Medicine, Tri-Service General Hospital, Taipei 11490, Taiwan.ORCID 0000-0002-8491-8972
Chitsung HongSpectrochip Inc., Hsinchu 302059, Taiwan.
Wei-Chieh YangPing An Medical Clinic, Tainan 708, Taiwan.
I-Jen WangDepartment of Pediatrics, Taipei Hospital, Ministry of Health and Welfare, New Taipei City 24213, Taiwan.ORCID 0000-0003-0091-258X
Jun-Ren SunNational Defense Medical Center, Institute of Preventive Medicine, Taipei 23742, Taiwan.ORCID 0000-0002-8769-9170
Yunching ChenInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Ching-Fen ShenDepartment of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-5926-0462
Chao-Min ChengInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0002-8644-1960
National Tsing Hua University · TWNational Cheng Kung University Hospital · TWNational Defense Medical Center · TWNational Yang Ming Chiao Tung University · TWPing An (China)Powerchip (Taiwan) · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As of August 2021, there have been over 200 million confirmed case of coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus and more than 4 million COVID-19-related deaths globally. Although real-time polymerase chain reaction is considered to be the primary method of detection for SARS-CoV-2 infection, the use of serological assays for detecting COVID-19 antibodies has been shown to be effective in aiding with diagnosis, particularly in patients who have recovered from the disease and those in later stages of infection. Since it has a high detection rate and few limitations compared to conventional enzyme-linked immunosorbent assay protocols, we used a lateral flow immunoassay as our diagnostic tool of choice. Since lateral flow immunoassay results interpreted by the naked eye may lead to erroneous diagnoses, we developed an innovative, portable device with the capacity to capture a high-resolution reflectance spectrum as a means of promoting diagnostic accuracy. We combined this spectrum-based device with commercial lateral flow immunoassays to detect the neutralizing antibody in serum samples collected from 30 COVID-19-infected patients (26 mild cases and four severe cases). The results of our approach, lateral flow immunoassays coupled with a spectrum-based reader, demonstrated a 0.989 area under the ROC curve, 100% sensitivity, 95.7% positive predictive value, 87.5% specificity, and 100% negative predictive value. As a result, our approach exhibited great value for neutralizing antibody detection. In addition to the above tests, we also tested plasma samples from 16 AstraZeneca-vaccinated (ChAdOx1nCoV-19) patients and compared our approach and enzyme-linked immunosorbent assay results to see whether our approach could be applied to vaccinated patients. The results showed a high correlation between these two approaches, indicating that the lateral flow immunoassay coupled with a spectrum-based reader is a feasible approach for diagnosing the presence of a neutralizing antibody in both COVID-19-infected and vaccinated patients.

Indexed as

AstraZenecacoronavirus disease 2019 (COVID-19)lateral flow immunoassayneutralizing antibodysevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2)

Identifiers

PMID35214731
PMCPMC8877288
OpenAlexW4214591301

What OpenQuestion holds

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LicenceCC BY
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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.