Evidence map›Paper›PMID 33096742›Full record

ReviewJournal of clinical medicine2020

Rapid Antibody-Based COVID-19 Mass Surveillance: Relevance, Challenges, and Prospects in a Pandemic and Post-Pandemic World.

Robin Augustine, Suvarthi Das, Anwarul Hasan, Abhilash S, Shaheen Abdul Salam, Priya Augustine, Yogesh Bharat Dalvi, Ruby Varghese, Rosita Primavera, Hadi Mohamad Yassine and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 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

12 authors at 5 institutions in 3 countries.

Robin AugustineDepartment of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha PO Box 2713, Qatar.ORCID 0000-0001-9724-8392
Suvarthi DasDepartment of Medicine, Stanford University Medical Center, Palo Alto, CA 94304, USA.
Anwarul HasanDepartment of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha PO Box 2713, Qatar.
Abhilash SDepartment of Microbiology, Majlis Arts and Science College, Puramannur, Malappuram, Kerala 676552, India.
Shaheen Abdul SalamDepartment of Biosciences, MES College Marampally, Aluva, Ernakulam, Kerala 683107, India.
Priya AugustineDepartment of Zoology, Providence Women's College, Kozhikode, Kerala 673009, India.
Yogesh Bharat DalviPushpagiri Research Centre, Pushpagiri Institute of Medical Science & Research, Tiruvalla, Kerala 689101, India.ORCID 0000-0001-7683-3146
Ruby VarghesePushpagiri Research Centre, Pushpagiri Institute of Medical Science & Research, Tiruvalla, Kerala 689101, India.
Rosita PrimaveraInterventional Regenerative Medicine and Imaging Laboratory, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.ORCID 0000-0002-6039-5679
Hadi Mohamad YassineBiomedical Research Center (BRC), Qatar University, Doha PO Box 2713, Qatar.ORCID 0000-0001-7592-2788
Avnesh S ThakorInterventional Regenerative Medicine and Imaging Laboratory, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.ORCID 0000-0001-7395-0515
Bhavesh D KevadiyaInterventional Regenerative Medicine and Imaging Laboratory, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
Qatar University · QAStanford University · USPushpagiri Medical College · INKerala School of Mathematics · INStanford Medicine · US

Funding

Qatar National Research Fund NPRP10-0120-170211Qatar University QUERG-CMED-2020-2
6 · The paper itself

Abstract

The aggressive outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) as COVID-19 (coronavirus disease-2019) pandemic demands rapid and simplified testing tools for its effective management. Increased mass testing and surveillance are crucial for controlling the disease spread, obtaining better pandemic statistics, and developing realistic epidemiological models. Despite the advantages of nucleic acid- and antigen-based tests such as accuracy, specificity, and non-invasive approaches of sample collection, they can only detect active infections. Antibodies (immunoglobulins) are produced by the host immune system within a few days after infection and persist in the blood for at least several weeks after infection resolution. Antibody-based tests have provided a substitute and effective method of ultra-rapid detection for multiple contagious disease outbreaks in the past, including viral diseases such as SARS (severe acute respiratory syndrome) and MERS (Middle East respiratory syndrome). Thus, although not highly suitable for early diagnosis, antibody-based methods can be utilized to detect past infections hidden in the population, including asymptomatic ones. In an active community spread scenario of a disease that can provide a bigger window for mass detections and a practical approach for continuous surveillance. These factors encouraged researchers to investigate means of improving antibody-based rapid tests and employ them as reliable, reproducible, sensitive, specific, and economic tools for COVID-19 mass testing and surveillance. The development and integration of such immunoglobulin-based tests can transform the pandemic diagnosis by moving the same out of the clinics and laboratories into community testing sites and homes. This review discusses the principle, technology, and strategies being used in antibody-based testing at present. It also underlines the immense prospect of immunoglobulin-based testing and the efficacy of repeated planned deployment in pandemic management and post-pandemic sustainable screenings globally.

Indexed as

antibodyCOVID-19immunoglobulinPoCTPoint of Care Testpopulation surveillanceSARS-CoV-2

Identifiers

PMID33096742
PMCPMC7589650
OpenAlexW3094366646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.