Evidence map›Paper›PMID 36476336›Full record

ArticleBMC infectious diseases2022

Test concordance and diagnostic accuracy of three serological assays for detection of anti-SARS-CoV-2 antibody: result from a population-based sero-epidemiological study in Delhi.

Puneet Misra, Shashi Kant, Randeep Guleria, Mohammad Ahmad, Suprakash Mandal, P K Chaturvedi, Guruprasad R Medigeshi, Suneeta Meena, Sanjay Kumar Rai, Anisur Rahman and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

14 authors at 3 institutions in 1 country.

Puneet MisraCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India. doctormisra@gmail.com.ORCID https://orcid.org/0000-0002-2019-1524
Shashi KantCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Randeep GuleriaAll India Institute of Medical Sciences, New Delhi, 110029, India.
Mohammad AhmadWHO Country Office, World Health Organization, New Delhi, India.
Suprakash MandalCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
P K ChaturvediDepartment of Reproductive Biology, All India Institute of Medical Sciences, New Delhi, 110029, India.
Guruprasad R MedigeshiTranslational Health Science and Technology Institute, Faridabad, 121001, India.
Suneeta MeenaDepartment of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Sanjay Kumar RaiCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Anisur RahmanWHO, New Delhi, India.
Meenu SangralCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Kapil YadavCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Mohan BairwaCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Partha HaldarCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
All India Institute of Medical Sciences · INWorld Health Organization - India · INTranslational Health Science and Technology Institute · IN

Funding

WHO Country Office, New Delhi 110016, India Ref No: 2020/1085497, Purchase Order: 202630166World Health Organization 001
6 · The paper itself

Abstract

backgroundSeveral methodological tests are available to detect SARS-CoV-2 antibody. Tests are mostly used in the aid of diagnosis or for serological assessment. No tests are fully confirmatory and have variable level of diagnostic ability. We aimed at assessing agreement with three serological tests: quantitative anti receptor binding domain ELISA (Q-RBD), qualitative ELISA (WANTAI SARS-CoV-2 Ab) and qualitative chemiluminescence assay (CLIA).

methodsThis study was a part of a large population based sero-epidemiological cohort study. Participants aged 1 year or older were included from 25 randomly selected clusters each in Delhi urban (urban resettlement colony of South Delhi district) and Delhi rural (villages in Faridabad district, Haryana). Three type of tests were applied to all the baseline blood samples. Result of the three tests were evaluated by estimating the total agreement and kappa value.

resultsTotal 3491 blood samples collected from March to September, 2021, out of which 1700 (48.7%) from urban and 1791 (51.3%) from rural. Overall 44.1% of participants were male. The proportion of sero-positivity were 78.1%, 75.2% and 31.8% by Wantai, QRBD and CLIA tests respectively. The total agreement between Wantai and QRBD was 94.5%, 53.1% between Wantai and CLIA, and 56.8% between QRBD and CLIA. The kappa value between these three tests were 0.84 (95% CI 0.80-0.87), 0.22 (95% CI 0.19-0.24) and 0.26 (95% CI 0.23-0.28).

conclusionsThere was strong concordance between Wantai and QRBD test. Agreement between CLIA with other two tests was low. Wantai and QRBD tests measuring the antibody to same S protein can be used with high agreement based on the relevant scenario.

Indexed as

COVID-19SARS-CoV-2Cohort StudiesFemaleHumansMaleResearchAntibodyConcordanceSARS-CoV-2SerologySerum

Identifiers

PMID36476336
PMCPMC9730588
OpenAlexW4311577905

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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.