Evidence map›Paper›PMID 34334906›Full record

ArticleMedical journal, Armed Forces India2021

Estimating the proportion and IgG antibody response to SARS-CoV-2 in individuals joining a central educational institute from different parts of India by Enzyme-linked immunosorbent assay (ELISA) based serology.

Sourav Sen, Mahima Lall, Dharamjeet Singh Faujdar, S P S Shergill, Seema Patrikar, S K Kaushik, R M Gupta, Nardeep Naithani

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Seroprevalence of IgG antibodies against SARS-CoV-2 in India, March 2020 to August 2021: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
  2. Review
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.

Sourav SenProfessor & Head, Department of Microbiology, Armed Forces Medical College, Pune, India.
Mahima LallProfessor, Department of Microbiology, Armed Forces Medical College, Pune, India.
Dharamjeet Singh FaujdarAssociate Professor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
S P S ShergillAssociate Professor, Department of Microbiology, Armed Forces Medical College, Pune, India.
Seema PatrikarSenior Lecturer in Biostatistics, Department of Community Medicine, Armed Forces Medical College, Pune, India.
S K KaushikProfessor & Head, Department of Community Medicine, Armed Forces Medical College, Pune, India.
R M GuptaMG (Med), HQ Western Command, C/o 56 APO, India.
Nardeep NaithaniDirector & Commandant, Armed Forces Medical College, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibody response to SARS-CoV may be estimated to give trends and patterns emerging in a population during an evolving epidemic. The novel coronavirus has opened a new chapter in the history of pandemics and understanding the disease epidemiology.

methodsThe study was a cross-sectional descriptive study. Institutional Ethical clearance and informed consent were taken for participation in the study. The study population included all personnel reporting to the institute for training courses, permanent posting or joining back from leave during the study period of 2 months (16 June to 16 August 2020). The sample size was calculated assuming the prevalence of COVID-19 to be 1% with the absolute precision of 0.5% and 5% level of significance, and finite correction for population size of 500, and the calculated sample size was 377. Inclusion criteria were all personnel reporting to the institute from different states and districts. Exclusion criteria-Any personnel reported for a short visit of lesser than 14 days. Demographic details and details of any likely exposure to a confirmed COVID-19 case were noted. A blood sample was collected, and serological tests were done using ErbaLisa COVID-19 IgG kit by Calbiotech, as per the manufacturer's instructions.

resultsOverall seropositivity of IgG COVID-19 antibodies was 7.5% (31/413) (95% CI: 5.3-10.4%). Study population (n = 413) comprised of an adult population in the age range of 21 years-53 years, and the mean age was 31.4 years (SD = 6.2 years).

conclusionAs the personnel joining the institute have come from various parts of the country the study provides an estimation of antibodies against COVID-19.

Indexed as

AntibodyEpidemiologyPandemicSerology

Identifiers

PMID34334906
PMCPMC8313047

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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.