Evidence map›Paper›PMID 35910399›Full record

ArticleMedical journal, Armed Forces India2022

Findings of second multicentric follow-up serosurvey among Health Care Workers in government hospitals.

Arun Kumar Yadav, S Ghosh, D S Faujdar, K S Rajmohan, Sharad Bhalla, V S Shekhawat, Prashant Jindamwar, Sudhir Dubey, Atul Sahai, C R Rakesh and 9 more

Open access · greenAbstract read
In one paragraph

Article in Medical journal, Armed Forces India, 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 57% 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, 1 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

19 authors at 6 institutions in 1 country.

Arun Kumar YadavAssociate Professor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
S GhoshCol AFMS (Health), O/o DGAFMS, New Delhi, India.
D S FaujdarAssociate Professor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
K S RajmohanProfessor (Pathology) & Neuropathologist, ACMS, Delhi, India.
Sharad BhallaProfessor (Microbiology), Command Hospital (Eastern Command), Kolkatta, India.
V S ShekhawatClassified Specialist (Medicine & Endocrinologist), INHS Asvini, Colaba, Mumbai, India.
Prashant JindamwarClassified Specialist (Microbiology), Army Institute of Cardio-Thoracic Sciences (AICTS), Pune, India.
Sudhir DubeyClassified Specialist (Microbiology), ACMS, Delhi, India.
Atul SahaiClassified Specialist (Pathology), Jammu, India.
C R RakeshClassified Specialist (Surgery), Command Hospital (Air Force), Bengaluru, India.
Satish ChandAssistant Professor (Dermatology), Command Hospital (Air Force), Bengaluru, India.
M S RawatGraded Specialist (Pathology), Military Hospital, Ahmedabad, India.
Shilpi GuptaGraded Specialist (Microbiology), Military Hospital, Jaipur, India.
Rakhi DhawanSenior Registrar, Military Hospital, Jaipur, India.
Atul KotwalExecutive Director, NHRSC, New Delhi, India.
Saurabh BobdeyProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
Prabhakar TeliAssociate Professor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
S K KaushikProfessor & Head, Department of Community Medicine, Armed Forces Medical College, Pune, India.
Rajesh VaidyaDean & Deputy Commandant, Armed Forces Medical College, Pune, India.
Armed Forces Medical College · INCommand Hospital Air Force · INCommand Hospital · INIndian Army · ININHS Asvini · INUniversity of Jammu · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The change in serological status of community may be used as input for guiding the public health policy. Hence, the present study was conducted to determine change in seroprevalence of COVID-19 among healthcare workers (HCWs). Methods: From the baseline multicentric study sample, a subsample was followed up, and a seroepidemiological study was conducted among them between 6 and 22 weeks after the second dose of the vaccination. Multistage population proportion to size sampling was performed for the selection of subsample of HCWs. The serosurvey was conducted using the enzyme-linked immunosorbent assay-based IgG antibody test (COVID KAVACH). Results: Follow-up serological testing was done in subsample of 1122 participants of original 3253 participants. The mean age of the participants was 34.6 (8.13) years. A total of 300 (26.7%) participants were females. The seroprevalence was 78.52, (95%CI:76-80.1). Among those who were seronegative at initial test, 708 (77.04%) were seroconverted. Those who were not seroconverted (241 (21.5%)) have longer duration from the second dose of the vaccination (93 (31.4) vs. 56 (38.4); p value < 0.001). The COVID-19 infection was significantly associated with seropositive status and being a medical staff was associated with remaining seronegative on follow-up. The higher age (≥50 years) was found to be significantly associated with seroreversion. Conclusion: Four in five HCWs had detectable antibodies. Seroepidemiological studies carry vital information to control the public health response in the course of the pandemic. The study can also further help as a platform to study the seroconversion and effect of vaccination among HCWs for newer variants of SARS-CoV-2.

Indexed as

COVID-19Longitudinal studySARS-CoV-2Serology

Identifiers

PMID35910399
PMCPMC9322976
OpenAlexW4285807490

What OpenQuestion holds

Textmetadata
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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.