Evidence map›Paper›PMID 39346702›Full record

ArticleInternational journal of microbiology2024

Development and Evaluation of In-House ELISAs for the Detection of SARS-CoV-2-Specific Antibodies in COVID-19 Patients in Sri Lanka.

Sisira L Pathirana, Bhagya Deepachandi, Peshala Gunasekara, Narmada Fernando, Inoka C Perera, Dakshika Gangani, James Thambyarajah, Dhanushka Dasanayake, Rajiva de Silva, Sunil Premawansa and 2 more

Abstract read
In one paragraph

Article in International journal of microbiology, 2024. 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
–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

1 citing paper in PubMed.

  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

12 authors.

Sisira L PathiranaInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.
Bhagya DeepachandiInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0001-7601-4845
Peshala GunasekaraInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0001-7017-520X
Narmada FernandoInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.
Inoka C PereraDepartment of Zoology and Environment Sciences Faculty of Science University of Colombo, Colombo, Sri Lanka.
Dakshika GanganiInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.
James ThambyarajahInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.
Dhanushka DasanayakeDepartment of Immunology Medical Research Institute, Colombo, Sri Lanka.
Rajiva de SilvaDepartment of Immunology Medical Research Institute, Colombo, Sri Lanka.
Sunil PremawansaDepartment of Zoology and Environment Sciences Faculty of Science University of Colombo, Colombo, Sri Lanka.
Andreas NitscheCenter for Biological Threats and Special Pathogens Robert Koch Institute, Berlin, Germany.
Shiroma M HandunnettiInstitute of Biochemistry Molecular Biology and Biotechnology University of Colombo, Colombo, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 serological tests complement the molecular diagnostics and can be used as important tool for serosurveillance and vaccine efficiency evaluation. The aim of this study was to develop and evaluate the diagnostic performance of an in-house ELISA for retrospective serosurveillance of SARS-CoV-2. Total IgG and IgM levels in sera of PCR positive SARS-CoV-2 patients (

Identifiers

PMID39346702
PMCPMC11427722

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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.