Evidence map›Paper›PMID 38681561›Full record

ArticleHeliyon2024

Prevalence of SARS-CoV-2-specific antibodies in a sample of the Lithuanian population-based study in Spring 2023.

Martynas Simanavičius, Indrė Kučinskaitė-Kodzė, Snieguolė Kaselienė, Skirmantė Sauliūnė, Dainius Gudas, Ligita Jančorienė, Rūta Jasinskienė, Astra Vitkauskienė, Rasa Žūtautienė, Aurelija Žvirblienė and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Martynas SimanavičiusInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257, Vilnius, Lithuania.
Indrė Kučinskaitė-KodzėInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257, Vilnius, Lithuania.
Snieguolė KaselienėDepartment of Health Management, Lithuanian University of Health Sciences, Tilžės g. 18, LT-47181, Kaunas, Lithuania.
Skirmantė SauliūnėDepartment of Health Management, Lithuanian University of Health Sciences, Tilžės g. 18, LT-47181, Kaunas, Lithuania.
Dainius GudasInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257, Vilnius, Lithuania.
Ligita JančorienėClinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Čiurlionio g. 21, LT-03101, Vilnius, Lithuania.
Rūta JasinskienėFaculty of Public Health, Lithuanian University of Health Sciences, Tilžės g. 18, LT-47181, Kaunas, Lithuania.
Astra VitkauskienėDepartment of Laboratory Medicine, Lithuanian University of Health Sciences, Eivenių g. 2, LT-50161, Kaunas, Lithuania.
Rasa ŽūtautienėDepartment of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Tilžės g. 18, LT-47181, Kaunas, Lithuania.
Aurelija ŽvirblienėInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257, Vilnius, Lithuania.
Mindaugas StankūnasDepartment of Health Management, Lithuanian University of Health Sciences, Tilžės g. 18, LT-47181, Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Despite positive trends in SARS-CoV-2 epidemiology, seroprevalence surveys remain an important tool for estimating the magnitude of the COVID-19 pandemic. This study aimed to investigate the prevalence of IgG antibodies against SARS-CoV-2 nucleocapsid (N) and spike (S) proteins in a sample of the Lithuanian population (N = 517) and evaluate how the pattern of seropositivity correlates with the levels of SARS-CoV-2 infection and vaccination. Methods: Study participants (aged 18-88 years) filled in the questionnaire self-reporting their demographic-social variables, health status, and SARS-CoV-2-related status. The anti-S and anti-N IgG levels were estimated using a microarray ELISA test. Results: After several pandemic waves and vaccination campaign, the seroprevalence of SARS-CoV-2-specific IgG in the analyzed sample was 97.87 % by March-May 2023. We determined the 96.91 % prevalence of anti-S and 58.03 % prevalence of anti-N IgG. The majority of study participants (71.18 %) had hybrid immunity induced by vaccination and SARS-CoV-2 infection. 20.3 % of study participants were anti-N IgG positive without reporting any previous symptoms or a positive SARS-CoV-2 test. A decline of anti-N IgG positivity within 9 months after infection was observed. Conclusions: This study demonstrates high total seroprevalence in March-May 2023 in all age groups indicating a widely established humoral immunity against SARS-CoV-2 in Lithuania.

Indexed as

Anti-N IgGCOVID-19LithuaniaSARS-CoV-2Seroprevalence

Identifiers

PMID38681561
PMCPMC11053182

What OpenQuestion holds

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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.