Evidence map›Paper›PMID 36776158›Full record

ArticleNew microbes and new infections2023

SARS-COV-2 IgG specific antibodies persistence in recovered COVID-19 individuals and its association with severity and time of illness.

Abdol Sattar Pagheh, Arash Ziaee, Khadijeh Abrari Romenjan, Fatemeh Rezaei, Babak Bahman, Effat Alamzadeh, Samira Elhamirad, Masood Ziaee

Abstract read
In one paragraph

Article in New microbes and new infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Abdol Sattar PaghehInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Arash ZiaeeDepartment of Neuroscience, Mashhad University of Medical Sciences, Mashhad, Iran.
Khadijeh Abrari RomenjanInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Fatemeh RezaeiIslamic Azad University of Chalous Branch, Chalous, Iran.
Babak BahmanInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Effat AlamzadehInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Samira ElhamiradInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Masood ZiaeeInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to accurately interpret the immune response to COVID-19, it is critical to know how long serum antibodies to COVID-2 persist. This study aimed to describe the serum IgG responses to SARS-CoV-2 in patients with mild, moderate, and severe COVID-19 infection in Birjand, South Khorasan province, Iran. The study was performed on individuals whose COVID-19 disease was confirmed by RT-PCR and recovered from the disease. After completing the questionnaire, blood samples were collected from 4 different groups based on the time of the test at two, four, six, and eight months' post-recovery. Then, SARS-COV-2 virus-specific IgG nucleocapsid antibody level in patients was measured using the enzyme-linked immunosorbent assay (ELISA). In total, 206 patients (mean age 44.19 ± 14.9, 51% man) were included in the survey. Serum prevalence of specific IgG antibodies in patients with mild, moderate, and severe COVID-19 disease was 51.5%, 64% and 78.9%, respectively. Furthermore, serum prevalence of COVID-19 specific IgG antibody level in two, four, six, and eight months after recovery were 80.8, 69.1, 43.2 and 41.8%, respectivel

Indexed as

Coronavirus nucleocapsid proteinCOVID-19IgGSARS-CoV-2Severity

Identifiers

PMID36776158
PMCPMC9896850

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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.