Evidence map›Paper›PMID 37156408›Full record

ArticleJournal of immunological methods2023

Anti-N SARS-CoV-2 assays for evaluation of natural viral infection.

Aurelia Gaeta, Antonio Angeloni, Anna Napoli, Beatrice Pucci, Lilia Cinti, Piergiorgio Roberto, Flavia Colaiacovo, Elena Berardelli, Antonella Farina, Guido Antonelli and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of immunological methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 at 1 institution in 1 country.

Aurelia GaetaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome 00161, Italy.
Antonio AngeloniDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.. Electronic address: antonio.angeloni@uniroma1.it.
Anna NapoliDepartment of Molecular Medicine, Sapienza University of Rome, Rome 00161, Italy.
Beatrice PucciDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.
Lilia CintiDepartment of Molecular Medicine, Sapienza University of Rome, Rome 00161, Italy.
Piergiorgio RobertoDepartment of Molecular Medicine, Sapienza University of Rome, Rome 00161, Italy.
Flavia ColaiacovoDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.
Elena BerardelliDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.
Antonella FarinaDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.
Guido AntonelliDepartment of Molecular Medicine, Sapienza University of Rome, Rome 00161, Italy.
Emanuela AnastasiDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 2019 coronavirus (COVID-19) epidemic, required the development of different diagnostic tests. While reverse transcriptase real-time PCR (RT-PCR) remains the first-line test of choice in acute infection diagnosis, anti-N antibodies serological assays provide a valuable tool to differentiate natural SARS-CoV-2 immunological response from that induced by vaccination, thus the goal of our study was to evaluate three serological tests agreement for these antibodies detection.

methodsThree anti-N different tests were examined in 74 sera from patients referred or not COVID infection: immunochromatographic rapid test (Panbio™ COVID-19 IgG/IgM Rapid Test Device Abbott, Germany), ELISA kit (NovaLisa® SARS-CoV-2 IgG and IgM NovaTech Immunodiagnostic GmbH, Germany) and ECLIA immunoassay (Elecsys® Anti-SARS-CoV-2 Roche Diagnostics, Manheim, Germany).

resultsQualitative comparison of the three analytical methods revealed a moderate agreement between ECLIA immunoassay and immunochromatographic rapid test (Cohen kappa coefficient κ = 0.564). Correlation analysis indicated weak positive correlation between total Ig (IgT) detected by ECLIA immunoassay and IgG by ELISA test (p < 0.0001), the analysis of ECLIA IgT and IgM ELISA detected, showed no statistical correlation.

conclusionComparison between of three analytical systems available for anti-N SARS-CoV-2 IgG and IgM antibodies showed a general agreement when compared to detect total and G class immunoglobulins, while doubtful or discordant results have been highlighted for IgT and IgM class. Anyway, all the tests examined provide reliable results to assess the serological status of SARS-CoV-2 infected patients.

Indexed as

COVID-19SARS-CoV-2AntibodiesCoronavirus Nucleocapsid ProteinsHumansAntibodiesCoronavirus Nucleocapsid ProteinsN protein, SARS-CoVAnti SARS-CoV-2COVID-19ECLIAELISAImmunochromatography

Identifiers

PMID37156408
PMCPMC10163944
OpenAlexW4375955095

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.