Evidence map›Paper›PMID 33872651›Full record

ArticleJournal of virological methods2021

Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples.

Theofylaktos Apostolou, Maria Kyritsi, Alexandros Vontas, Konstantinos Loizou, Agni Hadjilouka, Mathaios Speletas, Varvara Mouchtouri, Christos Hadjichristodoulou

Open access · greenAbstract read
In one paragraph

Article in Journal of virological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Theofylaktos ApostolouEMBIO Diagnostics Ltd, Athalassas Ave 8, Strovolos, 2018 Nicosia, Cyprus.
Maria KyritsiLaboratory of Hygiene and Epidemiology, University of Thessaly, School of Health Sciences, Faculty of Medicine, Papakyriazi 22, Larissa, Greece.
Alexandros VontasLaboratory of Hygiene and Epidemiology, University of Thessaly, School of Health Sciences, Faculty of Medicine, Papakyriazi 22, Larissa, Greece.
Konstantinos LoizouEMBIO Diagnostics Ltd, Athalassas Ave 8, Strovolos, 2018 Nicosia, Cyprus.
Agni HadjiloukaEMBIO Diagnostics Ltd, Athalassas Ave 8, Strovolos, 2018 Nicosia, Cyprus.
Mathaios SpeletasDepartment of Immunology & Histocompatibility, School of Health Sciences, Faculty of Medicine, University of Thessaly, Panepistimiou 3, GR-41500 Biopolis, Larissa, Greece.
Varvara MouchtouriLaboratory of Hygiene and Epidemiology, University of Thessaly, School of Health Sciences, Faculty of Medicine, Papakyriazi 22, Larissa, Greece.
Christos HadjichristodoulouLaboratory of Hygiene and Epidemiology, University of Thessaly, School of Health Sciences, Faculty of Medicine, Papakyriazi 22, Larissa, Greece. Electronic address: xhatzi@uth.gr.
University of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs the second wave of COVID-19 pandemic is in progress the development of fast and cost-effective approaches for diagnosis is essential. The aim of the present study was to develop and evaluate the performance characteristics of a new Bioelectric Recognition Assay (BERA) regarding Sars-CoV-2 detection in clinical samples and its potential to be used as a point of care test. MATERIALS AND

methodsAll tests were performed using a custom portable hardware device developed by EMBIO DIAGNOSTICS (EMBIO DIAGNOSTICS Ltd, Cyprus). 110 positive and 136 negative samples tested by RT-PCR were used in order to define the lower limit of detection (L.O.D.) of the system, as well as the sensitivity and the specificity of the method.

resultsThe system was able to detect a viral concentration of 4 genome copies/μL. The method displayed total sensitivity of 92.7 % (95 %CI: 86.2-96.8) and 97.8 % specificity (95 %CI: 93.7-99.5). When samples were grouped according to the recorded Ct values the BERA biosensor displayed 100.00 % sensitivity (95 %CI: 84.6-100.0) for Ct values <20-30. For the aforementioned Ct values the Positive Predictive Value (PPV) of the method was estimated at 31.4 % for COVID-19 prevalence of 1% and at 70.5 % for 5% prevalence. At the same time the Negative Predictive Value (NPV) of the BERA biosensor was at 100.0 % for both prevalence rates.

conclusionsEMBIO DIAGNOSTICS BERA for the detection of SARS-CoV-2 infection has the potential to allow rapid and cost-effective detection and subsequent isolation of confirmed cases, and therefore reduce household and community transmissions.

Indexed as

Point-of-Care TestingAnimalsBiosensing TechniquesChlorocebus aethiopsCOVID-19HumansLimit of DetectionSARS-CoV-2Sensitivity and SpecificityVero CellsBioelectric Recognition Assay (BERA)Cell-based biosensor technologyPoint-of-care (POC) testSars-CoV-2

Identifiers

PMID33872651
PMCPMC8051012
OpenAlexW3153419741

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.