Evidence map›Paper›PMID 36932107›Full record

ArticleScientific reports2023

Clinical evaluation of DIAGNOVIR SARS-CoV-2 ultra-rapid antigen test performance compared to PCR-based testing.

Ali Aytac Seymen, Ezgi Gulten, Erol Ozgur, Bülend Ortaç, Irem Akdemir, Gule Cinar, Elif Mukime Saricaoglu, Gulen Guney-Esken, Erman Akkus, Fusun Can and 3 more

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In one paragraph

Article in Scientific reports, 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
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

13 authors at 4 institutions in 2 countries.

Ali Aytac Seymen *EA Teknoloji LLC Bilkent CyberPark, 06800, Ankara, Turkey.
Ezgi Gulten *Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Erol Ozgur *EA Teknoloji LLC Bilkent CyberPark, 06800, Ankara, Turkey.
Bülend Ortaç *EA Teknoloji LLC Bilkent CyberPark, 06800, Ankara, Turkey.
Irem AkdemirDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Gule CinarDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Elif Mukime SaricaogluDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Gulen Guney-EskenKoc University IsBank Research Center for Infectious Diseases (KUISCID), Istanbul, Turkey.
Erman AkkusDepartment of Internal Medicine, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Fusun CanSchool of Medicine, Department of Medical Microbiology, Koc University, Istanbul, Turkey.
Zeynep Ceren KarahanDepartment of Medical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Alpay AzapDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey.
Erkan TuncayDepartments of Biophysics, Faculty of Medicine, Ankara University, Ankara, 06230, Turkey. erkan.tuncay@medicine.ankara.edu.tr.
Ankara University · TRBilkent University · TRKoç University · TRUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease-19 (COVID-19) is a highly contagious infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The development of rapid antigen tests has contributed to easing the burden on healthcare and lifting restrictions by detecting infected individuals to help prevent further transmission of the virus. We developed a state-of-art rapid antigen testing system, named DIAGNOVIR, based on immune-fluorescence analysis, which can process and give the results in a minute. In our study, we assessed the performance of the DIAGNOVIR and compared the results with those of the qRT-PCR test. Our results demonstrated that the sensitivity and specificity of the DIAGNOVIR were 94% and 99.2%, respectively, with a 100% sensitivity and 96.97% specificity, among asymptomatic patients. In addition, DIAGNOVIR can detect SARS‑CoV‑2 with 100% sensitivity up to 5 days after symptom onset. We observed that the DIAGNOVIR Rapid Antigen Test's limit of detection (LoD) was not significantly affected by the SARS‑CoV‑2 variants including Wuhan, alpha (B1.1.7), beta (B.1.351), delta (B.1.617.2) and omicron (B.1.1.529) variants, and LoD was calculated as 8 × 10

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHealth FacilitiesHumansPolymerase Chain Reaction

Identifiers

PMID36932107
PMCPMC10021059
OpenAlexW4327811865

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read109
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.