Evidence map›Paper›PMID 27247341›Full record

ArticleThe Journal of infectious diseases2016

Development, Evaluation, and Integration of a Quantitative Reverse-Transcription Polymerase Chain Reaction Diagnostic Test for Ebola Virus on a Molecular Diagnostics Platform.

Lieselotte Cnops, Peter Van den Eede, James Pettitt, Leo Heyndrickx, Birgit De Smet, Sandra Coppens, Ilse Andries, Theresa Pattery, Luc Van Hove, Geert Meersseman and 6 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in The Journal of infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 12% 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, 14 citations in OpenAlex.

  1. Diagnostics of Ebola virus.Frontiers in public health · 2023
    Review
  2. Article
  3. Article
  4. The current landscape of nucleic acid tests for filovirus detection.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Review
  5. The predictor of mortality outcome in adult patients with Ebola virus disease during the 2014-2015 outbreak in Guinea.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Observational
  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

16 authors at 5 institutions in 2 countries.

Lieselotte CnopsDepartment of Clinical Sciences.
Peter Van den EedeJanssen Diagnostics, Janssen Pharmaceutica, Beerse Biocartis, Mechelen, Belgium.
James PettittNational Institute of Allergy and Infectious Diseases Integrated Research Facility, National Institutes of Health, Frederick, Maryland.
Leo HeyndrickxDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp.
Birgit De SmetDepartment of Clinical Sciences.
Sandra CoppensDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp.
Ilse AndriesJanssen Diagnostics, Janssen Pharmaceutica, Beerse.
Theresa PatteryJanssen Diagnostics, Janssen Pharmaceutica, Beerse.
Luc Van HoveBiocartis, Mechelen, Belgium.
Geert MeerssemanBiocartis, Mechelen, Belgium.
Sari Van Den HerrewegenBiocartis, Mechelen, Belgium.
Nicolas VergauweBiocartis, Mechelen, Belgium.
Rein ThijsBiocartis, Mechelen, Belgium.
Peter B JahrlingNational Institute of Allergy and Infectious Diseases Integrated Research Facility, National Institutes of Health, Frederick, Maryland.
David NauwelaersBiocartis, Mechelen, Belgium.
Kevin K AriënDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp.
Biocartis (Belgium) · BEInstituut voor Tropische Geneeskunde · BEJanssen (Belgium) · BENational Institute of Allergy and Infectious Diseases · USNational Institutes of Health · US

Funding

Integrated Research Facility at Fort DetrickZIDAI009006 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI COE, LINDA · 2009 to 2018
$341.7M
6 · The paper itself

Abstract

backgroundThe 2013-2016 Ebola epidemic in West Africa resulted in accelerated development of rapid diagnostic tests for emergency outbreak preparedness. We describe the development and evaluation of the Idylla™ prototype Ebola virus test, a fully automated sample-to-result molecular diagnostic test for rapid detection of Zaire ebolavirus (EBOV) and Sudan ebolavirus (SUDV).

methodsThe Idylla™ prototype Ebola virus test can simultaneously detect EBOV and SUDV in 200 µL of whole blood. The sample is directly added to a disposable cartridge containing all reagents for sample preparation, RNA extraction, and amplification by reverse-transcription polymerase chain reaction analysis. The performance was evaluated with a variety of sample types, including synthetic constructs and whole blood samples from healthy volunteers spiked with viral RNA, inactivated virus, and infectious virus.

resultsThe 95% limits of detection for EBOV and SUDV were 465 plaque-forming units (PFU)/mL (1010 copies/mL) and 324 PFU/mL (8204 copies/mL), respectively. In silico and in vitro analyses demonstrated 100% correct reactivity for EBOV and SUDV and no cross-reactivity with relevant pathogens. The diagnostic sensitivity was 97.4% (for EBOV) and 91.7% (for SUDV), the specificity was 100%, and the diagnostic accuracy was 95.9%.

conclusionsThe Idylla™ prototype Ebola virus test is a fast, safe, easy-to-use, and near-patient test that meets the performance criteria to detect EBOV in patients with suspected Ebola.

Indexed as

Disease OutbreaksAfrica, WesternEbolavirusHemorrhagic Fever, EbolaHumansMolecular Diagnostic TechniquesReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViraldiagnosisEbolavirusEBOVoutbreakRT-PCRSUDV

Identifiers

PMID27247341
PMCPMC5050460
OpenAlexW2419310482

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.