Evidence map›Paper›PMID 24726679›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2014

Performance and clinical validation of the RealStar MERS-CoV Kit for detection of Middle East respiratory syndrome coronavirus RNA.

Victor Max Corman, Stephan Ölschläger, Clemens-Martin Wendtner, Jan Felix Drexler, Markus Hess, Christian Drosten

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Laboratory detection methods for the human coronaviruses.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Review
  9. MERS-CoV: epidemiology, molecular dynamics, therapeutics, and future challenges.Annals of clinical microbiology and antimicrobials · 2021
    Review
  10. SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge.Measurement : journal of the International Measurement Confederation · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. MERS coronavirus outbreak: Implications for emerging viral infections.Diagnostic microbiology and infectious disease · 2019
    Review
  19. Article
  20. Review
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

6 authors at 3 institutions in 1 country.

Victor Max CormanInstitute of Virology, University of Bonn Medical Centre, 53127 Bonn, Germany. Electronic address: corman@virology-bonn.de.
Stephan ÖlschlägerAltona Diagnostics GmbH, Mörkenstrasse 12, 22767 Hamburg, Germany.
Clemens-Martin WendtnerKlinikum Schwabing, Munich, Germany.
Jan Felix DrexlerInstitute of Virology, University of Bonn Medical Centre, 53127 Bonn, Germany.
Markus HessAltona Diagnostics GmbH, Mörkenstrasse 12, 22767 Hamburg, Germany.
Christian DrostenInstitute of Virology, University of Bonn Medical Centre, 53127 Bonn, Germany.
University of Bonn · DEAsklepios Klinik Altona · DEMünchen Klinik Schwabing · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA highly pathogenic human coronavirus causing respiratory disease emerged in the Middle East region in 2012. In-house molecular diagnostic methods for this virus termed Middle East respiratory syndrome coronavirus (MERS-CoV) allowed sensitive MERS-CoV RNA detection in patient samples. Fast diagnosis is important to manage human cases and trace possible contacts.

objectivesThe aim of this study was to improve the availability of existing nucleic acid amplification-based diagnostic methods for MERS-CoV infections by providing a real-time RT-PCR kit, including an internal control and two target regions recommended by the World Health Organization (WHO). And to validate this kit (RealStar MERS-CoV RT-PCR kit 1.0, Altona Diagnostics GmbH, Hamburg, Germany) using clinical samples of one MERS-CoV case from Munich and respiratory samples of patients with other respiratory diseases. STUDY

designAn internal amplification control was included into the RT-PCR assays targeting the genomic region upstream of the Envelope gene (upE) and within open reading frame (ORF) 1A. Based on these assays, a ready-to-use real-time RT-PCR kit featuring both the upE and ORF1A assays was developed, validated and compared to the established in-house versions.

resultsThe performance of both RT-PCR assays included in the kit is comparable to the in-house assays. They show high analytical sensitivity (upE: 5.3 copies/reaction; ORF1A: 9.3 copies/reaction), no cross-reactivity with other respiratory pathogens and detected MERS-CoV RNA in patient samples in almost the same manner as the in-house versions.

conclusionThe kit is a valuable tool for assisting in the rapid diagnosis, patient management and epidemiology of suspected MERS-CoV cases.

Indexed as

Coronavirus InfectionsCross ReactionsHumansMiddle East Respiratory Syndrome CoronavirusMolecular Diagnostic TechniquesReal-Time Polymerase Chain ReactionReference StandardsRNA, ViralSensitivity and SpecificityRNA, ViralCoronavirusDiagnostic assayMERS-CoVMiddle East respiratory syndromePCR

Identifiers

PMID24726679
PMCPMC7106532
OpenAlexW2012357233

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.