Evidence map›Paper›PMID 27685649›Full record

ArticlePLoS neglected tropical diseases2016

A Field-Deployable Reverse Transcription Recombinase Polymerase Amplification Assay for Rapid Detection of the Chikungunya Virus.

Pranav Patel, Ahmed Abd El Wahed, Oumar Faye, Pauline Prüger, Marco Kaiser, Sasikanya Thaloengsok, Sukathida Ubol, Anavaj Sakuntabhai, Isabelle Leparc-Goffart, Frank T Hufert and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Chikungunya fever.Nature reviews. Disease primers · 2023
    Review
  14. Article
  15. Co-circulation ofFrontiers in microbiology · 2023
    Article
  16. Review
  17. Article
  18. 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

13 authors at 8 institutions in 5 countries.

Pranav PatelCentre for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany.
Ahmed Abd El WahedDivision of Microbiology and Animal Hygiene, Georg-August-University, Goettingen, Germany.
Oumar FayeArbovirus Unit, Pasteur Institute, Dakar, Senegal.
Pauline PrügerCentre for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany.
Marco KaiserGenExpress Gesellschaft für Proteindesign, Berlin, Germany.
Sasikanya ThaloengsokDepartment of Microbiology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Sukathida UbolDepartment of Microbiology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Anavaj SakuntabhaiFunctional Genetics of Infectious Diseases Unit, Institute Pasteur, Paris, France.
Isabelle Leparc-GoffartFrench Armed Force Biomedical Research Institute (IRBA) Marseille, France.
Frank T HufertInstitute of Microbiology & Virology, Brandenburg Medical School Fontane, Senftenberg, Germany.
Amadou A SallArbovirus Unit, Pasteur Institute, Dakar, Senegal.
Manfred WeidmannInstitute of Aquaculture, University of Stirling, Stirling, Scotland, United Kingdom.
Matthias NiedrigCentre for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany.
Robert Koch Institute · DEInstitut Pasteur de Dakar · SNMahidol University · THInstitut Pasteur · FRMedizinische Hochschule Brandenburg Theodor Fontane · DEService de Santé des Armées · FRUniversity of Göttingen · DEUniversity of Stirling · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChikungunya virus (CHIKV) is a mosquito-borne virus currently transmitted in about 60 countries. CHIKV causes acute flu-like symptoms and in many cases prolonged musculoskeletal and joint pain. Detection of the infection is mostly done using RT-RCR or ELISA, which are not suitable for point-of-care diagnosis. METHODOLOGY/PRINCIPAL

findingsIn this study, a reverse transcription recombinase polymerase amplification (RT-RPA) assay for the detection of the CHIKV was developed. The assay sensitivity, specificity, and cross-reactivity were tested. CHIKV RT-RPA assay detected down to 80 genome copies/reaction in a maximum of 15 minutes. It successfully identified 18 isolates representing the three CHIKV genotypes. No cross-reactivity was detected to other alphaviruses and arboviruses except O'nyong'nyong virus, which could be differentiated by a modified RPA primer pair. Seventy-eight samples were screened both by RT-RPA and real-time RT-PCR. The diagnostic sensitivity and specificity of the CHIKV RT-RPA assay were determined at 100%. CONCLUSIONS/SIGNIFICANCE: The developed RT-RPA assay represents a promising method for the molecular detection of CHIKV at point of need.

Identifiers

PMID27685649
PMCPMC5042537
OpenAlexW2524681368

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.