Evidence map›Paper›PMID 28179899›Full record

ReviewFrontiers in microbiology2017

xMAP Technology: Applications in Detection of Pathogens.

Nikol Reslova, Veronika Michna, Martin Kasny, Pavel Mikel, Petr Kralik

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–field-weighted citation impact
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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Engineering Innovative Interfaces for Point-of-Care Diagnostics.Current opinion in colloid & interface science · 2023
    Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

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

5 authors.

Nikol ReslovaDepartment of Food and Feed Safety, Veterinary Research InstituteBrno, Czechia; Department of Botany and Zoology, Faculty of Science, Masaryk UniversityBrno, Czechia.
Veronika MichnaDepartment of Food and Feed Safety, Veterinary Research InstituteBrno, Czechia; Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia.
Martin KasnyDepartment of Botany and Zoology, Faculty of Science, Masaryk University Brno, Czechia.
Pavel MikelDepartment of Food and Feed Safety, Veterinary Research InstituteBrno, Czechia; Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia.
Petr KralikDepartment of Food and Feed Safety, Veterinary Research Institute Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

xMAP technology is applicable for high-throughput, multiplex and simultaneous detection of different analytes within a single complex sample. xMAP multiplex assays are currently available in various nucleic acid and immunoassay formats, enabling simultaneous detection and typing of pathogenic viruses, bacteria, parasites and fungi and also antigen or antibody interception. As an open architecture platform, the xMAP technology is beneficial to end users and therefore it is used in various pharmaceutical, clinical and research laboratories. The main aim of this review is to summarize the latest findings and applications in the field of pathogen detection using microsphere-based multiplex assays.

Indexed as

diagnosticsimmunoassaymagnetic microspheresmultiplex detectionnucleic acid detectionpathogen identificationxMAP

Identifiers

PMID28179899
PMCPMC5263158

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.