Evidence map›Paper›PMID 30542067›Full record

ReviewLaboratory investigation; a journal of technical methods and pathology2019

MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics.

Vivek Priy Dave, Tien Anh Ngo, Anna-Karin Pernestig, Diana Tilevik, Krishna Kant, Trieu Nguyen, Anders Wolff, Dang Duong Bang

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Laboratory investigation; a journal of technical methods and pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 3 pooled it
5.8field-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

103 citing papers in PubMed, 3 syntheses or guidelines pooled it, 233 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Review
  6. Genes · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. MicroRNAs in neurodegenerative diseases: from molecular mechanisms to clinical biomarkers, detection methods and therapeutic strategies-advances and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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  15. Article
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  20. Review

43 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

8 authors at 3 institutions in 3 countries.

Vivek Priy DaveLaboratory of Applied Micro and Nanotechnology (LAMINATE), Division of Microbiology and Production, National Food Institute, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
Tien Anh NgoLaboratory of Applied Micro and Nanotechnology (LAMINATE), Division of Microbiology and Production, National Food Institute, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark. tinan@food.dtu.dk.ORCID http://orcid.org/0000-0002-4681-4080
Anna-Karin PernestigSystems Biology Research Centre, School of Bioscience, University of Skövde, Skövde, Sweden.
Diana TilevikSystems Biology Research Centre, School of Bioscience, University of Skövde, Skövde, Sweden.
Krishna KantDepartment of Micro- and Nanotechnology, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
Trieu NguyenLaboratory of Applied Micro and Nanotechnology (LAMINATE), Division of Microbiology and Production, National Food Institute, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
Anders WolffDepartment of Micro- and Nanotechnology, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
Dang Duong BangLaboratory of Applied Micro and Nanotechnology (LAMINATE), Division of Microbiology and Production, National Food Institute, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
Technical University of Denmark · DKUniversity of Skövde · SEBoditech Med (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volume of point of care (POC) testing continues to grow steadily due to the increased availability of easy-to-use devices, thus making it possible to deliver less costly care closer to the patient site in a shorter time relative to the central laboratory services. A novel class of molecules called microRNAs have recently gained attention in healthcare management for their potential as biomarkers for human diseases. The increasing interest of miRNAs in clinical practice has led to an unmet need for assays that can rapidly and accurately measure miRNAs at the POC. However, the most widely used methods for analyzing miRNAs, including Northern blot-based platforms, in situ hybridization, reverse transcription qPCR, microarray, and next-generation sequencing, are still far from being used as ideal POC diagnostic tools, due to considerable time, expertize required for sample preparation, and in terms of miniaturizations making them suitable platforms for centralized labs. In this review, we highlight various existing and upcoming technologies for miRNA amplification and detection with a particular emphasis on the POC testing industries. The review summarizes different miRNA targets and signals amplification-based assays, from conventional methods to alternative technologies, such as isothermal amplification, paper-based, oligonucleotide-templated reaction, nanobead-based, electrochemical signaling- based, and microfluidic chip-based strategies. Based on critical analysis of these technologies, the possibilities and feasibilities for further development of POC testing for miRNA diagnostics are addressed and discussed.

Indexed as

Genetic TechniquesMicroRNAsPoint-of-Care SystemsHumansMicroRNAs

Identifiers

PMID30542067
OpenAlexW2904490758

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.