Evidence map›Paper›PMID 34150486›Full record

ReviewActa pharmaceutica Sinica. B2021

Microneedle-based devices for point-of-care infectious disease diagnostics.

Rachael V Dixon, Eldhose Skaria, Wing Man Lau, Philip Manning, Mark A Birch-Machin, S Moein Moghimi, Keng Wooi Ng

Open access · diamondAbstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 90 citations in OpenAlex.

  1. Review
  2. Bioelectronic Considerations in Biomedical Microneedles.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Engineering Stimuli-Responsive Materials for Precision Medicine.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. The promise of microneedle technologies for drug delivery.Drug delivery and translational research · 2024
    Article
  16. Microneedle Sensors for Point-of-Care Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  17. Article
  18. Article
  19. Gastrointestinal tract disease detection via deep learning based structural and statistical features optimized hexa-classification model.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    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

7 authors at 2 institutions in 1 country.

Rachael V DixonSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
Eldhose SkariaWellcome Trust Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
Wing Man LauSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
Philip ManningTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK.
Mark A Birch-MachinTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK.
S Moein MoghimiSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
Keng Wooi NgSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
Newcastle University · GBWellcome Centre for Cell-Matrix Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent infectious disease outbreaks, such as COVID-19 and Ebola, have highlighted the need for rapid and accurate diagnosis to initiate treatment and curb transmission. Successful diagnostic strategies critically depend on the efficiency of biological sampling and timely analysis. However, current diagnostic techniques are invasive/intrusive and present a severe bottleneck by requiring specialist equipment and trained personnel. Moreover, centralised test facilities are poorly accessible and the requirement to travel may increase disease transmission. Self-administrable, point-of-care (PoC) microneedle diagnostic devices could provide a viable solution to these problems. These miniature needle arrays can detect biomarkers in/from the skin in a minimally invasive manner to provide (near-) real-time diagnosis. Few microneedle devices have been developed specifically for infectious disease diagnosis, though similar technologies are well established in other fields and generally adaptable for infectious disease diagnosis. These include microneedles for biofluid extraction, microneedle sensors and analyte-capturing microneedles, or combinations thereof. Analyte sampling/detection from both blood and dermal interstitial fluid is possible. These technologies are in their early stages of development for infectious disease diagnostics, and there is a vast scope for further development. In this review, we discuss the utility and future outlook of these microneedle technologies in infectious disease diagnosis.

Indexed as

AC, alternating currentAPCs, antigen-presenting cellsASSURED, affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free and deliverable to end-usersBiomarker detectionBiosensorcfDNA, cell-free deoxyribonucleic acidCMOS, complementary metal-oxide semiconductorCOVID-19COVID, coronavirus diseaseCSF, cerebrospinal fluidCT, computerised tomographyCV, cyclic voltammetryDC, direct currentDNA, deoxyribonucleic acidDPV, differential pulse voltammetryEBV, Epstein–Barr virusEDC/NHS, 1-ethyl-3-(3-dimethylaminoproply) carbodiimide/N-hydroxysuccinimideELISA, enzyme-linked immunosorbent assayGOx, glucose oxidaseHIV, human immunodeficiency virusHPLC, high performance liquid chromatographyHRP, horseradish peroxidaseIgG, immunoglobulin GInfectious diseaseIP, iontophoresisISF, interstitial fluidJEV, Japanese encephalitis virusMicroneedleMN, microneedleNA, nucleic acidOBMT, one-touch-activated blood multidiagnostic toolOPD, o-phenylenediaminePCB, printed circuit boardPCR, polymerase chain reactionPDMS, polydimethylsiloxanePEDOT, poly(3,4-ethylenedioxythiophene)PNA, peptide nucleic acidPoC, point-of-carePoint-of-care diagnostics (PoC)PPD, poly(o-phenylenediamine)PP, polyphenolSALT, skin-associated lymphoid tissueSAM, self-assembled monolayerSEM, scanning electron microscopeSERS, surface-enhanced Raman spectroscopySkinSWV, square wave voltammetryTB, tuberculosisUV, ultravioletVEGF, vascular endothelial growth factorWHO, World Health Organisation

Identifiers

PMID34150486
PMCPMC8206489
OpenAlexW3126455890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.