Evidence map›Paper›PMID 32150866›Full record

ReviewMicromachines2020

Engineering Microneedles for Therapy and Diagnosis: A Survey.

Liping Xie, Hedele Zeng, Jianjun Sun, Wei Qian

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 89 citations in OpenAlex.

  1. Review
  2. Article
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  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Cleanroom-Free Fabrication of Microneedles for Multimodal Drug Delivery.Small (Weinheim an der Bergstrasse, Germany) · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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

4 authors at 2 institutions in 2 countries.

Liping XieCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Hedele ZengCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Jianjun SunBorder Biomedical Research Center, University of Texas at El Paso, El Paso, TX 79968, USA.
Wei QianDepartment of Electrical and Computer Engineering, University of Texas, EI Paso, TX 79968, USA.
Northeastern University · CNThe University of Texas at El Paso · US

Funding

National Natural Science Foundation of China 31770147, 81501556
6 · The paper itself

Abstract

Microneedle (MN) technology is a rising star in the point-of-care (POC) field, which has gained increasing attention from scientists and clinics. MN-based POC devices show great potential for detecting various analytes of clinical interests and transdermal drug delivery in a minimally invasive manner owing to MNs' micro-size sharp tips and ease of use. This review aims to go through the recent achievements in MN-based devices by investigating the selection of materials, fabrication techniques, classification, and application, respectively. We further highlight critical aspects of MN platforms for transdermal biofluids extraction, diagnosis, and drug delivery assisted disease therapy. Moreover, multifunctional MNs for stimulus-responsive drug delivery systems were discussed, which show incredible potential for accurate and efficient disease treatment in dynamic environments for a long period of time. In addition, we also discuss the remaining challenges and emerging trend of MN-based POC devices from the bench to the bedside.

Indexed as

diagnosisdrug deliverymicroneedlepoint of care

Identifiers

PMID32150866
PMCPMC7143426
OpenAlexW3010175275

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.