Evidence map›Paper›PMID 31193810›Full record

ReviewActa pharmaceutica Sinica. B2019

Recent advances of microneedles for biomedical applications: drug delivery and beyond.

Jian Yang, Xinli Liu, Yunzhi Fu, Yujun Song

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
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  9. Review
  10. Article
  11. Review
  12. Review
  13. Microneedle-Assisted Cell Delivery and Therapy.Research (Washington, D.C.) · 2026
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Review

60 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

4 authors.

Jian YangCollege of Materials Science and Chemical Engineering, Hainan University, Haikou 570228, China.
Xinli LiuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China.
Yunzhi FuCollege of Materials Science and Chemical Engineering, Hainan University, Haikou 570228, China.
Yujun SongCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microneedle (MN), a highly efficient and versatile device, has attracted extensive scientific and industrial interests in the past decades due to prominent properties including painless penetration, low cost, excellent therapeutic efficacy, and relative safety. The robust microneedle enabling transdermal delivery has a paramount potential to create advanced functional devices with superior nature for biomedical applications. In this review, a great effort has been made to summarize the advance of microneedles including their materials and latest fabrication method, such as three-dimensional printing (3DP). Importantly, a variety of representative biomedical applications of microneedles such as disease treatment, immunobiological administration, disease diagnosis and cosmetic field, are highlighted in detail. At last, conclusions and future perspectives for development of advanced microneedles in biomedical fields have been discussed systematically. Taken together, as an emerging tool, microneedles have showed profound promise for biomedical applications.

Indexed as

3D printingBiomedical applicationsDisease diagnosisDisease treatmentDrug deliveryImmunobiological administrationMicrofabricated deviceMicroneedle patches

Identifiers

PMID31193810
PMCPMC6543086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.