Evidence map›Paper›PMID 42027954›Full record

ReviewAsian journal of pharmaceutical sciences2026

Microneedle technology in the treatment of ocular diseases: Advances and applications.

Jing Li, Zi Yan, Dengxuan Mao, Xiumei Liu, Peixin Lee, Yaqi Lyu, Nianping Feng

Abstract readReview
In one paragraph

Review in Asian journal of pharmaceutical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Chitosan-basedJournal of advanced pharmaceutical technology & research
    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

7 authors.

Jing LiSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Zi YanSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Dengxuan MaoSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Xiumei LiuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Peixin LeeSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Yaqi LyuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Nianping FengSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microneedle (MN) technology has emerged as a transformative approach for treating ocular diseases, addressing the limitations of conventional drug delivery methods such as low bioavailability and poor patient compliance. This review highlights the advancements and applications of MNs in managing both anterior and posterior segment ocular diseases. MNs overcome physiological barriers, enabling precise, minimally invasive drug delivery with enhanced efficacy. Various MN designs, such as solid, coated, soluble, hollow, hydrogel and cryo-MNs, are tailored for specific therapeutic needs, offering rapid or sustained drug release. Applications include treating keratitis, glaucoma, age-related macular degeneration and diabetic retinopathy, demonstrating improved drug penetration and reduced side effects. Despite challenges in manufacturing and clinical translation, MN technology holds promise for revolutionizing ocular therapeutics through innovations in materials, design, and personalized medicine.

Indexed as

Anterior segment diseasesDrug deliveryMicroneedle technologyOcular physiological barriersPosterior segment diseases

Identifiers

PMID42027954
PMCPMC13101600

What OpenQuestion holds

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LicenceCC BY
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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.