Evidence map›Paper›PMID 23826539›Full record

ArticleInternational journal of ophthalmology2013

Nanoparticles in the ocular drug delivery.

Hong-Yan Zhou, Ji-Long Hao, Shuang Wang, Yu Zheng, Wen-Song Zhang

Open access · greenAbstract read
In one paragraph

Article in International journal of ophthalmology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

45 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Mucoadhesive micelles for ophthalmic drug delivery.Journal of biomaterials applications · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Nanozymes for Treating Ocular Diseases.Advanced healthcare materials · 2025
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Seeing the Future: A Review of Ocular Therapy.Bioengineering (Basel, Switzerland) · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  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

5 authors at 1 institution in 1 country.

Hong-Yan ZhouDepartment of Ophthalmology, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China.
Ji-Long Hao
Shuang Wang
Yu Zheng
Wen-Song Zhang
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocular drug transport barriers pose a challenge for drug delivery comprising the ocular surface epithelium, the tear film and internal barriers of the blood-aqueous and blood-retina barriers. Ocular drug delivery efficiency depends on the barriers and the clearance from the choroidal, conjunctival vessels and lymphatic. Traditional drug administration reduces the clinical efficacy especially for poor water soluble molecules and for the posterior segment of the eye. Nanoparticles (NPs) have been designed to overcome the barriers, increase the drug penetration at the target site and prolong the drug levels by few internals of drug administrations in lower doses without any toxicity compared to the conventional eye drops. With the aid of high specificity and multifunctionality, DNA NPs can be resulted in higher transfection efficiency for gene therapy. NPs could target at cornea, retina and choroid by surficial applications and intravitreal injection. This review is concerned with recent findings and applications of NPs drug delivery systems for the treatment of different eye diseases.

Indexed as

drug deliveryeyenanoparticles

Identifiers

PMID23826539
PMCPMC3693026
OpenAlexW142830980

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.