Evidence map›Paper›PMID 36267540›Full record

ReviewInternational journal of nanomedicine2022

An Update on Novel Ocular Nanosystems with Possible Benefits in the Treatment of Corneal Neovascularization.

Chenchen Zhang, Yuan Yin, Jing Zhao, Yanxia Li, Yuanping Wang, Zhaoying Zhang, Lingzhi Niu, Yajuan Zheng

Open access · goldAbstract readReview
In one paragraph

Review in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Antibody-Empowered Nanomedicine for Precise Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Available Therapeutic Options for Corneal Neovascularization: A Review.International journal of molecular sciences · 2024
    Review
  8. Article
  9. How Advanced are Nanocarriers for Effective Subretinal Injection?International journal of nanomedicine · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. 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

8 authors at 2 institutions in 1 country.

Chenchen ZhangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.ORCID 0000-0002-2684-3685
Yuan YinDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.
Jing ZhaoDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.
Yanxia LiDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.
Yuanping WangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.
Zhaoying ZhangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.ORCID 0000-0001-6689-5984
Lingzhi NiuDepartment of Ophthalmology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, People's Republic of China.
Yajuan ZhengDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, People's Republic of China.ORCID 0000-0003-2327-3733
Second Affiliated Hospital of Jilin University · CNShandong Provincial QianFoShan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal neovascularization (CNV) is an ocular pathological change that results from an imbalance between angiogenic factors and antiangiogenic factors as a result of various ocular insults, including infection, inflammation, hypoxia, trauma, corneal degeneration, and corneal transplantation. Current clinical strategies for the treatment of CNV include pharmacological treatment and surgical intervention. Despite some degree of success, the current treatment strategies are restricted by limited efficacy, adverse effects, and a short duration of action. Recently, gene-based antiangiogenic therapy has become an emerging strategy that has attracted considerable interest. However, potential complications with the use of viral vectors, such as potential genotoxicity resulting from long-term expression and nonspecific targeting, cannot be ignored. The use of ocular nanosystems (ONS) based on nanotechnology has emerged as a great advantage in ocular disease treatment during the last two decades. The potential functions of ONS range from nanocarriers, which deliver drugs and genes to target sites in the eye, to therapeutic agents themselves. Various preclinical studies conducted to date have demonstrated promising results of the use of ONS in the treatment of CNV. In this review, we provide an overview of CNV and its current therapeutic strategies and summarize the properties and applications of various ONS related to the treatment of CNV reported to date. Our goal is to provide a comprehensive review of these considerable advances in ONS in the field of CNV therapy over the past two decades to fill the gaps in previous related reports. Finally, we discuss existing challenges and future perspectives of the use of ONS in CNV therapy, with the goal of providing a theoretical contribution to facilitate future practical growth in the area.

Indexed as

Corneal NeovascularizationAngiogenesis InhibitorsEyeGenetic TherapyGenetic VectorsHumansAngiogenesis Inhibitorscorneal neovascularizationdrug deliverygene therapynanocarriersocular nanosystems

Identifiers

PMID36267540
PMCPMC9578304
OpenAlexW4306699936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.