Evidence map›Paper›PMID 41030575›Full record

ReviewInternational journal of nanomedicine2025

Recent Advances in Smart Polymers-Based Therapeutics in Ophthalmology.

Jia'nan Xie, Lili Nie, Ying Pei

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Jia'nan XieDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130000, People's Republic of China.
Lili NieDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130000, People's Republic of China.
Ying PeiDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ophthalmic diseases represent a significant burden on global health, contributing to widespread visual impairment and blindness. The distinct anatomical and physiological barriers of the eye significantly restrict the use of conventional ocular delivery techniques. This has prompted research into cutting-edge drug delivery methods that optimize therapeutic benefits and reduce adverse effects. The use of polymer-based drug delivery systems is a promising technique that provides regulated drug release over long periods of time, enhances drug stability, and guarantees localized distribution to specific ocular tissues. This field has been revolutionized by recent advancements in smart polymer-based systems, which enable the development of drug delivery platforms that react dynamically to certain stimuli like pH, temperature, light, and enzymes. By releasing the active pharmaceutical ingredients only when specific conditions are met, these stimuli-responsive devices are intended for delivering medications in a controlled manner, improving treatment precision and minimizing undesirable systemic effects. This review summarizes recent developments in smart polymer-based therapies for ophthalmology, highlighting advances in stimuli-responsive, biodegradable, and multifunctional polymers that have the potential to transform ocular drug delivery, enhance therapeutic efficacy, and improve patient adherence in managing various eye conditions.

Indexed as

Drug Delivery SystemsEye DiseasesPolymersAdministration, OphthalmicAnimalsDrug LiberationHumansOphthalmologyPolymersbiocompatibilitydrug deliverynanotechnologyocular diseasessynthetic polymers

Identifiers

PMID41030575
PMCPMC12478220

What Socratic 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 Socratic graph.