Evidence mapPaperPMID 42529906Full record

ReviewMolecular nutrition & food research2026

The Therapeutic Use of Natural Products in Myopia Prevention: Recent Applications.

Gaolei Wang, Cong Ren, Xiaoyun Dong, Lianghui Zhao, Bin Guo

Abstract readReview
In one paragraph

Review in Molecular nutrition & food research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gaolei WangShandong University of Traditional Chinese Medicine, Jinan, China.
Cong RenShandong University of Traditional Chinese Medicine, Jinan, China.
Xiaoyun DongShandong University of Traditional Chinese Medicine, Jinan, China.
Lianghui ZhaoShandong University of Traditional Chinese Medicine, Jinan, China.
Bin GuoShandong University of Traditional Chinese Medicine, Jinan, China.

Funding

Clinical Research Special Project of Shandong University of Traditional Chinese Medicine LCKY202432Cultivation Program for High-level Talents in Traditional Chinese Medicine in Shandong ProvinceNatural Science Foundation Project of Shandong Province ZR2020MH393Qingdao Municipal Medical and Health Research Projects 2025-WJKY189Shandong Key Laboratory of Eye Diseases SKLED202607Shandong Postdoctoral Science Foundation SDZZ-ZR-202501476
6 · The paper itself

Abstract

Myopia is one of the most common vision-impairing eye diseases worldwide. In recent years, its incidence has exhibited a growing trend toward both higher prevalence and earlier age of onset, underscoring the urgent need to investigate its pathogenesis and develop effective preventive strategies. Currently, behavioral intervention, optical correction, and pharmacological therapies constitute the three primary strategies for myopia control. Although these approaches have demonstrated measurable efficacy, each is limited by inherent drawbacks. Natural products, characterized by diverse chemical structures, widespread availability, potent biological activities, and relatively low toxicity, offer significant advantages in myopia prevention and have increasingly emerged as a focal point of research. This review will discuss the latest discoveries and applications of natural products in myopia prevention, aiming to provide a theoretical foundation for the development of novel intervention strategies.

Indexed as

Biological ProductsMyopiaAnimalsHumansBiological Productschoroidal thicknessinflammationmyopianatural productsscleral remodeling

Identifiers

PMID42529906
PMCPMC13419371

What Socratic 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 Socratic graph.