Study2026

Early changes in ocular biometry predict long-term treatment outcomes following repeated low-level red-light therapy

Zhou K, Ma X, Shen D, Zhao J, Sun X, Wei W

Photodiagnosis and photodynamic therapy · 1 citation

Review labels

Funding not disclosed

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Cohort study (classified by our AI screen)
Studied in
People
Main outcome
Health markers and function

Who paid for it

Funding
Funding not disclosed

Publication

Published
2026-02-26 · Photodiagnosis Photodyn Ther · vol. 58 · p. 105414
Publisher
Elsevier BV
Cited
1 citation · more than 93% of similar papers · 5.5× the field average
Impact
Top 10% most cited in its field
References
42 works
Access
Open access (journal) · CC-BY-NC-ND
Research areas
Ophthalmology and Visual Impairment Studies · Retinopathy of Prematurity Studies · Corneal surgery and disorders
Keywords
Clinical Practice, Baseline (sea), Clinical trial, Eye disease, MEDLINE
MeSH
humans, myopia, prognosis, treatment outcome, photochemotherapy, retrospective studies, biometry, child, female, male, axial length, eye, red light

6 authors

From CN

  • Kun ZhouShanxi Medical University; Microbiology Institute of Shaanxi; Shanxi Provincial People’s Hospital
  • Xiaohuan MaShanxi Medical University; Microbiology Institute of Shaanxi; Shanxi Provincial People’s Hospital
  • Di ShenShanxi Medical University; Microbiology Institute of Shaanxi; Shanxi Provincial People’s Hospital
  • Junhong ZhaoShanxi Medical University; Microbiology Institute of Shaanxi; Shanxi Provincial People’s Hospital
  • Xiyu Sun · correspondingShanxi Medical University; Microbiology Institute of Shaanxi; Shanxi Provincial People’s Hospital
  • Wei Wei · correspondingMicrobiology Institute of Shaanxi

Abstract

Purpose

Repeated low-level red-light (RLRL) therapy has emerged as a promising intervention for pediatric myopia control. However, substantial inter-individual variability in treatment response limits its clinical applicability. Reliable tools for early identification of long-term responders remain limited. This study aimed to develop a prognostic model based on early axial length (AL) dynamics to predict long-term myopia control outcomes in children undergoing RLRL therapy.

Methods

This retrospective cohort study included myopic children treated with RLRL therapy at Xi'an No.1 Hospital between August 2022 and December 2025. Participants were classified into good- and poor-prognosis groups based on yearly AL change (≤ -0.06 vs. > -0.06 mm/year). Demographic characteristics, baseline spherical equivalent (SE), subfoveal choroidal thickness (sChT), and ocular biometric parameters at baseline and at 1 and 3 months post-treatment were collected. Univariable logistic regression was used to screen potential predictors, and nomograms were constructed for prognostic modeling.

Results

A total of 69 children were enrolled (35 good-prognosis, 34 poor-prognosis). Significant differences were observed in baseline SE, AL, 1-month AL change, 3-month AL change, and the AL change rate over the first 3 months (all P < 0.05). The nomogram incorporating age, sex, and 3-month AL change showed the highest predictive performance, with an AUC of 0.961. No serious adverse events were observed during follow-up.

Conclusions

RLRL therapy is effective and safe for controlling myopia progression in children. Early AL dynamics, combined with baseline ocular parameters, provide strong predictive power for long-term outcomes, supporting individualized myopia management and risk-stratified clinical decision-making.

Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-ND).

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