Corneal biomechanical property changes following corneal collagen cross-linking in keratoconus: a systematic review and meta-regression analysis
Corneal biomechanical property changes following corneal collagen cross-linking in keratoconus: a systematic review and meta-regression analysis
Krungkraipetch et al., 2025 | Int Ophthalmol | Meta Analysis
Citation
Krungkraipetch Luksanaporn, Assawaboonyadech Angkhana, Supajitgulchai Dutdao. Corneal biomechanical property changes following corneal collagen cross-linking in keratoconus: a systematic review and meta-regression analysis. Int Ophthalmol. 2025-Jun-28;45(1):270. doi:10.1007/s10792-025-03617-z
Abstract
PURPOSE: To evaluate the changes in corneal biomechanical properties following corneal collagen cross-linking (CXL) in keratoconus patients and determine factors influencing measurement sensitivity through systematic review and meta-regression analysis. METHODS: A comprehensive literature search was conducted across PubMed, Scopus, Cochrane Library, and Google Scholar, identifying 8139 records. After duplicate removal and screening, 12 eligible studies (2009-2024) involving various CXL protocols and measurement tools (Corvis ST, Ocular Response Analyzer [ORA], and Ambrsio Relational Thickness [ART]) were included. Risk of bias was assessed using ROBINS-I and the NIH Quality Assessment Tool. Effect sizes were synthesized using random-effects meta-analysis, and heterogeneity was quantified using I2 statistics. Meta-regression was performed to evaluate associations between corneal stiffness and visual acuity outcomes. Publication bias was assessed through funnel plots, Egger's test, and trim-and-fill analysis. RESULTS: CXL significantly improved corneal biomechanical properties, particularly when assessed with Corvis ST, which detected changes in 75% of studies, compared to 25% using ORA. Dynamic parameters such as V1, V2, and L2 were more sensitive than standard metrics. Meta-regression revealed a significant correlation between corneal stiffness and visual acuity for Corvis ST (p = 0.02 and p = 0.04, respectively), but not for ORA. The pooled effect size for biomechanical change was 0.74 (95% CI 0.59-0.89), reduced to 0.62 after Trim-and-Fill adjustment, suggesting 16.2% potential publication bias. Egger's test confirmed small-study effects (p = 0.024). Heterogeneity was high (I2 = 98.3%), attributed to variability in protocols and study designs. CONCLUSIONS: CXL leads to sustained improvements in corneal biomechanical properties in keratoconus patients, with stronger and more consistent detection using dynamic and device-specific metrics, particularly with Corvis ST. While findings support the long-term efficacy of CXL, variability in measurement protocols underscores the need for standardization. Meta-regression confirms the clinical relevance of biomechanical improvements, especially their correlation with visual function.
Key Findings
CXL significantly improved corneal biomechanical properties, particularly when assessed with Corvis ST, which detected changes in 75% of studies, compared to 25% using ORA. Dynamic parameters such as V1, V2, and L2 were more sensitive than standard metrics. Meta-regression revealed a significant correlation between corneal stiffness and visual acuity for Corvis ST (p = 0.02 and p = 0.04, respectively), but not for ORA. The pooled effect size for biomechanical change was 0.74 (95% CI 0.59-0.89),
Outcomes Measured
- Requires manual extraction
Population
| Field | Value |
|---|---|
| Population | See abstract |
| Sample Size | See abstract |
| Age Range | See abstract |
| Condition | See abstract |
MeSH Terms
- Humans
- Keratoconus
- Collagen
- Cross-Linking Reagents
- Cornea
- Biomechanical Phenomena
- Photochemotherapy
- Photosensitizing Agents
- Visual Acuity
- Ultraviolet Rays
- Riboflavin
- Elasticity
- Corneal Cross-Linking
Evidence Classification
- Level: Meta Analysis
- Publication Types: Journal Article, Systematic Review, Meta-Analysis
- Vertical: collagen
Provenance
- PMID: 40580225
- DOI: 10.1007/s10792-025-03617-z
- PMCID: Not in PMC
- Verified: 2026-04-09 via PubMed E-utilities API
Source extracted via PubMed E-utilities API on 2026-04-09