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Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis
Published on: November 12, 2015
Natural History and Progression of Untreated Keratoconus: An Updated Systematic Review and Meta-Analysis
Tsung-Hsien Tsai1,2, Jui-Hung Hsu3, Chin-Ling Tsai4,5
1Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Purpose:
To perform an updated systematic review and meta-analysis of the natural history of untreated keratoconus by incorporating advanced diagnostic parameters and extended follow-up periods.
Materials And Methods:
We searched PubMed, Embase, Web of Science, Scopus from inception to September 25, 2025. Eligible studies followed untreated keratoconus eyes for ≥6 months and reported longitudinal changes in conventional and/or advanced progression metrics. Outcomes were pooled using random-effects models. Subgroup analyses and meta-regression were performed to explore heterogeneity and identify predictors of progression.
Results:
Ninety-two studies encompassing 30,342 untreated keratoconus eyes were included; 47 studies were eligible for meta-analysis. A significant progressive increase in maximum keratometry (Kmax) was observed over time (mean change: 0.28 D at <12 months, 0.62 D at 12 months, and 1.21 D at >12 months; all p < .05). Mean keratometry (Kmean), steep keratometry, flat keratometry, and thinnest corneal thickness also showed significant deterioration beyond 12 months. Meta-regression demonstrated that younger age and higher baseline Kmean predicted greater Kmax progression; in Pentacam-based analyses, each 1-D increase in baseline Kmean predicted a 0.54-D increase in Kmax at 12 months (p < .001), while each 10-year increase in age reduced Kmax progression by 1.46 D (p < .001).
Conclusions:
Untreated keratoconus shows time-dependent progression, with younger age and steeper baseline Kmean associated with faster worsening. Compared with Kmax, baseline Kmean may be a more reproducible predictor of subsequent progression. A multidimensional monitoring approach incorporating both conventional and advanced metrics may improve risk stratification and support timely intervention.
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