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Updated: Jun 28, 2026
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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
Predictive models to estimate the risk of glaucoma development and progression
Felipe A Medeiros1, Robert N Weinreb
1Hamilton Glaucoma Center, University of California, San Diego, La Jolla, CA 92093-0946, USA. fmedeiros@eyecenter.ucsd.edu
Progress in Brain Research
|October 22, 2008
Summary
This chapter reviews building predictive models for glaucoma development and progression. It covers risk factors, model construction, validation, and current limitations for better disease management.
Area of Science:
- Ophthalmology
- Biostatistics
- Medical Informatics
Background:
- Glaucoma is a leading cause of irreversible blindness worldwide.
- Early detection and risk stratification are crucial for preventing vision loss.
- Predictive modeling offers a promising approach to identify at-risk individuals.
Purpose of the Study:
- To review the methodologies for constructing and validating predictive models for glaucoma.
- To critically analyze existing literature on glaucoma risk factors.
- To explore the potential of predictive models for both glaucoma development and progression.
Main Methods:
- Literature review of risk factors associated with glaucoma.
- Analysis of steps involved in building and validating predictive models.
- Evaluation of current predictive models for ocular hypertension and glaucoma progression.
Main Results:
- Identified key risk factors for glaucoma development and progression.
- Outlined essential steps for creating robust predictive models.
- Assessed the utility and limitations of existing glaucoma risk assessment tools.
Conclusions:
- Predictive models are valuable tools for glaucoma risk assessment.
- Further research is needed to refine models for predicting disease progression.
- Improved models can enhance clinical decision-making and patient outcomes.
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