Bigger Databases, Better Glaucoma Detection?
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April 21, 2026
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3 min
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Larger real-world OCT databases improve glaucoma detection accuracy.
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The study compared a standard database of 398 eyes to a larger one of 4,830 eyes.
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Discrepancies in glaucoma classifications were notable with g-cpRNFL metrics.
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Healthy eyes saw minimal classification differences, around 1%.
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Larger databases yield more stable cutoff estimates reducing sampling error impact.
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Clinicians should view OCT results as statistical constructs, not fixed truths.
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Enhancing normative databases can lead to better clinical decision-making.