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Eye-level candidate risk models

Biomarker

1 paper studies it2 findings

See all 1

  • Humans1

Effects

1

Risk score separability

upin humans1

1 study

  1. Eye-level candidate risk models improve risk score separability in humans (χ 2 ≥ 3.85, p < 0.05).

    “Assigning one point per retained biomarker, based on similar adjusted risks, improved risk score separability (χ 2 ≥ 3.85, p < 0.05)”

    Humansearly/intermediate AMD1-3 yearsn = 269

    Proposal of a Simpler Eye-Level Risk Model Incorporating Reticular Pseudodrusen for the Clinical Prediction of Late Age-Related Macular Degeneration

    Clinical & experimental ophthalmology

Associations

1

Progression to late age-related macular degeneration

upin humans1

1 study

  1. Eye-level candidate risk models predict progression to late age-related macular degeneration in humans (AUC up to 84.71% ± 4.72%).

    “redefining RPD presence as eye-specific maintained prognostic performance (up to 84.71% ± 4.72%).”

    Humansearly/intermediate AMD1-3 yearsn = 269

    Proposal of a Simpler Eye-Level Risk Model Incorporating Reticular Pseudodrusen for the Clinical Prediction of Late Age-Related Macular Degeneration

    Clinical & experimental ophthalmology

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