Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

IMI – Defining and classifying myopia: A proposed set of standards for clinical and epidemiologic studies

Investigative Ophthalmology and Visual Science, Volume 60, No. 3, Year 2019

PURPOSE. We provide a standardized set of terminology, definitions, and thresholds of myopia and its main ocular complications. METHODS. Critical review of current terminology and choice of myopia thresholds was done to ensure that the proposed standards are appropriate for clinical research purposes, relevant to the underlying biology of myopia, acceptable to researchers in the field, and useful for developing health policy. RESULTS. We recommend that the many descriptive terms of myopia be consolidated into the following descriptive categories: myopia, secondary myopia, axial myopia, and refractive myopia. To provide a framework for research into myopia prevention, the condition of ‘‘pre-myopia’’ is defined. As a quantitative trait, we recommend that myopia be divided into myopia (i.e., all myopia), low myopia, and high myopia. The current consensus threshold value for myopia is a spherical equivalent refractive error 0.50 diopters (D), but this carries significant risks of classification bias. The current consensus threshold value for high myopia is a spherical equivalent refractive error 6.00 D. ‘‘Pathologic myopia’’ is proposed as the categorical term for the adverse, structural complications of myopia. A clinical classification is proposed to encompass the scope of such structural complications. CONCLUSIONS. Standardized definitions and consistent choice of thresholds are essential elements of evidence-based medicine. It is hoped that these proposals, or derivations from them, will facilitate rigorous, evidence-based approaches to the study and management of myopia. © 2019 The Authors.
Statistics
Citations: 411
Authors: 9
Affiliations: 8
Identifiers
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Study Approach
Quantitative