Myopia prediction: a systematic review

Eye (Lond). 2022 May;36(5):921-929. doi: 10.1038/s41433-021-01805-6. Epub 2021 Oct 13.

Abstract

Myopia is a leading cause of visual impairment and has raised significant international concern in recent decades with rapidly increasing prevalence and incidence worldwide. Accurate prediction of future myopia risk could help identify high-risk children for early targeted intervention to delay myopia onset or slow myopia progression. Researchers have built and assessed various myopia prediction models based on different datasets, including baseline refraction or biometric data, lifestyle data, genetic data, and data integration. Here, we summarize all related work published in the past 30 years and provide a comprehensive review of myopia prediction methods, datasets, and performance, which could serve as a useful reference and valuable guideline for future research.

摘要: 近视是导致视力损害的主要原因之一, 近几十年来, 随着全球范围内患病率和发病率的迅速上升, 近视已经引起了国际社会的广泛关注。对未来近视风险的准确预测可以帮助识别具有高风险的儿童, 以便进行早期有针对性的干预, 以延迟近视发病或减缓近视进展。研究人员基于不同的数据库建立并评估了各种近视预测模型, 包括基线屈光或生物特征的数据库、生活方式的数据库、基因的数据库和各数据库的整合。在这里, 我们总结了过去30年发表的所有相关工作, 并对近视的预测方法、数据库和表现进行了全面的综述, 给未来的研究提供了有用的参考和有价值的指导。.

Publication types

  • Review
  • Systematic Review

MeSH terms

  • Biometry
  • Child
  • Disease Progression
  • Humans
  • Incidence
  • Myopia* / diagnosis
  • Myopia* / epidemiology
  • Refraction, Ocular