Literature DB >> 31094286

Using Decision Curve Analysis to Evaluate Common Strategies for Myopia Screening in School-Aged Children.

Senlin Lin1,2, Yingyan Ma1,2, Xiangui He1,2, Jianfeng Zhu1,2, Haidong Zou1,2.   

Abstract

Purpose: To evaluate common strategies for screening myopia.
Methods: A total of 2,248 children aged 6 to 12 years from five randomly selected primary schools were included for the screening. Enrolled study participants underwent distant uncorrected visual acuity (UCVA, Standard Logarithmic Visual Acuity E Chart) and non-cycloplegic auto-refraction (NCAR, Topcon KR-8800). Among them, 1,639 children (72.9%) accepted cycloplegic auto-refraction. Taking rejection of cycloplegia into account, receiver operating characteristic curves were drawn to compare the accuracies of the four strategies (I, Cycloplegic auto-refraction; II, NCAR; III, UCVA; IV, Combination of UCVA and NCAR). Decision curve analysis (DCA) was used to compare net benefits. Tenfold cross-validation was used for statistical analyses.
Results: For myopia (spherical equivalent refraction, SE ≤ -0.5D) screening, the mean sensitivities were 73.79% (SD: 5.40%), 85.57% (6.84%), 59.71% (13.49%), and 85.06% (6.68%) for Strategy I to IV; with mean specificities of 100% (0%), 87.43% (4.27%), 89.74% (10.25%), and 88.65% (5.07%), respectively. For screening early myopia (SE ≤ -0.5D and ≥-1.0D), the mean sensitivities were 73.44% (7.69%), 82.39% (5.32%), 54.27% (14.58%), and 81.76% (9.60%) for Strategy I to IV; with mean specificities of 100% (0%), 79.13% (4.86%), 85.48% (9.86%), and 81.17% (4.16%). Based on DCA, the net benefits of Strategy IV were the highest, with the probability thresholds ranging from 12% to 50%, after adjusting the TestHarms. For early myopia, the net benefits of Strategy IV were the highest with the probability threshold ranging from 5% to 34%.
Conclusion: Combination of UCVA and NCAR produced the highest net benefits for myopia screening.

Entities:  

Keywords:  Myopia; cycloplegia autorefraction; decision curve analysis; receiver operating characteristic curve; visual acuity test

Mesh:

Year:  2019        PMID: 31094286     DOI: 10.1080/09286586.2019.1616774

Source DB:  PubMed          Journal:  Ophthalmic Epidemiol        ISSN: 0928-6586            Impact factor:   1.648


  3 in total

1.  Survey on the Progression of Myopia in Children and Adolescents in Chongqing During COVID-19 Pandemic.

Authors:  Wujiao Wang; Lu Zhu; Shijie Zheng; Yan Ji; Yongguo Xiang; Bingjing Lv; Liang Xiong; Zhuoyu Li; Shenglan Yi; Hongyun Huang; Li Zhang; Fangli Liu; Wenjuan Wan; Ke Hu
Journal:  Front Public Health       Date:  2021-04-28

2.  The change of myopic prevalence in children and adolescents before and after COVID-19 pandemic in Suqian, China.

Authors:  Hongyan Chen; Ya Liao; Wen Zhou; Lei Dong; Wei Wang; Xiaojuan Wang
Journal:  PLoS One       Date:  2022-03-21       Impact factor: 3.240

3.  Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study.

Authors:  Shi-Ming Li; Ming-Yang Ren; Jiahe Gan; San-Guo Zhang; Meng-Tian Kang; He Li; David A Atchison; Jos Rozema; Andrzej Grzybowski; Ningli Wang
Journal:  Ophthalmol Ther       Date:  2022-01-21
  3 in total

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