Literature DB >> 7610596

The utility of three predictors of childhood myopia: a Bayesian analysis.

D O Mutti1, K Zadnik.   

Abstract

Any treatment to prevent the onset of juvenile myopia will require predictive tests in order to determine which children should receive treatment. Three risk factors for myopia were evaluated for their ability to predict myopia: (a) refraction at school entry; (b) refraction in infancy; and (c) parental history of myopia. Bayes' theorem was used to estimate these conditional probabilities. Refraction at school entry had twice the power to predict myopia (probability of juvenile myopia given the child is near emmetropia at school entry = 0.53) compared to either infant refraction (0.21-0.28) or parental myopia (0.20-0.25). While a history of any parent having myopia had the highest test sensitivity (probability of a positive family history of myopia given juvenile myopia in the child = 0.90) and refraction at school entry the highest test specificity (probability of more hyperopia than +0.50 D at school entry given no juvenile myopia = 0.91), none of these three factors had high values for both sensitivity and specificity. Further work is required to develop a battery of tests which could predict the onset of juvenile myopia with both adequate sensitivity and specificity.

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Year:  1995        PMID: 7610596     DOI: 10.1016/0042-6989(94)00225-b

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  5 in total

1.  Prediction of Juvenile-Onset Myopia.

Authors:  Karla Zadnik; Loraine T Sinnott; Susan A Cotter; Lisa A Jones-Jordan; Robert N Kleinstein; Ruth E Manny; J Daniel Twelker; Donald O Mutti
Journal:  JAMA Ophthalmol       Date:  2015-06       Impact factor: 7.389

2.  Estimation of heritability in myopic twin studies.

Authors:  Miao-Yu Tsai; Luke L-K Lin; Vicky Lee; Chien-Jen Chen; Yung-Feng Shih
Journal:  Jpn J Ophthalmol       Date:  2009-12-18       Impact factor: 2.447

3.  Axial length/corneal radius ratio: association with refractive state and role on myopia detection combined with visual acuity in Chinese schoolchildren.

Authors:  Xiangui He; Haidong Zou; Lina Lu; Rong Zhao; Huijuan Zhao; Qiangqiang Li; Jianfeng Zhu
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

4.  Growth curves of myopia-related parameters to clinically monitor the refractive development in Chinese schoolchildren.

Authors:  Pablo Sanz Diez; Li-Hua Yang; Mei-Xia Lu; Siegfried Wahl; Arne Ohlendorf
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-03-23       Impact factor: 3.117

5.  Risk Factors and Behaviours of Schoolchildren with Myopia in Taiwan.

Authors:  Han-Chih Cheng; Koyin Chang; Elizabeth Shen; Kai-Shin Luo; Yung-Hsiang Ying
Journal:  Int J Environ Res Public Health       Date:  2020-03-17       Impact factor: 3.390

  5 in total

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