Literature DB >> 21330664

Validating the accuracy of a model to predict the onset of myopia in children.

Mingzhi Zhang1, Gus Gazzard, Zhifu Fu, Liping Li, Bin Chen, Seang Mei Saw, Nathan Congdon.   

Abstract

PURPOSE: To assess the sensitivity and specificity of models predicting myopia onset among ethnically Chinese children.
METHODS: Visual acuity, height, weight, biometry (A-scan, keratometry), and refractive error were assessed at baseline and 3 years later using the same equipment and protocol in primary schools in Xiamen (China) and Singapore. A regression model predicting the onset of myopia < -0.75 diopters (D) after 3 years in either eye among Xiamen children was validated with Singapore data.
RESULTS: Baseline data were collected from 236 Xiamen children (mean age, 7.82 ± 0.63 years) and from 1979 predominantly Chinese children in Singapore (7.83 ± 0.84 years). Singapore children were significantly taller and heavier, and had more myopia (31.4% vs. 6.36% < -0.75 D in either eye, P < 0.001) and longer mean axial length. Three-year follow-up was available for 80.0% of Xiamen children and 83.1% in Singapore. For Xiamen, the area under the receiver-operator curve (AUC) in a model including ocular biometry, height, weight, and presenting visual acuity was 0.974 (95% confidence interval [CI], 0.945-0.997). In Singapore, the same model achieved sensitivity, specificity, and positive predictive value of 0.844, 0.650, and 0.669, with an AUC of 0.815 (95% CI, 0.791-0.839).
CONCLUSIONS: Accuracy in predicting myopia onset based on simple measurements may be sufficient to make targeted early intervention practical in settings such as Singapore with high myopia prevalence. Models based on cohorts with a greater prevalence of high myopia than that in Xiamen could be used to assess accuracy of models predicting more severe forms of myopia.

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Year:  2011        PMID: 21330664     DOI: 10.1167/iovs.10-5592

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  11 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.  Early life factors for myopia in the British Twins Early Development Study.

Authors:  Katie M Williams; Eva Kraphol; Ekaterina Yonova-Doing; Pirro G Hysi; Robert Plomin; Christopher J Hammond
Journal:  Br J Ophthalmol       Date:  2018-11-06       Impact factor: 4.638

Review 3.  Myopia prediction: a systematic review.

Authors:  Xiaotong Han; Chi Liu; Yanxian Chen; Mingguang He
Journal:  Eye (Lond)       Date:  2021-10-13       Impact factor: 4.456

4.  Refractive error change and its association with ocular and general parameters in junior high school students in Taiwan.

Authors:  Chia-Chin Liao; Li-Ju Chen; Jy-Haw Yu; Jen-Chieh Lin
Journal:  Jpn J Ophthalmol       Date:  2014-06-03       Impact factor: 2.447

5.  Identifying Children at Risk of High Myopia Using Population Centile Curves of Refraction.

Authors:  Yanxian Chen; Jian Zhang; Ian G Morgan; Mingguang He
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

6.  Simultaneous Changes in Astigmatism with Noncycloplegia Refraction and Ocular Biometry in Chinese Primary Schoolchildren.

Authors:  Yaoyao Lin; Dandan Jiang; Chunchun Li; Xiao Chang; Balamurali Vasudevan; Xiaoqiong Huang; Wenzhe Zhou; Lei Qin; Yanyan Chen
Journal:  J Ophthalmol       Date:  2019-06-23       Impact factor: 1.909

7.  Relationship between Myopia Progression and School Entrance Age: A 2.5-Year Longitudinal Study.

Authors:  Linjie Liu; Dandan Jiang; Chunchun Li; Yaoyao Lin; Wenzhe Zhou; Haishao Xiao; Yanyan Chen
Journal:  J Ophthalmol       Date:  2021-03-30       Impact factor: 1.909

8.  Prediction of myopia onset with refractive error measured using non-cycloplegic subjective refraction: the WEPrOM Study.

Authors:  Yee Ling Wong; Yimin Yuan; Binbin Su; Shezad Tufail; Yang Ding; Yingying Ye; Damien Paille; Björn Drobe; Hao Chen; Jinhua Bao
Journal:  BMJ Open Ophthalmol       Date:  2021-06-09

9.  Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort.

Authors:  Lei Liu; Rui Li; Dan Huang; Xiao Lin; Hui Zhu; Yue Wang; Xiaoyan Zhao; Xiaohan Zhang; Hu Liu
Journal:  BMC Ophthalmol       Date:  2021-07-21       Impact factor: 2.209

Review 10.  Global variations and time trends in the prevalence of childhood myopia, a systematic review and quantitative meta-analysis: implications for aetiology and early prevention.

Authors:  Alicja R Rudnicka; Venediktos V Kapetanakis; Andrea K Wathern; Nicola S Logan; Bernard Gilmartin; Peter H Whincup; Derek G Cook; Christopher G Owen
Journal:  Br J Ophthalmol       Date:  2016-01-22       Impact factor: 4.638

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