Evidence map›Paper›PMID 36333404›Full record

ArticleScientific reports2022

Ocular biometrics and uncorrected visual acuity for detecting myopia in Chinese school students.

Ethan Zhao, Xinyi Wang, Huiyan Zhang, Eric Zhao, Jianyong Wang, Ying Yang, Fang Gu, Lei Gu, Jianyao Huang, Ronghua Zhang and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Axial Length to Corneal Curvature Ratio is Insufficient for Detecting Pseudomyopia in Children: A Multi-Cohort Study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  4. Development and Validation of Multinomial Logistic Regression and Machine Learning Algorithms for Identifying Refractive Status in Chinese School Aged Children.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Ethan ZhaoWeill Cornell Medicine, New York, NY, USA.
Xinyi WangNational School of Development, Peking University, Beijing, People's Republic of China.
Huiyan ZhangHangzhou Vocational and Technical College, Hangzhou, People's Republic of China.
Eric ZhaoSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
Jianyong WangDepartment of Ophthalmology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Ying YangCenter for Disease Control and Prevention of Jinyun County, Jinyun, Zhejiang, People's Republic of China.
Fang GuZhejiang Provincial Center for Disease Control and Prevention of Hangzhou, Hangzhou, People's Republic of China.
Lei GuDepartment of Ophthalmology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Jianyao HuangDepartment of Ophthalmology, Central Hospital of Jinyun County, Jinyun, Zhejiang, People's Republic of China.
Ronghua ZhangZhejiang Provincial Center for Disease Control and Prevention of Hangzhou, Hangzhou, People's Republic of China.
Gui-Shuang YingCenter for Preventive Ophthalmology and Biostatistics, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, 3711 Market Street, Suite 801, Philadelphia, PA, 19104, USA. gsying@pennmedicine.upenn.edu.
Hongguang CuiDepartment of Ophthalmology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China. 1189002@zju.edu.cn.
Zhejiang University · CNUniversity of Pennsylvania · USZhejiang Center for Disease Control and Prevention · CNCornell University · USHangzhou Vocational and Technical College · CNPeking University · CN

Funding

Zhejiang Province Key Research Grant 2021C03032
6 · The paper itself

Abstract

The study is to evaluate the performance of ocular biometric measures and uncorrected visual acuity (UCVA) for detecting myopia among Chinese students. Among 5- to 18-year-old Chinese students from two cities of China, trained eye-care professionals performed assessment of ocular biometrics (axial length (AL), corneal curvature radius (CR), anterior chamber depth) under noncycloplegic conditions using NIDEK Optical Biometer AL-Scan, distance visual acuity using retro-illuminated logMAR chart with tumbling-E optotypes, and cycloplegic refractive error using NIDEK autorefractor with administration of 0.5% tropicamide. Spherical equivalent (SER) in diopters (D) was calculated as sphere plus half cylinder, and myopia was defined as SER ≤ - 0.5 D. Performances of ocular biometrics and UCVA (individually and in combination) for detecting myopia were evaluated using sensitivity and specificity, predictive values, and area under ROC curve (AUC) in both development dataset and validation dataset. Among 3436 students (mean age 9.7 years, 51% female), the mean (SD) cycloplegic SER was - 0.20 (2.18) D, and 1269 (36.9%) had myopia. Cycloplegic SER was significantly correlated with AL (Pearson Correlation coefficient r = - 0.82), AL/CR ratio (r = - 0.90), and UCVA (r = 0.79), but was not correlated with CR (r = 0.02, p = 0.15). The AL/CR ratio detected myopia with AUC 0.963 (95% CI 0.957-0.969) and combination with UCVA improved the AUC to 0.976 (95% CI 0.971-0.981). Using age-specific AL/CR cutoff (> 3.00 for age < 10 years, > 3.06 for 10-14 years, > 3.08 for ≥ 15 years) as myopia positive, the sensitivity and specificity were 87.0% (95% CI 84.4-89.6%) and 87.8% (86.0-89.6%), respectively, in the development dataset and 86.4% (95% CI 83.7-89.1%) and 89.4% (95% CI 87.3-91.4%), respectively, in the validation dataset. Combining AL/CR and UCVA (worse than 20/32 for age < 10 years, and 20/25 for ≥ 10 years) provided 91.9% (95% CI 90.4-93.4%) sensitivity and 87.0% (95% CI 85.6-88.4%) specificity, positive value of 80.6% (95% CI 78.5-82.6%) and negative value of 94.8% (95% CI 93.8-95.8%). These results suggest that AL/CR ratio is highly correlated with cycloplegic refractive error and detects myopia with high sensitivity and specificity,  AL/CR ratio alone or in combination with UCVA can be used as a tool for myopia screening or for estimating myopia prevalence in large epidemiological studies with limited resources for cycloplegic refraction.

Indexed as

MyopiaRefractive ErrorsAdolescentBiometryChildChild, PreschoolChinaCorneaFemaleHumansMaleMydriaticsRefraction, OcularStudentsVisual AcuityMydriatics

Identifiers

PMID36333404
PMCPMC9636232
OpenAlexW4308198773

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.