Evidence map›Paper›PMID 39806724›Full record

ArticleBMJ open2024

Ocular biometric parameters in Chinese preschool children and physiological axial length growth prediction using machine learning algorithms: a retrospective cross-sectional study.

Duanke Liu, Heng Zhao, Tao Tang, Xuewei Li, Xiaoqing Shi, Jiahui Ma, Jingwei Zhou, Chenxu Zhao, Yan Li, Kai Wang and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. The application of artificial intelligence in myopia prediction for children and adolescents: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  2. Mediating Role of Insulin Resistance in the Association Between Body Composition and Hypertension.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Duanke Liu *Department of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-3153-0923
Heng Zhao *Department of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Tao TangDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.ORCID 0000-0003-2876-9543
Xuewei LiDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Xiaoqing ShiDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Jiahui MaDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Jingwei ZhouDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Chenxu ZhaoDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Yan LiDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China wang_kai@bjmu.edu.cn 13801153660@163.com.
Kai WangDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China wang_kai@bjmu.edu.cn 13801153660@163.com.ORCID 0000-0002-4171-825X
Mingwei ZhaoDepartment of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the ocular biometric parameters and predict the annual growth rate of the physiological axial length (AL) in Chinese preschool children aged 4-6 years old.

methodsThis retrospective cross-sectional study included 1090 kindergarten students (1090 right eyes) between the ages of 4 and 6 years from Pinggu and Chaoyang District, Beijing. Dioptre values were ascertained following cycloplegic autorefraction. Predicted AL was obtained through the application of the Gaussian process regression model as an optimisation technique. Subsequently, the annual growth rate of physiological AL for non-myopic preschool children (n=1061) was computed via the backward difference method.

resultsIn total, 85.4% of preschool children (931 individuals) had hyperopic refractive status in the 4-6 years age group, while only 2.7% (29 individuals) showed myopia. Boys had longer AL, larger AL-to-corneal radius ratio, deeper anterior chamber depth and lower lens power. The average physiological axial growth for boys and girls ranged from 0.050 mm/year to 0.165 mm/year and 0.063 mm/year to 0.168 mm/year, respectively. As age increased, the physiological AL growth in non-myopic cases decreased. Additionally, as hyperopic spherical equivalent refraction error lessened, the physiological AL growth component slowed down.

conclusionsIn preschool children, refractive development predominantly exhibits mild hyperopia. The concept of physiological AL provides valuable insights into the complexities of ocular development.

Indexed as

Axial Length, EyeBiometryHyperopiaMachine LearningMyopiaAlgorithmsChildChild, PreschoolChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleRefraction, OcularRetrospective StudiesCross-Sectional StudiesMachine LearningPaediatric ophthalmology

Identifiers

PMID39806724
PMCPMC11667479

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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.