Evidence map›Paper›PMID 38271422›Full record

ArticleIndian journal of ophthalmology2024

Development of a risk score for myopia: A cohort study conducted among school-aged children in China.

Ziwei Shi, Lihua Yang, Ting Xu, Jing Jia, Song Yang, Bo Yang, Wei Yang, Changchun Yang, Yan Peng, Hong Gu and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Ziwei ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Lihua YangWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Ting XuWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Jing JiaWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Song YangWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Bo YangWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Wei YangWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Changchun YangWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Yan PengWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Hong GuWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Caiping LiuWuhan Center for Adolescent Poor Vision Prevention and Control, Wuhan, Hubei, PR China.
Sheng WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Huazhong University of Science and Technology · CNWuhan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the myopia risk in school-aged children one year after lifting a pandemic-related lockdown and develop a tool to identify high-risk groups.

methodsIn total, 38,079 children without myopia from 38 schools were included. The outcomes were myopia incidence and progression in 1 year after the COVID-19 lockdown was lifted, both obtained by the spherical equivalent refraction (SER). We separated the population into an exploratory (75%) and a validation sample (25%) to construct the risk score model.

resultsIn total, 9811 (29.57%) students became myopic, and the overall myopia progression was 0.22 ± 0.62 D. Even less myopia progression was noted in the pre-myopia group at baseline (All: P = 0.045, Boy: P = 0.005). The risk score model included seven predictors: gender, grade, SER at baseline, residence, parental myopia, eye discomfort symptoms, and online courses. The model had a score range of 0-46 and an optimal cutoff of 34. The area under the receiver operating curve of the model was 0.726 (0.719-0.732) for the exploratory sample and 0.731 (0.720-0.742) for the validation sample.

conclusionsThe risk score can serve as a practical tool for classifying the risk of myopia in school-aged children.

Indexed as

MyopiaChildChinaCohort StudiesHumansMaleRefraction, OcularRisk Factors

Identifiers

PMID38271422
PMCPMC11624631
OpenAlexW4391215067

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.