Evidence map›Paper›PMID 40517174›Full record

ArticleEye (London, England)2025

Prediction of vulnerability to mental health symptoms in children with congenital ectopia lentis: development and validation of a prediction model.

Xiaolin Liang, Xinyu Zhang, Siyuan Liu, Ling Jin, Charlotte Aimee Young, Yiyuan Ma, Ming Zhou, Danying Zheng, Guangming Jin

Abstract readValidation Study
In one paragraph

Article in Eye (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaolin Liang *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.ORCID http://orcid.org/0000-0002-7649-1198
Xinyu Zhang *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Siyuan LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Ling JinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Charlotte Aimee YoungAlbany Medical College, 49 New Scotland Ave Albany, New York, NY, USA.
Yiyuan MaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Ming ZhouState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Danying ZhengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. zhengdyy@163.com.
Guangming JinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. guangming27050103@126.com.ORCID http://orcid.org/0000-0001-9994-6338

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81873673National Natural Science Foundation of China (National Science Foundation of China) 81900841
6 · The paper itself

Abstract

objectiveTo evaluate mental health among children with congenital ectopia lentis (CEL) and to develop an effective nomogram for predicting risk of mental health symptoms in CEL.

methodsIn total, 48 children with CEL and 50 control subjects aged 7-18 years old were enrolled in this study. Participants were required to complete the Children's Depression Inventory (CDI) and the Screen for Child Anxiety Related Emotional Disorders (SCARED) questionnaire to screen depressive and anxiety symptoms. Three potential predictors were tested and chosen to build a prediction model using logistic regression.

resultsCompared with normal controls, CDI and SCARED scores were higher among children with CEL (P < 0.05). 35.4% of CEL children had varying degrees of depressive or anxiety symptoms. Child's age (odds ratio [OR] = 1.815, 95% confidence interval [CI], 1.084-3.039), duration of disease (OR = 1.557, 95% CI, 1.009-2.403), and systemic abnormalities (OR = 19.894, 95% CI, 1.660-238.463) were identified as predictors of anxiety symptoms. The combination of the above predictors shows good predictive ability, as indicated by area under the curve of 0.924 (95% CI, 0.845-1.000). The calibration curves showed good agreement between the prediction of the nomogram and the actual observations. Additionally, decision curve analysis showed that the nomogram was clinically useful and had better discriminatory power in identifying patients with significant anxiety symptoms.

conclusionsChildren with CEL experience higher level of depressive and anxiety symptoms. Child's age, duration of disease and systemic abnormalities are associated factors and can serve as useful indexes in predicting mental illness among CEL children.

Indexed as

AnxietyDepressionEctopia LentisMental HealthAdolescentCase-Control StudiesChildFemaleHumansMaleNomogramsPsychiatric Status Rating ScalesRisk FactorsROC CurveSurveys and Questionnaires

Identifiers

PMID40517174
PMCPMC12325750

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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.