Evidence map›Paper›PMID 40159524›Full record

ArticleInternational ophthalmology2025

Determining the cause of optic nerve atrophy in syndromic craniosynostosis using logistic regression.

Salem Ban Obaidellah, Nur Anisah Mohamed, Norli Anida Abdullah, Norlisah Mohd Ramli, Tan Li Kuo, Firdaus Hariri

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Article in International ophthalmology, 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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5 · Who and what money

Authors and funding

6 authors.

Salem Ban ObaidellahInstitute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. sa.obaidellah@gmail.com.
Nur Anisah MohamedInstitute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Norli Anida AbdullahMathematics Division, Centre for Foundation Studies in Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Norlisah Mohd RamliDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Tan Li KuoDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Firdaus HaririDepartment of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.

Funding

Technology Development Fund 1 (TED1) from the Ministry of Science, Technology and Innovation Malaysia TDF08211448
6 · The paper itself

Abstract

The restricted intracranial volume in syndromic craniosynostosis is due to limited skull expansion caused by early fusion of multiple cranial sutures. This led to progressive increased in intracranial pressure which has long been established as the cause of optic nerve damage. Optic nerve damage secondary to the narrowing of optic canal in syndromic craniosynostosis has been reported but not comprehensively explored. The objective of this study is to predict using logistic regression the cause of optic nerve atrophy is caused by increased intracranial pressure or structural narrowing of optic canal. The study involved 11 measurements of features of the optic canals as predictor variables. A binary logistic regression and variable selection method were applied to the 11 measurements to choose the best combination of the predictors. The results show good models that could be considered a suitable representation of the data. The height at the optical cranial side is the most dominant feature in the top 20 models that specifies the syndromic patients, followed by the area and the perimeter for both optic canals, then the length of the medial wall and the diameter at the mid canal for right and left canal respectively. The paper's findings provide significant evidence for using this method as an alternative to determine if the cause of optic nerve atrophy is related to either increased intracranial pressure or narrowing optic canal structure among syndromic craniosynostosis patients, thus saving the patient from ineffective operations, additional risks, and waste of resources.

Indexed as

CraniosynostosesOptic AtrophyOptic NerveAtrophyChildChild, PreschoolFemaleHumansInfantIntracranial PressureLogistic ModelsMaleRetrospective StudiesSyndromeLogistic regressionOptic canalOptic nerve atrophySyndromic craniosynostosis

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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.