Evidence map›Paper›PMID 41704569›Full record

ArticleAdvances in ophthalmology practice and research

The influence of ocular parameters on intraocular pressure values measured by different devices and the development of an optimized prediction model in a myopic population.

Wei Gan, Yu Zhang, Shizhao Yang, Peiyun He, Qingqing Hu, Zhiyu Du

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Article in Advances in ophthalmology practice and research. 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.

Wei GanMedal Eye Institute, Chongqing, China.
Yu ZhangMedal Eye Institute, Chongqing, China.
Shizhao YangDepartment of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peiyun HeDepartment of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingqing HuDepartment of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhiyu DuDepartment of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the associations between ocular parameters-mean keratometry (Km), spherical equivalent (SE), central corneal thickness (CCT), axial length (AL), corneal hysteresis (CH), and corneal resistance factor (CRF)-and intraocular pressure (IOP) measurements obtained by non-contact tonometry (IOP Methods: This study included 64 patients (128 eyes). All participants underwent comprehensive ocular examinations (CCT, AL, SE, Km, CH, and CRF) and IOP measurements using multiple tonometers. Pearson correlation and multiple linear regression analyses were employed to identify key influencers on IOP readings. An optimized prediction model was subsequently developed using NCT, CCT, CH, and CRF as independent variables, and its goodness-of-fit was evaluated. Results: Age, AL, Km, IOP Conclusions: DCT measurements were less influenced by CCT, CH, and CRF, supporting their potential reliability for IOP assessment in patients with myopia. The optimized prediction model based on multiple regression analysis was able to predict DCT values to some extent, thereby reducing the influence of corneal biomechanical properties on IOP measurement. However, the model requires further validation and refinement in studies with larger sample sizes.

Indexed as

Dynamic contour tonometryIntraocular pressureMyopiaNon-contact tonometryOcular response analyzerSchiøtz tonometry

Identifiers

PMID41704569
PMCPMC12907073

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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.