ArticleScientific reports2024
Assessment of factors affecting anterior chamber depth from data obtained from health checkup participants in Japan.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Longitudinal change in anterior chamber depth and its determinants: a median 4.9-year follow-up of 2,247 Japanese adults.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Agreement between Pentacam HR and Visionix VX650 system for corneal and anterior chamber parameters.BMC ophthalmology · 2026Article
- Deep-stromal implantation of a double-crosslinked bioengineered porcine collagen implant (BPCDX) in advanced keratoconus: a 12-month study of corneal remodeling and visual outcomes.Scientific reports · 2026Article
- Association of ocular biometrics with clinical severity in acute angle-closure glaucoma with cataract: a retrospective study.American journal of translational research · 2026Article
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Authors and funding
12 authors.
Funding
Abstract
Measurement of anterior chamber depth (ACD), an important marker for the screening of primary angle-closure glaucoma, requires biometry, which is not readily used. This study assessed the relationship between ACD and health check-up data findings from participants with good corrected visual acuity in Japan. Participants underwent ophthalmic, anthropometric, and hematological assessments. The mean ACD of all 3060 participants was 3.33 ± 0.34 mm [2.22-4.72 mm]. Multivariable linear regression analysis was performed to determine factors that were significantly correlated with ACD, and logistic regression analysis was performed to predict ACD < 2.70 mm. Multivariable linear regression analysis showed that age, sex, intraocular pressure, spherical equivalent refractive error (SER), height, and fasting blood sugar levels significantly correlated with ACD (P < 0.05). Logistic regression analysis showed that age, sex, and SER were the best predictors of ACD < 2.70 mm. The area under receiving operator characteristic curves of 'age and SER' and 'age, SER, and sex' were 0.821 and 0.835, respectively, with no significant difference (P = 0.122). In conclusion, ACD correlates with several parameters, and age and SER may be particularly important for predicting ACD in participants undergoing health checkups.
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