Predictive Models for Intraocular Pressure Reduction After Cataract Surgery

A prospective study of 130 eyes from 103 patients undergoing phacoemulsification. The dataset contains clinical, ocular biometry, and anterior-segment optical coherence tomography (AS-OCT) parameters used to develop 2D and 3D models predicting one-month intraocular pressure (IOP) reduction. The dataset was authored by Sunee Chansangpetch and last updated on 2026-03-25.

Use Cases

• Compare predictive performance of 2D versus 3D AS-OCT parameters for IOP reduction based on the model R-squared values described.
• Analyze the relationship between preoperative IOP and postoperative IOP change based on the description identifying preIOP as the strongest single predictor.
• Validate model selection techniques like LASSO regression on clinical ophthalmology data based on the methodological description.
• Investigate differences in model predictability between glaucoma and non-glaucoma cohorts based on the reported R-squared results.

Strengths

• Dataset includes results from 130 eyes, providing a specific sample size for analysis.
• Model performance is quantified with specific R-squared and optimism-corrected R-squared values for different cohorts.
• Data is licensed under CC-BY-4.0, permitting open sharing and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Prospective clinical study analyzing preoperative predictors from patients undergoing phacoemulsification.

Time Range

The study period is not specified in the provided metadata.

Freshness

Last updated 2026-03-25 17:38:16; freshness should be verified.

Geography

Geographic coverage is not specified in the provided metadata.