Related Experiment Video
Updated: Jan 23, 2026

Subjective Refraction Test Using a Smartphone for Vision Screening
Published on: October 18, 2024
Relationship between postoperative refractive outcomes and cataract density: multiple regression analysis
Tetsuo Ueda1, Hitoe Ikeda, Takeo Ota
1Department of Ophthalmology, Nara Medical University, Nara, Japan. tueda@naramed-u.ac.jp
Purpose:
To evaluate the relationship between cataract density and the deviation from the predicted refraction.
Setting:
Department of Ophthalmology, Nara Medical University, Kashihara, Japan.
Methods:
Axial length (AL) was measured in eyes with mainly nuclear cataract using partial coherence interferometry (IOLMaster). The postoperative AL was measured in pseudophakic mode. The AL difference was calculated by subtracting the postoperative AL from the preoperative AL. Cataract density was measured with the pupil dilated using anterior segment Scheimpflug imaging (EAS-1000). The predicted postoperative refraction was calculated using the SRK/T formula. The subjective refraction 3 months postoperatively was also measured. The mean absolute prediction error (MAE) (mean of absolute difference between predicted postoperative refraction and spherical equivalent of postoperative subjective refraction) was calculated. The relationship between the MAE and cataract density, age, preoperative visual acuity, anterior chamber depth, corneal radius of curvature, and AL difference was evaluated using multiple regression analysis.
Results:
In the 96 eyes evaluated, the MAE was correlated with cataract density (r = 0.37, P = .001) and the AL difference (r = 0.34, P = .003) but not with the other parameters. The AL difference was correlated with cataract density (r = 0.53, P<.0001).
Conclusion:
The postoperative refractive outcome was affected by cataract density. This should be taken into consideration in eyes with a higher density cataract.
More Related Videos
05:19Author Spotlight: Unraveling the Molecular Mechanisms in PCO and Fibrosis Following Cataract Surgery
Published on: December 1, 2023
04:59Author Spotlight: Enhancing Visual Outcomes in Cataract Surgery: A Novel Technique to Prevent Posterior Capsular Opacification Through IOL Rotation
Published on: July 7, 2023
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Regression Toward the Mean
Microsoft Excel: Regression Analysis
To perform regression...
Relationship Formation
Correlation and Regression