Related Experiment Video
Updated: May 12, 2026

Modeling Cataract Surgery in Mice
Published on: December 1, 2023
Cost-utility analysis of cataract surgery in Japan: a probabilistic Markov modeling study
Objective:
To evaluate with the best available clinical data in Japan the cost-effectiveness of cataract surgery through the estimation of the incremental costs per quality-adjusted life years (QALYs) gained.
Methods:
A Markov model with a probabilistic cohort analysis was constructed to calculate the incremental costs per QALY gained by cataract surgery in Japan. A 1-year cycle length and a 20-year horizon were applied. Best available evidence in Japan supplied the model with data on the course of cataract surgery. Uncertainty was explored using univariate and probabilistic sensitivity analysis.
Results:
In base case analysis, cataract surgery was associated with incremental costs of Japanese yen (¥) 551,513 (US$ 6,920) and incremental effectiveness of 3.38 QALYs per one cataract patient. The incremental cost effectiveness ratio (ICER) was ¥ 163,331 (US$ 2,049) per QALY. In Monte Carlo simulation, the average patient with cataract surgery accrued 4.65 [95 % confidence interval (CI): 2.75-5.69] more QALYs than patients without surgery, giving an ICER of ¥ 118,460 (95 % CI: 73,516-207,926) (US$ 1,486) per QALY.
Conclusions:
Cataract surgery in Japan is highly cost-effective even when allowing for the uncertainty of the known variability that exists in estimates of the costs, utilities, and postoperative complication rate.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Cancer Survival Analysis
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
