Faricimab Cost-Effectiveness Model Inputs for Diabetic Macular Edema in China
by Fenghao Shi·Updated 3mo ago
11.0 MB1files
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Description
11528129 bytes of supplementary materials support a cost-effectiveness analysis of faricimab for diabetic macular edema in China. The dataset contains nine tables and one figure providing inputs for a Markov model, including baseline study characteristics, network meta-analysis results, drug costs, adverse event rates, and utility values. It compares faricimab, administered via a personalized treatment interval, against aflibercept and other treatments from the perspective of the Chinese health system.
Use Cases
Parameterizing a Markov model for diabetic macular edema treatment cost-effectiveness based on network meta-analysis results.
Comparing drug administration costs and frequencies for faricimab, aflibercept, and other therapies.
Analyzing the incidence and cost of complications and adverse events in DME treatment.
Conducting scenario analyses for health economic models using predefined sensitivity analysis settings.
Modeling visual acuity (VA) distribution outcomes over a 1-2 year horizon for first and second eyes.
Strengths
Data is peer-reviewed and published as supplementary material in the Journal of Comparative Effectiveness Research.
Contains a specific set of nine structured tables covering all major inputs for a health economic model.
Model population is based on a defined clinical trial subgroup (Chinese subgroup from RHINE trial) with a mean starting age of 58.7 years.
Limitations
Exact row counts and column names are not provided, limiting precise assessment of dataset scale and structure.
License (CC-BY-NC-ND-4.0) prohibits commercial use and derivatives, restricting adaptation for some research.
Primary data format is DOCX, which may require extraction for computational analysis compared to structured formats like CSV.
Provenance
Source
Supplementary materials for the article 'Cost-effectiveness analysis of the use of faricimab in diabetic macular edema in China'.
Collection Method
Derived from a network meta-analysis and cost-effectiveness modeling study.
Time Range
Model simulates long-term outcomes; specific time range of underlying clinical data is not stated.
Freshness
Last updated 2026-03-19.
Geography
China (Chinese health system perspective, Chinese subgroup from RHINE trial).
License CC-BY-NC-ND-4.0 restricts commercial use and creation of derivative works.