Data from: Cost effectiveness analysis of hormone therapy for breast cancer in Japan
Data files
Feb 25, 2026 version files 22.44 KB
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CEA_input_data.xlsx
9.99 KB
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PSA_input_data.xlsx
10.43 KB
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README.md
2.03 KB
Abstract
Breast cancer is one of the deadliest diseases in the world. It accounts for 22.2 % of all cancers and is the most common site of cancer in women in Japan. Although hormone therapy with aromatase inhibitors or tamoxifen has been widely used, it is unclear which agent is more cost-effective. This study examined the cost-effectiveness of anastrozole as an aromatase inhibitor from a healthcare payer's perspective compared to tamoxifen in Japan. A Markov model, for comparison, of anastrozole with tamoxifen as a reference agent, was developed using data from a randomized clinical trial conducted in Japan. The costs were derived from the Japanese Health Care Fee Index for 2022. Based on the results of a questionnaire on the general health-related quality of life associated with cancer (FACT-G), utilities were converted to EuroQol-5 Dimension-5 Level. The time horizon was set to 10 years. In addition, deterministic and probabilistic sensitivity analyses were conducted. Anastrozole was dominated by tamoxifen. One-way sensitivity analysis showed the expected value (EV) of incremental net monetary benefit for anastrozole was the most sensitive to the pharmaceutical "drug price of anastrozole in FY2022," where the generic drug price was applied. The EV remained negative across the other parameters. Probabilistic sensitivity analysis revealed that anastrozole dominance over tamoxifen was 47.2 %. Anastrozole was less cost-effective than tamoxifen in Japan. Our findings support clinical practice and suggest payers and policymakers promote cost-effective therapies.
https://doi.org/10.5061/dryad.zs7h44jkg
Description of the data and file structure
Author(s)
Naoto Nakagawa, Phar.D., Ph.D.
School of Pharmaceutical Sciences, Ohu University, Koriyama, Fukushima, Japan
31-1 Misumido, Tomita-machi, Koriyama, Fukushima 963-8611, Japan
Email: n-nakagawa@pha.ohu-u.ac.jp
Yuta Chiba
School of Pharmaceutical Sciences, Ohu University, Koriyama, Fukushima, Japan
31-1 Misumido, Tomita-machi, Koriyama, Fukushima 963-8611, Japan
Email: 723404@ohu-u.jp
Leanne Lai
College of Pharmacy, Kaohsiung Medical University, Kaohsiung City, Taiwan
Email: LL33317@gmail.com
File list
CEA_input_data.xlsx
PSA_input_data.xlsx
File descriptions
Details for: CEA_input_data.xlsx
The file is a table to analyze for input with TreeAge Pro.
Format(s): .csv
Dimensions: 15 rows x 5 columns
Variables:
- Name: c_XXX means cost variables (unit is 'yen'), p_XXX means probability variables, and u_XXX means utility variables (unit is 'QALY').
- Description: definition of each variable.
- Root Definition: individual variables for a base-case scenario.
- Low and High columns: the low and the high numbers for one-way sensitivity analysis.
ANA: anastrozole, TAM: tamoxifen, FY: fiscal year.
Details for: PSA_input_data.xlsx
This file is a table to analyze the input for probabilistic sensitivity analysis with TreeAge Pro.
Format(s): .csv
Dimensions: 13 rows x 5 columns
Variables:
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Type_Distribution: data distribution. Beta shows that a value is from 0 to 1.
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Name: d_XXX means distribution variables.
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Description: Description of each distribution variables.
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Param 1: alpha for beta distribution parameter
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Param 2: beta for beta distribution parameter and lambda for gamma distribution parameter
ANA: anastrozole, TAM: tamoxifen, FY: fiscal year.
