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Cost-Effectiveness Analysis of Real-Time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in People With Type 2 Diabetes Treated With Non-Intensive Insulin Therapy in South Korea

Kim, J. Y., Ilham, S., Alshannaq, H. A., Pollock, R. F., Field, M., Norman, G. J., Jin, S., & Kim, J. H. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251382570 · Cited by 1 · see citing works

Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines

Dumancas, G. G., de Castro, R., Saludes, J. P., Peñaranda, B. S., Bello, G., Villa, F. R. P., Villareal, B. N. L., Padernal, W. F., Posecion, T. M. A., Guanzon, M. L. V. V., et al. (2020) · Current Epidemiology Reports · doi:10.1007/s40471-020-00232-7 · Cited by 1 · see citing works

Optimal Incentive Design of Wellness Programs That Encourage Behavior Change to Health Improvement in Health Insurance Subscriber

Unno, M., & Xu, H. (2016) · Journal of Real Options and Strategy · doi:10.12949/realopn.9.1

Medical care for dyslipidemia in women based on the “Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017”

Kishimoto, N., Moriyama, K., Yamada, C., Oda, K., Urata, N., Sakuma, I., & Nishizaki, Y. (2018) · Health Evaluation and Promotion · doi:10.7143/jhep.45.579

Towards Generating Anomaly Prediction based on Health Checkup Results

Takahashi, M., Shibata, M., & 菅原, 規. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.09.216

Complications in GNE myopathy patients: A nationwide repository questionnaire survey in JapanPreprint

Yoshioka, W., Shimizu, R., Takahashi, Y., Oda, Y., Yoshida, S., Ishihara, N., Nishino, I., Nakamura, H., & Mori‐Yoshimura, M. (2021) · Research Square · doi:10.21203/rs.3.rs-139896/v1

Blood pressure indices for predicting incident cardiovascular disease: A 13-year follow-up study in Japanese population

Ichikawa, T., Okada, H., Nakajima, H., Ushigome, E., Hamaguchi, M., Kurogi, K., Murata, H., Tsuda, E., Yoshida, N., Ito, M., et al. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101341

Prediction models for incident stroke in the community: a systematic review and meta-analysis of predictive performance

Haris, M., Romer, E., Younsi, T., Wu, J., Larvin, H., Wilkinson, C., Cameron, A., Romiti, G. F., Lip, G. Y. H., Nadarajah, R., et al. (2025) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztaf147

Cost‐effectiveness analysis comparing real‐time continuous glucose monitoring with self‐monitoring of blood glucose for patients with type 2 diabetes treated with insulin in Japan

Watada, H., Tanaka, S., Matuoka, J. Y., Alshannaq, H. A., Pollock, R. F., Field, M., & Norman, G. J. (2026) · Journal of Diabetes Investigation · doi:10.1111/jdi.70279

Estimation of 10-Year Risk of Death from Coronary Heart Disease, Stroke, and Cardiovascular Disease in a Pooled Analysis of Japanese Cohorts: EPOCH-JAPAN

Li, Y., Yatsuya, H., Tanaka, S., Iso, H., Okayama, A., Tsuji, I., Sakata, K., Miyamoto, Y., Ueshima, H., Miura, K., et al. (2020) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.58958 · Cited by 20 · see citing works

Prediction of the 4-Year Incidence Risk of Ischemic Stroke in Healthy Japanese Adults: The Fukushima Health Database

Ma, E., Ohira, T., Miyazaki, M., Fukasawa, M., Yoshimoto, M., Suzuki, T., Furuyama, A., Kataoka, M., Yasumura, S., & Hosoya, M. (2023) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.64018 · Cited by 1 · see citing works

Development of new scores for atherosclerotic cardiovascular disease using specific medical examination items: the Suita Study

Arafa, A., Kashima, R., Yasui, Y., Kawachi, H., Matsumoto, C., Nosaka, S., Teramoto, M., Matsuo, M., & Kokubo, Y. (2023) · Environmental Health and Preventive Medicine · doi:10.1265/ehpm.23-00099 · Cited by 7 · see citing works

Developing a Stroke Risk Prediction Model Using Cardiovascular Risk Factors: The Suita Study

Arafa, A., Kokubo, Y., Sheerah, H. A., Sakai, Y., Watanabe, E., Li, J., Honda-Kohmo, K., Teramoto, M., Kashima, R., Nakao, Y. M., et al. (2021) · Cerebrovascular Diseases · doi:10.1159/000520100 · Cited by 31 · see citing works

Predicting the 20-year risk of first coronary or ischemic stroke event in Northern Italy: the CAMUNI absolute risk equation

Veronesi, G., Chambless, L. E., Gianfagna, F., Mancia, G., Cesana, G. C., & Ferrario, M. (2013) · IrInSubria (University of Insubria)