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Original Article
- Hypothalamus and Pituitary Gland
Big Data Articles (National Health Insurance Service Database) - Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
- Jin Sun Park, Soo Jin Yun, Jung Kuk Lee, So Young Park, Sang Ouk Chin
- Endocrinol Metab. 2021;36(3):688-696. Published online June 28, 2021
- DOI: https://doi.org/10.3803/EnM.2021.1000
- 4,738 View
- 135 Download
- 3 Web of Science
- 3 Crossref
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Abstract
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ePub - Background
Only a few studies have established the epidemiology of prolactinoma and Cushing’s disease in Korea. Furthermore, the incidence of these disease are increasing than before associated with the development of technologies. This study was designed to evaluate the epidemiology of prolactinoma and Cushing’s disease and their survival analysis according to treatment.
Methods
The nationwide, population-based study evaluated incidence and prevalence of prolactinoma and Cushing’s disease using de-identified claims data in The Korean Health Insurance Review and Assessment Service database between 2013 and 2017. The survival analysis investigated regarding treatment over a period of 6 years. A log-rank test and Cox proportional hazard regression analysis were used.
Results
The 6,056 patients with newly diagnosed prolactinoma and 584 patients with Cushing’s disease were recorded between 2013 and 2017. The annual incidence of prolactinoma was 23.5 cases per million, and its prevalence was 82.5 cases per million, and 2.3 cases per million/year and 9.8 cases per million for Cushing’s disease. The survival benefit was insignificant in prolactinoma according to treatment, but treatment of Cushing’s disease ameliorated the survival rate significantly.
Conclusion
Overall, the incidence of prolactinoma and Cushing’s disease was similar with those found previously, but the prevalence of two diseases were inconsistent when compared with the early studies. The present study also proposed necessity of treatment in Cushing’s disease for improving the survival rate. -
Citations
Citations to this article as recorded by
- Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef - Cushing Syndrome
Martin Reincke, Maria Fleseriu
JAMA.2023; 330(2): 170. CrossRef - Clinical Biology of the Pituitary Adenoma
Shlomo Melmed, Ursula B Kaiser, M Beatriz Lopes, Jerome Bertherat, Luis V Syro, Gerald Raverot, Martin Reincke, Gudmundur Johannsson, Albert Beckers, Maria Fleseriu, Andrea Giustina, John A H Wass, Ken K Y Ho
Endocrine Reviews.2022; 43(6): 1003. CrossRef
- Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
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