1. Ministry of Health and Welfare, Korea Central Cancer Registry, National Cancer Center. Annual report of cancer statistics in Korea in 2017. Sejong: Ministry of Health and Welfare;2018.
2. Wu JW, Azoulay L, Huang A, Paterson M, Wu F, Secrest MH, et al. Identification of incident pancreatic cancer in Ontario administrative health data: a validation study. Pharmacoepidemiol Drug Saf. 2020; 29(Suppl 1):78–85.
Article
3. Ajrouche A, Estellat C, De Rycke Y, Tubach F. Evaluation of algorithms to identify incident cancer cases by using French health administrative databases. Pharmacoepidemiol Drug Saf. 2017; 26:935–44.
Article
4. Ranopa M, Douglas I, van Staa T, Smeeth L, Klungel O, Reynolds R, et al. The identification of incident cancers in UK primary care databases: a systematic review. Pharmacoepidemiol Drug Saf. 2015; 24:11–8.
Article
5. Dregan A, Moller H, Murray-Thomas T, Gulliford MC. Validity of cancer diagnosis in a primary care database compared with linked cancer registrations in England. Population-based cohort study. Cancer Epidemiol. 2012; 36:425–9.
Article
6. Lund H, Vyberg M, Eriksen HH, Grove A, Jensen AO, Sunde L. Hydatidiform mole: validity of the registration in the Danish National Patient Registry, the Danish Cancer Registry, and the Danish Pathology Registry 1999–2009. Clin Epidemiol. 2018; 10:1223–31.
7. Sarfati D, Gurney J, Stanley J, Salmond C, Crampton P, Dennett E, et al. Cancer-specific administrative data-based comorbidity indices provided valid alternative to Charlson and National Cancer Institute Indices. J Clin Epidemiol. 2014; 67:586–95.
Article
8. Kao WH, Hong JH, See LC, Yu HP, Hsu JT, Chou IJ, et al. Validity of cancer diagnosis in the National Health Insurance database compared with the linked National Cancer Registry in Taiwan. Pharmacoepidemiol Drug Saf. 2018; 27:1060–6.
Article
9. Stolzenbach LF, Deuker M, Colla-Ruvolo C, Nocera L, Mansour M, Tian Z, et al. External beam radiation therapy improves survival in low-volume metastatic prostate cancer patients: a North American population-based study. Prostate Cancer Prostatic Dis. 2021; 24:253–60.
Article
10. Wenzel HH, Smolders RG, Beltman JJ, Lambrechts S, Trum HW, Yigit R, et al. Survival of patients with early-stage cervical cancer after abdominal or laparoscopic radical hysterectomy: a nationwide cohort study and literature review. Eur J Cancer. 2020; 133:14–21.
Article
11. Kim YA, Lee YR, Park J, Oh IH, Kim H, Yoon SJ, et al. Socioeconomic Burden of Cancer in Korea from 2011 to 2015. Cancer Res Treat. 2020; 52:896–906.
Article
12. Kim DW, Lee SM, Lim HS, Choi JK, Park HY, Yuk TM, et al. A study on the manipulative definition of disease based on National Healthcare Insurance claims. Goyang: National Healthcare Insurance Service Ilsan Hospital;2017.
13. Chung IY, Lee J, Park S, Lee JW, Youn HJ, Hong JH, et al. Nationwide analysis of treatment patterns for Korean breast cancer survivors using National Health Insurance Service data. J Korean Med Sci. 2018; 33:e276.
Article
14. Choi H, Yang SY, Cho HS, Kim W, Park EC, Han KT. Mortality differences by surgical volume among patients with stomach cancer: a threshold for a favorable volume-outcome relationship. World J Surg Oncol. 2017; 15:134.
Article
15. Tsai CH, Kung PT, Kuo WY, Tsai WC. Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan. BMJ Open. 2020; 10:e034351.
Article
16. Chen CP, Kung PT, Wang YH, Tsai WC. Effect of time interval from diagnosis to treatment for cervical cancer on survival: a nationwide cohort study. PLoS One. 2019; 14:e0221946.
Article
17. Kim M, Chae KH, Chung YJ, Hwang H, Lee M, Kim HK, et al. The effect of the look-back period for estimating incidence using administrative data. BMC Health Serv Res. 2020; 20:166.
Article
18. Couris CM, Polazzi S, Olive F, Remontet L, Bossard N, Gomez F, et al. Breast cancer incidence using administrative data: correction with sensitivity and specificity. J Clin Epidemiol. 2009; 62:660–6.
Article