Trial Information

Epidemiology of Ovarian Cancer in Taiwan

Study population: To evaluate the epidemiology and prognosis of ovarian cancer in Taiwan, we
will conduct a nationwide analysis through linking national cancer registry database. Every
citizen in Taiwan has a life-long identification number to link individual information,
including health status. The Taiwan household registry database provided by Department of
Health will be the source population. National household registry and death certificate will
be adopted to ascertain the live status of study subjects, and provided individual
demographic characteristics.All individual linkages between databases will be conducted
according to the study protocols, i.e. databases will be linked by corresponding
identification number, name (Chinese characters) and birthday, and all data included in this
study will be analyzed without individual identification information. The agreement of
utilizing the databases in the study was obtained from the Bureau of Health Promotion in
Taiwan.

Incident and death cases ascertainment: Patients with ovarian cancer, including epithelial
ovarian carcinoma, germ cell tumors, sex cord tumors … etc., will be identified from
computerized linkage to the Taiwan national cancer registry with International
Classification of Diseases for Oncology Third Edition T-code C569. Histological types will
be identified from morphology code in the cancer registry database. Women affected by
ovarian cancer and found death due to ovarian cancer (International Classification of
Diseases 9th edition code 183) in deaths certificate will be defined as death cases.

Statistical Analyses: The numbers of person-years at risk of developing and dying for
ovarian cancer will be calculated. Incidence rates will be calculated by dividing the number
of ovarian cancer cases by the person-years at risk of developing ovarian cancer. Mortality
rates will be calculated by dividing the number of ovarian cancer deaths by the person-years
at risk of dying from ovarian cancer. The association between mortality and age, histology,
time periods will be estimated through Kaplan-Meier survival analysis and Cox's proportional
hazards model. It is defined as significantly different statistically when p value is less
than 0.05.