Background: The association between antidepressant use and ovarian cancer remains unclear. This study aimed to assess the ovarian cancer risk with antidepressant use in the general population.
Methods: Taiwan’s National Health Insurance Research Database was used to identify 957 patients with ovarian cancer and 9570 controls. We used a conditional logistic regression model for data analysis, excluding a 1-year latent period before the diagnosis of ovarian cancer to account for the quantification of treatment duration.
Purpose: Depressive symptoms and antidepressant use are prevalent among cancer patients. We sought to identify determinants of prescribing commonly used antidepressants.
Patients and methods: This multi-institutional study enrolled 3106 ambulatory patients with cancer of the breast, prostate, colon/rectum, or lung. Five case-finding methods were used to identify patients
with depressive symptoms. Logistic models were used to examine factors that impact antidepressant use.
Maggie De Block, minister van Sociale Zaken en Volksgezondheid lanceert een oproep om thema’s in te dienen voor pilootprojecten in het kader van de hervorming van de ziekenhuisfinanciering en van h
