Influence of Prior Psychiatric Disorders on the Treatment Course of Gynaecological Cancer - A Nationwide Cohort Study.

AIMS: To examine the influence of pre-existing psychiatric disorder on the choice of treatment in patients with gynaecological cancer. MATERIALS AND METHODS: The analyses were based on all patients who underwent surgical treatment for endometrial, ovarian or cervical cancer who were registered in the Danish Gynecological Cancer Database in the years 2007-2014 (3059 patients with ovarian cancer, 5100 patients with endometrial cancer and 1150 with cervical cancer). Logistic regression model and Cox regression model, adjusted for relevant confounders, were used to estimate the effect of pre-existing psychiatric disorder on the course of cancer treatment. Our outcomes were (i) presurgical oncological treatment, (ii) macroradical surgery for patients with ovarian cancer, (iii) radiation/chemotherapy within 30 days and 100 days after surgery and (iv) time from surgery to first oncological treatment. RESULTS: In the group of patients with ovarian cancer, more patients with a psychiatric disorder received macroradical surgery versus patients without a psychiatric disorder, corresponding to an adjusted odds ratio of 1.24 (95% confidence interval 0.62-2.41) and the chance for having oncological treatment within 100 days was odds ratio = 1.26 (95% confidence interval 0.77-2.10). As for patients with endometrial cancer, all outcome estimates were close to unity. The adjusted odds ratio for oncological treatment within 30 days after surgery in patients with cervical cancer with a history of psychiatric disorder was 0.20 (95% confidence interval 0.03-1.54). CONCLUSIONS: We did not find any significant differences in the treatment of ovarian and endometrial cancer in patients with pre-existing psychiatric diagnoses. When it comes to oncological treatment, we suggest that increased attention should be paid to patients with cervical cancer having a pre-existing psychiatric diagnosis.

History of Depression in Lung Cancer Patients: Impact of Delay.

AIMS: To examine the influence of a history of depression in the process of diagnostic evaluation and the choice of treatment in lung cancer. MATERIALS AND METHODS: The analysis was based on all patients with non-small cell lung cancer who were registered in 2008-2014; in total, 27 234 patients. To estimate the effect of depression on the diagnostic process and the choice of treatment in lung cancer we fitted a logistic regression model and a Cox regression model adjusting for age, gender, resection and stage. RESULTS: Depression in a patient's anamnesis had no significant effect on the delay in diagnostic evaluation (hazard ratio = 0.99 with 95% confidence interval 0.90; 1.09). Patients with a history of periodic depression had a 33% lower treatment rate (odds ratio = 0.66 with 95% confidence interval 0.51; 0.85) than patients without a history of depression. CONCLUSIONS: Our study shows that patients with a history of periodic depression need special attention when diagnosed with lung cancer.