15 research outputs found
Ovarian cancer
Ovarian cancer is not a single disease and can be subdivided into at least five different histological subtypes that have different identifiable risk factors, cells of origin, molecular compositions, clinical features and treatments. Ovarian cancer is a global problem, is typically diagnosed at a late stage and has no effective screening strategy. Standard treatments for newly diagnosed cancer consist of cytoreductive surgery and platinum-based chemotherapy. In recurrent cancer, chemotherapy, anti-angiogenic agents and poly(ADP-ribose) polymerase inhibitors are used, and immunological therapies are currently being tested. High-grade serous carcinoma (HGSC) is the most commonly diagnosed form of ovarian cancer and at diagnosis is typically very responsive to platinum-based chemotherapy. However, in addition to the other histologies, HGSCs frequently relapse and become increasingly resistant to chemotherapy. Consequently, understanding the mechanisms underlying platinum resistance and finding ways to overcome them are active areas of study in ovarian cancer. Substantial progress has been made in identifying genes that are associated with a high risk of ovarian cancer (such as BRCA1 and BRCA2), as well as a precursor lesion of HGSC called serous tubal intraepithelial carcinoma, which holds promise for identifying individuals at high risk of developing the disease and for developing prevention strategies
Blockade of glucocorticoid receptors prevents the increase in urea synthesis after hysterectomy in rats
Race and satisfaction in general OB/GYN clinics
<p>Abstract</p> <p>Background</p> <p>The purpose of this study was to test the hypothesis that racial differences in satisfaction can be found among OB/GYN patients on a US naval base.</p> <p>Methods</p> <p>Cross-sectional surveys assessing satisfaction with services were obtained from 838 patients who were seen in one of the two general OB/GYN clinics (455 in the base hospital clinic and 391 in a satellite clinic). Multiple logistic regression analysis was used to identify subgroups of patients who were not very satisfied with care received.</p> <p>Results</p> <p>When the patients seen in the base hospital were analyzed separately, Asian respondents had significantly lower odds of being very satisfied relative to non-Hispanic white respondents (AOR = .33, p < .01).</p> <p>Conclusion</p> <p>Asian patients may be less satisfied than others when treated at a larger facility. Patients treated at a satellite clinic tended to be more satisfied than patients seen at the base hospital.</p