Temporal Patterns of Conditions and Symptoms Potentially Associated with Ovarian Cancer
- 1 September 2007
- journal article
- research article
- Published by Mary Ann Liebert Inc in Journal of Women's Health
- Vol. 16 (7) , 971-986
- https://doi.org/10.1089/jwh.2006.0300
Abstract
The late stage at which ovarian cancer is typically diagnosed and its subsequent high mortality have been attributed to a lack of symptoms in its early stages. This study examined the temporal patterns of prediagnostic ovarian cancer symptoms and conditions among women with and without ovarian cancer. We identified 920 ovarian cancer cases from 1998-2002 claims and encounters from Thomson Healthcare's Medstat MarketScan Commercial Claims and Encounters and Medicare Supplemental Databases. These were matched with 2760 comparison women based on age, geographic region, Medicare eligibility, and health plan type. The rates of ovarian cancer-related symptoms, conditions, and procedures recorded in the claims data were compared between the two groups using chi-square and Student's t tests. In the 270 to 31 days prior to the case diagnosis dates, cases had nearly five times more recorded abdominal symptoms (36.2% vs. 7.5%), 3.5 times more recorded female genital symptoms (9.8% vs. 2.7%), and 1.5-2 times more recorded gastrointestinal symptoms (7.7% vs. 3.5%), urethra/urinary tract disorders (12.7% vs. 6.4%), and menopausal disorders (12.4% vs. 7.5%) than the comparison women. However, when the data were examined in 30-day increments for these five diagnosed conditions, the rates for cases and comparison women only started to diverge as the cases' diagnosis drew closer-60-90 days prior. The presence of ovarian cancer-related symptoms and conditions prior to diagnosis among cases was documented in claims data; however, this increase was most pronounced in the 2-3 months prior to diagnosis. It is likely that physicians will see similar symptoms and conditions for women with and without ovarian cancer during most of the 9 months prior to the cases' diagnosis.Keywords
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