paywalled: Evaluation of prevalent and incident ovarian cancer co-morbidity : British Journal of Cancer Ovarian Cancer and Us OVARIAN CANCER and US Ovarian Cancer and Us

Blog Archives: Nov 2004 - present

#ovariancancers



Special items: Ovarian Cancer and Us blog best viewed in Firefox

Search This Blog

Tuesday, May 01, 2012

paywalled: Evaluation of prevalent and incident ovarian cancer co-morbidity : British Journal of Cancer



Access : Evaluation of prevalent and incident ovarian cancer co-morbidity : British Journal of Cancer

British Journal of Cancer , (1 May 2012) | doi:10.1038/bjc.2012.164

Evaluation of prevalent and incident ovarian cancer co-morbidity

Background:

The peak in incidence of ovarian cancer occurs around 65 years and concurrent increasing risk by age for a number of diseases strongly influence treatment and prognosis. The aim was to explore prevalence and incidence of co-morbidity in ovarian cancer patients compared with the general population.

Methods:

The study population was patients with ovarian cancer in Sweden 1993–2006 (n=11139) and five controls per case (n=55687). Co-morbidity from 1987 to 2006 was obtained from the Swedish Patient Register. Prevalent data were analysed with logistic regression and incident data with Cox proportional hazards models.

Results:

Women developing ovarian cancer did not have higher overall morbidity than other women earlier than 3 months preceding cancer diagnosis. However, at time of diagnosis 11 of 13 prevalent diagnosis groups were more common among ovarian cancer patients compared with controls. The incidence of many common diagnoses was increased several years following the ovarian cancer and the most common diagnoses during the follow-up period were thromboembolism, haematologic and gastrointestinal complications.

Conclusion:

Women developing ovarian cancer do not have higher overall morbidity the years preceding cancer diagnosis. The incidence of many common diagnoses was increased several years following the ovarian cancer. It is crucial to consider time between co-morbidity and cancer diagnosis to understand and interpret associations.

0 comments :

Post a Comment

Your comments?

Note: Only a member of this blog may post a comment.