ArticleBritish journal of cancer2017
Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer.
Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Joint exposure to smoking, excessive weight, and physical inactivity and survival of ovarian cancer patients, evidence from the Ovarian Cancer Association Consortium.Cancer causes & control : CCC · 2019Pooled it
- Predictive factors for long-term survivors in advanced-stage epithelial ovarian cancer.AJOG global reports · 2026Article
- Diagnostic accuracy of artificial intelligence in detection of ovarian cancer-a pilot study.Frontiers in medicine · 2026Article
- Analysis of global ovarian cancer disease burden and its changing trend from 1990 to 2021.BMC women's health · 2025Article
- Cellular origins of mucinous ovarian carcinoma.The Journal of pathology · 2025Review
- Article
- Cigarette smoking in relation to survival in Black women with ovarian cancer: Evidence from the African American Cancer Epidemiology Study (AACES).Annals of epidemiology · 2025Article
- Association of pre- and post-diagnosis dietary total antioxidant capacity (TAC) and composite dietary antioxidant index (CDAI) with overall survival in patients with ovarian cancer: a prospective cohort study.Journal of translational medicine · 2025Article
- Use of menopausal hormone therapy before and after diagnosis and ovarian cancer survival-A prospective cohort study in Australia.International journal of cancer · 2025Article
- Multimodal data integration with machine learning for predicting PARP inhibitor efficacy and prognosis in ovarian cancer.Frontiers in oncology · 2025Article
- A comparison of the burden of cancers between 1990 and 2019 in Iran: A national and subnational study.PloS one · 2025Article
- Article
- An assessment of survival outcomes among ovarian cancer patients at the National and Referral Hospital in Kenya.Cancer reports (Hoboken, N.J.) · 2024Article
- The Use of Lipid-based Nanocarriers to Improve Ovarian Cancer Treatment: An Overview of Recent Developments.Current pharmaceutical biotechnology · 2024Review
- Do Aging and Parity Affect VEGF-A/VEGFR Content and Signaling in the Ovary?-A Mouse Model Study.International journal of molecular sciences · 2023Article
- Nanotechnology-Based Nucleic Acid Vaccines for Treatment of Ovarian Cancer.Pharmaceutical research · 2023Review
- Trends of Ovarian Cancer Incidence by Histotype and Race/Ethnicity in the United States 1992-2019.Cancer research communications · 2023Article
- The global, regional and national epidemiology, incidence, mortality, and burden of ovarian cancer.Health science reports · 2022Article
- Long-term survival of nonlocalized epithelial ovarian cancer among women using menopausal hormone therapy prior to diagnosis: The extreme study.International journal of cancer · 2022Article
- Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium.International journal of cancer · 2022Article
Corrections and comments
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8 authors.
Funding
Abstract
backgroundVarious epidemiologic factors have been shown to influence the risk of ovarian cancer development. Given the high fatality associated with this disease, it is of interest to evaluate the association of prediagnostic hormonal, reproductive, and lifestyle exposures with ovarian cancer-specific survival.
methodsWe included 1421 patients with invasive epithelial ovarian cancer diagnosed in Ontario, Canada. Clinical information was obtained from medical records and prediagnostic exposure information was collected by telephone interview. Survival status was determined by linkage to the Ontario Cancer Registry. Proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for ovarian cancer-specific mortality associated with each exposure. Analyses were stratified by histologic subtype to further investigate the associations of risk factors on ovarian cancer-specific mortality.
resultsAfter a mean follow-up of 9.48 years (range 0.59-20.32 years), 655 (46%) women had died of ovarian cancer. Parity (ever) was associated with a significant 29% decreased mortality risk compared with nulliparity (HR=0.71; 95% CI 0.54-0.93; P=0.01). There was a borderline significant association between ever use of oestrogen-containing hormone replacement therapy (HRT) and mortality (HR=0.79; 95% CI 0.62-1.01; P=0.06). A history of cigarette smoking was associated with a significant 25% increased risk of death compared with never smoking (HR=1.25; 95% CI 1.01-1.54; P=0.04). Women with a greater cumulative number of ovulatory cycles had a significantly decreased risk of ovarian cancer-specific death (HR=0.63; 95% CI 0.43-0.94; P=0.02). Increasing BMI (kg m
conclusionsParity, ovulatory cycles, smoking, and BMI may affect survival following the diagnosis of ovarian cancer. Whether or not oestrogen-containing HRT use is beneficial for survival requires further evaluation.
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