ArticleBMC women's health2025
The effect of waiting time on ovarian cancer survival in oncology centres, Addis Ababa, Ethiopia: a retrospective cohort study.
Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Survival Patterns of Patients with Ovarian Cancer in Africa: Systematic Review and Meta-analysis.Annals of surgical oncology · 2026Pooled it
- Diagnostic value of the Risk of Ovarian Malignancy Algorithm (ROMA) index in the detection of ovarian cancer in postmenopausal women: a systematic review and meta-analysis.BMC women's health · 2025Pooled it
- Ovarian Cancer Mortality Predictors in Public Oncology Centers, Addis Ababa, Ethiopia: A Case-Control Study.Cancer reports (Hoboken, N.J.) · 2026Article
- Management of epithelial ovarian cancer in sub-Saharan Africa: a survey of practicing physicians.Ecancermedicalscience · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvarian cancer is a leading cause of mortality worldwide. The third most prevalent gynecological cancer globally, following cervical and uterine cancer, and the third leading cause of cancer-related mortality among women in Sub-Saharan Africa, including Ethiopia. The time ovarian cancer patients have to wait between diagnosis and initiation of treatment are the indicators of quality in cancer care and influence patient outcomes. Despite extensive studies in the field, little is known about the strength of the association between ovarian cancer survival and waiting time. So, the main purpose of this study is to assess the effect of waiting time on ovarian cancer survival in oncology centers in Addis Ababa, Ethiopia.
methodsA facility-based retrospective cohort study was conducted with a total of 561 study participants included. The main outcome of interest for this study was death due to ovarian cancer. The authors compared the ovarian cancer patients with waiting times ≤ 10 weeks and waiting times > 10 weeks for overall survival rate using the log rank test. The incidence density rate of mortality was calculated for each group variable. The effect of waiting time on ovarian cancer mortality was estimated using the Cox proportional hazards model at the 5% level of significance.
resultsThe incidence density rate of mortality among ovarian cancer patients for waiting time ≤ 10 weeks was found to be 10.85 (95%CI, 9.10-12.98) per 1,000 person years observation, while for waiting time > 10 weeks the mortality rate was found to be 18.05 (95%CI, 15.33-21.23) per 1,000 person years observation. In the Cox regression analysis after full adjustments for confounder variables, the mortality event risk was 36% higher among waiting time > 10 weeks women (AHR = 1.36; 95%CI = 1.05-1.75) as compared to waiting time ≤ 10 weeks.
conclusionsWe have found that the incidence density rate of mortality among ovarian cancer patients was significantly higher in waiting time > 10 weeks groups. Therefore, future policy and clinician programmers should consider the impact of waiting time from diagnosis until to get the first treatment more carefully.
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