ArticlePloS one2022
Predictors of time to death among cervical cancer patients at Tikur Anbesa specialized hospital from 2014 to 2019: A survival analysis.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Common predictors of cervical cancer related mortality in Ethiopia. A systematic review and meta-analysis.BMC public health · 2024Pooled it
- Determinants of late-stage cervical cancer presentation in Ethiopia: a systematic review and meta-analysis.BMC cancer · 2023Pooled it
- Burden and predictors of cervical cancer mortality in Sub-Saharan Africa: a systematic review and meta-analysis.Infectious agents and cancer · 2026Review
- Time to death and its determinants among cervical cancer patients in Tigray, Ethiopia: a retrospective follow up study.BMC cancer · 2026Article
- Article
- Impact of treatment delay on survival in women diagnosed with cervical cancer in Quito, Ecuador: a retrospective cohort study.Ecancermedicalscience · 2025Article
- Individual-level determinants of late-stage cervical cancer diagnosis and their implications for prevention and control.Ecancermedicalscience · 2025Article
- Time to death from cervical cancer and its predictors in hospitalized patients: a survival approach study in Mato Grosso, Brazil.World journal of surgical oncology · 2024Article
- Survival status and predictors of mortality among cervical cancer patients at oncologic centers in Addis Ababa, Ethiopia: a follow up study.BMC cancer · 2024Article
- Factors associated with late diagnosis of cervical cancer at two national referral hospitals, Kenya 2017: A case control study.Gynecologic oncology reports · 2024Article
- Improving cervical cancer continuum of care towards elimination in Ethiopia: a scoping review.Cancer causes & control : CCC · 2024Article
- Assessing the survival time of women with breast cancer in Northwestern Ethiopia: using the Bayesian approach.BMC women's health · 2024Article
- Survival Status and Predictors Among Women with Advanced Stage of Cervical Cancer.International journal of women's health · 2024Article
- Predictors of cervical tumour size for outpatients with cervical cancer at the University of Gondar referral hospital: a retrospective study design.European journal of medical research · 2023Article
- Factors Affecting Survival of Patients with Cervical Cancer.Iranian journal of public health · 2023Article
- The association between HIV infection and precancerous cervical lesion. A systematic review and meta-analysis of case-control studies.Health science reports · 2023Article
- Assessing survival time of outpatients with cervical cancer: at the university of Gondar referral hospital using the Bayesian approach.BMC women's health · 2023Article
- The trend of change in cervical tumor size and time to death of hospitalized patients in northwestern Ethiopia during 2018-2022: Retrospective study design.Health science reports · 2023Article
- Epidemiological/Disease and Economic Burdens of Cervical Cancer in 2010-2014: Are Younger Women at Risk?Healthcare (Basel, Switzerland) · 2023Article
- Clinical and non-clinical determinants of cervical cancer mortality: A retrospective cohort study in Lagos, Nigeria.Frontiers in oncology · 2023Article
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4 authors.
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Abstract
backgroundCervical cancer (CC) is the 4th most prevalent cancer among females globally. In Ethiopia, around 7,095 new CC cases are diagnosed every year and it is the second common cause of cancer deaths in women. There is limited evidence on survival status as well as about predictors of time to death among CC patients in Ethiopia. Thus, this study investigated the five-year survival status and predictors of time to death among CC patients who had been admitted at Tikur Anbesa specialized Hospital (TASH) from 2014-2019.
methodsFacility-based, retrospective-cohort study was conducted at Tikur Anbesa specialized Hospital among 348 patients from June 2014 to June 2019. A systematic random sampling method was employed to select the study participants. Data were extracted from the patient card, and through phone calls. The data was collected using the android version CS-Entry tool. Data was analyzed by SPSS version 23. Kaplan and Meier's method was used to estimate survival functions and Cox-proportional hazard regression analysis was carried out in order to identify the independent predictors of time to death.
resultsThe overall incidence of death was 31 per 100 person-years of follow up. The median (IQR) follow-up time of the entire cohorts was 18.55 (8.96-49.65) months. The independent predictors for time to death included; age older than 50 years [AHR: 1.4; 95% CI: 1.1-1.9], late stage of CC at diagnosis [AHR: 2.2; 95% CI: 1.7-2.9], No CC treatment [AHR: 2.1; 95% CI: 1.5-3.1] and HIV positive [AHR: 2.3; 95% CI: 1.4-3.8]. CONCLUSION AND RECOMMENDATION: The death rate of CC patients was high. The significant predictors associated with shorten time to death of CC patients were older age, advanced cancer stage at diagnosis, HIV infection and not receiving cancer treatment. Therefore, improving early detection and initiation of treatment for all CC patients is necessary in order to improve patient's survival status. The government needs to strengthen the routine CC screening programs to address high-risk women such as elderly and HIV positive women in Ethiopia.
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