MARATTO

article · BMC Cancer

Five-year survival and prognostic factors of cervical cancer (stages I-IV) in Rwanda: a population-based analysis, 2017–2021

2026Open accessMount Kenya University

Abstract

Cervical cancer remains a leading cause of cancer-related mortality among women in low- and middle-income countries. This study assessed five-year survival and prognostic factors among patients diagnosed with cervical cancer in Rwanda. We conducted a population-based retrospective cohort study using data from the Rwanda National Cancer Registry, including patients diagnosed with cervical cancer (Stages I–IV) between 2017 and 2021. Survival probabilities were estimated using the Kaplan–Meier method, and prognostic factors were identified using Cox proportional hazards models. A total of 1,075 patients were included. The mean age at diagnosis was 54.1 years (SD 12.7). FIGO stage distribution at diagnosis was as follows: Stage I (9.0%), Stage II (18.7%), Stage III (32.0%), Stage IV (10.5%), and unknown stage (29.8%). During follow-up, 20.0% of patients died, while 77.7% were censored. An advanced stage at diagnosis was significantly associated with increased mortality (Stage IV vs. Stage I: aHR = 3.84, 95% CI: 1.98–7.45; p < 0.001). In sensitivity analyses, including a worst-case scenario in which the missing stage was classified as Stage IV, the association between advanced stage and mortality remained robust (Stage IV vs. Stage I: aHR = 2.43, 95% CI: 1.26–4.70; p = 0.008). Survival among cervical cancer patients in Rwanda remains strongly associated with stage at diagnosis. The high proportion of advanced-stage disease and missing stage data underscores the need for improved early detection, data completeness, and follow-up systems.

Research topics

  • Cervical Cancer and HPV Research
  • Endometrial and Cervical Cancer Treatments
  • Head and Neck Cancer Studies

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1186/s12885-026-16763-z

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.