Evidence map›Paper›PMID 41851518›Full record

SynthesisAnnals of surgical oncology2026

Survival Patterns of Patients with Ovarian Cancer in Africa: Systematic Review and Meta-analysis.

Chalie Mulugeta, Tadele Emagneneh, Nigusie Abebaw, Aynalem Yetwale, Tilahun Wodaynew, Abebaw Alamrew

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chalie MulugetaDepartment of Midwifery, College of Health Science, Woldia University, Woldia, Ethiopia. chaliemulu19@gmail.com.ORCID http://orcid.org/0009-0008-9038-7996
Tadele EmagnenehDepartment of Midwifery, College of Health Science, Woldia University, Woldia, Ethiopia.
Nigusie AbebawDepartment of Midwifery, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Aynalem YetwaleDepartment of Midwifery, College of Health Science, Woldia University, Woldia, Ethiopia.
Tilahun WodaynewDepartment of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.
Abebaw AlamrewDepartment of Midwifery, College of Health Science, Woldia University, Woldia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer is among the most fatal gynecologic malignancies worldwide, with marked regional disparities in survival outcomes. In Africa, limited comprehensive data exist on survival rates, yet available evidence highlights late-stage diagnosis, restricted access to specialized oncology services, and inequities in treatment availability as key contributors to poor prognosis. Understanding these survival trends is critical not only for clinical awareness, but also for informing health system planning and guiding policy decisions aimed at improving cancer care infrastructure, resource allocation, and patient outcomes across the continent. This meta-analysis synthesizes current data to estimate 1-, 2-, 3-, 5-, and 7-year survival rates for patients with ovarian cancer in Africa, providing an essential benchmark for policymakers and healthcare providers to address gaps and disparities compared with global survival patterns. MATERIALS AND

methodsA systematic review of cohort studies was conducted from 1 to 29 February 2025, by using PubMed, Hinari, EMBASE, Google Scholar, and Web of Science. Methodological quality was assessed using the Newcastle-Ottawa 2016 Critical Appraisal Checklist. Publication bias was evaluated using funnel plots and Egger's test, and heterogeneity was assessed with the I-squared test. Data were analyzed with Stata 11.

resultsA total of 38 articles, including 7339 participants from African countries, were included in this review. Using a random-effects model, the pooled survival rates were estimated as follows: the 1-year survival rate was 71.41% (95% CI 63.71-79.11%); the 2-year survival rate was 69.08% (95% CI 57.31-80.85%); the 3-year survival rate was 61.49% (95% CI 45.19-77.80%); the 5-year survival rate was 61.73% (95% CI 52.72-70.74%); and the 7-year survival rate was 53.74% (95% CI 34.24-73.25%).

conclusionsThis meta-analysis provides a broad overview of ovarian cancer survival rates in Africa, showing variation across timepoints and geographic regions. While the estimated survival rates are encouraging, they remain lower than those reported globally, highlighting ongoing challenges related to late diagnosis, limited treatment access, and healthcare disparities. Policymakers should prioritize raising awareness of cancer symptoms, enhancing early diagnosis through effective referral systems, investing in workforce capacity for specialized surgery and oncology care, and ensuring equitable access to quality cancer services. Further research and context-specific policy measures are essential to support sustainable improvements and the standardized International Federation of Gynaecology and Obstetrics (FIGO) staging system and World Health Organization (WHO) guidelines protocol in survival outcomes across the continent.

Indexed as

Ovarian NeoplasmsAfricaFemaleHumansPrognosisSurvival RateAfricaMeta-analysisOvarian cancerSurvival analysisSystematic review

Identifiers

PMID41851518
PMCPMC13242442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.