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Record W4410186745 · doi:10.1136/bmjopen-2024-092725

Survival status and predictors of mortality among patients with breast cancer in Ethiopia: a systematic review and meta-analysis

2025· review· en· W4410186745 on OpenAlexaboutno aff
Hailu Aragie, Dagnew Getnet Adugna, Habtu Kifle Negash, Lemlemu Maru, Nega Dagnew Baye

Bibliographic record

VenueBMJ Open · 2025
Typereview
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFunnel plotMeta-analysisPublication biasBreast cancerHazard ratioObservational studyData extractionDemographyMortality rateSystematic reviewInternal medicineMEDLINECancerConfidence interval

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aimed to evaluate survival outcomes and identify key mortality predictors among patients with breast cancer in Ethiopia. STUDY DESIGN: A systematic review and meta-analysis. STUDY PARTICIPANTS: The study used 11 primary studies, involving a total of 4131 participants. DATA SOURCES: We searched PubMed, Embase, Web of Science, Scopus and Google Scholar until 7 March 2025, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: All observational studies that had reported the survival status and/or at least one predictor of mortality of women patients with breast cancer were considered. DATA EXTRACTION AND SYNTHESIS: Three independent reviewers (HA, HKN and DGA) used a structured data extraction form to extract the data. To compute the pooled survival and mortality rates, the survival rates at different observation periods and the mortality rates reported in the included studies were extracted. RESULTS: Eleven studies were analysed. All studies were of good quality based on Newcastle-Ottawa Scale. However, heterogeneity was high (I² = 98.2%, p=0.00). Funnel plots showed significant publication bias. The Grading of Recommendations, Assessment, Development, and Evaluations assessment indicated moderate certainty for mortality rates and predictors, limited by heterogeneity and regional data gaps. The pooled mortality rate was 36% (95% CI: 25% to 46%). The survival rates at 1, 3 and 5 years were 85% (95% CI: 75% to 96%), 66% (95% CI: 48% to 84%) and 22% (95% CI: 1% to 43%), respectively. Key mortality predictors included advanced clinical stage (Adjusted Hazard Ratio (AHR): 4.14; CI: 2.53 to 6.78), rural residence (AHR: 1.65; 95% CI: 1.27 to 2.14), positive lymph node status (AHR: 2.85; 95% CI: 1.50 to 5.44), no hormonal therapy (AHR: 2.02; 95% CI: 1.59 to 2.56), histologic grade III (AHR: 1.76; 95% CI: 1.29 to 2.41), hormone receptor negativity (AHR: 1.54; 95% CI: 1.05 to 2.25) and comorbidities (AHR: 2.24; 95% CI: 1.41 to 3.56). CONCLUSION: Breast cancer in Ethiopia poses a high mortality rate primarily due to late-stage diagnosis, rural residency, histologic grade III, positive lymph node status and comorbidities. To improve survival outcomes, it is crucial to expand access to early screening, particularly in rural areas, implement comprehensive treatment protocols and strengthen healthcare infrastructure to address these critical factors. PROSPERO REGISTRATION NUMBER: CRD42024575074.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.038
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0170.041
Bibliometrics0.0110.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.207
GPT teacher head0.475
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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