SynthesisBMC public health2025
Global determinants of breast cancer mortality: a comprehensive meta-analysis of clinical, demographic, and lifestyle risk factors.
Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Life Postdiagnosis: Female Adult Breast Cancer Survivors' Experience With Physical Activity-A Qualitative Systematic Review.The breast journal · 2025Pooled it
- Epirubicin-Induced Upregulation of miR-143-3p and miR-145 Enhances Cytotoxicity in MCF-7, MDA-MB-231, and BT-474 Breast Cancer Cell Lines.Biochemical genetics · 2026Article
- Intracellular Nanopharmacology of Trastuzumab Deruxtecan Reveals Lysosome-Centered Organelle Vulnerabilities in HER2-Positive Breast Cancer Cells.ACS nano medicine · 2026Article
- Integrated metabolomic, cytotoxic, and computational investigation of Caralluma tuberculata extract in breast cancer cells.Scientific reports · 2026Article
- Surgical Decision-Making in Breast Cancer: A Retrospective Comparative Study from a Tertiary Center.Journal of clinical medicine · 2026Article
- MSWA-ResNet: Multi-Scale Wavelet Attention for Patient-Level and Interpretable Breast Cancer Histopathology Classification.Journal of imaging · 2026Article
- Allostatic load as a framework for understanding early-onset colorectal cancer: current biomarker evidence and future directions.Frontiers in oncology · 2026Article
- 3D Breast Cancer Spheroids Reveal Architecture-Dependent HER2 Expression and Signaling.Biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer is the most prevalent cancer among women and remains the leading cause of cancer-related deaths globally. While previous meta-analyses have explored predictors of breast cancer mortality, many have been limited by small sample sizes. This study seeks to fill this gap by synthesizing data from a larger pool of studies to comprehensively assess the relationship between breast cancer mortality and various risk factors, treatments, complications, and socio-demographic factors. By utilizing a large dataset, this review aims to provide a more robust understanding of the key determinants influencing breast cancer outcomes.
methodA thorough search was conducted up until June 2025 across multiple electronic databases, including Scopus, Medline, Web of Science (WOS), Cochrane Library, Google Scholar, and the Open Research Dataset Challenge. All human studies were included, regardless of language, publication date, or geographic location. A total of 70 studies, involving 2,447,155 patients, met the inclusion criteria. A random-effects model was used to pool the estimates. Sensitivity analysis and publication bias were also evaluated.
resultsThe analysis revealed a pooled mortality rate of 16.89% (95% CI, 12.94-21.76%) among women with breast cancer. The Luminal B subtype was associated with increased mortality, while treatments such as lumpectomy with radiation and chemotherapy with trastuzumab showed a reduction in mortality risk. High allostatic load and advanced ECOG performance status were found to elevate mortality risk. Other risk factors included HIV positivity, positive lymph nodes, diabetes, large tumor size, older age, and obesity also correlated with higher mortality, while higher education levels appeared to reduce risk. Additionally, black race and current smoking were associated with increased mortality, whereas higher educational levels correlated with a lower mortality risk.
conclusionIn conclusion, this meta-analysis highlights key factors influencing breast cancer mortality, including treatment strategies, socio-demographic variables, and lifestyle behaviors. Our findings emphasize the need for targeted interventions and personalized care to improve survival outcomes and reduce global disparities in breast cancer mortality.
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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.