Related Experiment Video
Updated: Jun 1, 2026

06:42
Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
Published on: September 2, 2025
The evidence base for breast cancer screening
Paul Glasziou1, Nehmat Houssami
1Centre for Research in Evidence-Based Practice, Bond University, Gold Coast, 4229 Australia. pglaszio@bond.edu.au
Preventive Medicine
|June 11, 2011
Summary
Breast cancer screening shows a 19% reduction in mortality. However, this translates to less than 1% of all-cause mortality reduction, with benefits and harms needing careful consideration.
Area of Science:
- Oncology
- Public Health
- Epidemiology
Background:
- Breast cancer screening has a long history marked by controversy and varying study designs.
- Decades of research provide substantial evidence on screening effectiveness.
Purpose of the Study:
- To analyze the overall effectiveness of breast cancer screening based on combined trial data.
- To evaluate the impact of screening on mortality and consider modern treatment advancements.
Main Methods:
- Combined analysis of intention-to-treat results from 10 trials spanning 4 decades.
- Modeling to assess the impact of improved systemic therapies on survival rates in screened and non-screened groups.
Main Results:
- A 19% relative reduction in breast cancer mortality observed in intention-to-treat analyses.
- An approximate 25% relative reduction for attendees, translating to <1% reduction in all-cause mortality.
- Modern treatments may reduce the absolute risk reduction difference from screening.
Conclusions:
- Breast cancer screening offers a significant relative mortality reduction but a small absolute reduction in all-cause mortality.
- Balancing screening benefits against harms like over-diagnosis is crucial, varying by age group.
- Incorporating patient perspectives is vital for future breast cancer screening policy development.
Related Concept Videos
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Cancer Prevention
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
Cancer Prevention
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
The Evidence for Evolution
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
Criteria for Causality: Bradford Hill Criteria - II
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts: