Risk Factors and Mortality Among Women With Interval Breast Cancer vs Screen-Detected Breast Cancer
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Risk factors for interval breast cancer (IBC) in Korean women include lower breast density and lack of family history. While overall mortality is comparable to screen-detected breast cancer (SBC), early IBC diagnosis is linked to higher mortality.
Area Of Science
- Oncology
- Radiology
- Public Health
Background
- Interval breast cancer (IBC) risk factors and survival outcomes compared to screen-detected breast cancer (SBC) are understudied in Korean women.
- Understanding these differences is crucial for optimizing breast cancer screening strategies.
Purpose Of The Study
- To evaluate risk factors associated with IBC and survival outcomes in Korean women.
- To compare IBC with SBC in terms of risk factors and mortality.
Main Methods
- Retrospective cohort study using the Korean National Health Insurance Service Database (2009-2012 screening participants).
- Inclusion of 8702 women with IBC and 9492 women with SBC.
- Mortality outcomes tracked until December 2020.
Main Results
- Increased mammographic density was associated with a decreased probability of IBC.
- Lower body mass index, postmenopausal status, hormone replacement therapy (HRT) use, and no family history of breast cancer were linked to higher IBC likelihood.
- IBC diagnosed 6-12 months post-screening had higher total and cancer-related mortality than SBC.
Conclusions
- Breast density, obesity, and HRT use are associated with IBC risk.
- Supplemental breast ultrasound may reduce IBC incidence in women with dense breasts.
- Overall mortality for IBC is comparable to SBC, but early detection (6-12 months) carries higher mortality risks.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
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...
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
The female reproductive system can be affected by several disorders, including Premenstrual Syndrome (PMS), Premenstrual Dysphoric Disorder (PMDD), endometriosis, and various forms of cancer. PMS and PMDD are cyclical conditions that cause physical and emotional distress, with symptoms that include edema, mood swings, and food cravings. PMDD is a more severe form of PMS characterized by increased symptom severity that peaks during the luteal phase and tends to improve or resolve shortly after...
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...
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...