Breast cancer screening in younger women: evidence and decision making

1997 ◽  
Vol 3 (3) ◽  
pp. 179-186 ◽  
Author(s):  
J. Mark Elwood
Author(s):  
Paula Riganti ◽  
M. Victoria Ruiz Yanzi ◽  
Camila Micaela Escobar Liquitay ◽  
Karin S Kopitowski ◽  
Juan VA Franco

2016 ◽  
Vol 8 (2) ◽  
pp. 55-62 ◽  
Author(s):  
Stephanie Lynn Chau ◽  
Amy Alabaster ◽  
Karin Luikart ◽  
Leslie Manace Brenman ◽  
Laurel A. Habel

Purpose: Half of US states mandate women be notified if they have dense breasts on their mammogram, yet guidelines and data on supplemental screening modalities are limited. Breast density (BD) refers to the extent that breast tissue appears radiographically dense on mammograms. High BD reduces the sensitivity of screening mammography and increases breast cancer risk. The aim of this study was to determine the potential impact of California’s 2013 BD notification legislation on breast cancer screening patterns. Methods: We conducted a cohort study of women aged 40 to 74 years who were members of a large Northern California integrated health plan (approximately 3.9 million members) in 2011-2015. We calculated pre- and post-legislation rates of screening mammography and magnetic resonance imaging (MRI). We also examined whether women with dense breasts (defined as BI-RADS density c or d) had higher MRI rates than women with nondense breasts (defined as BI-RADS density a or b). Results: After adjustment for race/ethnicity, age, body mass index, medical facility, neighborhood median income, and cancer history, there was a relative 6.6% decrease (relative risk [RR] 0.934, confidence interval [CI] 0.92-0.95) in the rate of screening mammography, largely driven by a decrease among women <50 years. While infrequent, there was a relative 16% increase (RR 1.16, CI 1.07-1.25) in the rate of screening MRI, with the greatest increase among the youngest women. In the postlegislation period, women with extremely dense breasts (BI-RADS d) had 2.77 times (CI 1.93-3.95) the odds of a MRI within 9 months of a screening mammogram compared with women with nondense breasts (BI-RADS b). Conclusions: In this setting, MRI rates increased in the postlegislation period. In addition, women with higher BD were more likely to have supplementary MRI. The decrease in mammography rates seen primarily among younger women may have been due to changes in national screening guidelines.


2020 ◽  
Vol 7 (1) ◽  
pp. 13-18
Author(s):  
Annamarie Beckmeyer ◽  
Rachel Smith ◽  
Laura Miles ◽  
Mara Schonberg ◽  
Amanda Toland ◽  
...  

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. 1502-1502
Author(s):  
Nina Beri ◽  
Kevin Houck ◽  
Victor Villagra ◽  
Stephanie B. Wheeler ◽  
Jeffrey M. Peppercorn

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Molly Frank ◽  
Nicole Fowler

Background/Objective: Mammography is one of the most effective ways to diagnose breast cancer early; however, its perceived benefits are complicated by terminal conditions such as dementia. By undergoing mammography, women with dementia risk treatment complications and false-positive results, which can exacerbate psychological distress. The lack of a standard of care confounds the individual roles of the patient, family caregiver, and physician in the decision-making process. This study evaluates the relationship between dementia severity and family caregiver preferences for shared decision making. Methods: Data were gathered from the Decisions about Cancer screening in Alzheimer’s Disease trial, which uses the Dementia Severity Rating Scale (DSRS) and a revised version of the Control Preferences Scale (CPS) to assess family caregiver preferences for decision-making as a dyad (patient and caregiver) and triad (patient, caregiver, and physician). Two multinomial logistic regression models assessed the relationship between DSRS and CPS categories (active, passive, and collaborative), while controlling for the caregivers’ age, gender, education, relationship to patient, self-perceived income, and race. Both models used the “active” group as the baseline; however, Model 1 examined preferences as a dyad and Model 2 as a triad. Results: Model 1 found a statistically significant association between dementia severity and a collaborative approach (p<0.001), and between dementia severity and a passive approach (p=0.014). For every one-unit increase in DSRS score, the odds of being in the collaborative group decreased by 0.083 and the odds of being in the passive group decreased by 0.085. There was no statistically significant association between dementia severity and decision-making preferences in Model 2. Clinical Significance: The association between dementia severity and family caregiver decision-making preferences supports the need for a standard of care regarding breast cancer screening in women with dementia.


2020 ◽  
Vol 9 (14) ◽  
pp. 985-1002
Author(s):  
Lin Yu ◽  
Ping Li ◽  
Shu Yang ◽  
Pingping Guo ◽  
Xuehui Zhang ◽  
...  

Aim: Breast cancer is a leading cause of cancer among women. Because guidelines on screening for breast cancer for certain ages are controversial, many experts advocate the use of shared decision making (SDM) using validated decision aids (DAs). Recent studies have concluded that DAs are beneficial; however, the results have great heterogeneity. Therefore, further studies are needed to improve understanding of these tools. Objective: This systematic review and meta-analysis aimed to investigate the impact of using web-based DAs in women aged 50 years and below facing the decision to be screened for breast cancer in comparison with usual care. Methods: PubMed, Web of Science, Embase and the Cochrane CENTRAL databases were searched up to February 2020 for studies assessing web-based DAs for women making a breast cancer screening decision and reported quality of decision-making outcomes. Using a random-effects model or a fixed-effects model, meta-analyses were conducted pooling results using mean differences (MD), standardized mean differences (SMD) and relative risks (RR). Results: Of 1097 unique citations, three randomized controlled trials and two before–after studies met the study eligibility criteria. Compared with usual care, web-based DAs increased knowledge (SMD = 0.69; 95% CI: 0.57–0.80; p < 0.00001), reduced decision conflict and increased the proportion of women who made an informed choice (RR = 1.86; 95% CI: 1.38 to 2.50; p < 0.0001), but did not change the intention of women deciding to be screened or affect decision regret. Conclusion: This analysis showed the positive effect of web-based DAs on patient-centered outcomes in breast cancer screening. In the future, more internet devices and free or larger discount WI-FI should be established to ensure more women can benefit from this effective tool.


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