Advanced Imaging and Receipt of Guideline Concordant Care in Women with Early Stage Breast Cancer

Determinants of Guideline-Discordant Breast Cancer Care

BACKGROUND

Evidence-based breast cancer treatment guidelines recommend the most appropriate course of therapy based on tumor characteristics and extent of disease. Evaluating the multilevel factors associated with guideline discordance is critical to identifying strategies to eliminate breast cancer survival disparities.

METHODS

We identified females diagnosed with a first primary, stage I-III breast cancer between the ages of 20-69 years of age from the population-based Seattle-Puget Sound Surveillance, Epidemiology, and End Results registry. Participants completed a survey about social support, utilization of patient support services, hypothesized barriers to care, and initiation of breast cancer treatment. We used logistic regression to estimate odds ratios and 95% confidence intervals (CI).

RESULTS

Among 1,390 participants, 10% reported guideline-discordant care. In analyses adjusted for patient-level sociodemographic factors, individuals who did not have someone to go with them to appointments or drive them home (OR 1.96; 95% CI, 1.09-3.59) and those who had problems talking to their doctors or their staff (OR 2.03; 95% CI, 1.13-3.64) were more likely to be guideline discordant than those with social support or without such problems, respectively. Use of patient support services was associated with a 43% lower odds of guideline discordance (OR 0.57; 95% CI, 0.36-0.88).

CONCLUSIONS

Although guideline discordance in this cohort of early-stage breast cancer survivors diagnosed <70 years of age was low, instrumental social support, patient support services, and communication with doctors and their staff emerged as potential multilevel intervention targets for improving breast cancer care delivery.

IMPACT

This study supports extending the reach of interventions designed to improve guideline concordance.

Patterns of Surveillance Advanced Imaging and Serum Tumor Biomarker Testing Following Launch of the Choosing Wisely Initiative

BACKGROUND

The purpose of this study was to assess advanced imaging (bone scan, CT, or PET/CT) and serum tumor biomarker use in asymptomatic breast cancer survivors during the surveillance period.

PATIENTS AND METHODS

Cancer registry records for 2,923 women diagnosed with primary breast cancer in Washington State between January 1, 2007, and December 31, 2014, were linked with claims data from 2 regional commercial insurance plans. Clinical data including demographic and tumor characteristics were collected. Evaluation and management codes from claims data were used to determine advanced imaging and serum tumor biomarker testing during the peridiagnostic and surveillance phases of care. Multivariable logistic regression models were used to identify clinical factors and patterns of peridiagnostic imaging and biomarker testing associated with surveillance advanced imaging.

RESULTS

Of 2,923 eligible women, 16.5% (n=480) underwent surveillance advanced imaging and 31.8% (n=930) received surveillance serum tumor biomarker testing. Compared with women diagnosed before the launch of the Choosing Wisely campaign in 2012, later diagnosis was associated with lower use of surveillance advanced imaging (odds ratio [OR], 0.68; 95% CI, 0.52-0.89). Factors significantly associated with use of surveillance advanced imaging included increasing disease stage (stage III: OR, 3.65; 95% CI, 2.48-5.38), peridiagnostic advanced imaging use (OR, 1.76; 95% CI, 1.33-2.31), and peridiagnostic serum tumor biomarker testing (OR, 1.35; 95% CI, 1.01-1.80).

CONCLUSIONS

Although use of surveillance advanced imaging in asymptomatic breast cancer survivors has declined since the launch of the Choosing Wisely campaign, frequent use of surveillance serum tumor biomarker testing remains prevalent, representing a potential target for further efforts to reduce low-value practices.

Receipt of Guideline-Concordant Care Among Older Women With Stage I-III Breast Cancer: A Population-Based Study

Background: This study examined receipt of guideline-concordant care (GCC) according to evidence-based treatment guidelines and quality measures and specific types of treatment among older women with breast cancer. Patients and Methods: A total of 142,433 patients aged ≥66 years diagnosed with stage I-III breast cancer between 2007 and 2011 were identified in the SEER-Medicare linked database. Algorithms considering cancer characteristics and the appropriate course of care as per guidelines versus actual care received determined receipt of GCC. Multivariable logistic regression estimated the likelihood of GCC and specific types of treatment for women aged ≥75 versus 66 to 74 years. Results: Overall, 39.7% of patients received GCC. Patients diagnosed at stage II or III, with certain preexisting conditions, and of nonwhite race were less likely to receive GCC. Patients with hormone-negative tumors, higher grade tumors, and greater access to oncology care resources were more likely to receive GCC. Patients aged ≥75 years were approximately 40% less likely to receive GCC or adjuvant endocrine therapy, 78% less likely to have any surgery, 61% less likely to have chemotherapy, and about half as likely to have radiation therapy than those aged 66 to 74 years. Conclusions: Fewer than half of older women with breast cancer received GCC, with the lowest rates observed among the oldest age groups, racial/ethnic minorities, and women with later-stage cancers. However, patients with more aggressive tumor characteristics and greater access to oncology resources were more likely to receive GCC. Considering that older women have the highest incidence of breast cancer and that many are diagnosed at stages requiring more aggressive treatment, efforts to increase rates of earlier stage diagnosis and the development of less toxic treatments could help improve GCC and survival while preserving quality of life.

Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers

Patients at different ages have different rates of cell development and metabolisms. As a result, age should be an essential part of how a disease diagnosis model is trained and optimized. Unfortunately, most of the existing studies have not taken age into account. This study demonstrated that disease diagnosis models could be improved by merely applying individual models for patients of different age groups. Both transcriptomes and methylomes of the TCGA breast cancer dataset (TCGA-BRCA) were utilized for the analysis procedure of feature selection and classification. Our experimental data strongly suggested that disease diagnosis modeling should integrate patient age into the whole experimental design.