Patterns and predictors of breast cancer chemotherapy use in Kaiser Permanente Northern California, 2004-2007

Primary Care Telemedicine and Care Continuity: Implications for Timeliness and Short-term Follow-up Healthcare

BACKGROUND

The effectiveness of telemedicine by a patient's own primary care provider (PCP) versus another available PCP is understudied.

OBJECTIVE

Examine the association between primary care visit modality with timeliness and follow-up in-person healthcare, including variation by visits with the patient's own PCP versus another PCP.

DESIGN AND PARTICIPANTS

Cohort study including primary care visits in a large, integrated delivery system in 2022.

MEASURES

Outcomes included timeliness (visit completed within 7 days of scheduling) and in-person follow-up (PCP visits, emergency department (ED) visits, hospitalizations) within 7 days of the index PCP visit. Logistic regression measured the association between visit modality (in-person, video, and audio-only telemedicine) with the patient's own PCP or another PCP and outcomes, adjusting for characteristics.

KEY RESULTS

Among 4,817,317 primary care visits, 59% were in-person, 27% audio-only, and 14% video telemedicine. Most (71.3%) were with the patient's own PCP. Telemedicine visits were timelier, with modality having a larger association for visits with patient's own PCP versus another PCP (P < 0.001). For visits with patient's own PCPs, return office visit rates were 1.2% for in-person, 5.3% for video, and 6.1% for audio-only. For another PCP, rates were 2.2% for in-person, 7.3% for video, and 8.1% for audio. Follow-up ED visits ranged from 1.4% (in-person) to 1.6% (audio-only) with own PCP, compared to 1.9% (in-person) to 2.3% (audio-only) with another PCP. Differences in return office and ED visits between in-person and telemedicine were larger for visits with another PCP compared to their own PCP (P < 0.001). Follow-up hospitalizations were rare, ranging from 0.19% (in-person with own PCP) to 0.32% (video with another PCP).

CONCLUSION

Differences in return office and ED visits between in-person and telemedicine were larger when patients saw a less familiar PCP compared to their own PCP, reinforcing the importance of care continuity.

Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force

Importance

The effects of breast cancer incidence changes and advances in screening and treatment on outcomes of different screening strategies are not well known.

Objective

To estimate outcomes of various mammography screening strategies.

Design, Setting, and Population

Comparison of outcomes using 6 Cancer Intervention and Surveillance Modeling Network (CISNET) models and national data on breast cancer incidence, mammography performance, treatment effects, and other-cause mortality in US women without previous cancer diagnoses.

Exposures

Thirty-six screening strategies with varying start ages (40, 45, 50 years) and stop ages (74, 79 years) with digital mammography or digital breast tomosynthesis (DBT) annually, biennially, or a combination of intervals. Strategies were evaluated for all women and for Black women, assuming 100% screening adherence and "real-world" treatment.

Main Outcomes and Measures

Estimated lifetime benefits (breast cancer deaths averted, percent reduction in breast cancer mortality, life-years gained), harms (false-positive recalls, benign biopsies, overdiagnosis), and number of mammograms per 1000 women.

Results

Biennial screening with DBT starting at age 40, 45, or 50 years until age 74 years averted a median of 8.2, 7.5, or 6.7 breast cancer deaths per 1000 women screened, respectively, vs no screening. Biennial DBT screening at age 40 to 74 years (vs no screening) was associated with a 30.0% breast cancer mortality reduction, 1376 false-positive recalls, and 14 overdiagnosed cases per 1000 women screened. Digital mammography screening benefits were similar to those for DBT but had more false-positive recalls. Annual screening increased benefits but resulted in more false-positive recalls and overdiagnosed cases. Benefit-to-harm ratios of continuing screening until age 79 years were similar or superior to stopping at age 74. In all strategies, women with higher-than-average breast cancer risk, higher breast density, and lower comorbidity level experienced greater screening benefits than other groups. Annual screening of Black women from age 40 to 49 years with biennial screening thereafter reduced breast cancer mortality disparities while maintaining similar benefit-to-harm trade-offs as for all women.

Conclusions

This modeling analysis suggests that biennial mammography screening starting at age 40 years reduces breast cancer mortality and increases life-years gained per mammogram. More intensive screening for women with greater risk of breast cancer diagnosis or death can maintain similar benefit-to-harm trade-offs and reduce mortality disparities.

Patterns of chemotherapy receipt among patients with hormone receptor-positive, HER2-negative breast cancer

BACKGROUND

Breast cancer chemotherapy utilization not only may differ by race and age, but also varies by genomic risk, tumor characteristics, and patient characteristics. Studies in demographically diverse populations with both clinical and genomic data are necessary to understand potential disparities by race and age.

METHODS

In the Carolina Breast Cancer Study Phase 3 (2008-2013), chemotherapy receipt (yes/no) and regimen type were assessed in association with age and race among hormone receptor (HR) positive and HER2-negative tumors (n = 1862). Odds ratios were estimated for the association between demographic factors and chemotherapy receipt.

RESULTS

Monotonic decreases in frequency of adjuvant chemotherapy receipt were observed over time during the study period, while neoadjuvant chemotherapy was stable. Younger age was associated with chemotherapy receipt (OR [95% CI]: 2.9 [2.4, 3.6]) and with anthracycline-based regimens (OR [95% CI]: 1.7 [1.3, 2.4]). Participants who had Medicaid (OR [95% CI]: 1.8 [1.3, 2.5]), lived in rural settings (OR [95% CI]: 1.4 [1.0, 2.0]), or were Black (OR [95% CI]: 1.5 [1.2, 1.8]) had slightly higher odds of chemotherapy, but these associations were non-significant with adjustment for stage and grade. Associations between younger age and chemotherapy receipt were strongest among women who did not receive genomic testing.

CONCLUSIONS

While race was not strongly associated with chemotherapy receipt, younger age remains a strong predictor of chemotherapy receipt, even with adjustment for clinical factors and among women who receive genomic testing.

Population simulation modeling of disparities in US breast cancer mortality

BACKGROUND

Populations of African American or Black women have persistently higher breast cancer mortality than the overall US population, despite having slightly lower age-adjusted incidence.

METHODS

Three Cancer Intervention and Surveillance Modeling Network simulation teams modeled cancer mortality disparities between Black female populations and the overall US population. Model inputs used racial group-specific data from clinical trials, national registries, nationally representative surveys, and observational studies. Analyses began with cancer mortality in the overall population and sequentially replaced parameters for Black populations to quantify the percentage of modeled breast cancer morality disparities attributable to differences in demographics, incidence, access to screening and treatment, and variation in tumor biology and response to therapy.

RESULTS

Results were similar across the 3 models. In 2019, racial differences in incidence and competing mortality accounted for a net ‒1% of mortality disparities, while tumor subtype and stage distributions accounted for a mean of 20% (range across models = 13%-24%), and screening accounted for a mean of 3% (range = 3%-4%) of the modeled mortality disparities. Treatment parameters accounted for the majority of modeled mortality disparities: mean = 17% (range = 16%-19%) for treatment initiation and mean = 61% (range = 57%-63%) for real-world effectiveness.

CONCLUSION

Our model results suggest that changes in policies that target improvements in treatment access could increase breast cancer equity. The findings also highlight that efforts must extend beyond policies targeting equity in treatment initiation to include high-quality treatment completion. This research will facilitate future modeling to test the effects of different specific policy changes on mortality disparities.

A health equity framework to support the next generation of cancer population simulation models

Over the past 2 decades, population simulation modeling has evolved as an effective public health tool for surveillance of cancer trends and estimation of the impact of screening and treatment strategies on incidence and mortality, including documentation of persistent cancer inequities. The goal of this research was to provide a framework to support the next generation of cancer population simulation models to identify leverage points in the cancer control continuum to accelerate achievement of equity in cancer care for minoritized populations. In our framework, systemic racism is conceptualized as the root cause of inequity and an upstream influence acting on subsequent downstream events, which ultimately exert physiological effects on cancer incidence and mortality and competing comorbidities. To date, most simulation models investigating racial inequity have used individual-level race variables. Individual-level race is a proxy for exposure to systemic racism, not a biological construct. However, single-level race variables are suboptimal proxies for the multilevel systems, policies, and practices that perpetuate inequity. We recommend that future models designed to capture relationships between systemic racism and cancer outcomes replace or extend single-level race variables with multilevel measures that capture structural, interpersonal, and internalized racism. Models should investigate actionable levers, such as changes in health care, education, and economic structures and policies to increase equity and reductions in health-care-based interpersonal racism. This integrated approach could support novel research approaches, make explicit the effects of different structures and policies, highlight data gaps in interactions between model components mirroring how factors act in the real world, inform how we collect data to model cancer equity, and generate results that could inform policy.

Opportunities and challenges when using record linkage of routinely collected electronic health care data to evaluate outcomes of systemic anti-cancer treatment in clinical practice

The efficacy and safety of cancer medicines as reported from randomised clinical trials do not always translate into similar benefits in routine clinical practice; hence, post-marketing studies are a useful addition to the evidence base. With recent advances in digital infrastructure and the advent of electronically available health records, linkage of routinely collected data has emerged as a promising evaluation method for these studies. This paper discusses the opportunities and challenges when applying an electronic record linkage methodology with respect to systemic anti-cancer therapy by showcasing exemplar studies conducted over a three-year period in Scotland, and highlights some of the potential pitfalls spanning the entire breadth and depth of the research process. Our experiences as an interdisciplinary team indicate that there is scope to conduct large cohort studies to generate results from routine clinical practice within a reasonable time frame; however, close collaboration between researchers, data controllers and clinicians is required in order to obtain valid and meaningful results.

The impact of hormone receptor on the clinical outcomes of HER2-positive breast cancer: a population-based study

BACKGROUND

To investigate the impact of hormone receptor (HR) on the clinicopathological characteristics and prognosis of human epidermal growth factor receptor 2 (HER2)-positive breast cancer.

METHODS

Using the Surveillance, Epidemiology, and End Results database, we enrolled patients diagnosed with HER2-positive breast cancer between 2010 and 2016, which were successively assessed for eligibility and categorized into HR + /HER2 + and HR-/HER2 + subgroups. Clinicopathological characteristics were undergone comparative analyses with the baseline distinctions calibrated by propensity score matching, while the survival outcomes were compared using Kaplan-Meier method with log-rank tests.

RESULTS

A total of 46,803 HER2-positive breast cancer patients were identified, of which 32,919 individuals were HR + /HER2 + subtype and 13,884 individuals were HR-/HER2 + subtype, respectively. Comparatively, HR + /HER2 + breast cancer presented a lower histological grade, a smaller tumor size, a lower nodal involvement, and a lower rate of de novo stage IV disease. Substantial heterogeneity was detected in the metastatic patterns of organ-specific involvement between the two subgroups with initial metastasis. Overall, patients with HR + /HER2 + tumors had increasingly favorable prognosis in terms of overall survival and breast cancer-specific survival than patients with the HR-/HER2 + subtype. However, this kind of tendency exhibited disparities associated with HR-specific subtypes based on estrogen receptor (ER) and progesterone receptor (PgR) status, in which ER-/PgR + tended to present the worst prognosis.

CONCLUSION

This study revealed profound heterogeneity associated with HR status in the clinical outcomes of HER2-positive breast cancer regarding clinicopathological features, metastatic patterns, and prognosis. Prospective studies to optimize therapeutic strategies for HER2-positive subgroups are warranted.

Modeling risks of cardiovascular and cancer mortality following a diagnosis of loco-regional breast cancer

Background

Many women with breast cancer also have a high likelihood of cardiovascular mortality, and while there are several cardiovascular risk prediction models, none have been validated in a cohort of breast cancer patients. We first compared the performance of commonly-used cardiovascular models, and then derived a new model where breast cancer and cardiovascular mortality were modeled simultaneously, to account for the competing risk endpoints and commonality of risk factors between the two events.

Methods

We included 20,462 women diagnosed with stage I–III breast cancer between 2000 and 2010 in Kaiser Permanente Northern California (KPNC) with follow-up through April 30, 2015, and examined the performance of the Framingham, CORE and SCOREOP cardiovascular risk models by area under the receiver operating characteristic curve (AUC), and observed-to -expected (O/E) ratio. We developed a multi-state model based on cause-specific hazards (CSH) to jointly model the causes of mortality.

Results

The extended models including breast cancer characteristics (grade, tumor size, nodal involvement) with CVD risk factors had better discrimination at 5-years with AUCs of 0.85 (95% CI 0.83, 0.86) for cardiovascular death and 0.80 (95% CI 0.78, 0.87) for breast cancer death compared with the existing cardiovascular models evaluated at 5 years AUCs ranging 0.71–0.78. Five-year calibration for breast and cardiovascular mortality from our multi-state model was also excellent (O/E = 1.01, 95% CI 0.91–1.11).

Conclusion

A model incorporating cardiovascular risk factors, breast cancer characteristics, and competing events, outperformed traditional models of cardiovascular disease by simultaneously estimating cancer and cardiovascular mortality risks.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13058-021-01469-w.

Comparisons of Treatment for HER2-Positive Breast Cancer between Chinese and International Practice: A Nationwide Multicenter Epidemiological Study from China

OBJECTIVE

To better understand the status of medical treatment for human epidermal growth factor receptor 2 (HER2)-positive breast cancer and the differences between the Chinese and the international clinical practice.

METHODS

This was a retrospective, nationwide, multicenter, epidemiological study of advanced breast cancer patients from China. Between January 01, 2012, and December 31, 2014, a total of 3649 patients, covering 7 geographic regions and 21 institutions, participated in this series of studies. HER2-positive breast cancer was selected among the group and adopted into this study. In comparison, we summarized the demographics and clinical characteristics of HER2-positive breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database.

RESULTS

A total of 918 patients diagnosed as HER2-positive breast cancer patients were included. The median age at diagnosis was 46 years (ranging, 23 to 78) with a single-peak incidence. The proportions of stages II-IV at diagnosis and distance metastasis in viscera were more than half of the participants. In comparison, the prevalence of estrogen or progesterone receptor-positive expression and luminalB subtype was relatively lower than that of the United States. The receipt of chemotherapy was fairly higher, while the usage of targeted therapy was seriously insufficient. Tumor size was in significantly positive associations with the duration of targeted therapy (Kendall's correlation coefficient = 0.3, P < 0.0001), while no prohibitive variables among clinical characteristics were detected.

CONCLUSION

Our study suggested that HER2-positive breast cancer patients were characterized as a younger trend, a lower prevalence of hormonal receptor (HR)-positive expression, and less accessible to anti-HER2 targeted therapy with insufficient duration over the past few years in China. Concerted efforts should be exerted for promising survival benefits in the future. The trial registration number is https://clinicaltrials.gov/ct2/show/NCT03047889.

Assessment of Oncology Practice Billing Claims for Supplementing Chemotherapy: A Pilot Study in the Georgia SEER Cancer Registry

BACKGROUND

Chemotherapy information in the population-based cancer registries is underascertained and lacks detail. We conducted a pilot study in the Georgia SEER Cancer Registry (GCR) to investigate the feasibility of supplementing chemotherapy information using billing claims from six private oncology practices (OP).

METHODS

To assess cancer patients' representativeness from OP, we compared individuals with invasive first primary cancers diagnosed during 2013-2015 in the GCR (cohort 1) with those who had at least one OP claim in the 12 months after diagnosis (cohort 2). To assess completeness of OP claims to capture chemotherapy (yes or no), we further restricted cohort 2 to patients ages 65 years and older enrolled in fee-for-service Medicare Part A and B from the diagnosis date through 12 months follow-up or to the date of death. With Medicare data serving as the gold standard, sensitivity, specificity, and kappa statistics for the receipt of chemotherapy per OP claims were calculated by demographic and clinical characteristics.

RESULTS

Cancer patients seeking care in the OP included in our analysis were not representative of the underlying patient population in the GCR. The practices underrepresented minorities and uninsured while overrepresenting females, persons with high socioeconomic status, patients residing outside the metropolitan Atlanta area, and persons with advance staged disease. The ability of practice claims to identify chemotherapy receipt was moderate (76.1% sensitivity) but varied by demographic and clinical characteristics (76.1-83.0%).

CONCLUSIONS

Given the limited ability of OP claims to identify chemotherapy receipt, we suggest analyzing these data for hypothesis generation, but inference should be limited to this patient cohort.

Breast Cancer in San Francisco: Disentangling Disparities at the Neighborhood Level

BACKGROUND

This study uses a novel geographic approach to summarize the distribution of breast cancer in San Francisco and aims to identify the neighborhoods and racial/ethnic groups that are disproportionately affected by this disease.

METHODS

Nine geographic groupings were newly defined on the basis of racial/ethnic composition and neighborhood socioeconomic status. Distribution of breast cancer cases from the Greater Bay Area Cancer Registry in these zones were examined. Multivariable logistic regression models were used to determine neighborhood associations with stage IIB⁺ breast cancer at diagnosis. Cox proportional hazards regression was used to estimate the hazard ratios for all-cause and breast cancer-specific mortality.

RESULTS

A total of 5,595 invasive primary breast cancers were diagnosed between January 1, 2006 and December 31, 2015. We found neighborhood and racial/ethnic differences in stage of diagnosis, molecular subtype, survival, and mortality. Patients in the Southeast (Bayview/Hunter's Point) and Northeast (Downtown, Civic Center, Chinatown, Nob Hill, Western Addition) areas were more likely to have stage IIB⁺ breast cancer at diagnosis, and those in the East (North Beach, Financial District, South of Market, Mission Bay, Potrero Hill) and Southeast were more likely to be diagnosed with triple-negative breast cancers (TNBC). Compared with other racial/ethnic groups, Blacks/African Americans (B/AA) experienced the greatest disparities in breast cancer-related outcomes across geographic areas.

CONCLUSIONS

San Francisco neighborhoods with lower socioeconomic status and larger minority populations experience worse breast cancer outcomes.

IMPACT

Our findings, which reveal breast cancer disparities at sub-county geographic levels, have implications for population-level health interventions.

Patient-clinician interactions and disparities in breast cancer care: the equality in breast cancer care study

PURPOSE

To examine whether interpersonal aspects of patient-clinician interactions, such as patient-perceived medical discrimination, clinician mistrust, and treatment decision-making contribute to racial/ethnic/educational disparities in breast cancer care.

METHODS

A telephone interview was administered to 542 Asian/Pacific Islander (API), Black, Hispanic, and White women identified through the Greater Bay Area Cancer Registry, ages 20 and older diagnosed with a first primary invasive breast cancer. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were calculated from logistic regression models that assessed associations between race/ethnicity/education, medical discrimination, clinician mistrust, and treatment decision-making with concordance to breast cancer treatment guidelines (guideline-concordant treatment) and perceived quality of care (pQoC).

RESULTS

Approximately three-quarters of women received treatment that was guideline-concordant (76.6%) and reported that their breast cancer care was excellent (72.1%). Non-college-educated Black women had lower odds of guideline-concordant care (aOR (CI) = 0.29 (0.12-0.67)) vs. college-educated White women. Odds of excellent pQoC were lower among the following: college-educated Hispanic women (aOR (CI) = 0.09 (0.02-0.47)) and API women regardless of education (aORs ≤ 0.50) vs. college-educated White women, women reporting low and moderate levels of discrimination (aORs ≤ 0.44) vs. none, and women reporting any clinician mistrust (aOR (CI) = 0.50 (0.29-0.88)) vs. none. Disparities in guideline-concordant care and pQoC persisted after controlling for medical discrimination, clinician mistrust, and decision-making.

CONCLUSIONS

Interpersonal aspects of the patient-clinician interaction had an impact on pQoC but not receipt of guideline-concordant treatment and did not explain disparities in either outcome.

IMPLICATIONS FOR CANCER SURVIVORS

Although breast cancer survivors' interpersonal interactions with clinicians did not influence receipt of appropriate treatment, intervention strategies to improve patient-clinician relations may help attenuate disparities in survivors' pQoC.

Demographic, clinical, and geographical factors associated with lack of receipt of physician recommended chemotherapy in women with breast cancer in Texas

PURPOSE

Identifying demographic, clinical, and geographical factors that contribute to disparities in the receipt of physician recommended chemotherapy in breast cancer patients.

METHODS

The Texas Cancer Registry was used to identify women aged ≥ 18 years with invasive breast cancer diagnosed from 2007 to 2011 who received a recommendation for chemotherapy. Multivariable logistic regression was performed to determine associations between demographic and clinical factors and the receipt of chemotherapy. Cox proportional regression was used to estimate the hazard ratio (HR) for overall survival. Spatial analysis was conducted using Poisson models for breast cancer mortality and receipt of chemotherapy.

RESULTS

Age ≥ 65 years, residence in areas with > 20% poverty index, and early disease stage were associated with lack of receipt of chemotherapy (all p < 0.001). Lack of receipt of chemotherapy was associated with decreased overall survival (HR 1.33, 95% CI 1.12-1.59, p = 0.001). A 38-county cluster in West Texas had lower receipt of chemotherapy (relative risk 0.88, p = 0.02) and increased breast cancer mortality (p = 0.03) compared to the rest of Texas.

CONCLUSION

Older age, increased poverty and rural geographical location are barriers to the receipt of chemotherapy. Interventions that target these barriers may reduce health disparities and improve breast cancer survival.

Racial/ethnic differences in the utilization of chemotherapy among stage I-III breast cancer patients, stratified by subtype: Findings from ten National Program of Cancer Registries states

BACKGROUND

The study aimed to examine racial/ethnic differences in chemotherapy utilization by breast cancer subtype.

METHODS

Data on female non-Hispanic white (NHW), non-Hispanic black (NHB), and Hispanic stage I-III breast cancer patients diagnosed in 2011 were obtained from a project to enhance population-based National Program of Cancer Registry data for Comparative Effectiveness Research. Hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) were used to classify subtypes: HR+/HER2-; HR+/HER2+; HR-/HER2-; and HR-/HER2 + . We used multivariable logistic regression models to examine the association of race/ethnicity with three outcomes: chemotherapy (yes, no), neo-adjuvant chemotherapy (yes, no), and delayed chemotherapy (yes, no). Covariates included patient demographics, tumor characteristics, Charlson Comorbidity Index, other cancer treatment, and participating states/areas.

RESULTS

The study included 25,535 patients (72.1% NHW, 13.7% NHB, and 14.2% Hispanics). NHB with HR+/HER2- (adjusted odds ratio [aOR] 1.22, 95% CI 1.04-1.42) and Hispanics with HR-/HER2- (aOR 1.62, 95% CI 1.15-2.28) were more likely to receive chemotherapy than their NHW counterparts. Both NHB and Hispanics were more likely to receive delayed chemotherapy than NHW, and the pattern was consistent across each subtype. No racial/ethnic differences were found in the receipt of neo-adjuvant chemotherapy.

CONCLUSIONS

Compared to NHW with the same subtype, NHB with HR+/HER2- and Hispanics with HR-/HER2- have higher odds of using chemotherapy; however, they are more likely to receive delayed chemotherapy, regardless of subtype. Whether the increased chemotherapy use among NHB with HR+/HER2- indicates overtreatment needs further investigation. Interventions to improve the timely chemotherapy among NHB and Hispanics are warranted.

Breast Cancer Mortality in Older and Younger Patients in California

BACKGROUND

Breast cancer in younger patients is reported to be more aggressive and associated with lower survival; however, factors associated with age-specific mortality differences have not been adequately assessed.

METHODS

We used data from the population-based California Cancer Registry for 38,509 younger (18-49 years) and 121,573 older (50 years and older) women diagnosed with stage I to III breast cancer, 2005-2014. Multivariable Cox regression models were used to estimate breast cancer-specific mortality rate ratios (MRR) and 95% confidence intervals (CI), stratified by tumor subtype, guideline treatment, and care at an NCI-designated cancer center (NCICC).

RESULTS

Older breast cancer patients at diagnosis experienced 17% higher disease-specific mortality than younger patients, after multivariable adjustment (MRR = 1.17; 95% CI, 1.11-1.23). Higher MRRs (95% CI) were observed for older versus younger patients with hormone receptor (HR)⁺/HER2^- (1.24; 1.14-1.35) and HR⁺/HER2⁺ (1.38; 1.17-1.62), but not for HR^-/HER2⁺ (HR = 0.94; 0.79-1.12) nor triple-negative breast cancers (1.01; 0.92-1.11). The higher mortality in older versus younger patients was diminished among patients who received guideline-concordant treatment (MRR = 1.06; 95% CI, 0.99-1.14) and reversed among those seen at an NCICC (MRR = 0.86; 95% CI, 0.73-1.01).

CONCLUSIONS

Although younger women tend to be diagnosed with more aggressive breast cancers, adjusting for these aggressive features results in older patients having higher mortality than younger patients, with variations by age, tumor subtype, receipt of guideline treatment, and being cared for at an NCICC.

IMPACT

Higher breast cancer mortality in older compared with younger women could partly be addressed by ensuring optimal treatment and comprehensive patient-centered care.

Treatment Patterns Among Women Diagnosed With Stage I-III Triple-negative Breast Cancer

OBJECTIVE

To examine contemporary treatment patterns for women diagnosed with stage I-III triple-negative breast cancer (TNBC) in the United States.

METHODS

We identified 48,961 patients diagnosed with stage I-III TNBC from 2010 to 2013 in the National Cancer Data Base and created 3 treatment subcohorts (definitive locoregional therapy [appropriate local therapy, including surgery/radiation], adjuvant chemotherapy [stage II-III disease or stage I tumors with tumor size ≥1 cm], and adjuvant chemotherapy for small tumors [stage I tumors with tumor size <1 cm and node negative]). We performed descriptive analyses, calculated percentages for treatment receipt, and used multivariable modified Poisson regression models to estimate risk ratios (RRs) with 95% confidence intervals (CIs) predicting receipt of treatments.

RESULTS

Older age, larger tumor size, positive nodal status, and Southern/Pacific US regions, but not race/ethnicity, were strongly associated with a lower probability of receiving definitive locoregional therapy. Older age was also strongly associated with lower likelihood of adjuvant chemotherapy receipt, as were grade, negative nodal status, and higher comorbidity. For example, compared with women aged 18 to 39 years, those aged 75 to 90 years were 17% less likely to receive definitive locoregional therapy (RR, 0.83; 95% CI, 0.73-0.88), and 62% less likely to receive adjuvant chemotherapy (RR, 0.38; 95% CI, 0.35-0.41). Age, tumor grade, tumor size, and comorbidity score were also independently associated with receipt of chemotherapy for women with small TNBC.

CONCLUSIONS

Advancing age but not race/ethnicity was associated with lower likelihood of recommended treatment receipt among women with TNBC. Although omission of therapy among older patients with breast cancer may be appropriate in the case of smaller and lower risk TNBC, some were likely undertreated.

Adjuvant chemotherapeutic treatment of 1650 patients with early breast cancer in routine care in Germany: data from the prospective TMK cohort study

BACKGROUND

Several regimens for which efficacy was established in randomized controlled trials are recommended in current treatment guidelines for early breast cancer. However, knowledge on use and effectiveness of commonly administered chemotherapeutic agents in real-life care and across all breast cancer subtypes is limited.

METHODS

The prospective, multicentre German TMK cohort study (Tumour Registry Breast Cancer) recruited patients in 148 oncology outpatient-centres. Data from 1650 patients who completed adjuvant chemotherapy were analysed regarding treatment regimens and taxane use from 2007 to 2014. The association of patient characteristics with application of taxane-free regimens was examined with a multivariate regression model.

RESULTS

The preferred adjuvant treatment shifted from fluorouracil, anthracycline and cyclophosphamide containing regimens to anthracycline/taxane combinations. Taxane use increased for all subtypes, and the greatest rise was among node-negative patients. Older age, node-negativity, lower grading, HR-positive/HER2-negative subtype and earlier start year of therapy were significantly associated with taxane-free therapy.

CONCLUSIONS

Treatment with anthracycline/taxane-based chemotherapy in Germany has been rising for every subtype. The increased taxane use reflects updated guideline recommendations over the past decade. Cohort studies like the TMK provide insight into real-life treatment of patients outside of clinical trials.

A validation of clinical data captured from a novel Cancer Care Quality Program directly integrated with administrative claims data

Background

Data from a Cancer Care Quality Program are directly integrated with administrative claims data to provide a level of clinical detail not available in claims-based studies, and referred to as the HealthCore Integrated Research Environment (HIRE)-Oncology data. This study evaluated the validity of the HIRE-Oncology data compared with medical records of breast, lung, and colorectal cancer patients.

Methods

Data elements included cancer type, stage, histology (lung only), and biomarkers. A sample of 300 breast, 200 lung, and 200 colorectal cancer patients within the HIRE-Oncology data were identified for medical record review. Statistical measures of validity (agreement, positive predictive value [PPV], negative predictive value [NPV], sensitivity, specificity) were used to compare clinical information between data sources, with medical record data considered the gold standard.

Results

All 300 breast cancer records reviewed were confirmed breast cancer, while 197 lung and 197 colorectal records were confirmed (PPV =0.99 for each). The agreement of disease stage was 85% for breast, 90% for lung, and 94% for colorectal cancer. The agreement of lung cancer histology (small cell vs non-small cell) was 97%. Agreement of progesterone receptor, estrogen receptor, and human epidermal growth factor receptor 2 status biomarkers in breast cancer was 92%, 97%, and 92%, respectively; epidermal growth factor receptor and anaplastic lymphoma kinase agreement in lung was 97% and 92%, respectively; and agreement of KRAS status in colorectal cancer was 95%. Measures of PPV, NPV, sensitivity, and specificity showed similarly strong evidence of validity.

Conclusion

Good agreement between the HIRE-Oncology data and medical records supports the validity of these data for research.

Evolving landscape of human epidermal growth factor receptor 2-positive breast cancer treatment and the future of biosimilars

Human epidermal growth factor receptor 2-positive (HER2+) breast cancer comprises approximately 15%-20% of all breast cancers and is associated with a poor prognosis. The introduction of anti-HER2 therapy has significantly improved clinical outcomes for patients with HER2+ breast cancer, and multiple HER2-directed agents (ie, trastuzumab, pertuzumab, lapatinib, and ado-trastuzumab emtansine [T-DM1]) are approved for clinical use in various settings. The treatment landscape for patients with HER2+ breast cancer is continuing to evolve. While novel agents and therapeutic strategies are emerging, biologic therapies, particularly trastuzumab, are likely to remain a mainstay of treatment. However, access issues create barriers to the use of biologics, and there is evidence for underuse of trastuzumab worldwide. A biosimilar is a biologic product that is highly similar to a licensed biologic in terms of product safety and effectiveness. Biosimilars of trastuzumab are in development and may soon become available. The introduction of biosimilars may improve access to anti-HER2 therapies by providing additional treatment options and lower-cost alternatives. Because HER2-targeted drugs may be administered for extended periods of time and in combination with other systemic therapies, biosimilars have the potential to result in significant savings for healthcare systems. Herein we review current and emerging treatment options for, and discuss the possible role of biosimilars in, treating patients with HER2+ breast cancer.

The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality

BACKGROUND

Racial/ethnic disparity in breast cancer-specific mortality in the United States is well documented. We examined whether accounting for racial/ethnic differences in the prevalence of clinical, patient, and lifestyle and contextual factors that are associated with breast cancer-specific mortality can explain this disparity.

METHODS

The California Breast Cancer Survivorship Consortium combined interview data from six California-based breast cancer studies with cancer registry data to create a large, racially diverse cohort of women with primary invasive breast cancer. We examined the contribution of variables in a previously reported Cox regression baseline model plus additional contextual, physical activity, body size, and comorbidity variables to the racial/ethnic disparity in breast cancer-specific mortality.

RESULTS

The cohort comprised 12,098 women. Fifty-four percent were non-Latina Whites, 17% African Americans, 17% Latinas, and 12% Asian Americans. In a model adjusting only for age and study, breast cancer-specific HRs relative to Whites were 1.69 (95% CI, 1.46-1.96), 1.00 (0.84-1.19), and 0.52 (0.33-0.85) for African Americans, Latinas, and Asian Americans, respectively. Adjusting for baseline-model variables decreased disparity primarily by reducing the HR for African Americans to 1.13 (0.96-1.33). The most influential variables were related to disease characteristics, neighborhood socioeconomic status, and smoking status at diagnosis. Other variables had negligible impact on disparity.

CONCLUSIONS

Although contextual, physical activity, body size, and comorbidity variables may influence breast cancer-specific mortality, they do not explain racial/ethnic mortality disparity.

IMPACT

Other factors besides those investigated here may explain the existing racial/ethnic disparity in mortality. Cancer Epidemiol Biomarkers Prev; 25(7); 1064-72. ©2016 AACR.

Breast Cancer Mortality in African-American and Non-Hispanic White Women by Molecular Subtype and Stage at Diagnosis: A Population-Based Study

BACKGROUND

Higher breast cancer mortality rates for African-American than non-Hispanic White women are well documented; however, it remains uncertain if this disparity occurs in disease subgroups defined by tumor molecular markers and stage at diagnosis. We examined racial differences in outcome according to subtype and stage in a diverse, population-based series of 103,498 patients.

METHODS

We obtained data for all invasive breast cancers diagnosed between January 1, 2005, and December 31, 2012, and followed through December 31, 2012, among 93,760 non-Hispanic White and 9,738 African-American women in California. Molecular subtypes were categorized according to tumor expression of hormone receptor (HR, based on estrogen and progesterone receptors) and human epidermal growth factor receptor 2 (HER2). Cox proportional hazards models were used to calculate relative hazard (RH) and 95% confidence intervals (CI) for breast cancer-specific mortality.

RESULTS

After adjustment for patient, tumor, and treatment characteristics, outcomes were comparable by race for stage I or IV cancer regardless of subtype, and HR(+)/HER2(+) or HR(-)/HER2(+) cancer regardless of stage. We found substantially higher hazards of breast cancer death among African-American women with stage II/III HR(+)/HER2(-) (RH, 1.31; 95% CI, 1.03-1.65; and RH, 1.39; 95% CI, 1.10-1.75, respectively) and stage III triple-negative cancers relative to Whites.

CONCLUSIONS

There are substantial racial/ethnic disparities among patients with stages II/III HR(+)/HER2(-) and stage III triple-negative breast cancers but not for other subtype and stage.

IMPACT

These data provide insights to assess barriers to targeted treatment (e.g., trastuzumab or endocrine therapy) of particular subtypes of breast cancer among African-American patients.

Treatment patterns among elderly patients with stage IV breast cancer treated with HER-2-targeted therapy

AIM

To evaluate treatment patterns among elderly, newly diagnosed stage IV breast cancer patients receiving HER-2-targeted therapy.

METHODS

Women aged 65+ with an incident diagnosis of stage IV breast cancer (index) and no history of other cancer were identified from 2006 to 2010 linked Surveillance, Epidemiology and End RESULTS and Medicare data. Continuous enrollment from 1 year preindex (baseline) through disenrollment, death or the end of the data (follow-up) was required. Patients were required to receive HER-2-targeted therapy (trastuzumab or lapatinib) during follow-up. Treatment therapies during follow-up were evaluated, as was the distribution of treatment combinations. Initial treatment regimens were evaluated based on the treatment(s) received after index. A 42-day gap in therapy or the addition of a biologic therapy was used as a marker for a subsequent regimen.

RESULTS

A total of 173 patients were identified (mean [standard deviation] age: 73.9 [6.7] years). The majority received trastuzumab (>93%) during follow-up (mean [standard deviation] duration: 24.3 [11.3] months), with 9.8% receiving lapatinib. Most received chemotherapy (83.2%), approximately half received surgery (55.5%), over 40% received hormonal therapy and a third received radiation (35.3%). Trastuzumab + chemotherapy was the most common initial treatment regimen (43.9%); less common therapies include trastuzumab alone (17.3%), and trastuzumab + chemotherapy + hormonal (13.3%). Among patients receiving chemotherapy, the majority received a taxane-based chemotherapy. The average treatment duration for any treatment regimen was just less than a year (44.9-52.5 weeks).

CONCLUSION

Among this population, the majority received taxane-based combination chemotherapy, consistent with National Comprehensive Cancer Network guidelines.

Racial/ethnic and socioeconomic differences in short-term breast cancer survival among women in an integrated health system

OBJECTIVES

We examined the combined influence of race/ethnicity and neighborhood socioeconomic status (SES) on short-term survival among women with uniform access to health care and treatment.

METHODS

Using electronic medical records data from Kaiser Permanente Northern California linked to data from the California Cancer Registry, we included 6262 women newly diagnosed with invasive breast cancer. We analyzed survival using multivariable Cox proportional hazards regression with follow-up through 2010.

RESULTS

After consideration of tumor stage, subtype, comorbidity, and type of treatment received, non-Hispanic White women living in low-SES neighborhoods (hazard ratio [HR] = 1.28; 95% confidence interval [CI] = 1.07, 1.52) and African Americans regardless of neighborhood SES (high SES: HR = 1.44; 95% CI = 1.01, 2.07; low SES: HR = 1.88; 95% CI = 1.42, 2.50) had worse overall survival than did non-Hispanic White women living in high-SES neighborhoods. Results were similar for breast cancer-specific survival, except that African Americans and non-Hispanic Whites living in high-SES neighborhoods had similar survival.

CONCLUSIONS

Strategies to address the underlying factors that may influence treatment intensity and adherence, such as comorbidities and logistical barriers, should be targeted at low-SES non-Hispanic White and all African American patients.

Diabetes and other comorbidities in breast cancer survival by race/ethnicity: the California Breast Cancer Survivorship Consortium (CBCSC)

BACKGROUND

The role of comorbidities in survival of patients with breast cancer has not been well studied, particularly in non-white populations.

METHODS

We investigated the association of specific comorbidities with mortality in a multiethnic cohort of 8,952 breast cancer cases within the California Breast Cancer Survivorship Consortium (CBCSC), which pooled questionnaire and cancer registry data from five California-based studies. In total, 2,187 deaths (1,122 from breast cancer) were observed through December 31, 2010. Using multivariable Cox proportional hazards regression, we estimated HRs and 95% confidence intervals (CI) for overall and breast cancer-specific mortality associated with previous cancer, diabetes, high blood pressure (HBP), and myocardial infarction.

RESULTS

Risk of breast cancer-specific mortality increased among breast cancer cases with a history of diabetes (HR, 1.48; 95% CI, 1.18-1.87) or myocardial infarction (HR, 1.94; 95% CI, 1.27-2.97). Risk patterns were similar across race/ethnicity (non-Latina white, Latina, African American, and Asian American), body size, menopausal status, and stage at diagnosis. In subgroup analyses, risk of breast cancer-specific mortality was significantly elevated among cases with diabetes who received neither radiotherapy nor chemotherapy (HR, 2.11; 95% CI, 1.32-3.36); no increased risk was observed among those who received both treatments (HR, 1.13; 95% CI, 0.70-1.84; P(interaction) = 0.03). A similar pattern was found for myocardial infarction by radiotherapy and chemotherapy (P(interaction) = 0.09).

CONCLUSION

These results may inform future treatment guidelines for patients with breast cancer with a history of diabetes or myocardial infarction.

IMPACT

Given the growing number of breast cancer survivors worldwide, we need to better understand how comorbidities may adversely affect treatment decisions and ultimately outcome.

How can we best respect patient autonomy in breast cancer treatment decisions?

Helping patients to maximize their autonomy in breast cancer decision-making is an important aspect of patient-centered care. Shared decision-making is a strategy that aims to maximize patient autonomy by integrating the values and preferences of the patient with the biomedical expertise of the physician. Application of this approach in breast cancer decision-making has not been uniform across cancer-specific interventions (e.g., surgery, chemotherapy), and in some circumstances may present challenges to evidence-based care delivery. Increasingly precise estimates of individual patients' risk of recurrence and commensurate predicted benefit from certain therapies hold significant promise in helping patients exercise autonomous decision-making for their breast cancer care, yet will also likely complicate decision-making for certain subgroups of patients.

Lung cancer incidence trends by histology type among Asian American, Native Hawaiian, and Pacific Islander populations in the United States, 1990-2010

BACKGROUND

Lung cancer is one of the leading cancer sites diagnosed among Asian Americans, Pacific Islanders, and Native Hawaiians (AANHPI). To better understand the patterns of lung cancer incidence among AANHPIs, we examined the incidence trends of five histologic cell types of lung cancer across ten AANHPI populations in comparison with non-Hispanic Whites.

METHODS

Lung cancer incidence data from 1990 through 2010 were obtained from 13 U.S. population-based cancer registries. Age-adjusted histologic cell-type-specific incidence rates and 95% confidence intervals were calculated. Joinpoint regression models and annual percentage change (APC) statistics were used to characterize the magnitude and direction of trends.

RESULTS

From 1990 through 2010, incidence rates of adenocarcinoma increased significantly for Filipino and Korean women with a 2.6% and 3.0% annual percentage increase, respectively. More recently, a significant rise in the incidence of adenocarcinoma was observed for Chinese men (1996-2010; APC = 1.3%). Squamous cell carcinoma (SCC) increased 2.4% per year among Japanese women. For SCC, small cell lung carcinoma, large cell and other specified carcinoma, and unspecified types, stable or decreasing trends were observed in most AANHPI groups and non-Hispanic Whites.

CONCLUSIONS

AANHPIs demonstrate a range in the burden of lung cancer across histologies and specific populations.

IMPACT

These findings illustrate the importance of disaggregating AANHPIs into their specific populations. The rise in incidence of adenocarcinoma and SCC among certain AANHPIs demonstrates the need for research into non-tobacco associated risk factors for these populations and targeted efforts for tobacco prevention.

Impact of breast cancer treatments on sleep disturbances - A systematic review

Sleep disturbances are highly prevalent in women with breast cancer; side effects of cancer treatment may worsen pre-existing sleep problems and have been pointed to as important determinants of their incidence. Therefore, we aimed to assess the association between different types of breast cancer treatment and sleep disturbances, through a systematic review. Medline (using PubMed), CINAHL Plus with full text, PsycINFO and Cochrane Central Register of Controlled Trials (Central) were searched from inception to January 2014. Studies that evaluated samples of women with breast cancer, assessed sleep disturbances with standardized sleep-specific measures, and provided data for different cancer treatments were eligible. A total of 12 studies met the inclusion criteria. Three studies evaluated insomnia, five studies assessed sleep quality, two provide data on general sleep disturbances and two analysed specific sleep parameters. Women submitted to chemotherapy, or radiotherapy, tended to report higher levels of sleep disturbances. More heterogeneous findings were observed regarding the effect of surgical treatment and hormonal therapy. However, a sound assessment of the impact of these treatments was hampered by differences across studies regarding the outcomes assessed, reporting bias and the fact that most studies did not control for the effect of potential confounders. The present review highlights the potential relation between breast cancer treatments and sleep disturbances, particularly of chemotherapy, though more robust evidence is needed for a proper understanding of these associations.

Impact of breast cancer subtypes on 3-year survival among adolescent and young adult women

Introduction

Young women have poorer survival after breast cancer than do older women. It is unclear whether this survival difference relates to the unique distribution of hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2)-defined molecular breast cancer subtypes among adolescent and young adult (AYA) women aged 15 to 39 years. The purpose of our study was to examine associations between breast cancer subtypes and short-term survival in AYA women, as well as to determine whether the distinct molecular subtype distribution among AYA women explains the unfavorable overall breast cancer survival statistics reported for AYA women compared with older women.

Methods

Data for 5,331 AYA breast cancers diagnosed between 2005 and 2009 were obtained from the California Cancer Registry. Survival by subtype (triple-negative; HR+/HER2-; HR+/HER2+; HR-/HER2+) and age-group (AYA versus 40- to 64-year-olds) was analyzed with Cox proportional hazards regression with follow-up through 2010.

Results

With up to 6 years of follow-up and a mean survival time of 3.1 years (SD = 1.5 years), AYA women diagnosed with HR-/HER + and triple-negative breast cancer experienced a 1.6-fold and 2.7-fold increased risk of death, respectively, from all causes (HR-/HER + hazard ratio: 1.55; 95% confidence interval (CI): 1.10 to 2.18; triple-negative HR: 2.75; 95% CI, 2.06 to 3.66) and breast cancer (HR-/HER + hazard ratio: 1.63; 95% CI, 1.12 to 2.36; triple-negative hazard ratio: 2.71; 95% CI, 1.98 to 3.71) than AYA women with HR+/HER2- breast cancer. AYA women who resided in lower socioeconomic status neighborhoods, had public health insurance, and were of Black, compared with White, race/ethnicity experienced worse survival. This race/ethnicity association was attenuated somewhat after adjusting for breast cancer subtypes (hazard ratio, 1.33; 95% CI, 0.98 to 1.82). AYA women had similar all-cause and breast cancer-specific short-term survival as older women for all breast cancer subtypes and across all stages of disease.

Conclusions

Among AYA women with breast cancer, short-term survival varied by breast cancer subtypes, with the distribution of breast cancer subtypes explaining some of the poorer survival observed among Black, compared with White, AYA women. Future studies should consider whether distribution of breast cancer subtypes and other factors, including differential receipt of treatment regimens, influences long-term survival in young compared with older women.

Use of and mortality after bilateral mastectomy compared with other surgical treatments for breast cancer in California, 1998-2011

IMPORTANCE

Bilateral mastectomy is increasingly used to treat unilateral breast cancer. Because it may have medical and psychosocial complications, a better understanding of its use and outcomes is essential to optimizing cancer care.

OBJECTIVE

To compare use of and mortality after bilateral mastectomy, breast-conserving therapy with radiation, and unilateral mastectomy.

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study within the population-based California Cancer Registry; participants were women diagnosed with stages 0-III unilateral breast cancer in California from 1998 through 2011, with median follow-up of 89.1 months.

MAIN OUTCOMES AND MEASURES

Factors associated with surgery use (from polytomous logistic regression); overall and breast cancer-specific mortality (from propensity score weighting and Cox proportional hazards analysis).

RESULTS

Among 189,734 patients, the rate of bilateral mastectomy increased from 2.0% (95% CI, 1.7%-2.2%) in 1998 to 12.3% (95% CI, 11.8%-12.9%) in 2011, an annual increase of 14.3% (95% CI, 13.1%-15.5%); among women younger than 40 years, the rate increased from 3.6% (95% CI, 2.3%-5.0%) in 1998 to 33% (95% CI, 29.8%-36.5%) in 2011. Bilateral mastectomy was more often used by non-Hispanic white women, those with private insurance, and those who received care at a National Cancer Institute (NCI)-designated cancer center (8.6% [95% CI, 8.1%-9.2%] among NCI cancer center patients vs 6.0% [95% CI, 5.9%-6.1%] among non-NCI cancer center patients; odds ratio [OR], 1.13 [95% CI, 1.04-1.22]); in contrast, unilateral mastectomy was more often used by racial/ethnic minorities (Filipina, 52.8% [95% CI, 51.6%-54.0%]; OR, 2.00 [95% CI, 1.90-2.11] and Hispanic, 45.6% [95% CI, 45.0%-46.2%]; OR, 1.16 [95% CI, 1.13-1.20] vs non-Hispanic white, 35.2% [95% CI, 34.9%-35.5%]) and those with public/Medicaid insurance (48.4% [95% CI, 47.8%-48.9%]; OR, 1.08 [95% CI, 1.05-1.11] vs private insurance, 36.6% [95% CI, 36.3%-36.8%]). Compared with breast-conserving surgery with radiation (10-year mortality, 16.8% [95% CI, 16.6%-17.1%]), unilateral mastectomy was associated with higher all-cause mortality (hazard ratio [HR], 1.35 [95% CI, 1.32-1.39]; 10-year mortality, 20.1% [95% CI, 19.9%-20.4%]). There was no significant mortality difference compared with bilateral mastectomy (HR, 1.02 [95% CI, 0.94-1.11]; 10-year mortality, 18.8% [95% CI, 18.6%-19.0%]). Propensity analysis showed similar results.

CONCLUSIONS AND RELEVANCE

Use of bilateral mastectomy increased significantly throughout California from 1998 through 2011 and was not associated with lower mortality than that achieved with breast-conserving surgery plus radiation. Unilateral mastectomy was associated with higher mortality than were the other 2 surgical options.

Preliminary Development and Evaluation of an Algorithm to Identify Breast Cancer Chemotherapy Toxicities Using Electronic Medical Records and Administrative Data

PURPOSE

Breast cancer chemotherapy toxicity is not well documented outside of randomized trials. We developed and conducted preliminary evaluation of an algorithm to detect grade 3 and 4 toxicities using electronic data from a large integrated managed care organization.

METHODS

The algorithm used administrative, pharmacy, and electronic data from outpatient, emergency room, and inpatient records of 99 women diagnosed with breast cancer from 2006 to 2009 who underwent chemotherapy. Data were abstracted for 12 months post-treatment initiation (24 months for trastuzumab recipients). An oncology nurse independently blindly reviewed records; these results were the "gold standard." Sensitivity and specificity were calculated for overall toxicity, categories of toxicities, and toxicity by age or regimen. The algorithm was applied to an independent sample of 1,575 patients with breast cancer diagnosed during the study period to estimate prevalence rates.

RESULTS

The overall sensitivity for detecting chemotherapy-related toxicity was 89% (95% CI, 77% to 95%). The highest sensitivity was for identification of hematologic toxicities (97%; 95% CI, 84% to 99%). There were good sensitivities for infectious toxicity, but rates dropped for GI and neurological toxicities. Specificity was high within each category (89% to 99%), but when combined to measure any toxicity, it was lower (70%; 95% CI, 57% to 81%). When applied to an independent chemotherapy sample, the algorithm estimates a 26% rate of hematologic toxicity; rates were higher among patients age ≥ 65 years versus less than 65 years.

CONCLUSIONS

If validated in other samples and health care settings, algorithms to capture toxicity could be useful in comparative and cost-effectiveness evaluations of community practice-delivered treatment.

Prevalence of women with early-stage breast cancer receiving active management using electronic health records from oncology clinics in the United States

The purpose of this study was to estimate the prevalence of women receiving treatment or active surveillance for stage I-III breast cancer in the United States from 2009 to 2012, stratified by patient age and tumor characteristics. In each study year, electronic medical records were used to identify women aged ≥18 years with stage I-III breast cancer and treated or under active surveillance (≥4 visits) at an oncology clinic that contributes data to the Oncology Services Comprehensive Electronic Records database. Prevalence was projected to the national level overall and within strata (by tumor characteristics, year of breast cancer diagnosis, and age). We identified 5,219 female breast cancer patients (18 % <age 50; 58 % <age 65) representing 787,082 (95 % CI 778,012-796,153) women in the US in 2012. At diagnosis, 44 % had stage I, 42 % stage II, and 14 % stage III disease; 69 % had estrogen receptor (ER) and progesterone receptor (PR) expression-positive tumors; 19 % were ER- and PR-negative; and 14 % had triple-negative phenotype (ER-, PR-, and HER2-negative). Overall 56 % of patients received treatment in 2012, 22 % chemotherapy, 8 % biologic therapy, and 36 % endocrine therapy. Treatment prevalence was higher among younger patients and at more advanced disease stages. Approximately half of women with ER-negative, PR-positive, HER2-negative, or triple-negative tumors received chemotherapy. As a conclusion, in 2012, approximately 800,000 women in the US were under treatment or active surveillance for early-stage breast cancer. Treatment prevalence differed by patient age, disease stage, and tumor histology.

Breast cancer treatment across health care systems: linking electronic medical records and state registry data to enable outcomes research

BACKGROUND

Understanding of cancer outcomes is limited by data fragmentation. In the current study, the authors analyzed the information yielded by integrating breast cancer data from 3 sources: electronic medical records (EMRs) from 2 health care systems and the state registry.

METHODS

Diagnostic test and treatment data were extracted from the EMRs of all patients with breast cancer treated between 2000 and 2010 in 2 independent California institutions: a community-based practice (Palo Alto Medical Foundation; "Community") and an academic medical center (Stanford University; "University"). The authors incorporated records from the population-based California Cancer Registry and then linked EMR-California Cancer Registry data sets of Community and University patients.

RESULTS

The authors initially identified 8210 University patients and 5770 Community patients; linked data sets revealed a 16% patient overlap, yielding 12,109 unique patients. The percentage of all Community patients, but not University patients, treated at both institutions increased with worsening cancer prognostic factors. Before linking the data sets, Community patients appeared to receive less intervention than University patients (mastectomy: 37.6% vs 43.2%; chemotherapy: 35% vs 41.7%; magnetic resonance imaging: 10% vs 29.3%; and genetic testing: 2.5% vs 9.2%). Linked Community and University data sets revealed that patients treated at both institutions received substantially more interventions (mastectomy: 55.8%; chemotherapy: 47.2%; magnetic resonance imaging: 38.9%; and genetic testing: 10.9% [P < .001 for each 3-way institutional comparison]).

CONCLUSIONS

Data linkage identified 16% of patients who were treated in 2 health care systems and who, despite comparable prognostic factors, received far more intensive treatment than others. By integrating complementary data from EMRs and population-based registries, a more comprehensive understanding of breast cancer care and factors that drive treatment use was obtained.

Assessing racial/ethnic disparities in chemotherapy treatment among breast cancer patients in context of changing treatment guidelines

Conflicting study results with regards to racial/ethnic disparities in chemotherapy use among breast cancer patients may be due to the different sample populations, treatment data sources, and treatment eligibility definitions used. This study examined chemotherapy disparity in the context of changing treatment guidelines and explored factors that may help explain treatment differences observed. The data come from a population-based study that included interview and medical record data (including state cancer registry) from non-Hispanic (nH) White, nH Black, and Hispanic breast cancer patients diagnosed in 2005-2008. Logistic regression using model-based standardization was used to estimate age-adjusted risk differences and multivariate analysis was conducted to identify explanatory factors of the differences. Per the 2005/2006 National Comprehensive Cancer Network (NCCN) guidelines, minority patients appeared more likely than nH White patients to receive a chemotherapy recommendation (0.87 vs 0.75, p = 0.003). When eligibility was determined per the 2007 guidelines, there was no disparity because under these guidelines, nH White patients were more likely than minority patients to have tumors that no longer required chemotherapy. There was evidence that chemotherapy advances for breast cancer patients are implemented in the clinical setting well ahead of NCCN guidelines. Finally, among eligible patients, chemotherapy recommendation was very high and virtually always accepted and received, with no disparities found at these points of clinical care. The findings suggest that an evaluation of guideline-adherent chemotherapy treatment patterns must carefully consider the definition of treatment eligibility, given ongoing changes in treatment guidelines and early uptake of new diagnostic tools and treatments.

The California Breast Cancer Survivorship Consortium (CBCSC): prognostic factors associated with racial/ethnic differences in breast cancer survival

Racial/ethnic disparities in mortality among US breast cancer patients are well documented. Our knowledge of the contribution of lifestyle factors to disease prognosis is based primarily on non-Latina Whites and is limited for Latina, African American, and Asian American women. To address this knowledge gap, the California Breast Cancer Survivorship Consortium (CBCSC) harmonized and pooled interview information (e.g., demographics, family history of breast cancer, parity, smoking, alcohol consumption) from six California-based breast cancer studies and assembled corresponding cancer registry data (clinical characteristics, mortality), resulting in 12,210 patients (6,501 non-Latina Whites, 2,060 African Americans, 2,032 Latinas, 1,505 Asian Americans, 112 other race/ethnicity) diagnosed with primary invasive breast cancer between 1993 and 2007. In total, 3,047 deaths (1,570 breast cancer specific) were observed with a mean (SD) follow-up of 8.3 (3.5) years. Cox proportional hazards regression models were fit to data to estimate hazards ratios (HRs) and 95 % confidence intervals (CIs) for overall and breast cancer-specific mortality. Compared with non-Latina Whites, the HR of breast cancer-specific mortality was 1.13 (95 % CI 0.97-1.33) for African Americans, 0.84 (95 % CI 0.70-1.00) for Latinas, and 0.60 (95 % CI 0.37-0.97) for Asian Americans after adjustment for age, tumor characteristics, and select lifestyle factors. The CBCSC represents a large and racially/ethnically diverse cohort of breast cancer patients from California. This cohort will enable analyses to jointly consider a variety of clinical, lifestyle, and contextual factors in attempting to explain the long-standing disparities in breast cancer outcomes.