Impact of delayed treatment in women diagnosed with breast cancer: A population-based study

Multigenic panels in breast cancer: Clinical utility and management of patients with pathogenic variants other than BRCA1/2

Multigene panels can analyze high and moderate/intermediate penetrance genes that predispose to breast cancer (BC), providing an opportunity to identify at-risk individuals within affected families. However, considering the complexity of different pathogenic variants and correlated clinical manifestations, a multidisciplinary team is needed to effectively manage BC. A classification of pathogenic variants included in multigene panels was presented in this narrative review to evaluate their clinical utility in BC. Clinical management was discussed for each category and focused on BC, including available evidence regarding the multidisciplinary and integrated management of patients with BC. The integration of both genetic testing and counseling is required for customized decisions in therapeutic strategies and preventative initiatives, as well as for a defined multidisciplinary approach, considering the continuous evolution of guidelines and research in the field.

The impact of inter-cycle treatment delays on 5-year all-cause mortality in early-stage breast cancer: A retrospective cohort study

BACKGROUND

Inter-cycle delays to chemotherapy are often required to manage drug toxicity. The impact of delays on mortality is poorly characterised. This retrospective cohort study examined the association of treatment delay with all-cause mortality in early-stage breast cancer.

METHODS

This real-world analytical study included adult women with stage 2 or 3 breast cancer receiving first-line (neo-)adjuvant chemotherapy between 01/01/2014 and 31/12/2015 in England. Inter-cycle delays > 7 days during the treatment period were calculated, and the association of treatment delay with 5-year all-cause mortality was investigated. Survival was compared between patients experiencing treatment delay and those completing treatment to schedule using landmark methodology and Kaplan-Meier (KM) estimator. Cox proportional hazards regression was used to investigate the impact of delay on survival, using inverse probability of treatment weighting to adjust for confounding variables.

RESULTS

8567 patients were included. 17 % (1448) experienced inter-cycle delay > 7 days during the treatment period. 1120 (13 %) women had died at the end of the 5-year follow up period. Median follow-up time was 5.5 years. Survival probability was significantly lower in patients experiencing treatment delay by KM estimator analysis (p < 0.0001). Cox proportional hazards regression demonstrated a significant positive association between delay and 5-year all-cause mortality (HR 1.33 95 % CI 1.12-1.61, p < 0.001).

CONCLUSIONS

This is the largest study of its kind demonstrating an association between treatment delay and all-cause mortality. These findings support interventions to improve toxicity management allowing completion of chemotherapy to schedule where patients experience treatment delay due to treatment-related toxicity or hospital capacity pressures.

Surgeon and Care Team Network Measures and Timely Breast Cancer Treatment

Importance

Cancer treatment delay is a recognized marker of worse outcomes. Timely treatment may be associated with physician patient-sharing network characteristics, yet this remains understudied.

Objective

To examine the associations of surgeon and care team patient-sharing network measures with breast cancer treatment delay.

Design, Setting, and Participants

This cross-sectional study of Medicare claims in a US population-based setting was conducted from 2017 to 2020. Eligible participants included patients with breast cancer who received surgery and the subset who went on to receive adjuvant therapy. Patient-sharing networks were constructed for treating physicians. Data were analyzed from September 2023 to February 2024.

Exposures

Surgeon linchpin score (a measure of local uniqueness or scarcity) and care density (a measure of physician team familiarity) were assessed. Surgeons were considered linchpins if their linchpin score was in the top 15%. The care density of a patient's physician team was calculated on preoperative teams for surgically-treated patients and postoperative teams for adjuvant therapy-receiving patients.

Main Outcomes and Measures

The primary outcomes were surgical and adjuvant delay, which were defined as greater than 60 days between biopsy and surgery and greater than 60 days between surgery and adjuvant therapy, respectively.

Results

The study cohort included 56 433 patients (18 004 aged 70-74 years [31.9%]) who were mostly from urban areas (44 931 patients [79.6%]). Among these patients, 8009 (14.2%) experienced surgical delay. Linchpin surgeon status (locally unique surgeon) was not statistically associated with surgical delay; however, patients with high preoperative care density (ie, high team familiarity) had lower odds of surgical delay compared with those with low preoperative care density (odds ratio [OR], 0.58; 95% CI, 0.53-0.63). Of the 29 458 patients who received adjuvant therapy after surgery, 5700 (19.3%) experienced adjuvant delay. Patients with a linchpin surgeon had greater odds of adjuvant delay compared with those with a nonlinchpin surgeon (OR, 1.30; 95% CI, 1.13-1.49). Compared with those with low postoperative care density, there were lower odds of adjuvant delay for patients with high postoperative care density (OR, 0.77; 95% CI, 0.69-0.87) and medium postoperative care density (OR, 0.85; 95% CI, 0.77-0.94).

Conclusions and Relevance

In this cross-sectional study of Medicare claims, network measures capturing physician scarcity and team familiarity were associated with timely treatment. These results may help guide system-level interventions to reduce cancer treatment delays.

Do Behavioral Characteristics Influence the Breast Cancer Diagnosis Delay? Evidence From French Retrospective Data

OBJECTIVES

This study aimed to analyze the behavioral determinants of breast cancer (BC) diagnosis delays in France. To do so, we investigated whether time discounting, risk tolerance, and personality traits influenced the BC diagnosis delay of patients.

METHODS

We used original retrospective data collected on 2 large online patient networks from 402 women diagnosed of BC. The BC diagnosis delay was measured by the difference between the date of diagnosis and the date of first symptoms. Time discounting and risk tolerance are measured with both self-reported questions and hypothetical lotteries. Personality traits are measured with the 10-item Big Five indicator. Ordinary least square and probit models were used to analyze whether these behavioral characteristics influenced the BC diagnosis delay.

RESULTS

Results showed that risk tolerance and time discounting were not significantly associated with the BC diagnosis delay. However, we found a longer diagnosis delay for women with a neuroticism personality trait (standardized coefficients ranged from 0.104 [P-value = .036] to 0.090 [P-value = .065]).

CONCLUSIONS

Overall, our findings underline the need for an increased consideration of cancer screening public health policy for women with mental vulnerabilities since such vulnerabilities were found to be highly correlated with a neuroticism personality trait.

Ethnic disparities in breast cancer patterns in Brazil: examining findings from population-based registries

PURPOSE

To investigate breast cancer (BC) incidence and mortality rates among specific racial groups in Brazil.

METHODS

BC incidence was evaluated from 2010 to 2015, using Brazilian Population-Based Cancer Registries, incorporating crude ratios and annual average percentage change (AAPC). Clinical and sociodemographic data from 2000 to 2019 were obtained from Hospital-Based Cancer Registries. Mortality data from 2000 to 2020 were sourced from the National Mortality Information System, comparing White women and Black women.

RESULTS

Across 13 Brazilian registries, 70,896 new BC cases were reported from 2010 to 2015. The median BC incidence rate was notably higher for White women (101.3 per 100,000) compared to Black women (59.7 per 100,000). In the general population, non-significant decrease in annual BC incidence was observed (AAPC = - 1.2; p = 0.474). Black women were more likely to live in underdeveloped areas, have lower education levels, live without a partner, and have higher alcohol consumption as compared to White women. A higher proportion of Black women received advanced-stage diagnoses (60.1% versus 50.6%, p < 0.001). BC-related mortality analysis showed 271,002 recorded deaths, with significant increase in BC-specific mortality rates in both racial groups. Black women displayed an AAPC of 2.3% (p < 0.001), while White women demonstrated a moderately elevated AAPC of 0.6% (p < 0.001).

CONCLUSION

This study underscores the need for targeted policies to address disparities in access to early detection and proper treatment, particularly for Black women in underprivileged regions, aiming to improve the survival rates of Brazilian women grappling with BC.

The Association Between Oncology Outreach and Timely Treatment for Rural Patients with Breast Cancer: A Claims-Based Approach

BACKGROUND

Oncology outreach is a common strategy for increasing rural access to cancer care, where traveling oncologists commute across healthcare settings to extend specialized care. Examining the extent to which physician outreach is associated with timely treatment for rural patients is critical for informing outreach strategies.

METHODS

We identified a 100% fee-for-service sample of incident breast cancer patients from 2015 to 2020 Medicare claims and apportioned them into surgery and adjuvant therapy cohorts based on treatment history. We defined an outreach visit as the provision of care by a traveling oncologist at a clinic outside of their primary hospital service area. We used hierarchical logistic regression to examine the associations between patient receipt of preoperative care at an outreach visit (preoperative outreach) and > 60-day surgical delay, and patient receipt of postoperative care at an outreach visit (postoperative outreach) and > 60-day adjuvant delay.

RESULTS

We identified 30,337 rural-residing patients who received breast cancer surgery, of whom 4071 (13.4%) experienced surgical delay. Among surgical patients, 14,501 received adjuvant therapy, of whom 2943 (20.3%) experienced adjuvant delay. In adjusted analysis, we found that patient receipt of preoperative outreach was associated with reduced odds of surgical delay (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.61-0.91); however, we found no association between patient receipt of postoperative outreach and adjuvant delay (OR 1.04, 95% CI 0.85-1.25).

CONCLUSIONS

Our findings indicate that preoperative outreach is protective against surgical delay. The traveling oncologists who enable such outreach may play an integral role in catalyzing the coordination and timeliness of patient-centered care.

Exercise Across the Phases of Cancer Survivorship: A Narrative Review

Exercise has long been recognized as an important component of treatment for various diseases. However, the benefits and risks of exercise interventions must be carefully evaluated to ensure the former outweighs the latter. As cancer patients undergo diverse treatment modalities with distinct objectives, a systematic approach partitioning the cancer journey into distinct phases is necessary to inform tailored exercise prescriptions. This narrative review summarizes exercise benefits and mechanisms for cancer patients and survivors across four distinct survivorship periods-before surgery, after surgery and before adjuvant treatment, during nonsurgical treatment (adjuvant and neoadjuvant), and during extended survival. In summary, exercise reduces the risks of complications and declines in physical functioning while improving fatigue, quality of life, and the ability to manage treatment effects. Although additional research is warranted, existing evidence is sufficient to integrate exercise into clinical oncology practice and cancer survivorship programs.

Breast density knowledge and willingness to delay treatment for pre-operative breast cancer imaging among women with a personal history of breast cancer

BACKGROUND

Following a breast cancer diagnosis, it is uncertain whether women's breast density knowledge influences their willingness to undergo pre-operative imaging to detect additional cancer in their breasts. We evaluated women's breast density knowledge and their willingness to delay treatment for pre-operative testing.

METHODS

We surveyed women identified in the Breast Cancer Surveillance Consortium aged ≥ 18 years, with first breast cancer diagnosed within the prior 6-18 months, who had at least one breast density measurement within the 5 years prior to their diagnosis. We assessed women's breast density knowledge and correlates of willingness to delay treatment for 6 or more weeks for pre-operative imaging via logistic regression.

RESULTS

Survey participation was 28.3% (969/3,430). Seventy-two percent (469/647) of women with dense and 11% (34/322) with non-dense breasts correctly knew their density (p < 0.001); 69% (665/969) of all women knew dense breasts make it harder to detect cancers on a mammogram; and 29% (285/969) were willing to delay treatment ≥ 6 weeks to undergo pre-operative imaging. Willingness to delay treatment did not differ by self-reported density (OR:0.99 for non-dense vs. dense; 95%CI: 0.50-1.96). Treatment with chemotherapy was associated with less willingness to delay treatment (OR:0.67; 95%CI: 0.46-0.96). Having previously delayed breast cancer treatment more than 3 months was associated with an increased willingness to delay treatment for pre-operative imaging (OR:2.18; 95%CI: 1.26-3.77).

CONCLUSIONS

Understanding of personal breast density was not associated with willingness to delay treatment 6 or more weeks for pre-operative imaging, but aspects of a woman's treatment experience were.

CLINICALTRIALS

GOV : NCT02980848 registered December 2, 2016.

Surgical Delay-Associated Mortality Risk Varies by Subtype in Loco-Regional Breast Cancer Patients in SEER-Medicare

Substantial evidence supports that delay of surgery after breast cancer diagnosis is associated with increased mortality risk, leading to the introduction of a new Commission on Cancer quality measure for receipt of surgery within 60 days of diagnosis for non-neoadjuvant patients. Breast cancer subtype is a critical prognostic factor and determines treatment options; however, it remains unknown whether surgical delay-associated breast cancer-specific mortality (BCSM) risk differs by subtype. This retrospective cohort study aimed to assess whether the impact of delayed surgery on survival varies by subtype (hormone [HR]+/HER2-, HR-/HER2-, and HER2+) in patients with loco-regional breast cancer who received surgery as their first treatment between 2010-2017 using the SEER-Medicare. Continuous time to surgery from diagnostic biopsy (TTS; days) in reference to TTS = 30 days. BCSM were evaluated as flexibly dependent on continuous time (days) to surgery from diagnosis (TTS) using Cox proportional hazards and Fine and Gray competing-risk regression models, respectively, by HR status. Inverse propensity score-weighting was used to adjust for demographic, clinical, and treatment variables impacting TTS. Adjusted BCSM risk grew with increasing TTS across all subtypes, however, the pattern and extent of the association varied. HR+/HER2- patients exhibited the most pronounced increase in BCSM risk associated with TTS, with approximately exponential growth after 42 days, with adjusted subdistribution hazard ratios (sHR) of 1.21 (95% CI: 1.06-1.37) at TTS = 60 days, 1.79 (95% CI: 1.40-2.29) at TTS = 90 days, and 2.83 (95% CI: 1.76-4.55) at TTS = 120 days. In contrast, both HER2 + and HR-/HER2- patients showed slower, approximately linear growth in sHR, although non-significant in HR-HER2-.

Invisible cancers: Seeing, knowing, enacting and proving cancers in Haiti

In Haiti, pathological confirmation of a cancer diagnosis is often delayed or impossible, imaging is expensive and imperfect, and many tests are unavailable. Physicians frequently struggle to establish cancers at a level of certainty required by "evidence based" standards, delaying definitive diagnosis and rendering some cancers permanently "suspected." I use 22 months of participant observation at the two largest cancer treatment programs in Haiti, as well as throughout Haiti's fragmented healthcare system, to look closely at processes of diagnosis and management of suspected 'cancers' which may never fully come to be. I argue that as global oncology becomes increasingly standardized, local practices are forced into alignment with a global knowledge basis that governs the knowability/unknowability of cancer. Using three case studies drawn from this work, I examine relationships among visibility, power, expertise and the replication of inequity through the governance of knowledge production. Finally, I examine the implications of these processes for cancer care in the global south.

Racial/ethnic disparities in the association between patient care experiences and receipt of initial surgical breast cancer care: findings from SEER-CAHPS

PURPOSE

We determined whether racial/ethnic differences in patient experiences with care influence timeliness and type of initial surgical breast cancer treatment for a sample of female Medicare cancer patients.

METHODS

We conducted a retrospective cohort study using the linked Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset. The outcomes were: (1) time-to-initial surgical treatment, and (2) type of treatment [breast conserving surgery (BCS) vs. mastectomy]. The indicators were reports of four types of patient experiences with care including doctor communication, getting care quickly, getting needed care, and getting needed Rx. Interaction terms in each multivariable logistic model examined if the associations varied by race/ethnicity.

RESULTS

Of the 2069 patients, 84.6% were White, 7.6% Black and 7.8% Hispanic. After adjusting for potential confounders, non-Hispanic Black patients who provided excellent reports of their ability to get needed prescriptions had lower odds of receiving surgery within 2-months of diagnosis, compared to NH-Whites who provided less than excellent reports (aOR: 0.29, 95% CI 0.09-0.98). There were no differences based on 1-month or 3-month thresholds. We found no other statistically significant effect of race/ethnicity. As to type of surgery, among NH Blacks, excellent reports of getting care quickly were associated with higher odds of receiving BCS versus mastectomy (aOR: 2.82, 95% CI 1.16-6.85) compared to NH Whites with less than excellent reports. We found no other statistically significant differences by race/ethnicity.

CONCLUSION

Experiences with care are measurable and modifiable factors that can be used to assess and improve aspects of patient-centered care. Improvements in patient care experiences of older adults with cancer, particularly among minorities, may help to eliminate racial/ethnic disparities in timeliness and type of surgical treatment.

Feasibility of monitoring Global Breast Cancer Initiative Framework key performance indicators in 21 Asian National Cancer Centers Alliance member countries

Background

The Global Breast Cancer Initiative (GBCI) Framework, launched by the World Health Organisation (WHO) in 2023, emphasises assessing, strengthening, and scaling up services for the early detection and management of breast cancer. This study aims to determine the feasibility of monitoring the status of breast cancer control in the 21 Asian National Cancer Centers Alliance (ANCCA) countries based on the three GBCI Framework key performance indicators (KPIs): stage at diagnosis, time to diagnosis, and treatment completion.

Methods

We reviewed published literature on breast cancer control among 21 ANCCA countries from May to July 2023 to establish data availability and compiled the latest descriptive statistics and sources of the indicators using a standardised data collection form. We performed bivariate Pearson's correlation analysis to measure the strength of correlation between stage at diagnosis, mortality and survival rates, and universal health coverage.

Findings

Only 12 (57%) ANCCA member countries published national cancer registry reports on breast cancer age-standardised incidence rate (ASIR) and age-standardised mortality rate (ASMR). Indonesia, Myanmar, and Nepal had provincial data and others relied on WHO's Global Cancer Observatory (GLOBOCAN) estimates. GLOBOCAN data differed from the reported national statistics by 5-10% in Bhutan, Indonesia, Iran, the Republic of Korea, Singapore, and Thailand and >10% in China, India, Malaysia, Mongolia, and Sri Lanka. The proportion of patients diagnosed in stages I and II strongly correlated with the five-year survival rate and with the universal health coverage (UHC) index. Three countries (14%) reported national data with >60% of invasive breast cancer patients diagnosed at stages I and II, and a five-year survival rate of >80%. Over 60% of the ANCCA countries had no published national data on breast cancer staging, the time interval from presentation to diagnosis, and diagnosis to treatment. Five (24%) countries reported data on treatment completion. The definition of delayed diagnosis and treatment completion varied across countries.

Interpretation

GBCI's Pillar 1 KPI correlates strongly with five-year survival rate and with the UHC index. Most ANCCA countries lacked national data on cancer staging, timely diagnosis, and treatment completion KPIs. While institutional-level data were available in some countries, they may not represent the nationwide status. Strengthening cancer surveillance is crucial for effective breast cancer control. The GBCI Framework indicators warrant more detailed definitions for standardised data collection. Surrogate indicators which are measurable and manageable in country-specific settings, could be considered for monitoring GBCI indicators. Ensuring UHC and addressing health inequalities are essential to early diagnosis and treatment of breast cancer.

Funding

Funding for this research article's processing fee (APC) will be provided by the affiliated institution to support the open-access publication of this work. The funding body is not involved in the study design; collection, management, analysis and interpretation of data; or the decision to submit for publication. The funding body will be informed of any planned publications, and documentation provided.

Association of Medicaid expansion with 2-year survival and time to treatment initiation in gastrointestinal cancer patients: A National Cancer Database study

INTRODUCTION

We evaluated whether Medicaid expansion (ME) was associated with improved 2-year survival and time to treatment initiation (TTI) among patients with gastrointestinal (GI) cancer.

METHODS

GI cancer patients diagnosed 40-64 years were queried from the National Cancer Database. Those diagnosed from 2010 to 2012 were considered pre-expansion; those diagnosed from 2014 to 2016 were considered post-expansion. Cox models estimated hazard ratios and 95% confidence intervals (CIs) for 2-year overall survival. Generalized estimating equations (GEE) estimated odds ratios (OR) and 95% CI of TTI within 30- and 90 days. Multivariable Difference-in-Difference models were used to compare expansion/nonexpansion cohorts pre-/post-expansion, adjusting for patient, clinical, and hospital factors.

RESULTS

377,063 patients were included. No significant difference in 2-year survival was demonstrated across ME and non-ME states overall or in site-based subgroup analysis. In stage-based subgroup analysis, 2-year survival significantly improved among stage II cancer, with an 8% decreased hazard of death at 2 years (0.92; 0.87-0.97). Those with stage IV had a 4% increased hazard of death at 2 years (1.04; 1.01-1.07). Multivariable GEE models showed increased TTI within 30 days (1.12; 1.09-1.16) and 90 days (1.22; 1.17-1.27). Site-based subgroup analyses indicated increased likelihood of TTI within 30 and 90 days among colon, liver, pancreas, rectum, and stomach cancers, by 30 days for small intestinal cancer, and by 90 days for esophageal cancer. In subgroup analyses, all stages experienced improved odds of TTI within 30 and 90 days.

CONCLUSION

ME was not associated with significant improvement in 2-year survival for those with GI cancer. Although TTI increased after ME for both cohorts, the 30- and 90-day odds of TTI was higher for those from ME compared with non-ME states. Our findings add to growing evidence of associations with ME for those diagnosed with GI cancer.

Impact of the COVID-19 Pandemic on Delays to Breast Cancer Surgery: Ripples or Waves?

BACKGROUND

Adherence to current recommendations for optimal time from diagnosis to treatment for patients with breast cancer may have been disrupted by the COVID-19 pandemic. This study aimed to evaluate the impact of the pandemic on time to surgery or systemic treatment with chemotherapy or immunotherapy for patients diagnosed with breast cancer.

METHODS

Using the National Cancer Database, patients diagnosed with breast cancer in 2020 were compared to those diagnosed from 2018-2019 (Pre-COVID). Sub-analyses were performed for patients who were tested for COVID-19 and those who had a positive result in 2020. Multivariate logistic regression was used assess odds ratios for delayed time to surgery (DTS, defined as > 90 days) or systemic therapy (defined as > 120 days).

RESULTS

In total, 230,997 patients were diagnosed with breast cancer in 2018 and 2019 compared to 102,065 in 2020. Of the 2020 cohort, 47,659 (46.7%) received COVID-19 testing; of which, 3,158 (6.6%) resulted positive. A larger proportion of COVID-tested or COVID-positive patients had higher stage at diagnosis. DTS was more likely for patients who were diagnosed in 2020, uninsured or underinsured, non-white, Hispanic, less educated, or age < 70 years. Similar factors were predictive of delay to systemic therapy (less age < 70 years); however, diagnosis in 2020 was not.

CONCLUSION

The COVID-19 pandemic was associated with significant DTS for breast cancer but spared time to systemic therapy. Delays disproportionately impacted vulnerable and underserved patient populations. The true clinical effects of these delays may yet be realized for breast cancer patients.

Determinants of Patient Delay among Women with Carcinoma Breast

OBJECTIVE

The aim of the study was to estimate the delay in seeking treatment among women with carcinoma of breast and determine the factors associated with delay.

METHODS

This was a hospital-based cross-sectional survey among 330 women attending the radiotherapy department of a tertiary care center in South India. Socio-clinical variables, duration of delay and reasons for the delay were collected by semi-structured interviews. Patient delay was assessed in categories of appraisal and illness time and system delay in diagnosis and treatment time. The probability of associated factors for the delay was estimated by logistic regression analysis.

RESULTS

The mean age of the patients was 54.7 yrs. 86.8% of participants had delays in seeking treatment. 33.5% had a presentation/patient-related delay with three months cut-off and 12.4% had a system delay with a one-month cut-off. In multivariate analysis, history of previous breast lump OR= 2.69 (95% CI 1.06-6.83), knowledge regarding breast cancer OR=3.96 (95% CI 1.37-11.42), referral hospital OR=4.91 (95% CI 1.66-14.57), type of medical doctor visited first OR=4.43(95% CI 2.06-9.53) and appraisal time OR=2.01(95% CI 1.06- 3.81) were statistically significant.

CONCLUSION

Patient delay is significant and there are preventable factors contributing to the delay in seeking treatment for breast cancer.

Waiting Time for Breast Cancer Treatment in Korea: A Nationwide Cohort Study

PURPOSE

This study aimed to analyze the waiting time for initial treatment after breast cancer diagnosis and determine the factors influencing treatment delay in South Korea.

METHODS

This nationwide retrospective cohort study was conducted using the Health Insurance Review and Assessment data. The participants were classified according to the regions where their biopsy and treatment were performed (Seoul-Seoul, Metro-Metro, Other-Other, Metro-Seoul, Other-Seoul). Waiting time was analyzed according to regional subgroup, year of diagnosis, and type of treatment. Multivariable logistic regression models were constructed to identify the factors associated with treatment delay (after 30 days of diagnosis).

RESULTS

A total of 133,514 participants newly diagnosed between January 2010 and December 2017 were included in the study. The median waiting time for initial treatment in the total population increased from 8 days, in 2010, to 14 days, in 2017. In the Seoul-Seoul group, the waiting time increased from 10 days, in 2010, to 16 days, in 2017. Although the median waiting time was approximately 10 days in the Metro-Metro and Other-Other groups, it was 27 and 24 days, in the Metro-Seoul and Other-Seoul group, respectively, in 2017. The proportion of delayed upfront surgery by more than 30 days was higher in the Metro-Seoul (odds ratio [OR], 8.088; 95% confidence interval [CI], 7.357-8.893; p < 0.001) and Other-Seoul (OR, 6.210; 95% CI, 5.717-6.750; p < 0.001) groups than in the Metro-Metro (OR, 1.468; 95% CI, 1.352-1.594; p < 0.001) and Other-Other (reference) groups. Previous medical history and treatment at tertiary hospital were observed as factors related to delayed surgery.

CONCLUSION

Waiting times for breast cancer surgery have increased across all regions of Korea, with those traveling to Seoul experiencing particularly long wait times.

Benefits versus drawbacks of delaying surgery due to additional consultations in older patients with breast cancer

BACKGROUND

Additional evaluations, including second opinions, before breast cancer surgery may improve care, but may cause detrimental treatment delays that could allow disease progression.

AIMS

We investigate the timing of surgical delays that are associated with survival benefits conferred by preoperative encounters versus the timing that are associated with potential harm.

METHODS AND RESULTS

We investigated survival outcomes of SEER Medicare patients with stage 1-3 breast cancer using propensity score-based weighting. We examined interactions between the number of preoperative evaluation components and time from biopsy to definitive surgery. Components include new patient visits, unique surgeons, medical oncologists, or radiation oncologists consulted, established patient encounters, biopsies, and imaging studies. We identified 116 050 cases of whom 99% were female and had an average age of 75.0 (SD = 6.2). We found that new patient visits have a protective association with respect to breast cancer mortality if they occur quickly after diagnosis with breast cancer mortality subdistribution Hazard Ratios [sHRs] = 0.87 (95% Confidence Interval [CI] 0.76-1.00) for 2, 0.71 (CI 0.55-0.92) for 3, and 0.63 (CI 0.37-1.07) for 4+ visits at minimal delay. New patient visits predict worsened mortality compared with no visits if the surgical delay is greater than 33 days (CI 14-53) for 2, 33 days (CI 17-49) for 3, and 44 days (CI 12-75) for 4+. Medical oncologist visits predict worse outcomes if the surgical delay is greater than 29 days (CI 20-39) for 1 and 38 days (CI 12-65) for 2+ visits. Similarly, surgeon encounters switch from a positive to a negative association if the surgical delay exceeds 29 days (CI 17-41) for 1 visit, but the positive estimate persists over time for 3+ surgeon visits.

CONCLUSION

Preoperative visits that cause substantial delays may be associated with increased mortality in older patients with breast cancer.

Fragmentation of Care and Its Association With Survival and Costs for Patients With Breast Cancer in Colombia

PURPOSE

Breast cancer care requires a multimodal approach and a multidisciplinary team who must work together to obtain good clinical results. The fragmentation of care can affect the breast cancer care; however, it has not been measured in a low-resource setting. The aim of this study was to identify fragmentation of care, the geographic variation of this and its association with 4-year overall survival (OS), and costs of care for patients with breast cancer enrolled in Colombia's contributory health care system.

MATERIALS AND METHODS

A retrospective cohort study was conducted using administrative databases. Women with breast cancer who were treated from January 1, 2013, to December 31, 2015, were included. Fragmentation of care was the exposure, which was measured by the number of different health care provider institutions (HCPIs) that treated a patient during the first year after diagnosis. Crude mortality rates were estimated, survival functions were calculated using the nonparametric Kaplan-Meier approach, and adjusted hazard ratios (HRs) were estimated using multivariate Cox regression model to identify the association of fragmentation with 4-year OS. The association between fragmentation and costs of care was assessed using a multivariate linear regression model.

RESULTS

A total of 10,999 patients with breast cancer were identified, and 1,332 deaths were observed. The 4-year crude mortality rate was 31.97 (95% CI, 30.25 to 33.69) per 1,000 person-years for the whole cohort, and the highest rate was in the cohort defined for the fourth quartile of the fragmentation measurement (eight or more HCPIs), 40.94 (95% CI, 36.49 to 45.39). The adjusted HR for 4-year OS was 1.04 (95% CI, 1.01 to 1.07) for each HCPI additional. The cost of care is increased for each additional HCPIs (cost ratio, 1.25; 95% CI, 1.23 to 1.26).

CONCLUSION

Fragmentation of care decreases overall 4-year OS and increases the costs of care in women with breast cancer for Colombia.

OPTIMAL Breast Cancer Care: Effect of an Outpatient Pharmacy Team to Improve Management and Adherence to Oral Cancer Treatment

PURPOSE

Since the approval of cyclin-dependent kinase 4/6 inhibitors in 2015, this oral cancer (OC) therapy has been combined with oral endocrine therapy as first-line treatment in metastatic hormone receptor-positive breast cancer, adding unique toxicity and complexity to the successful administration of this oral medication. Implementation of OC is challenging because of delays in treatment and nonadherence and is worse among vulnerable patient populations. Pharmacists may mitigate these barriers with facilitation of prior authorizations, communication with pharmacies, toxicity management, adherence counseling, and optimization of dosing schedules and regimens.

MATERIALS AND METHODS

We conducted a quality improvement project to decrease the average number of treatment day delays during the first six cycles of OC. Patients were enrolled on the OPTIMAL protocol, a high-touch pharmacy intervention incorporating pharmacists within outpatient oncology clinic visits with the providers. Pharmacists met with patients, identified individual barriers to treatment, and performed counseling including toxicity and adherence assessments.

RESULTS

A preintervention assessment identified an average treatment day delay of 7.7 (range, 3.2-15.3) days during the first six cycles of OC. During the intervention period, 53 patients were enrolled on the OPTIMAL protocol and experienced an average treatment day delay of 2.1 (0.6-4) days, P < .0001. Delays were characterized as modifiable and unmodifiable. Pharmacists documented 640 interventions, including medication reconciliations and clinical recommendations. Forty-two patients reported treatment-related toxicities, resulting in 33 therapy and 20 dose modifications.

CONCLUSION

Our initiative to incorporate pharmacists in clinic visits at an outpatient breast cancer clinic was associated with decreased treatment day delays during the first six cycles of treatment. Pharmacists performed a multitude of meaningful interventions to facilitate treatment in a particularly vulnerable population and play a valuable role in comanaging patients.

Patient-reported disruptions to cancer care during the COVID-19 pandemic: A national cross-sectional study

BACKGROUND

The aim of this study is to evaluate the extent and associations with patient-reported disruptions to cancer treatment and cancer-related care during the COVID-19 pandemic utilizing nationally representative data.

METHODS

This analysis uses data from the 2020 National Health Interview Survey (NHIS), an annual, cross-sectional survey of US adults. Adults (age >18) who reported requiring current cancer treatment or other cancer-related medical care in the second half of 2020 were included. Estimated proportions of patients with self-reported changes, delays, or cancelations to cancer treatment or other cancer care due to the COVID-19 pandemic were calculated using sampling weights and associations with sociodemographic and other health-related variables were analyzed.

RESULTS

In total, 574 (sample-weighted estimate of 2,867,326) adults reported requiring cancer treatment and/or other cancer care since the start of the COVID-19 pandemic. An estimated 32.1% reported any change, delay, or cancelation. On sample-weighted univariable analysis, patients who were younger, female, had one or fewer comorbidities, and uninsured were significantly more likely to report disruptions. On sample-weighted, multivariable analysis, patients who were younger and female remained significant predictors. Nearly 90% of patients included in the study reported virtual appointment use. Patients reporting disruptions were also significantly more likely to report feelings of anxiety.

CONCLUSIONS

An estimated 1/3 of patients experienced disruptions to cancer care due to the COVID-19 pandemic. Patients experiencing disruptions in care were more likely to be female or younger which may reflect risk stratification strategies in the early stages of the pandemic, and also had higher rates of anxiety. The longitudinal impact of these disruptions on outcomes merits further study.

The Current State of Timeliness in the Breast Cancer Diagnosis Journey: Abnormal Screening to Biopsy

There are several steps involved in a breast cancer diagnosis, starting from the initial abnormal screening mammogram. Each step from the additional imaging to a biopsy provokes anxiety. Timely attention to these appointments will not only help allay anxiety but also provide better care. While breast facilities routinely audit their performance, currently timeliness is not one of the audit parameters. The role of timeliness as a robust quality tool is gaining attention. In this study, we review the timeline of care at our facility over a 1-year period (October 2021- September 2022) and compare them with those reported by National Quality Measures for Breast Centers (NQMBC). Race, ethnicity, location, and type of facility affect the outcome of care and contribute to delays in providing care. In this manuscript, we outline some of the major factors. Societal guidelines outlining some metrics for timeliness may be a useful first step.

The delay of breast cancer diagnosis and management during the Syrian war

BACKGROUND

Early detection of breast cancer (BC) is crucial for better prognosis especially in low-income countries, where advanced cancer stages are common. The Syrian war severely affected the healthcare system restraining the proper timely management of BC cases. We aimed to investigate the prevalence of patient- and system-related delays in BC diagnosis and management in Syria in addition to their predisposing characteristics and impact on the staging.

METHODS

This is a cross-sectional retrospective cohort study on patients followed by the BC unit at Al-Bairouni main cancer center in Syria. The data were collected through personal interviews and retrospective revision of patients' records.

RESULTS

A total number of 519 patients were recruited; A quarter of them (n = 126) reported more than three months intervals between symptoms recognition and presentation to a physician. Additionally, 72 (13.9 %) patients received a confirmed diagnosis more than three months after presentation, and 12 (2.3 %) started treatment at least three months after the diagnosis. Patients who suffered from war-related inaccessibility to healthcare were 2.55 [1.58-4.11] times more likely to report significant delays. Additionally, the most common self-reported reasons for patient delay were the lack of awareness, which was more evident for less common symptoms like the change in breasts size, and shyness. Patients who reported significant delays were more likely to receive an advanced-stage diagnosis.

CONCLUSION

War-related inaccessibility to healthcare rendered a significant group of BC patient susceptible to evident delay. This combined with significant system delays because of the overwhelmed hospitals, high costs, and insufficient personnel, equipment, medications, and training. However, personal factors, which might not be directly related to the war, like the inadequate awareness of rare symptoms and shyness still necessitate urgent interventions on the public knowledge and performed screening practices. These delays associated with receiving advanced-stage diagnoses and minimizing them can return better prognoses.

Domestic medical travel from non-Seoul regions to Seoul for initial breast cancer treatment: a nationwide cohort study

Purpose

This study was conducted to investigate the trend of domestic medical travel from non-Seoul areas to Seoul for initial breast cancer treatment, and identify factors associated with medical travel in breast cancer patients.

Methods

A nationwide retrospective cohort study was performed using the Health Insurance Review and Assessment data of South Korea. Patients were classified according to the regions in which they underwent breast biopsy (Seoul vs. metropolitan cities vs. other regions). Frequencies of biopsy, diagnosis, treatment, and domestic medical travel were analyzed according to regions, and factors associated with medical travel were investigated.

Results

A total of 150,709 breast cancer survivors who were diagnosed between January 2010 and December 2017 were included. The total rate of medical travel from non-Seoul regions to Seoul had increased from 14.2% (1,161 of 8,150) in 2010 to 19.8% (2,762 of 13,964) in 2017. Approximately a quarter of patients from other regions traveled to Seoul, and over 40% of patients from Chungbuk, Gyeongbuk, and Jeju regions traveled to Seoul for initial treatment in 2017. The difference in the annual frequencies of upfront surgery between Seoul and non-Seoul regions increased over time. Younger age and regions other than metropolitan cities were significantly related to medical travel. Patients covered by medical aid or past medical histories were significantly less likely to travel to Seoul for initial breast cancer treatment.

Conclusion

Medical travel to Seoul for upfront breast cancer surgery is increasing. Policies for appropriate healthcare delivery need to be established in the near future.

Assurance of Timely Access to Breast Cancer Diagnosis and Treatment by a Regional Breast Health Clinic Serving Both Urban and Rural-Remote Communities

In response to breast cancer diagnostic regional wait times exceeding both national and provincial standards and to symptomatic patient referrals for diagnostic mammography taking longer than abnormal screening mammography referrals, the Rae Fawcett Breast Health Clinic (RFBHC) was opened in 2017 in a mid-sized Canadian hospital serving both urban and rural-remote communities. We investigated whether the RFBHC improved wait times to breast cancer diagnosis, improved compliance with national and provincial breast cancer standards, and decreased the wait time disparity associated with referral source. Statistical analyses of wait time differences were conducted between patients who were diagnosed with breast cancer prior to and after the RFBHC establishment. Study group compliance with national and provincial standards and wait time differences by referral source were also analysed. A survey was administered to assess overall patient experience with the RFBHC and clinic wait times. RFBHC patients had a shorter mean wait to breast cancer diagnosis (24.4 vs. 45.7 days, p ≤ 0.001) and a shorter mean wait to initial breast cancer treatment (49.1 vs. 78.9 days, p ≤ 0.001) than pre-RFBHC patients. After the RFBHC establishment, patients who attended the RFBHC had a shorter mean wait time to breast cancer diagnosis (24.4 vs. 36.9 days, p = 0.005) and to initial treatment (49.1 vs. 73.1 days, p ≤ 0.001) than patients who did not attend the clinic. Compliance with national and provincial breast cancer standards improved after the RFBHC establishment and the wait time disparity between screening mammography referrals and symptomatic patient referrals decreased. Survey results indicate that the RFBHC is meeting patient expectations. We concluded that the establishment of a breast health clinic in a Canadian center serving urban and rural-remote communities improved breast diagnostic services.

Outcomes of Nipple-sparing Mastectomy with Reconstruction after Recent Oncoplastic Wise-pattern Reduction

For patients with large and/or ptotic breasts, a planned staged approach to nipple-sparing mastectomy (NSM) has been described. Less is known about surgical outcomes of unplanned staged NSM for management of positive margins after partial mastectomy with oncoplastic reduction. It is not clear from earlier studies whether an interval of less than 10 weeks between oncoplastic reduction and NSM is feasible, when a shorter interval is important for oncologic reasons.

Methods

This is a single institution analysis of patients from 2018 to 2021 with a diagnosis of invasive cancer or ductal carcinoma in situ who underwent NSM after oncoplastic breast reduction for positive margins or nodes. The primary endpoint measured was nipple loss. Secondary outcomes were need for operative re-intervention and wound complications.

Results

Nine patients (14 breasts) underwent partial mastectomy with oncoplastic Wise-pattern breast reduction, followed by NSM. Three patients underwent intersurgery chemotherapy. The average interval between oncoplastic reduction and NSM was 11.3 weeks when excluding patients undergoing chemotherapy (range 8-13 weeks). Thirteen breasts (93%) underwent pre-pectoral direct-to-implant reconstruction. One breast (7%) received autologous reconstruction. One breast required reoperation for seroma. The rate of partial or total nipple loss was 0%, with an average follow-up of 1.6 years.

Conclusions

Our experience demonstrates excellent outcomes from NSM after oncoplastic breast reduction, with the majority of patients undergoing single-stage pectoral direct-to-implant breast reconstruction. Overall, patients had a shorter intersurgery interval, compared with prior studies, with no cases of nipple loss. An intersurgery interval of 8 weeks may be feasible when avoiding delays is important for oncologic reasons.

Survival outcomes following treatment delays among patients with early-stage female cancers: a nationwide study

BACKGROUND

The coronavirus disease 2019 (COVID-19) severely hindered the timely receipt of health care for patients with cancer, especially female patients. Depression and anxiety were more pronounced in female patients than their male counterparts with cancer during treatment wait-time intervals. Herein, investigating the impact of treatment delays on the survival outcomes of female patients with early-stage cancers can enhance the rational and precise clinical decisions of physicians.

METHODS

We analyzed five types of cancers in women from the Surveillance, Epidemiology, and End Results (SEER) program between Jan 2010 and Dec 2015. Univariate and multivariate Cox regression analyses were used to determine the impacts of treatment delays on the overall survival (OS) and cancer-specific survival (CSS) of the patients.

RESULTS

A total of 241,661 females with early-stage cancer were analyzed (12,617 cases of non-small cell lung cancer (NSCLC), 166,051 cases of infiltrating breast cancer, 31,096 cases of differentiated thyroid cancer, 23,550 cases of colorectal cancer, and 8347 cases of cervical cancer). Worse OS rates were observed in patients with treatment delays ≥ 3 months in stage I NSCLC (_adjustedHazard ratio (HR) = 1.11, 95% Confidence Interval (CI): 1.01-1.23, p = 0.044) and stage I infiltrating breast cancer (_adjustedHR = 1.23, 95% CI 1.11-1.37, p < 0.001). When the treatment delay intervals were analyzed as continuous variables, similar results were observed in patients with stage I NSCLC (_adjustedHR = 1.04, 95% CI 1.01-1.06, p = 0.010) and in those with stage I breast cancer (_adjustedHR = 1.03, 95% CI 1.00-1.06, p = 0.029). However, treatment delays did not reduce the OS of patients with differentiated thyroid cancer, cervical cancer, or colorectal cancer in the early-stage. Only intermediate treatment delays impaired the CSS of patients with cervical cancer in stage I (_adjustedHR = 1.31, 95% CI 1.02-1.68, p = 0.032).

CONCLUSION

After adjusting for confounders, the prolonged time from diagnosis to the initiation of treatment (< 6 months) showed limited negative effects on the survival of most of the patients with early-stage female cancers. Whether our findings serve as evidence supporting the treatment deferral decisions of clinicians for patients with different cancers in resource-limited situations needs further validation.

Prognostic factors and outcomes in women with breast cancer in Slovenia in relation to step-wise implementation of organized screening

INTRODUCTION

The aim of organized breast cancer screening is early detection and reduction in mortality. Organized screening should promote equal access and reduce socio-economic inequalities. In Slovenia, organized breast cancer screening achieved complete coverage in 11-years' time. We explored whether step-wise implementation reflects in prognostic factors (earlier diagnosis and treatment) and survival of breast cancer patients in our population.

METHODS

Using population-based cancer registry and screening registry data on breast cancer cases from 2008-2018, we compared stage distribution and mean time to surgical treatment in (A) women who underwent at least one mammography in the organized screening programme, women who received at least one invitation but did not undergo mammography and women who did not receive any screening invitation, and in (B) women who were invited to organized screening and those who were not. We also compared net survival by stage in different groups of women according to their screening programme status.

RESULTS

Women who underwent at least one mammography in organized screening had lower disease stage at diagnosis. Time-to-treatment analysis showed mean time to surgery was shortest in women not included in organized screening (all stages = 36.0 days vs. 40.3 days in women included in organized screening). This could be due to quality assurance protocols with an obligatory multidisciplinary approach within the organized screening vs. standard treatment pathways which can vary in different (smaller) hospitals. Higher standard of care in screening is reflected in better survival in women included in organized screening (5-years net survival for regional stage: at least one mammography in the screening programme- 96%; invitation, but no mammography- 87.4%; no invitation or mammography in the screening programme- 82.6%).

CONCLUSION

Our study, which is one of the first in central European countries, shows that introduction of organized screening has temporary effects on population cancer burden indicators already during roll-out period, which should therefore be as short as possible.

Disparities in timely treatment among young women with breast cancer

BACKGROUND

Although evidence suggests worse breast cancer-specific survival associated with treatment delay beyond 90 days, little is known regarding the sociodemographic predictors of delays in cancer-directed surgery among young women with breast cancer. This is particularly notable, given that 5-10% of new diagnoses occur in younger women aged <40 years, commonly with more aggressive features than in older women.

METHODS

We used the National Cancer Database (2004-2017) to assess sociodemographic disparities in delay of upfront surgery beyond 90 days among young women with non-metastatic breast cancer, using multivariable logistic regression and predictive marginal modeling.

RESULTS

Black women experienced treatment delays more frequently than white women (aOR: 1.93 [95% CI: 1.76-2.11], p < 0.001). Adjusted rates of treatment delay were 4.91% [95% CI: 4.51%-5.30%] and 2.60% [95% CI: 2.47%-2.74%] for Black and white women, respectively, and 2.97% [95% CI: 2.83%-3.12%], 2.36% [95% CI: 2.03%-2.68%], and 1.18% [95% CI: 0.54%-1.81%] for women from metro, urban, and rural areas, respectively.

CONCLUSION

These results suggest that improving access to timely treatment may be leveraged as a means through which to lessen the breast cancer disparities experienced by Black women.

Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III

PURPOSE

To describe breast cancer treatment patterns among premenopausal women by age and time since last pregnancy.

METHODS

Data were analyzed from 1179 women diagnosed with premenopausal breast cancer in the Carolina Breast Cancer Study. Of these, 160 had a recent pregnancy (within 5 years of cancer diagnosis). Relative frequency differences (RFDs) and 95% confidence intervals (CIs) were used to compare cancer stage, treatment modality received, treatment initiation delay (> 30 days), and prolonged treatment duration (> 2 to > 8 months depending on the treatment received) by age and recency of pregnancy.

RESULTS

Recently postpartum women were significantly more likely to have stage III disease [RFD (95% CI) 12.2% (3.6%, 20.8%)] and to receive more aggressive treatment compared to nulliparous women. After adjustment for age, race and standard clinical tumor characteristics, recently postpartum women were significantly less likely to have delayed treatment initiation [RFD (95% CI) - 11.2% (- 21.4%, - 1.0%)] and prolonged treatment duration [RFD (95% CI) - 17.5% (- 28.0%, - 7.1%)] and were more likely to have mastectomy [RFD (95% CI) 14.9% (4.8%, 25.0%)] compared to nulliparous. Similarly, younger women (< 40 years of age) were significantly less likely to experience prolonged treatment duration [RFD (95% CI) - 5.6% (- 11.1%, - 0.0%)] and more likely to undergo mastectomy [RFD (95% CI) 10.6% (5.2%, 16.0%)] compared to the study population as a whole.

CONCLUSION

These results suggest that recently postpartum and younger women often received prompt and aggressive breast cancer treatment. Higher mortality and recurrence among recently pregnant women are unlikely to be related to undertreatment.

Breast Cancer Care Timeliness Framework: A Quality Framework for Cancer Control

PURPOSE

The aim of this study is to determine the pathway that women follow for Breast Cancer Care (BCC) and the time intervals from symptom discovery to treatment initiation and to develop a quality matrix framework.

METHODS

A retrospective cohort study was conducted at six tertiary centers in Malaysia. All women with newly diagnosed breast cancer were interviewed, and a medical records review was conducted using a structured questionnaire. The BCC timeliness framework showed that the total time between a woman discovering their first breast changes and the date of initial treatment was divided into three distinct intervals: presentation interval, diagnostic interval, and treatment interval. Four diagnosis subintervals, referral, biopsy, report, and diagnosis resolution intervals, were also looked into.

RESULTS

The BCC timeliness framework was used to capture important time points. The median total time, presentation interval, diagnostic interval, and treatment interval were 4.9 months (range, 1 month to 10 years), 2.4 months (range, 7 days to 10 years), 26 days (range, 4 days to 9.3 months), and 21 days (range, 1 day to 7.2 months), respectively. Meanwhile, the median time for the diagnosis subinterval of referral, biopsy, report, and diagnosis resolution was 8 days (range, 0 day to 8 months), 0 day (range, 0 day to 20 days), 7 days (range, 3 days to 3.5 months), and 4 days (range, 1 day to 1.8 months), respectively.

CONCLUSION

The BCC timeliness framework is based on the current sequenced trajectory of the BCC journey. Clarity in the measurement of timeliness provides a standardized language for monitoring and outcome research. It can serve as a quality indicator for community and hospital-based breast cancer programs.

Diagnostic delay in moderately/poorly differentiated breast cancer types

BACKGROUND

Diagnostic delay of breast cancer related to the false-negative assessment of the healthcare provider leads to tumor progression and might worsen the outcome. Previous studies found some factors associated with provider-related diagnostic delay; however, tumor biology has tended not to be considered. The aim of our study was to find differences in diagnostic delay of poorly differentiated breast cancer types.

METHODS

Data of 970 patients with newly diagnosed moderately/poorly differentiated (G2/3) breast cancer at the age ≥40 years was retrospectively analyzed regarding breast cancer type, diagnostic delay and its consequence, clinical factors and physician's assessment. Multivariate analysis was used to evaluate associated factors with diagnostic delay.

RESULTS

We observed a diagnostic delay in 3.8% (n = 37) of all patients. Mean delay time was 128 days, and clinically relevant tumor growth was observed in 43.2% of these cases. Delay was significantly higher in the group of triple-negative breast cancer (9.9% versus 2.7, 5.3 and 1.8% in hormonal receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, HR-/Her2+ and HR+/Her2+, respectively; P value <0.001). Age, breast density and reason for presentation were not correlated to diagnostic delay.

CONCLUSION

Patients with triple-negative breast cancer are at higher risk of receiving a false-negative assessment and experiencing a diagnostic delay. Our results emphasize the importance of a detailed consideration of clinical risk factors and provider training and suggest a broad indication for a core needle biopsy.

Practical Consensus Recommendations for Optimizing Risk versus Benefit of Chemotherapy in Patients with HR Positive Her2 Negative Early Breast Cancer in India

Breast cancer is a public health challenge globally as well as in India. Improving outcome and cure requires appropriate biomarker testing to assign risk and plan treatment. Because it is documented that significant ethnic and geographical variations in biological and genetic features exist worldwide, such biomarkers need to be validated and approved by authorities in the region where these are intended to be used. The use of western guidelines, appropriate for the Caucasian population, can lead to inappropriate overtreatment or undertreatment in Asia and India. A virtual meeting of domain experts discussed the published literature, real-world practical experience, and results of opinion poll involving 185 oncologists treating breast cancer across 58 cities of India. They arrived at a practical consensus recommendation statement to guide community oncologists in the management of hormone positive (HR-positive) Her2-negative early breast cancer (EBC). India has a majority (about 50%) of breast cancer patients who are diagnosed in the premenopausal stage (less than 50 years of age). The only currently available predictive test for HR-positive Her2-negative EBC that has been validated in Indian patients is CanAssist Breast. If this test gives a score indicative of low risk (< 15.5), adjuvant chemotherapy will not increase the chance of metastasis-free survival and should not be given. This is applicable even during the ongoing COVID-19 pandemic.

The Utilization and Benefits of Telehealth Services by Health Care Professionals Managing Breast Cancer Patients during the COVID-19 Pandemic

Telehealth is the delivery of many health care services and technologies to individuals at different geographical areas and is categorized as asynchronously or synchronously. The coronavirus disease 2019 (COVID-19) pandemic has caused major disruptions in health care delivery to breast cancer (BCa) patients and there is increasing demand for telehealth services. Globally, telehealth has become an essential means of communication between patient and health care provider. The application of telehealth to the treatment of BCa patients is evolving and increasingly research has demonstrated its feasibility and effectiveness in improving clinical, psychological and social outcomes. Two areas of telehealth that have significantly grown in the past decade and particularly since the beginning of the COVID-19 pandemic are telerehabilitation and teleoncology. These two technological systems provide opportunities at every stage of the cancer care continuum for BCa patients. We conducted a literature review that examined the use of telehealth services via its various modes of delivery among BCa patients particularly in areas of screening, diagnosis, treatment modalities, as well as satisfaction among patients and health care professionals. The advantages of telehealth models of service and delivery challenges to patients in remote areas are discussed.

Delays in Care Associated With Non-English-Speaking Patients With Breast Cancer

BACKGROUND

Breast cancer care requires coordination between multiple diagnostic and treatment modalities. Disparities such as age, race/ethnicity, and socioeconomic status are associated with delays in care. This study investigates whether primary language is associated with delays in breast cancer diagnosis and treatment before and through radiotherapy (RT).

PATIENTS AND METHODS

This study was an institutional retrospective matched-cohort analysis of women treated with breast RT over 2 years. A total of 65 non-English-speaking (NES) patients were matched with 195 English-speaking (ES) patients according to stage, age, and chemotherapy delivery. Key time intervals along the breast cancer care path from initial findings through RT were recorded. Data were analyzed in a mixed model with matching as the random effect. The impact of race and insurance status was analyzed in addition to language.

RESULTS

Significant delays were found for NES patients, which varied by race. NES Latina patients experienced the longest delay, with a mean total care-path time of 13.53 months (from initial findings to end of RT) versus 8.18 months for all ES patients (P<.0001). Specifically, their mean total care-path time was 5.97 months longer than that of ES Latina patients (P=.001) and 5.80 months longer than that of ES White patients (P<.0001). In addition, NES Latina patients had a significantly longer total care-path time than NES patients of other races/ethnicities (P=.001). Delays were specifically seen between initial clinical or radiographic findings and diagnostic mammogram (P=.001) and between biopsy and resection (P=.044). Beyond language, race/ethnicity was itself associated with delays between resection and start of RT (P=.032) and between start and end of RT (P=.022).

CONCLUSIONS

Language is associated with pre-RT delays in breast cancer care, especially for NES Latina patients. Delays are most pronounced before diagnostic mammograms, but they also exist before resection and RT. Future work should target NES patients to assist their progress along the care path.

Psychosocial Impact of Cancer Care Disruptions in Women With Breast Cancer During the COVID-19 Pandemic

Background: The COVID-19 pandemic caused significant disruptions in cancer care, and preliminary research suggests that these disruptions are associated with increased levels of psychosocial distress among cancer survivors. The purpose of this study was to offer a descriptive report of the psychosocial functioning, perceived risk and fear of cancer progression, and COVID-19 pandemic impact and experiences in a unique, high-risk patient cohort: breast cancer survivors whose cancer treatment was delayed and/or changed due to the COVID-19 pandemic. Methods: This cross-sectional study included 50 women with dual carcinoma in situ, lobular carcinoma in situ, or invasive breast cancer whose cancer surgery was postponed due to the pandemic. As they awaited delayed surgery or shortly after they received delayed surgery, participants completed questionnaires on psychosocial functioning (depression, anxiety, sleep, and quality of life), their perceived risk and fear of cancer progression, patient-provider communication about disruptions in their care, personal impact of the pandemic, worry/threat about COVID-19, and COVID-19 symptoms/diagnoses. Descriptive statistics and bivariate correlations were computed among continuous study variables. Independent samples t-tests explored group differences in psychosocial functioning between survivors who were still awaiting delayed surgery and those who had recently received it. Results: Overall, the sample denied that the pandemic seriously negatively impacted their finances or resource access and reported low-to-moderate levels of psychosocial distress and fear about COVID-19. Twenty-six percent had clinically significant levels of fear of cancer progression, with levels comparable to other recent work. About a third were still awaiting delayed cancer surgery and this group reported lower satisfaction with communication from oncology providers but overall did not seem to report more psychosocial difficulties than those who already had surgery. Conclusion: Shortly before or after primary breast cancer surgery that was delayed due to the COVID-19 pandemic, this sample of survivors appears to be generally managing well psychosocially. However, many psychosocial difficulties (e.g., fear of cancer recurrence/progression) typically have an onset after the completion of treatment, therefore, research should continue to follow this cohort of cancer survivors as the pandemic's direct impact on their care likely increases their risk for these difficulties later in survivorship.

Diagnostic and Therapeutic Delays in Patients With Hepatocellular Carcinoma

BACKGROUND

Delays in diagnosis and treatment have been reported for many cancers, with resultant stage migration and worse survival; however, few data exist in patients with hepatocellular carcinoma (HCC). These data are of particular importance in light of the COVID-19 pandemic, which has caused disruptions in healthcare processes and may continue to impact cancer care for the foreseeable future. The aim of our study was to characterize the prevalence and clinical significance of diagnostic and treatment delays in patients with HCC.

METHODS

We performed a retrospective cohort study of consecutive patients diagnosed with HCC between January 2008 and July 2017 at 2 US health systems. Diagnostic and treatment delays were defined as >90 days between presentation and HCC diagnosis and between diagnosis and treatment, respectively. We used multivariable logistic regression to identify factors associated with diagnostic and treatment delays and Cox proportional hazard models to identify correlates of overall survival.

RESULTS

Of 925 patients with HCC, 39.0% were diagnosed via screening, 33.1% incidentally, and 27.9% symptomatically. Median time from presentation to diagnosis was 37 days (interquartile range, 18-94 days), with 120 patients (13.0%) experiencing diagnostic delays. Median time from HCC diagnosis to treatment was 46 days (interquartile range, 29-74 days), with 17.2% of patients experiencing treatment delays. Most (72.5%) diagnostic delays were related to provider-level factors (eg, monitoring indeterminate nodules), whereas nearly half (46.2%) of treatment delays were related to patient-related factors (eg, missed appointments). In multivariable analyses, treatment delays were not associated with increased mortality (hazard ratio, 0.90; 95% CI, 0.60-1.35); these results were consistent across subgroup analyses by Barcelona Clinic Liver Cancer stage and treatment modality.

CONCLUSIONS

Diagnostic and therapeutic delays exceeding 3 months are common in patients with HCC; however, observed treatment delays do not seem to significantly impact overall survival.

Identifying barriers to early presentation in patients with locally advanced breast cancer (LABC) in Northern Singapore: Qualitative study

INTRODUCTION

Breast cancer is the leading cause of death in Singaporean women, with advanced stage rendering a poorer prognosis. This study aims to explore the barriers to early presentation, information needs and sources in patients with locally advanced breast cancer (LABC).

MATERIALS & METHODS

A convenience sample of patients who presented with locally advanced breast cancer to the Department of General Surgery in a teaching tertiary hospital were recruited for the study. We conducted semi-structured interviews face to face with the recruited patients. We recorded the interviews, transcribed them verbatim and analysed using thematic content analysis.

RESULTS

Twenty-three participants were recruited of which 12 were Chinese and 11 were Malay women. Mean age was 60 years (± 13 SD). The most common knowledge barrier resulting in delay was the misconception that a breast lump must be painful to be malignant. Other knowledge barriers include the lack of knowledge and misinformation from the internet or other social media platforms. Some perceived barriers include fear of diagnosis, fear of treatment and fear of imposing financial burden on family members. A significant proportion of participants were also not aware of a national breast screening programme.

CONCLUSIONS

Our study has found that barriers to early presentation of women with locally advanced breast cancer remain similar and have persisted over the years despite targeted efforts. There is a need for a rethink of existing strategies and to develop new innovative ways to reach out to this group of patients.

The impact of common variables on non-attendance at a radiology centre in Singapore

INTRODUCTION

With the increasing demand for medical imaging, non-attendance inhibits private and public radiology practices in Singapore from providing timely care and achieving maximal efficiency. Missed radiological appointments adversely affect clinical and economic outcomes and strain the finite healthcare resources. We examined the prevalence and predictors of patient non-attendance for radiological services at a regional public hospital in Singapore and compared them against other medical imaging centres globally.

METHODS

Outpatient records of patients who were scheduled for specialised medical imaging obtained from Radiological Information System (RIS) were retrospectively reviewed. Analysed variables include patient demographics, radiology modalities, visit statuses and appointment lead times where Pearson's chi-square test and Fisher's exact test were used for categorical variables, and independent sample t-test was used for continuous variables. The association between each patient characteristic and non-attendance status was assessed using Binary Logistics Regression. Variables that showed statistical significance in univariate analysis were included in the multivariate logistic regression model to identify the independent risk factors associated with non-attendance.

RESULTS

Among the 59,748 outpatient appointments with medical imaging requests, 15.5% did not turn up for their appointments. Logistic regression indicated that patient's age, ethnicity, subsidy status, house ownership, living vicinity to regional hospital cluster, appointment wait times, appointment hours and appointment months were significant factors associated with the failure to attend scheduled radiological examinations.

CONCLUSION

Even though predictors of non-attendance remained consistent across medical imaging centres worldwide, Singapore reported a higher prevalence of missed appointments calling for future exploratory studies to understand the population's health-seeking behaviours and ordering patterns of clinicians.

IMPLICATIONS FOR PRACTICE

Comparison and identification of these predictors will assist in the design of targeted interventions that may improve patient's adherence and utilisation of imaging services.

Breast Cancer Mortality in Young Women in Brazil

Objective

Malignant breast cancer is the leading cause of death by cancer in young women. The study aimed to determine if breast cancer mortality among young women has increased between the period from 1996 to 2017 in Brazil.

Methods

A time-series analysis of breast cancer mortality rate in young women (20–39 years old) was carried out. Mortality data, from 1996 to 2017, were collected from the Mortality Information System of the Health Ministry, and demographic data, from the Brazilian Institute of Geography and Statistics. Trends in mortality were performed by Joinpoint Regression, the spatial distribution of the mortality rate was done with the QGIZ Software version 2.18, and Spearman’s correlation coefficient was used to correlate the mortality rates with the Human Development Index.

Results

There was an increase in breast cancer mortality rates in young women in the majority of Brazilian states, with an upward trend in all regions. The correlation with the Municipal Human Development Index, income, and education had a significant impact on the mortality rate for women from 30–39 years old in both time frames evaluated and for women from 20–29 years old, only from 1996 to 2000.

Conclusion

The data obtained in the study, showed that even though the breast cancer mortality rate of young women is lower than women over 40 years old, it has been increasing in all regions of Brazil, mostly for women from 30–39 years old, suggesting that this group should be included in screening programs.

A systematic review and meta-analysis of surgery delays and survival in breast, lung and colon cancers: Implication for surgical triage during the COVID-19 pandemic

Background

Thousands of cancer surgeries were delayed during the peak of the COVID-19 pandemic. This study examines if surgical delays impact survival for breast, lung and colon cancers.

Methods

PubMed/MEDLINE, EMBASE, Cochrane Library and Web of Science were searched. Articles evaluating the relationship between delays in surgery and overall survival (OS), disease-free survival (DFS) or cancer-specific survival (CSS) were included.

Results

Of the 14,422 articles screened, 25 were included in the review and 18 (totaling 2,533,355 patients) were pooled for meta-analyses. Delaying surgery for 12 weeks may decrease OS in breast (HR 1.46, 95%CI 1.28–1.65), lung (HR 1.04, 95%CI 1.02–1.06) and colon (HR 1.24, 95%CI 1.12–1.38) cancers. When breast cancers were analyzed by stage, OS was decreased in stages I (HR 1.27, 95%CI 1.16–1.40) and II (HR 1.13, 95%CI 1.02–1.24) but not in stage III (HR 1.20, 95%CI 0.94–1.53).

Conclusion

Delaying breast, lung and colon cancer surgeries during the COVID-19 pandemic may decrease survival.

•

Delaying cancer surgeries during the COVID-19 pandemic may impact survival.

•

Surgical delays of 12 weeks decreases survival in breast, lung and colon cancers.

•

Surgical delays worsen survival in stage I and II breast cancers but not stage III.

•

Triage recommendations for future waves of COVID-19 should consider this evidence.

Modeling the elective vascular surgery recovery after coronavirus disease 2019: Implications for moving forward

OBJECTIVE

The delays in elective surgery caused by the coronavirus disease 2019 (COVID-19) pandemic have resulted in a substantial backlog of cases. In the present study, we sought to determine the estimated time to recovery for vascular surgery procedures delayed by the COVID-19 pandemic in a regional health system.

METHODS

Using data from a 35-hospital regional vascular surgical collaborative consisting of all hospitals performing vascular surgery in the state of Michigan, we estimated the number of delayed surgical cases for adults undergoing carotid endarterectomy, carotid stenting, endovascular and open abdominal aortic aneurysm repair, and lower extremity bypass. We used seasonal autoregressive integrated moving average models to predict the surgical volume in the absence of the COVID-19 pandemic and historical data to predict the elective surgical recovery time.

RESULTS

The median statewide monthly vascular surgical volume for the study period was 439 procedures, with a maximum statewide monthly case volume of 519 procedures. For the month of April 2020, the elective vascular surgery procedural volume decreased by ∼90%. Significant variability was seen in the estimated hospital capacity and estimated number of backlogged cases, with the recovery of elective cases estimated to require ∼8 months. If hospitals across the collaborative were to share the burden of backlogged cases, the recovery could be shortened to ∼3 months.

CONCLUSIONS

In the present study of vascular surgical volume in a regional health collaborative, elective surgical procedures decreased by 90%, resulting in a backlog of >700 cases. The recovery time if all hospitals in the collaborative were to share the burden of backlogged cases would be reduced from 8 months to 3 months, underscoring the necessity of regional and statewide policies to minimize patient harm by delays in recovery for elective surgery.

Implementation of breast cancer continuum of care in low- and middle-income countries during the COVID-19 pandemic

Breast cancer is the most common malignancy among women worldwide. The current COVID-19 pandemic represents an unprecedented challenge leading to care disruption, which is more severe in low- and middle-income countries (LMIC) due to existing economic obstacles. This review presents the global perspective and preparedness plans for breast cancer continuum of care amid the COVID-19 outbreak and discusses challenges faced by LMIC in implementing these strategies. Prioritization and triage of breast cancer patients in a multidisciplinary team setting are of paramount importance. Deescalation of systemic and radiation therapy can be utilized safely in selected clinical scenarios. The presence of a framework and resource-adapted recommendations exploiting available evidence-based data with judicious personalized use of current resources is essential for breast cancer care in LMIC during the COVID-19 pandemic.

Health care seeking due to COVID-19 related symptoms and health care cancellations among older Brazilian adults: the ELSI-COVID-19 initiative

The continent of the Americas has the greatest number of people infected and deaths associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the world. Brazil occupies the 2nd position in numbers of infected cases and deaths, preceded only by the United States. Older adults and those with pre-existing chronic illnesses are more vulnerable to the consequences of the virus. The SARS-CoV-2 epidemic has serious consequences for health services. Therefore, an assessment of the pandemic's effect on the older Brazilian population is urgently needed. The study examines the prevalence of COVID-19 related symptoms, care-seeking, and cancellation of surgery or other scheduled medical care among a nationally representative sample of Brazilians aged 50 and over derived from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) and a telephone follow-up survey (the ELSI-COVID-19 initiative) between late May and early June 2020. About 10.4% of older adults reported any fever, dry cough or difficulty breathing in the 30 days prior to the interview, with the highest prevalence in the North region (50%). Among individuals with symptoms, only 33.6% sought care. Individuals living in the South or Southeast regions were significantly less likely to seek care for COVID-19 related symptoms. Nearly one in six participants had to cancel scheduled surgery or other medical care; this proportion was higher among women, those with more education, and people with multiple chronic conditions. This paper is among the first to investigate the effect of COVID-19 on health care use in Brazil among older adults. Results highlight the need to adapt health care delivery (such as through telemedicine) to ensure the continuity of care as well as the urgent need for wide dissemination of information to guide the population on disease prevention measures and how to obtain healthcare when needed.

COVID's Impact on Radiation Oncology: A Latin American Survey Study

PURPOSE

The impact of the COVID-19 pandemic on Latin American radiation therapy services has not yet been widely assessed. In comparison to centers in Europe or the United States, the scarcity of data on these terms might impair design of adequate measures to ameliorate the pandemic's potential damage. The first survey-based analysis revealing regional information is herein presented.

METHODS AND MATERIALS

From May 6 to May 30, 2020, the American Society for Radiation Oncology's COVID-19 Survey was distributed across Latin America with support of the local national radiation therapy societies. Twenty-six items, including facility demographic and financial characteristics, personnel and patient features, current and expected impact of the pandemic, and research perspectives, were included in the questionnaire.

RESULTS

Complete responses were obtained from 115 (50%) of 229 practices across 15 countries. Only 2.6% of centers closed during the pandemic. A median of 4 radiation oncologists (1-27) and 9 (1-100) radiation therapists were reported per center. The median number of new patients treated in 2019 was 600 (24-6200). A median 8% (1%-90%) decrease in patient volume was reported, with a median of 53 patients (1-490) remaining under treatment. Estimated revenue reduction was 20% or more in 53% of cases. Shortage of personal protective equipment was reported in 51.3% of centers, and 27% reported personnel shortage due to COVID-19. Reported delays in treatment for low-risk entities included early stage breast cancer (42.6%), low-risk status prostate cancer (67%), and nonmalignant conditions (42.6%). Treatment of COVID-19 patients at designated treatment times and differentiated bunkers were reported in 22.6% and 10.4% of centers, respectively. Telehealth initiatives have been started in 64.3% of facilities to date for on-treatment (29.6%) and posttreatment (34.8%) patients.

CONCLUSIONS

Regional information regarding COVID-19 pandemic in Latin America may help elucidate suitable intervention strategies for personnel and patients. Follow-up surveys will be performed to provide dynamic monitoring the pandemic's impact on radiation therapy services and adoption of ameliorating measures.

Impact of delayed treatment in women diagnosed with breast cancer: A population-based study

The impact of timely treatment on breast cancer‐specific survival may differ by tumor stage. We aim to study the impact of delayed first treatment on overall survival across different tumor stages. In addition, we studied the impact of delayed adjuvant treatments on survival in patients with invasive nonmetastatic breast cancer who had surgery ≤90 days postdiagnosis. This population‐based study includes 11 175 breast cancer patients, of whom, 2318 (20.7%) died (median overall survival = 7.9 years). To study the impact of delayed treatment on survival, hazard ratios and corresponding 95% confidence intervals were estimated using Cox proportional‐hazards models. The highest proportion of delayed first treatment (>30 days postdiagnosis) was in patients with noninvasive breast cancer (61%), followed by metastatic breast cancer (50%) and invasive nonmetastatic breast cancer (22%). Delayed first treatment (>90 vs ≤30 days postdiagnosis) was associated with worse overall survival in patients with invasive nonmetastatic (HR: 2.25, 95% CI 1.55‐3.28) and metastatic (HR: 2.09, 95% CI 1.66‐2.64) breast cancer. Delayed adjuvant treatment (>90 vs 31‐60 days postsurgery) was associated with worse survival in patients with invasive nonmetastatic (HR: 1.50, 95% CI 1.29‐1.74). Results for the Cox proportional‐hazards models were similar for breast cancer‐specific death. A longer time to first treatment (31‐90 days postdiagnosis) may be viable for more extensive diagnostic workup and patient‐doctor decision‐making process, without compromising survival. However, patients’ preference and anxiety status need to be considered.