Time-to-surgery and overall survival after breast cancer diagnosis in a universal health system

Longitudinal Increases in Time to Surgery for Patients with Breast Cancer: A National Cohort Study

BACKGROUND

Longer time to surgery (TTS) is associated with worse survival in patients with breast cancer. Whether this association has encouraged more prompt care delivery remains unknown.

METHODS

The National Cancer Database was used to identify patients ≥18 years of age diagnosed with clinical stage 0-III breast cancer between 2006 and 2019 for whom surgery was the first mode of treatment. A linear-by-linear test for trend assessed median TTS across the interval. Adjusted linear regression modeling was used to examine TTS trends across patient subgroups.

RESULTS

Overall, 1,435,584 patients met the inclusion criteria. The median age was 63 years (interquartile range [IQR] 53-72), 84.3% of patients were White, 91.1% were non-Hispanic, and 99.2% were female. The median TTS in 2006 was 26 days (IQR 16-39) versus 39 days in 2019 (IQR 27-56) [p < 0.001]. In a multivariable linear regression model, TTS increased significantly, with an annual increase of 0.83 days (95% confidence interval 0.82-0.85; p < 0.001). A consistent, significant increase in TTS was observed on subgroup analyses by surgery type, reconstruction, patient race, hospital type, and disease stage. Black race, Hispanic ethnicity, and having either Medicaid or being uninsured were significantly associated with prolonged TTS, as were mastectomy and reconstructive surgery.

CONCLUSIONS

Despite evidence that longer TTS is associated with poorer outcomes in patients with breast cancer, TTS has steadily increased, which may be particularly detrimental to marginalized patients. Further studies are needed to ensure the delivery of timely care to all patients.

Fragmentation of care in breast cancer: greater than the sum of its parts

INTRODUCTION

Fragmentation of care (FC, the receipt of care at > 1 institution) has been shown to negatively impact cancer outcomes. Given the multimodal nature of breast cancer treatment, we sought to identify factors associated with FC and its effects on survival of breast cancer patients.

METHODS

A retrospective analysis was performed of surgically treated, stage I-III breast cancer patients in the 2004-2020 National Cancer Database, excluding neoadjuvant therapy recipients. Patients were stratified into two groups: FC or non-FC care. Treatment delay was defined as definitive surgery > 60 days after diagnosis. Multivariable logistic regression was performed to identify factors predictive of FC, and survival was compared using Kaplan-Meier and multivariable Cox proportional hazards methods.

RESULTS

Of the 531,644 patients identified, 340,297 (64.0%) received FC. After adjustment, FC (OR 1.27, 95% CI 1.25-1.29) was independently associated with treatment delay. Factors predictive of FC included Hispanic ethnicity (OR 1.04, 95% CI: 1.01-1.07), treatment at comprehensive community cancer programs (OR 1.06, 95% CI: 1.03-1.08) and integrated network cancer programs (OR 1.55, 95% CI: 1.51-1.59), AJCC stage II (OR 1.06, 95% CI 1.05-1.07) and stage III tumors (OR 1.06, 95% CI: 1.02-1.10), and HR + /HER2 + tumors (OR 1.05, 95% CI: 1.02-1.07). Treatment delay was independently associated with increased risk of mortality (HR 1.23, 95% CI 1.20-1.26), whereas FC (HR 0.87, 95% CI 0.86-0.88) showed survival benefit.

CONCLUSIONS

While treatment delay negatively impacts survival in breast cancer patients, our findings suggest FC could be a marker for multispecialty care that may mitigate some of these effects.

Factors Influencing Time From Diagnosis to Treatment of Breast Cancer and the Impact of Longer Waiting Time on Survival in Kathmandu Valley, Nepal: A Population-Based Study

PURPOSE

Longer time between breast cancer (BC) diagnosis and treatment initiation is associated with poorer survival, and this may be a factor behind disparities in global survival rates. We assessed time to BC treatment in the Kathmandu Valley, Nepal, including factors associated with longer waiting times and their impact on survival.

METHODS

We conducted a retrospective population-based study of BC cases recorded in the Kathmandu Valley Population-Based Cancer Registry between 2018 and 2019. Fieldwork survey through telephone was undertaken to collect additional sociodemographic and clinical information. Logistic regression was performed to identify factors associated with longer time to treatment, and Kaplan-Meier and Cox proportional hazard regression was used to examine survival time and evaluate the association between longer time to treatment and survival.

RESULTS

Among the 385 patients with BC, one third waited >4 weeks from diagnosis to initial treatment. Lower education was associated with longer time to treatment (adjusted odds ratio, 1.63 [95% CI, 1.03 to 2.60]). The overall 3-year survival rate was 88.6% and survival was not associated with time to treatment (P = .50). However, advanced stage at diagnosis was associated with poorer survival (adjusted hazard ratio, 4.09 [95% CI, 1.27 to 13.23]). There was some indication that longer time to treatment was associated with poorer survival for advanced-stage patients, but data quality limited that analysis.

CONCLUSION

In the Kathmandu Valley, Nepal, women with a lower education tend to wait longer from BC diagnosis to treatment. Patients with advanced-stage BC had poorer survival, and longer waiting time may be associated with poorer survival for women diagnosed with advanced-stage disease.

Impact of the COVID-19 pandemic on cancer screenings in Portugal

OBJECTIVES

This study aimed to evaluate the impact of the COVID-19 pandemic on cancer screening in Portugal, and its consequences on cancer morbidity and mortality.

METHODS

The pre-pandemic and pandemic periods were compared using publicly available data on performance and health outcomes indicators of the Portuguese NHS, namely the numbers and proportions of eligible individuals who underwent cancer screening (breast, cervical or colorectal). Pre-pandemic data were modelled to project hypothetical scenarios without a pandemic using an exponential smoothing algorithm, and then compared with data collected during the COVID-19 pandemic. A Markov model was developed to estimate years of life lost (YLL) due the reduction in the number of cancer screenings during the pandemic. The MS Excel and the PRISM symbolic model checker software were used.

RESULTS

There was a decrease in the number of breast (13 %), cervical (15 %) and colorectal (9-11 %) cancers screenings during the first two years of the pandemic. The model projections are 506, 41, and 148 additional deaths, losses of 11, 6, and 4 months of life per patient, and 12.8 thousand, 576, and 4 thousand YLL by the population due to breast, cervical, and colorectal cancer, respectively, over a 25-year time horizon in Portugal.

CONCLUSIONS

The disruption in cancer screening may contribute to increase cancer morbidity and mortality, with significant YLL. The long-term implications of the impaired cancer screening should be assessed, and proactive measures put in place to mitigate the increase in cancer morbidity, and mortality associated with the COVID-19 pandemic.

Mediators of racial disparities in postoperative outcomes among patients undergoing complex surgery

BACKGROUND

This study sought to quantify the direct and indirect effects of race on postoperative outcomes after complex surgery.

METHODS

Medicare patients who underwent abdominal aortic aneurysm (AAA) repair, coronary artery bypass grafting (CABG), lung resection or colectomy were identified (2014-2018). Generalized structural equation modelling was utilized to quantify the direct and indirect effects of race on Textbook outcome (TO).

RESULTS

Among 930,033 patients, 46.8% of patients achieved a TO, with Black patients less likely to achieve a TO (referent: White; Black: OR 0.72, 95% CI 0.70-0.73). Notably, 32.3% of the disparities in TO were attributable to race itself, while 67.7% was explained by other factors. Specifically, residential segregation accounted for 39.4% of the lower TO rates among Black patients, while 21.0% was attributable to a high comorbidity burden.

CONCLUSIONS

These data highlight the need to target structural racism as a policy priority to promote a more equitable healthcare system.

Breast cancer time to treatment in Martinique: predictive factors and effect on survival

BACKGROUND

Martinique is the second French Region with the lowest physician-to-population ratio, which may affect waiting times for access to care.

OBJECTIVES

To assess (i) factors influencing waiting times from diagnosis to cancer-related treatments in breast cancer women in Martinique, and (ii) the impact of waiting times on patients' survival.

STUDY DESIGN

Retrospective observational study.

METHODS

Data on women diagnosed with invasive breast cancer between 1st January 2013 and 31st December 2017 and initially treated by surgery were extracted from the Martinique population-based registry. A cox model was performed to find predictive factors for waiting times. A log-rank test was used to compare time-to-treatment between groups.

RESULTS

In total, 713 patients were included (mean age: 58 ± 13). Median time from diagnosis to surgery was 40 [25-60] days. Age at diagnosis was found to predict variations in waiting times. Patients > 75 had longer waiting time to surgery than those < 40 or [40-50] (P = 0.016 and P < 0.001, respectively). Women with a time-to-treatment ≥ 4 months had a significant lower survival (P < 0.01).

CONCLUSIONS

Specific interventions are needed to improve waiting time from diagnosis to initial treatment, as they are longer than recommended and affect survival time.

MilCanEpi: Increased Capability for Cancer Care Research in the Department of Defense

The Military Health System (MHS) of the US Department of Defense (DoD) provides comprehensive medical care to over nine million beneficiaries, including active-duty members, reservists, activated National Guard, military retirees, and their family members. The MHS generates an extensive database containing administrative claims and medical encounter data, while the DoD also maintains a cancer registry that collects information about the occurrence of cancer among its beneficiaries who receive care at military treatment facilities. Collating data from the two sources diminishes the limitations of using registry or medical claims data alone for cancer research and extends their usage. To facilitate cancer research using the unique military health resources, a computer interface linking the two databases has been developed, called Military Cancer Epidemiology, or MilCanEpi. The intent of this article is to provide an overview of the MilCanEpi data system, describing its components, structure, potential uses, and limitations.

Breast Cancer Management Timelines in a Tertiary Care Center During the COVID-19 Pandemic, Makkah City, Saudi Arabia: A Retrospective Study

BACKGROUND

Breast cancer (BC) is a prevalent form of cancer and a leading cause of death among women worldwide. In Saudi Arabia, it accounted for 31.8% among females of all new cancer cases reported in 2018. Following the declaration of COVID-19 as a global pandemic, there was a complete redistribution of healthcare resources to face this crisis, which caused a significant delay in the management of various diseases, including BC. There is currently a lack of research in our region on the facility time interval in BC management. Therefore, this study aimed to fill this gap by determining the timelines of diagnosis, management, and factors influencing the delay.

METHODS

This observational retrospective study included all female patients diagnosed with BC at or referred to King Abdullah Medical City (KAMC) in Makkah, Saudi Arabia, between January 2020 and August 2021. The data for this study were obtained from a centralized electronic chart review of all included patients at the KAMC center.

RESULTS

A total of 76 patients were included in the study, with a mean age of 50 ± 11 years. In terms of the disease management duration, 20 patients (26.3%) completed their management within 30 days, 28 patients (36.8%) had a management duration between 31 and 60 days, and the management duration of 28 patients (36.8%) exceeded 60 days. Patient deposition showed a significant association with delay (p = 0.033). A higher incidence of delays at the initiation of treatment was observed in patients who failed to attend appointments (p < 0.001). Among patients who skipped two or more appointments, 12 individuals (80%) experienced a delay of more than 60 days. Moreover, appointment cancellation was associated with delayed treatment initiation (p = 0.03). Patients' age and comorbidity showed no significant association (p = 0.49, p = 0.24, respectively).

CONCLUSION

Our findings highlight the significant impact of patient deposition and canceled or skipped appointments on delayed initiation of therapy for BC patients. Further research should be conducted to evaluate the impact of COVID-19 on other malignancies.

Time interval between breast cancer diagnosis and surgery is associated with disease outcome

Time interval between breast cancer (BC) diagnosis and surgery is of concern to patients and clinicians, but its impact on survival remains unclear. We identified 5130 BC patients receiving surgery between 2009 and 2017 from the Shanghai Jiaotong University Breast Cancer Database (SJTU-BCDB), and divided as Ruijin cohort and SJTU cohort. All participants were divided into three groups according to the interval between diagnosis and surgery: ≤ 1 week, 1-2 weeks, and > 2 weeks. Among 3144 patients of Ruijin cohort, the estimated 5-year breast cancer-free interval (BCFI) rates for the ≤ 1 week, 1-2 weeks and > 2 weeks groups were 91.8%, 87.5%, and 84.0% (P = 0.088), and the estimated 5-year overall survival (OS) rates were 95.6%, 89.6%, and 91.5% (P = 0.002). Multivariate analysis showed that patients with a TTS > 2 weeks had significantly lower BCFI (HR = 1.80, 95%CI 1.05-3.11, P = 0.034) and OS (HR = 2.07, 95% CI 1.04-4.13, P = 0.038) rates than patients with a TTS ≤ 1 week. Among 5130 patients when combining Ruijin cohort with SJTU cohort, the estimated 5-year BCFI rates for the ≤ 1 week, 1-2 weeks, and > 2 weeks groups were 91.0%, 87.9%, and 78.9%, and the estimated 5-year OS rates for the ≤ 1 week, 1-2 weeks, and > 2 weeks groups were 95.8%, 90.6%, and 91.5%, both with a significantly p value < 0.001. Our findings demonstrated the prolonged time to surgery (more than 2 weeks) after BC diagnosis was associated with poor disease outcomes, suggesting that efforts to early initiate treatment after diagnosis need to be pursued where possible to improve survival.

Delays in Initiating Anti-Cancer Therapy for Early-Stage Breast Cancer-How Slow Can We Go?

Breast cancer is the most commonly diagnosed cancer among women worldwide, and is a leading cause of cancer-related deaths. When diagnosed at an early stage, appropriate and timely treatment results in a high cure rate and better quality of life. Delays in initiating anti-cancer therapy, including surgical resection, adjuvant/neoadjuvant chemotherapy and radiation therapy are commonly encountered, even in developed health care systems. Existing comorbidities that mandate referral to other services, genetic counseling and testing that may dictate the extent and type of anti-cancer therapy and insurance coverage, are among the most commonly cited factors. However, delays can be unavoidable; for over three years, health care systems across the globe were busy dealing with the unprecedented COVID-19 pandemic. War across hot zones around the globe resulted in millions of refugees; most of them have no access to cancer care, and when/where available, there may be significant delays. Thus, cancer patients across the globe will probably continue to suffer from significant delays in diagnosis and appropriate treatment. Many retrospective reports showed significant negative impacts on different aspects of treatment outcomes and on patients' psychosocial wellbeing and productivity. In this paper, we review the available data on the impact of delays in initiating appropriate treatment on the outcomes of patients with early-stage breast cancer.

Increased breast cancer mortality due to treatment delay and needle biopsy type: a retrospective analysis of SEER-medicare

BACKGROUND

Substantial evidence indicates that delay of first treatment after diagnosis is associated with poorer survival outcomes in breast cancer. Accordingly, the Commission on Cancer introduced a quality measure for receipt of therapeutic surgery within 60 days of diagnostic biopsy for stage I-III breast cancer patients in the non-neoadjuvant setting. It is unknown, however, what may contribute to mortality associated with treatment delay. Therefore, we investigated whether biopsy type moderates the effect of the mortality risk posed by treatment delay.

METHODS

Retrospective analysis of 31,306 women with stage I-III breast cancer diagnosed between 2003 and 2013 selected from the SEER-Medicare database was performed to determine whether needle biopsy type [core needle biopsy (CNB) or vacuum-assisted biopsy (VAB)] impacts time to treatment (TTT)-associated survival outcomes. Multivariable Fine-Gray competing risk survival models, adjusted for inverse propensity score weights, were used to determine the association between biopsy type, TTT, and breast cancer-specific mortality (BCSM).

RESULTS

TTT ≥ 60 days was associated with 45% higher risk of BCSM (sHR = 1.45, 95% CI 1.24-1.69) compared to those with TTT < 60 days in stage I-III cases. Independent of TTT, CNB was associated with 28% higher risk of BCSM compared to VAB in stage II-III cases (sHR = 1.28, 95% CI 1.11-1.36), translating to a 2.7% and 4.0% absolute difference in BCSM at 5 and 10 years, respectively. However, in stage I cases, the BCSM risk was not associated with type of biopsy.

CONCLUSIONS

Our results suggest that treatment delay ≥ 60 days is independently associated with poorer survival outcomes in breast cancer patients. In stage II-III, CNB is associated with higher BCSM than VAB. However, type of biopsy does not underlie TTT-associated breast cancer mortality risk.

Racial, Ethnic, and Socioeconomic Disparities in Treatment Delay Among Patients With Hepatocellular Carcinoma in the United States

BACKGROUND & AIMS

Failures have been reported across the cancer care continuum in patients with hepatocellular carcinoma (HCC); however, the impact of treatment delays on outcomes has not been well-characterized. We described the prevalence of treatment delays in a racially and ethnically diverse cohort of patients and its association with overall survival.

METHODS

Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified patients diagnosed with HCC between 2001 and 2015. We performed multivariable logistic regression analysis to identify factors associated with treatment delay (ie, receipt of HCC-directed therapy >3 months after diagnosis). Cox proportional hazards regression analysis with a 5-month landmark was used to characterize the association between treatment delay and overall survival, accounting for immortal time bias.

RESULTS

Of 8450 patients with treatment within 12 months of HCC diagnosis, 1205 (14.3%) experienced treatment delays. The proportion with treatment delays ranged from 6.8% of patients undergoing surgical resection to 21.6% of those undergoing liver transplantation. In multivariable analysis, Black patients (odds ratio, 1.96; 95% confidence interval [CI], 1.21-3.15) and those living in high poverty neighborhoods (odds ratio, 1.55; 95% CI, 1.25-1.92) were more likely to experience treatment delays than white patients and those living in low poverty neighborhoods, respectively. Treatment delay was independently associated with worse survival (hazard ratio 1.15, 95% CI, 1.05-1.25).

CONCLUSIONS

Nearly 1 in 7 patients with HCC experience treatment delays, with higher odds in Black patients and those living in high poverty neighborhoods. Treatment delays are associated with worse survival, highlighting a need for interventions to improve time-to-treatment.

Disparity-Sensitive Measures in Surgical Care: A Delphi Panel Consensus

BACKGROUND

In the US, disparities in surgical care impede the delivery of uniformly high-quality care to all patients. There is a lack of disparity-sensitive measures related to surgical care. The American College of Surgeons Metrics for Equitable Access and Care in Surgery group, through research and expert consensus, aimed to identify disparity-sensitive measures in surgical care.

STUDY DESIGN

An environmental scan, systematic literature review, and subspecialty society surveys were conducted to identify potential disparity-sensitive surgical measures. A modified Delphi process was conducted where panelists rated measures on both importance and validity. In addition, a novel literature-based disparity-sensitive scoring process was used.

RESULTS

We identified 841 potential disparity-sensitive surgical measures. From these, our Delphi and literature-based approaches yielded a consensus list of 125 candidate disparity-sensitive measures. These measures were rated as both valid and important and were supported by the existing literature.

CONCLUSION

There are profound disparities in surgical care within the US healthcare system. A multidisciplinary Delphi panel identified 125 potential disparity-sensitive surgical measures that could be used to track health disparities, evaluate the impact of focused interventions, and reduce healthcare inequity.

Time to surgery and survival in breast cancer

Background

This study aimed to investigate the effect of the time from diagnosis to breast cancer surgery on breast cancer patients’ prognosis.

Methods

Of the 1900 patients diagnosed with invasive (stage 1–3) breast cancer who underwent surgery in KUH between 2012 and 2019, 279 patients were enrolled in this study. All patients, including those who received neoadjuvant chemotherapy, were classified as Model 1 subjects, and those who received immediate surgical treatment were classified as Model 2 subjects. We conducted a Cox regression analysis to identify prognostic factors of breast cancer associated with the time from diagnosis to surgery.

Results

The univariate results indicated a sharp drop in both groups’ survival rates when the time to surgery was delayed for more than 8 weeks (Model 1 p = 0.000; Model 2 p = 0.001). In the multivariate analysis, the hazard ratio (HR) of Model 1increased (HR = 6.84, 95% CI 1.06–44.25) in response to a delay in surgery of more than 8 weeks. Smoking and the American Joint Committee on Cancer (AJCC) staging system had a negative effect on breast cancer prognosis, while hormone therapy had a positive effect.

Conclusion

For all patients, a delay in breast cancer surgery of more than 8 weeks was inversely associated with survival.

An appropriate treatment interval does not affect the prognosis of patients with breast Cancer

Purpose

Major public health emergencies may lead to delays or alterations in the treatment of patients with breast cancer at each stage of diagnosis and treatment. How much do these delays and treatment changes affect treatment outcomes in patients with breast cancer?

Methods

This review summarized relevant research in the past three decades and identified the effect of delayed treatment on the prognosis of patients with breast cancer in terms of seeking medical treatment, neoadjuvant treatment, surgery, postoperative chemotherapy, radiotherapy, and targeted therapies.

Results

Delay in seeking medical help for ≥12 weeks affected the prognosis. Surgical treatment within 4 weeks of diagnosis did not affect patient prognosis. Starting neoadjuvant chemotherapy within 8 weeks after diagnosis, receiving surgical treatment at 8 weeks or less after the completion of neoadjuvant chemotherapy, and receiving radiotherapy 8 weeks after surgery did not affect patient prognosis. Delayed chemotherapy did not increase the risk of relapse in patients with luminal A breast cancer. Every 4 weeks of delay in the start of postoperative chemotherapy in patients with luminal B, triple-negative, or HER2-positive breast cancer treated with trastuzumab will adversely affect the prognosis. Targeted treatment delays in patients with HER2-positive breast cancer should not exceed 60 days after surgery or 4 months after diagnosis. Radiotherapy within 8 weeks after surgery did not increase the risk of recurrence in patients with early breast cancer who were not undergoing adjuvant chemotherapy.

Conclusion

Different treatments have different time sensitivities, and the careful evaluation and management of these delays will be helpful in minimizing the negative effects on patients.

Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic

Background

The management of cancer surgeries is under unprecedented challenges during the COVID-19 pandemic, and the breast cancer patients may face a time-delay in the treatment. This retrospective study aimed to present the pattern of time-to-surgery (TTS) and analyze the features of breast cancer patients under the different stages of the COVID-19 pandemic.

Methods

Patients who received surgeries for breast cancers at West China Hospital between February 15, 2020 and April 30, 2020 (the outbreak and post-peak stages), and between March 10, 2021 and May 25, 2021 (the normalization stage) were included. TTS was calculated as the time interval between the pathological diagnosis and surgical treatment of breast cancer patients. And the pandemic was divided into three stages based on the time when the patients were pathologically diagnosed and the severity of pandemic at that time point. TTS, demographic and clinicopathological features were collected from medical records.

Results

A total of 367 patients were included. As for demographic features, it demonstrated statistically significant differences in insurance type (p<0.001) and regular screening (p<0.001), as well as age (p=0.013) and menstrual status (p=0.004). As for clinicopathological features, axillary involvement (p=0.019) was a factor that differed among three stages. The overall TTS was 23.56 ± 21.39 days. TTS for patients who were diagnosed during the outbreak of COVID-19 were longer than those diagnosed during pandemic post-peak and normalization stage (p<0.001). Pandemic stage (p<0.001) and excision biopsy before surgery (OR, 6.459; 95% CI, 2.225-18.755; p=0.001) were markedly correlated with the TTS of patients.

Conclusions

TTS of breast cancer patients significantly varied in different stages of the COVID-19 pandemic. And breast cancer patients’ daily lives and disease treatments were affected by the pandemic in many aspects, such as health insurance access, physical screening and change of therapeutic schedules. As the time-delay may cause negative influences on patients’ disease, we should minimize the occurrence of such time-delay. It is vital to come up with comprehensive measures to deal with unexpected situations in case the pandemic occurs.

Time to treatment and hospital visits for patients undergoing neoadjuvant chemotherapy for breast cancer in a single payer system

BACKGROUND AND OBJECTIVES

Neoadjuvant chemotherapy (NAC) requires coordination of various services to ensure timely and accurate delivery of care. This can result in multiple hospital visits and extend time to treatment (TTT). The primary purpose of our study was to evaluate time to NAC for patients at a regional cancer centre. Healthcare resource use in the form of hospital visits before NAC was also evaluated.

METHODS

A retrospective chart analysis of patients with invasive breast cancer who underwent NAC between 1 January 2012 and 31 December 2018 was performed.

RESULTS

Overall, 286 patients underwent NAC. Median TTT was 22 days (range: 2-105). Median number of visits between first consultation and NAC was 5 (range: 0-12). Majority of additional visits were for diagnostic imaging/interventions, with a median number of 4 visits (range: 0-10). Each additional hospital visit increased time to NAC treatment by 14%.

CONCLUSIONS

Women undergoing NAC require multiple visits before initiating treatment-the majority of these visits are for diagnostic imaging. These results support the need for the coordination of multidisciplinary care and diagnostic imaging for breast cancer patients undergoing NAC to reduce hospital visits, improve the patient experience, and reduce TTT.

Time from first seen in specialist care to surgery does not influence survival outcome in patients with upfront resected pancreatic adenocarcinoma

BACKGROUND

This study evaluated the impact of time to surgery (TTS) on overall survival (OS), disease free survival (DFS) and postoperative complication rate in patients with upfront resected pancreatic adenocarcinoma (PA).

METHODS

We retrospectively included patients who underwent upfront surgery for PA between January 1, 2004 and December 31, 2014 from four French centers. TTS was defined as the number of days between the date of the first consultation in specialist care and the date of surgery. DFS for a 14-day TTS was the primary endpoint. We also analyzed survival depending on different delay cut-offs (7, 14, 28, 60 and 75 days).

RESULTS

A total of 168 patients were included. 59 patients (35%) underwent an upfront surgery within 14 days. Patients in the higher delay group (> 14 days) had significantly more vein resections and endoscopic biliary drainage. Adjusted OS (p = 0.44), DFS (p = 0.99), fistulas (p = 0.41), hemorrhage (p = 0.59) and severe post-operative complications (p = 0.82) were not different according to TTS (> 14 days). Other delay cut-offs had no impact on OS or DFS.

DISCUSSION

TTS seems to have no impact on OS, DFS and 90-day postoperative morbidity.

Young Women with Breast Cancer: Chemotherapy or Surgery First? An Evaluation of Time to Treatment for Invasive Breast Cancer

Background

Breast cancer in young women (ages 18–40 years) is rare, yet remains a leading cause of cancer-related death. Time to treatment (TTT) is an increasingly important factor in breast cancer outcomes, specifically time to systemic therapy. Our objective was to review patterns of care for young women presenting with invasive breast cancer and compare TTT for surgery first versus neoadjuvant chemotherapy (NAC).

Patients and Methods

A retrospective chart review of young women with non-metastatic, non-inflammatory invasive breast cancer between 2012 and 2018 at a single institution was completed. The primary outcome was time to first treatment (surgery or NAC).

Results

One hundred forty-two young women were treated for invasive breast cancer during the study period. The majority of patients underwent surgery first (57.7%) compared with NAC (42.3%). Women who underwent NAC were more likely to have abnormal lymph nodes on imaging (p = 0.002) and clinical exam (p < 0.0001) and were also more likely to have larger tumor sizes (p < 0.05). The majority of triple negative patients underwent NAC first (88% [14/16]). Median TTT was significantly longer for surgery (27 [range 7–70] days) versus (20.5 [3–50] days) chemotherapy (p = 0.004). Median number of additional hospital visits prior to surgery was 4 (range 1–8) versus 5 (0–11) for NAC (p < 0.001).

Conclusions

Young women with breast cancer who undergo NAC have a shorter TTT and clinically similar median number of hospital visits compared with women undergoing surgery first. These results support the use of NAC in young women, when indicated, as additional workup and consultations prior to NAC do not delay care.

The Relationship between Time to Surgery (TTS) and Survival in Breast Cancer: A Systematic Review and Meta-Analysis

Background:

Curative operation is the practical and primary therapy for masses of breast cancers. In contrast, the correlation between the time interval from breast cancer diagnosis to curative surgery and survival is still uncertain.

Methods:

An electronic literature search was conducted on PubMed/Medline and EMBASE (between Jan 2000 and Jan 2020). Primary endpoints were overall survival (OS) or Disease-Free Survival (DFS). The HR with 95% confidence intervals were calculated using a random-effects or fixed-effects model.

Results:

The combined HR for OS was 1. 10 (95% CI 1. 08–1. 11; P=0. 000) by fixed-effects model, no statistically significant heterogeneity was found (P=1. 000; I2=0%), and this difference was statistically significant (Z=11. 99; P=0. 000).

Conclusion:

This meta-analysis showed a significant adverse association between more prolonged time to surgery (TTS) and lower overall survival in patients with breast cancer. It is reasonable to minimize that interval between diagnosis and curative surgery.

Prolonged Time from Diagnosis to Breast-Conserving Surgery is Associated with Upstaging in Hormone Receptor-Positive Invasive Ductal Breast Carcinoma

BACKGROUND

Time to surgery (TTS) has been suggested to have an association with mortality in early-stage breast cancer.

OBJECTIVE

This study aims to determine the association between TTS and preoperative disease progression in tumor size or nodal status among women diagnosed with clinical T1N0M0 ductal breast cancer.

METHODS

Women diagnosed with clinical T1N0M0 ductal breast cancer who had breast-conserving surgery as their first definitive treatment between 2010 and 2016 (n = 90,405) were analyzed using the National Cancer Database. Separate multivariable logistic regression models for hormone receptor (HR)-positive and HR-negative patients, adjusted for clinical and demographic variables, were used to assess the relationship between TTS and upstaging of tumor size (T-upstaging) or nodal status (N-upstaging).

RESULTS

T-upstaging occurred in 6.76% of HR-positive patients and 11.00% of HR-negative patients, while N-upstaging occurred in 12.69% and 10.75% of HR-positive and HR-negative patients, respectively. Among HR-positive patients, odds of T-upstaging were higher for 61-90 days TTS (odds ratio [OR] 1.18, 95% confidence interval [CI] 1.05-1.34) and ≥91 days TTS (OR 1.47, 95% CI 1.17-1.84) compared with ≤30 days TTS, and odds of N- upstaging were higher for ≥91 days TTS (OR 1.35, 95% CI 1.13-1.62). No association between TTS and either T- or N-upstaging was found among HR-negative patients. Other clinical and demographic variables, including grade, tumor location, and race/ethnicity, were associated with both T- and N-upstaging.

CONCLUSION

TTS ≥61 and ≥91 days was a significant predictor of T- and N-upstaging, respectively, in HR-positive patients; however, TTS was not associated with upstaging in HR-negative breast cancer. Delays in surgery may contribute to measurable disease progression in T1N0M0 ductal breast cancer.

Impact of COVID-19 pandemic on the oncologic care continuum: urgent need to restore patients care to pre-COVID-19 era

Background:

Globally, cancer is the second leading cause of death, and it is estimated that over 18·1 million new cases are diagnosed annually. The COVID-19 pandemic has significantly impacted almost every aspect of the provision and management of cancer care worldwide. The time-critical nature of COVID-19 diagnosis and the large number of patients requiring hospitalisation necessitated the rerouting of already limited resources available for cancer services and programmes to the care of COVID-19 patients. Furthermore, the stringent social distancing, restricted in-hospital visits and lockdown measures instituted by various governments resulted in the disruption of the oncologic continuum including screening, diagnostic and prevention programmes, treatments and follow-up services as well as research and clinical trial programmes.

Materials and Methods:

We searched several databases from October 2020 to January 2021 for relevant studies published in English between 2020 and 2021 and reporting on the impact of COVID-19 on the cancer care continuum. This narrative review paper describes the impact of the COVID-19 pandemic on the cancer patient care continuum from screening and prevention to treatments and ongoing management of patients.

Conclusions:

The COVID-19 pandemic has profoundly impacted cancer care and the management of cancer services and patients. Nevertheless, the oncology healthcare communities worldwide have done phenomenal work with joint and collaborative efforts, utilising best available evidence-based guidelines to continue to give safe and effective treatments for cancer patients while maintaining the safety of patients, healthcare professionals and the general population. Nevertheless, several healthcare centres are now faced with significant challenges with the management of the backlog of screening, diagnosis and treatment cases. It is imperative that governments, leaders of healthcare centres and healthcare professionals take all necessary actions and policies focused on minimising further system-level delays to cancer screening, diagnosis, treatment initiation and clearing of all backlogs cases from the COVID-19 pandemic in order to mitigate the negative impact on cancer outcomes.

When the World Throws You a Curve Ball: Lessons Learned in Breast Cancer Management

In the care of patients with operable breast cancer, there has been a shift toward increasing use of neoadjuvant therapy. There are benefits to neoadjuvant therapy, such as monitoring for response, as well as an increased rate of breast conservation and reduction of potential morbidity associated with breast surgery, including axillary management. Among patients with highly proliferative tumors, such as HER2-positive or triple-negative breast cancer, those with residual disease are at higher risk of recurrence, which informs the recommended systemic therapy in the adjuvant setting. For instance, in patients with residual disease after neoadjuvant chemotherapy and HER2-targeted therapy, there is a role for adjuvant trastuzumab emtansine for those with residual disease at the time of surgery. The same holds true regarding the role of adjuvant capecitabine in patients with residual disease after neoadjuvant chemotherapy. With the added complexities of treating patients in the era of the COVID-19 outbreak, additional considerations are critical, including initiation of surgery within an appropriate time from completion of neoadjuvant therapy. National consensus guidelines on time to surgery must be developed to improve measurement and comparison across systems. In addition, there is emerging radiation treatment management research addressing a number of factors, including hypofractionation, role of proton beam therapy, safe omission of radiotherapy, and preoperative radiotherapy with or without drug combination. In this article, the multidisciplinary approach of treating patients with operable breast cancer is highlighted, with updates and future considerations described.

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.

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

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

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

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

Time to surgery among women treated with neoadjuvant systemic therapy and upfront surgery for breast cancer

PURPOSE

Time to surgery (TTS) is a potentially modifiable factor associated with survival after breast cancer diagnosis and can serve as a proxy for quality of oncologic care coordination. We sought to determine whether factors associated with delays in TTS vary between patients who receive neoadjuvant systemic therapy (NST) vs upfront surgery and whether the impact of these delays on overall survival (OS) varies with treatment sequence.

METHODS

Women ≥ 18 years old with Stage I-III breast cancer were identified in the National Cancer Database (2004-2014). Multivariate linear regression stratified by treatment sequence (upfront surgery vs NST [neoadjuvant chemotherapy {NAC}, neoadjuvant endocrine therapy {NAE}, or both {NACE}]) was used to identify factors associated with TTS. Cox proportional hazards models were used to estimate the effect of TTS on overall survival (OS).

RESULTS

Of 693,469 patients, 14.8% (n = 102,326) received NST (NAC n = 85,143, NAE n = 10,004, NACE n = 7179). Non-White race/ethnicity, no or government-issued insurance, more extensive surgery (i.e., mastectomy and contralateral prophylactic mastectomy vs breast-conserving surgery), and post-mastectomy reconstruction were associated with significantly longer adjusted TTS for NAC and upfront-surgery recipients, but only upfront-surgery patients had progressively worse OS with increasing TTS (> 180 vs ≤ 30 days: HR = 1.31, all p < 0.001).

CONCLUSIONS

Surgery extent, race/ethnicity, and insurance were associated with TTS across treatment groups, but longer TTS was only associated with worse OS in upfront-surgery patients. Our findings can help inform surgeon-patient communication, shared decision making, care coordination, and patients' expectations throughout both NST and in the perioperative period.

Mortality due to cancer treatment delay: systematic review and meta-analysis

OBJECTIVE

To quantify the association of cancer treatment delay and mortality for each four week increase in delay to inform cancer treatment pathways.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Published studies in Medline from 1 January 2000 to 10 April 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Curative, neoadjuvant, and adjuvant indications for surgery, systemic treatment, or radiotherapy for cancers of the bladder, breast, colon, rectum, lung, cervix, and head and neck were included. The main outcome measure was the hazard ratio for overall survival for each four week delay for each indication. Delay was measured from diagnosis to first treatment, or from the completion of one treatment to the start of the next. The primary analysis only included high validity studies controlling for major prognostic factors. Hazard ratios were assumed to be log linear in relation to overall survival and were converted to an effect for each four week delay. Pooled effects were estimated using DerSimonian and Laird random effect models.

RESULTS

The review included 34 studies for 17 indications (n=1 272 681 patients). No high validity data were found for five of the radiotherapy indications or for cervical cancer surgery. The association between delay and increased mortality was significant (P<0.05) for 13 of 17 indications. Surgery findings were consistent, with a mortality risk for each four week delay of 1.06-1.08 (eg, colectomy 1.06, 95% confidence interval 1.01 to 1.12; breast surgery 1.08, 1.03 to 1.13). Estimates for systemic treatment varied (hazard ratio range 1.01-1.28). Radiotherapy estimates were for radical radiotherapy for head and neck cancer (hazard ratio 1.09, 95% confidence interval 1.05 to 1.14), adjuvant radiotherapy after breast conserving surgery (0.98, 0.88 to 1.09), and cervix cancer adjuvant radiotherapy (1.23, 1.00 to 1.50). A sensitivity analysis of studies that had been excluded because of lack of information on comorbidities or functional status did not change the findings.

CONCLUSIONS

Cancer treatment delay is a problem in health systems worldwide. The impact of delay on mortality can now be quantified for prioritisation and modelling. Even a four week delay of cancer treatment is associated with increased mortality across surgical, systemic treatment, and radiotherapy indications for seven cancers. Policies focused on minimising system level delays to cancer treatment initiation could improve population level survival outcomes.

Consolidation of Cancer Registry and Administrative Claims Data on Cancer Diagnosis and Treatment in the US Military Health System

PURPOSE

Linked cancer registry and medical claims data have increased the capacity for cancer research. However, few efforts have described methods to select information between data sources, which may affect data use. We developed a systematic process to evaluate and consolidate cancer diagnosis and treatment information between the linked Department of Defense Central Cancer Registry (CCR) and Military Health System Data Repository (MDR) administrative claims database, called Military Cancer Epidemiology Data System (MilCanEpi).

METHODS

MilCanEpi contains information on cancer diagnosis and treatment of patients receiving care from 1998 to 2014. We used an iterative process guided by knowledge of data features, current literature, and logical comparisons between the CCR and MDR data to evaluate and consolidate cancer diagnosis and treatment received (yes or no) and their dates. We applied the processes to breast cancer data as an example. Agreement between diagnosis and treatment dates in the two data sources was evaluated using Cohen's κ with 95% CIs.

RESULTS

In MilCanEpi, we identified 15,965 patients with a breast cancer diagnosis and 15,145 patients who underwent breast cancer surgery; 97.9% and 84.1% of patients had records in both CCR and MDR for diagnosis and surgery, respectively. Exact agreement was 13.7% for diagnosis dates (Cohen's κ = 0.14; 95% CI, 0.13 to 0.14) and 68.9% for surgery dates (Cohen's κ = 0.69; 95% CI, 0.68 to 0.70) between the two data sources. After applying systematic processes, 98.1% of patients with a breast cancer diagnosis and 99.7% of patients with surgery had information selected for analytic data sets.

CONCLUSION

The developed processes resulted in high consolidation rates of breast cancer data in MilCanEpi and may serve as a data selection template for other tumor sites and linked data sources.

The Breast Health Global Initiative 2018 Global Summit on Improving Breast Healthcare Through Resource-Stratified Phased Implementation: Methods and overview

BACKGROUND

The Breast Health Global Initiative (BHGI) established a series of resource-stratified, evidence-based guidelines to address breast cancer control in the context of available resources. Here, the authors describe methodologies and health system prerequisites to support the translation and implementation of these guidelines into practice.

METHODS

In October 2018, the BHGI convened the Sixth Global Summit on Improving Breast Healthcare Through Resource-Stratified Phased Implementation. The purpose of the summit was to define a stepwise methodology (phased implementation) for guiding the translation of resource-appropriate breast cancer control guidelines into real-world practice. Three expert consensus panels developed stepwise, resource-appropriate recommendations for implementing these guidelines in low-income and middle-income countries as well as underserved communities in high-income countries. Each panel focused on 1 of 3 specific aspects of breast cancer care: 1) early detection, 2) treatment, and 3) health system strengthening.

RESULTS

Key findings from the summit and subsequent article preparation included the identification of phased-implementation prerequisites that were explored during consensus debates. These core issues and concepts are key components for implementing breast health care that consider real-world resource constraints. Communication and engagement across all levels of care is vital to any effectively operating health care system, including effective communication with ministries of health and of finance, to demonstrate needs, outcomes, and cost benefits.

CONCLUSIONS

Underserved communities at all economic levels require effective strategies to deploy scarce resources to ensure access to timely, effective, and affordable health care. Systematically strategic approaches translating guidelines into practice are needed to build health system capacity to meet the current and anticipated global breast cancer burden.