As the complexity and need for cancer care services continue to grow, time to treatment initiation (TTI) has been increasing across cancer types. Presently there are no comprehensive analyses identifying the recent changes in TTI and the important variables causing variation in TTI for all the most prevalent cancer types.

This is a retrospective, observational study using data from the National Cancer Database from 2004 to 2015. The database was queried for newly diagnosed patients with cancer stages I-IV who had TTI within 0-180 days. Stepwise linear regression models were used as a variable selection technique to identify the most significant independent variables to evaluate as predictor variables.

The study sample included 5,615,193 patients (median age, 65; 51.5% female; 86.1% White) across 30 different cancer types (most prevalent: breast [22.1%], lung [18.8%], prostate [16.6%]). The median [IQR] TTI across all 30 cancer types was 26 [6-47] days, with an increase of 7 days from 2004 (21 [4-44]) to 2015 (28 [9-49]; P < .001). No individual cancer type decreased in TTI from 2004 to 2015. The proportion of patients diagnosed with new stage I disease increased by 52.2% from 2004 (28.4%, n = 78,732) to 2015 (43.2%, n = 256,150). All other stages decreased in percent incidence. There was a 100.0% increase in median TTI for stage I patients from 2004 to 2015 (14-28 days). Cancer stage was the most important predictor of change in TTI for 16 cancer types (P < .001 for all 16).

TTI is increasing for patients with cancer, and the recent increase in stage I diagnoses is highly associated with this change.

Delays in time to treatment (TTT) have been shown to affect cancer survival, yet this has not been investigated in adolescent and young adult (AYA) Hodgkin lymphoma (HL) patients. This retrospective analysis included 508 patients with TTT defined as the time between diagnosis and chemotherapy start. The median TTT for the population was 28 days (IQR: 12-44). Patients who reported fevers and night sweats had shorter TTT than those who did not (p = 0.016 and p = 0.017, respectively). TTT varied significantly by age group (p < 0.01), with adolescents (15-18 years) having nearly a 10-day shorter TTT (21.3 days) compared to a TTT of 30.2 and 31.2 days for emerging adults (19-25 years) and young adults (26-39 years), respectively. Delayed TTT was not associated with risk of death. The lack of association with survival may reflect the overall favorable survival experienced by AYA HL patients and is in line with that reported for HL across all age populations.

We examined the impact of the COVID-19 consortium recommendations on the surgical management of breast cancer during the first year of the pandemic.

Patients with newly diagnosed ER + DCIS, ER- DCIS, AJCC Stage cT1-2N0-1 ER + , HER2-, HER2 + , and triple negative breast cancer were identified from the National Cancer Database from 2018 to 2021. An interrupted time series design evaluated differences in surgical delay and use of neoadjuvant chemotherapy/immunotherapy (NAC) and endocrine therapy (NET) before and after the pandemic.

A total of 895116 female patients were included in the study with a mean age of 61.7 years. Time to surgery decreased by an average 5.5 days from January 2020 to May 2020 for all breast cancer types, corresponding with a 62.2% decrease in breast cancer diagnoses per month from January 2020 to April 2020. The use of NET increased from 5.6 to 23.6% from January to March 2020 for patients with ER + DCIS and 8.0 to 31.1% for ER + cT1-2N0 cancer (both p < 0.01). The use of NAC for HER2 + tumors and triple negative breast cancers has been increasing since 2018 and a larger than expected increase was seen from 57.2 to 63.6% for HER2 + tumors and 55.6 to 68.7% for triple negative breast cancers (both p < 0.01). Treatment practices returned to pre-pandemic levels in June 2020.

Prior to the publication of the Consortium recommendations, time to surgery decreased while the use of NET and NAC increased, with the resumption of pre-pandemic practices by June 2020.

Growing breast cancer is associated with an inherent risk of metastasis. If surgical treatment of breast cancer is delayed, the prognosis worsens with increasing tumor size. This justifies the search for a safe time interval between diagnosis and surgery.

The 2022 population-based data on incidence and the time interval to initial surgery for the United States (U.S.) and Germany are used. Tumor growth and initiation of metastases can be calculated using public data on hormone receptor status, volume doubling time, and tumor size-dependent relative survival. Our assumptions are based on an initial 19.8 mm mean tumor size. 15-year BC-specific mortality in both countries is assumed to be 19.6% without surgical delay. Volume doubling time stratified by hormone receptor status, assumed to be continuous may differ by a factor of 2.4.

The U.S. and Germany report 287,850/71,375 new breast cancers for the year 2022 and 2019. If tumor removal is delayed by 8 weeks, mortality rate increases by 2.25/4.79% (HR + /HR-) as estimated by our model. The currently reported mean delay in the U.S. and Germany of 33.7/26.0 days or 4.8/3.7 weeks, respectively, would lead to an estimated 4,676/918 additional BC deaths or a 1.6/1.2% rise in the 15-year BC-specific mortality rate.

This study offers reasonable evidence that confirmed cases of breast cancer should be prioritized and treated according to hormone receptor status and tumor size as soon as possible. Effective screening measures should be followed by timely treatment.

Cancer treatment services were interrupted during the pandemic, which potentially increased the time to treatment initiation (TTI). This study aimed to model the impact of a hypothetical three- and six-month delay in TTI on stage of breast cancer and non-small cell lung cancer (NSCLC) in Ireland.

The distribution of cancer stage at diagnosis, net survival at one to five years post diagnosis, and projected cancer incidence for 2020 were obtained for breast cancer and NSCLC, from the National Cancer Registry Ireland. The primary outcome, the probability of an upward stage-shift from stage I to II and stage II to III, is presented with 95 % CIs.

For breast cancer, the stage-shift probability after a hypothetical three-month and six-month delay was 0.13 (0.11, 0.15) and 0.25 (0.21, 0.27) in stage I and 0.09 (0.08, 0.11) and 0.17 (0.14, 0.21) in stage II. For NSCLC, the stage-shift probability after three-month and six-month delays was 0.51 (0.49, 0.53) and 0.76 (0.74, 0.78) in stage I and 0.27 (0.24, 0.30) and 0.47 (0.43, 0.51) in stage II.

The study provides potential evidence for an upward stage migration in those with breast cancer and NSCLC due to the pandemic. It is important to determine the longer-term impacts so that strategies are developed to mitigate adverse effects and improve health system preparedness for future unprecedented events.

To outline why access to care should be central to quality improvement efforts across health systems while identifying patient-centric strategies that could be used.

This study was designed based on the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols statement. A literature search of original peer-reviewed publications was undertaken to identify studies pertaining to the benefits of healthcare access in the setting of patient care. Articles published from January 2013 to January 2023 were included. An interpretive synthesis was then presented.

A total of 61 peer-reviewed studies were identified and differed significantly in their clinical design, methods, and endpoints. The core themes could be broadly categorized into the following: health outcomes (N = 32), patient satisfaction or experience (N = 15), operational efficiency (N = 7), and cost containment (N = 7). Twelve publications focused at least in part on equity issues, structural racism, and/or implicit bias; and five publications addressed disparities in education and/or technical literacy.

Access to healthcare affects quality of care, impacts the patient experience, and influences health outcomes and is a fundamental stalwart of value-based medicine.

The aim of the study was to identify the factors that cause delays in treatment initiation, such as race, gender, education, income status, and associated health comorbidities, as these can increase mortality.

We utilized the Surveillance, Epidemiology, and End Results (SEER) database to identify contributing factors such as sociodemographics that impact time from diagnosis to treatment initiation (TTI) in lung cancer, breast cancer, colorectal cancer (CRC) and prostate cancer from 2015 to 2020 in 991,772 patients. Variables studied included age, sex, race, marital status, geographic location, household income, stage, and grade. Two-way analysis of variance (ANOVA) was utilized to determine if significant differences existed between the effects on TTI with respect to the variables. TTI was measured in months. Based on the aforementioned variables, propensity scores were created for odds of receiving late treatment exceeding 1 month from diagnosis. Patients were matched 1:1. Based on the propensity score, a competing risk regression model was utilized to determine risk factors associated with late treatment.

Similar trends were noted among all cancers. With respect to gender, in breast cancer, TTI was shorter in males (1.02 months) compared to females at 1.24 (P < 0.001). A longer time to TTI was noted in patients greater than 65 years with lung cancer (1.38 months, P < 0.001). Shorter TTI was evident across all cancers for White patients (P < 0.001). Shorter TTI was noted among married versus widowed, divorced, or single patients. Patients with lower income and non-metropolitan regions had shorter TTI among all cancers. More aggressive cancers had shorter TTI. Propensity matched competing risks hazard analysis revealed similar results with younger patients, those living in metropolitan regions, those earning greater than $35,000, and localized and well-differentiated cancers being at greater risk of having a treatment delay greater than 1 month.

Health disparities still exist today, and this becomes more evident in our study as age, sex, and race, among other factors, can cause delays in time from diagnosis of cancer to treatment initiation, potentially negatively affecting survival in these populations.

In non-small cell lung cancer, social determinants of health (SDOH) influence treatment, but SDOH with geographic precision are infrequently used in real-world research because of privacy considerations. This research aims to characterize the influence of census tract-level SDOH on treatment for stage I and IIa non-small cell lung cancer.

Patients diagnosed between January 1, 2017, and September 30, 2022, with stage I or IIa non-small cell lung cancer in the Syapse Learning Health Network had their addresses geocoded and linked to 6 census tract-level indicators of SDOH (the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index, percentage housing burden, percentage broadband internet access, primary care shortage area, and rurality). Clinical and demographic characteristics were ascertained from medical records. Nested multinomial logistic regression models estimated associations between SDOH and initial treatment using 2-sided Wald tests. The collective statistical significance of SDOH was assessed using a likelihood ratio test comparing nested models. Descriptive statistics described time to treatment initiation.

Among 3595 patients, 58% were initially treated with surgery, 29% with radiation, and 12% with "other." Two SDOH variables were associated with increased relative risk for radiation therapy compared with surgery: living in primary care shortage areas (relative risk = 1.61, 95% CI = 1.23 to 2.10) and living in nonmetropolitan areas (relative risk = 1.45, 95% CI = 1.02 to 2.07). The likelihood ratio test suggested that the 5 SDOH variables collectively improved the treatment model. Further, patients in areas with high Social Vulnerability Index, low internet access, and high housing burden initiated treatment later.

When using precise estimates of geospatial SDOH, these measures were associated with treatment and should be considered in analyses of cancer outcomes.

The National Accreditation Program for Rectal Cancer (NAPRC) was established in 2017 to decrease rectal cancer treatment variation and improve oncologic outcomes. Initiating curative intent treatment <60 days of first evaluation is one NAPRC standard. We evaluated whether oncologic outcomes improved with timely treatment and factors associated with its receipt.

Using the NCDB, we identified stage I to III rectal cancer patients treated from 2004 to 2020 treated with curative-intent surgery. Patients were stratified into 2 cohorts (timely [<60 d], delayed [≥60 d]) for survival analysis and exploration of variables associated with timely treatment.

We included 117,459 patients with a median age of 61 years (interquartile range: 52 to 70 y). Most patients were male (61.1%), White (86.2%), Charlson 0 (77.1%) with stage II (33.5%) or III (44.3%) cancer treated with chemoradiation (58.1%), or surgery (27.0%) first. Timely treatment was associated with improved overall survival (OS; median OS: 153.26 vs. 128.59 m). Patients in the highest income bracket (odds ratio [OR] 1.30) with stage II (OR: 1.27) or III (OR: 1.50) cancer receiving neoadjuvant chemotherapy (OR: 2.24) or chemoradiation (OR: 1.73) as the first treatment received more timely treatment. Patients with Charlson ≥2 (OR: 0.83) of Black (OR: 0.56) or Hispanic (OR: 0.73) race received more delayed treatment (all P <0.01).

Timely rectal cancer treatment is associated with improved survival. Socioeconomic disparities limit timely treatment with attendant worse survival, supporting national homogenization of care. As multimodal care for rectal cancer becomes increasingly complex, timely treatment remains paramount.

Altered tissue mechanics is a prominent feature of many pathological conditions including cancer. As such, much work has been dedicated to understanding how mechanical features of tissues contribute to pathogenesis. Interestingly, previous work has demonstrated that the tumor vasculature acquires pathological features in part due to enhanced tumor stiffening. To further understand how matrix mechanics may be translated into altered cell behavior and ultimately affect tumor vasculature function, we have investigated the effects of substrate stiffening on endothelial epigenetics. Specifically, we have focused on DNA methylation as recent work indicates DNA methylation in endothelial cells can contribute to aberrant behavior in a range of pathological conditions.

Human umbilical vein endothelial cells (HUVECs) were seeded on stiff and compliant collagen-coated polyacrylamide gels and allowed to form monolayers over 5 days. DNA methylation was assessed via 5-methylcytosine ELISA assays and immunofluorescent staining. Gene expression was assessed via qPCR on RNA isolated from HUVECs seeded on collagen-coated polyacrylamide gels of varying stiffness.

Our work demonstrates that endothelial cells cultured on stiffer substrates exhibit lower levels of global DNA methylation relative to endothelial cells cultured on more compliant substrates. Interestingly, gene expression and DNA methylation dynamics suggest stiffness-mediated gene expression may play a role in establishing or maintaining differential DNA methylation levels in addition to enzyme activity. Additionally, we found that the process of passaging induced higher levels of global DNA methylation.

Altogether, our results underscore the importance of considering cell culture substrate mechanics to preserve the epigenetic integrity of primary cells and obtain analyses that recapitulate the primary environment. Furthermore, these results serve as an important launching point for further work studying the intersection tissue mechanics and epigenetics under pathological conditions.

Uptake of new systemic therapy treatments among patients with advanced non-small cell lung cancer (NSCLC) occurred rapidly after FDA approval. Few studies have characterized the association of these therapies on survival in community settings. We assessed survival by type of systemic therapy received among patients diagnosed with advanced NSCLC who were treated in community-based settings.

In this retrospective cohort, patients diagnosed with de novo stage IV NSCLC between March 2012 and December 2020 were followed through December 31, 2021. Survival was ascertained with restricted mean survival time from treatment receipt through 12 and 60 months and compared by RMST differences adjusting for demographic and tumor characteristics. Trends in one-year survival probabilities were assessed using joinpoint regression.

Of 945 patients receiving systemic therapy, 46% received cytotoxic chemotherapy (Chemo-Only), 15% bevacizumab +/- Chemo, 22% immunotherapy +/- Chemo, and 16% targeted therapies. Median days from diagnosis to treatment ranged from 32 to 42. Compared to those receiving Chemo-Only, patients receiving immunotherapy +/- Chemo survived 1.4 months longer [95% confidence interval (CI): 0.5 to 2.3 months; P=0.002] and 3.2 months longer (95% CI: -1.4 to 7.9 months; P=0.18) through 12 and 60 months follow-up, respectively. Relative to those receiving Chemo-Only, patients receiving targeted therapies survived 1.6 months longer (95% CI: 0.7 to 2.5 months; P<0.001) and 5.5 months longer (95% CI: 0.7 to 10.4 months; P=0.02) through 12 and 60 months follow-up. One-year survival significantly increased from 30% to 59% between 2012 and 2020 (P=0.007).

We found patients receiving targeted therapies and immunotherapy +/- Chemo survived longer than those on Chemo-Only. One-year survival probabilities significantly increased between 2012 and 2020. Additional research is needed to better understand the potential benefits and harms, including patient adverse events and financial toxicity.

The goal of this investigation was to compare the time to biopsy (TBI) and time to treatment (TTI) for head and neck squamous cell carcinoma (HNSCC) patients before and during the COVID-19 pandemic and to examine the effect of demographic and clinical characteristics on these intervals.

Our retrospective study at a large regional Hungarian cancer center analyzed data from patients aged 18 or older diagnosed with HNSCC between 1 January 2017 and 15 March 2020 (pre-COVID-19 period) and 16 March 2020 to 13 May 2021 (COVID-19 period). We calculated the time from initial physician contact to biopsy (TBI) and from biopsy to treatment initiation (TTI) and performed descriptive and exploratory statistical analyses.

The median TBI decreased significantly (6 vs. 3 days; p = 0.008), while the median TTI was not affected significantly (28 vs. 29 days; p = 0.972) pre-pandemic and during the pandemic, respectively. Residence in a village was linked to a significant reduction in median TBI during the pandemic (p = 0.000), coinciding with a higher proportion of rural patients diagnosed with oral cavity/oropharyngeal cancers during the pandemic (50.3% pre-pandemic vs. 67.4% during pandemic, p = 0.044). Median TTI decreased significantly during the pandemic for patients with laryngeal tumors (27.5 vs. 18.5 days; p = 0.012).

Our study, one of a few from this region, provides insights into HNSCC patient waiting times. Improvement in TBI likely resulted from the availability of telemedicine, reduced diagnostic demands from non-cancer patients, and an increased incidence of oral cavity/oropharyngeal cancer among rural patients.

Treatment delays are significantly associated with advanced stage, poor response to treatment, increased mortality risk, poor health outcomes, increased healthcare expenditures among cancer patients. However, factors associated with these delays have not yet been robustly evaluated. In order to bridge this gap, we determined the delayed time to treatment initiation (TTI) among cancer patients in India, ascertained its determinants, and assessed the trends of delayed TTI.

We analysed data collected from 6695 cancer patients seeking outpatient/daycare treatment, recruited at purposively selected seven healthcare facilities across six states of India. Data on socio-demographic and clinical characteristics including date of cancer diagnosis, date of treatment initiation, cancer site, stage and type of treatment were collected to determine the median TTI and ascertain its determinants among cancer patients in India. Time to treatment initiation was calculated as the duration (days) between diagnosis of cancer (histologically/clinically) and date of initiation of treatment. Multi-variable logistic regression was employed to analyse the relationship between the outcome variable (TTI) and each explanatory variable. A Cox Proportional Hazard (CPH) model was used to conduct time-to-event analysis, and to assess the impact of government-funded health insurance on timely cancer treatment initiation.

The median (IQR) overall TTI was 20 (7-39) days, with a mean of 53.7 days (SD, 192.9). The TTI was higher for those having head and neck cancer (median TTI: 29 days, IQR: 10.5-55.5) and those receiving radiotherapy as initial treatment (27.5 days, IQR: 10-49.5). Younger patients, those educated up to graduation level and males had significantly lower odds of delayed TTI. As compared to patients who were diagnosed between 1995 and 2017, those diagnosed after 2018 had a 36% (26-46%) higher odds of timely initiation of treatment within 30 days. Upon stratifying by enrolment under PMJAY, we found that while the access for timely treatment initiation increased by 33% for those who were not enrolled, vs. 90% among those enrolled under PM-JAY. Overall, this shows significant improvement in timely initiation of cancer treatment as a result of introduction of PM-JAY.

The study highlights the positive impact of government-funded health insurance schemes on the timely access to cancer treatment in India. Our study recommends expanding AB PM-JAY cancer packages to include cost-effective treatments, increasing population coverage under screening programs and promoting e-RUPI to reduce financial constraints associated with diagnostic services to address delayed treatment initiation due to unknown cancer stages.

Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India.

Delays in oncologic time to treatment initiation (TTI) independently and adversely affect disease-specific mortality. Social Determinants of Health (SDoH) are increasingly recognized as significant contributors to patients' disease management and health outcomes. Our academic center has validated a 10-item SDoH screener, and we elucidated which specific needs may be predictive of delayed TTI.

This is a retrospective cohort study at an urban academic center of patients with a SDoH screening and diagnosis of breast, colorectal, endocrine/neuroendocrine, GI, genitourinary, gynecologic, head and neck, hematologic, hepatobiliary, lung, or pancreatic cancer from 2018 to 2022. Variables of interest included household income, tumor stage, and emergency department (ED) or inpatient admission 30 days before diagnosis. Factors associated with delayed TTI ≥45 days were assessed using multivariable logistic regression.

Among 2,328 patients (mean [standard deviation] age, 64.0 (12.8) years; 66.6% female), having >1 unmet social need was associated with delayed TTI (odds ratio [OR], 1.68; 95% CI, 1.54 to 1.82). The disparities most associated with delay were legal help, transportation, housing stability, and needing to provide care for others. Those with ED (OR, 0.49; 95% CI, 0.44 to 0.54) or inpatient (OR, 0.54; 95% CI, 0.50 to 0.58) admission 30 days before diagnosis were less likely to experience delay.

Delays in oncologic TTI ≥45 days are independently associated with unmet social needs. ED or inpatient admissions before diagnosis increase care coordination, leading to improved TTI. Although limitations included the retrospective nature of the study and self-reporting bias, these findings more precisely identify targets for intervention that may more effectively decrease delay. Patients with SDoH barriers are at higher risk of treatment delay and could especially benefit from legal, transportation, caregiver, and housing assistance.

Delays in breast cancer diagnosis and treatment lead to worse survival and quality of life. Racial disparities in care timeliness have been reported, but few studies have examined access at multiple points along the care continuum (diagnosis, treatment initiation, treatment duration, and genomic testing).

The Carolina Breast Cancer Study (CBCS) Phase 3 is a population-based, case-only cohort (n = 2,998, 50% black) of patients with invasive breast cancer diagnoses (2008 to 2013). We used latent class analysis (LCA) to group participants based on patterns of factors within 3 separate domains: socioeconomic status ("SES"), "care barriers," and "care use." These classes were evaluated in association with delayed diagnosis (approximated with stages III-IV at diagnosis), delayed treatment initiation (more than 30 days between diagnosis and first treatment), prolonged treatment duration (time between first and last treatment-by treatment modality), and receipt of OncotypeDx genomic testing (evaluated among patients with early stage, ER+ (estrogen receptor-positive), HER2- (human epidermal growth factor receptor 2-negative) disease). Associations were evaluated using adjusted linear-risk regression to estimate relative frequency differences (RFDs) with 95% confidence intervals (CIs). Delayed diagnosis models were adjusted for age; delayed and prolonged treatment models were adjusted for age and tumor size, stage, and grade at diagnosis; and OncotypeDx models were adjusted for age and tumor size and grade. Overall, 18% of CBCS participants had late stage/delayed diagnosis, 35% had delayed treatment initiation, 48% had prolonged treatment duration, and 62% were not OncotypeDx tested. Black women had higher prevalence for each outcome. We identified 3 latent classes for SES ("high SES," "moderate SES," and "low SES"), 2 classes for care barriers ("few barriers," "more barriers"), and 5 classes for care use ("short travel/high preventive care," "short travel/low preventive care," "medium travel," "variable travel," and "long travel") in which travel is defined by estimated road driving time. Low SES and more barriers to care were associated with greater frequency of delayed diagnosis (RFDadj = 5.5%, 95% CI [2.4, 8.5]; RFDadj = 6.7%, 95% CI [2.8,10.7], respectively) and prolonged treatment (RFDadj = 9.7%, 95% CI [4.8 to 14.6]; RFDadj = 7.3%, 95% CI [2.4 to 12.2], respectively). Variable travel (short travel to diagnosis but long travel to surgery) was associated with delayed treatment in the entire study population (RFDadj = 10.7%, 95% CI [2.7 to 18.8]) compared to the short travel, high use referent group. Long travel to both diagnosis and surgery was associated with delayed treatment only among black women. The main limitations of this work were inability to make inferences about causal effects of individual variables that formed the latent classes, reliance on self-reported socioeconomic and healthcare history information, and generalizability outside of North Carolina, United States of America.

Black patients face more frequent delays throughout the care continuum, likely stemming from different types of access barriers at key junctures. Improving breast cancer care access will require intervention on multiple aspects of SES and healthcare access.

Renal insufficiency and/or chronic kidney disease are common comorbidities in patients with lung cancer, potentially affecting their prognosis. The aim of the present study was to assess the existing evidence on the association between renal insufficiency (RI)/chronic kidney disease (CKD) and the overall survival (OS) and disease-free survival (DFS) of patients with lung cancer (LC). Comprehensive electronic searches in the PubMed, Embase and Scopus databases were performed for observational cohort and case-control studies and randomized controlled trials that investigated the association between RI/CKD and the OS and/or DFS of patients with LC. Random-effect models were used, and the combined effect sizes were reported as either standardized mean differences or relative risks, along with 95% confidence intervals (CI). A total of 10 studies were included. The duration of follow-up in the included studies ranged from 12 months to 5 years. Compared with patients with normal renal function, patients with LC with RI/CKD had worse OS rates [hazard ratio (HR), 1.38; 95% CI, 1.16-1.63] but similar DFS rates (HR, 1.12; 95% CI, 0.75-1.67) at follow-up. Subgroup analysis demonstrated a significant association between poor OS and RI/CKD in patients with stage I/II LC [HR, 1.76; 95% CI, 1.30-2.37] but not in patients with stage III/IV LC [HR, 1.18; 95% CI, 0.91, 1.54]. Furthermore, irrespective of the treatment modality i.e., surgery [HR, 1.78; 95% CI, 1.40-2.27] or medical management [HR, 1.37; 95% CI, 1.25-1.50], RI/CKD was notably associated with a poor OS at follow-up. The findings of the present study underscore the adverse impact of RI/CKD on the long-term survival of patients with LC.

Timeliness of care is an important healthcare outcome measure. The objective of this study was to explore patient perspectives on the timeliness of breast cancer diagnosis and treatment at accredited breast cancer centers.

In this qualitative study, 1 hour virtual interviews were conducted with participants 18-75 years old who were diagnosed and treated for stage 0-III breast cancer at a National Accreditation Program for Breast Centers facility from 2018 to 2022. Thematic analysis was used to identify key themes of participant experiences.

Twenty-eight participants were interviewed. Two thematic domains were identified: etiologies of expedited or delayed care and the impact of delayed or expedited care on patients. Within these domains, multiple themes emerged. For etiologies of expedited or delayed care, participants discussed (1) the effect of scheduling appointments, (2) the COVID-19 pandemic, (3) dissatisfaction with the timeline for various parts of the diagnostic workup, and (4) delays related to patient factors, including socioeconomic status. For the impact of expedited or delayed care, patients discussed (1) the emotional and mental impact of waiting, (2) the importance of communication and clear expectations, and (3) the impact of electronic health portals. Patients desired each care interval (e.g., the time from mammogram to breast biopsy) to be approximately 7 days, with longer intervals sometimes preferred prior to surgery.

These patient interviews identify areas of delay and provide patient-centered, actionable items to improve the timeliness of breast cancer care.

The impact of the coronavirus disease 2019 (COVID-19) on hepatocellular carcinoma (HCC) care is unclear. This study reports on HCC patterns during the COVID-19 pandemic in the Netherlands.

Patients diagnosed with HCC between 2017 and 2020 were identified from the Netherlands Cancer Registration. Monthly incidence rates were compared between 2020 and 2017-2019. Patient, tumor, process, and treatment characteristics and survival were compared between 2020 and 2017-2019, and between COVID-high (April and May 2020) and COVID-low (June and July 2020) months.

The incidence of HCC was lower in May 2020 (IRR 0.56, P = 0.001) and higher in June 2020 (IRR 1.32, P = 0.05) compared to the same months in 2017-2019. In 2017-2019, 2134 patients presented with HCC, compared to 660 in 2020. Time-to-treatment was shorter in 2020 (median 60 vs. 70 days, P < 0.001). The percentage of patients undergoing any treatment did not differ, yet if treatment was not performed this was more commonly due to comorbidity in 2020 (52 vs. 39%, P < 0.001). No other differences were found in patient, tumor, process and treatment characteristics and survival between COVID-high and COVID-low months.

This study demonstrated no impact of the COVID-19 pandemic on HCC patients, despite a decrease in HCC diagnoses.

The delays in cancer therapies have the potential to impact disease progression by allowing the unchecked growth and spread of cancer cells. However, the understanding of the association between treatment waiting time and survival outcomes in patients with esophageal cancer (EC) is limited. This study aims to assess the impact of waiting time on survival outcomes among EC patients in Hebei province, which is recognized as one of the high-risk areas for EC in China.

A total of 9,977 non-metastatic EC patients who underwent surgical treatment were identified between 2000 and 2020. The survival outcomes of overall survival (OS) and cancer-specific survival (CSS) were determined using the Kaplan-Meier methodology. Univariate and multivariate Cox regression analysis was employed to evaluate the impact of treatment delays on OS and CSS.

The average delay time for initiating EC surgical treatment after diagnosis was 1.31 months (95%CI=1.29-1.34). Patients with a long delay (≥ 3 months) in treatment, comprising 9977 EC patients, exhibited significantly lower rates of 3-, 5-, and 10-year OS and CSS compared to those without any delay in treatment initiation. A long delay in EC treatment independently associated with an elevated risk of all-cause and cancer-cause mortality among various patient subgroups, including males, older individuals, single individuals, low-income patients, residents of nonmetropolitan counties, as well as those diagnosed with poorly differentiated and stage IV EC.

The long delay of treatment initiation impacts the outcomes of OS and CSS in EC patients. Optimizing treatment timing may enhance life expectancy for individuals diagnosed with EC.

Access to medical care extends to not only the timely and appropriate receipt of services but also addresses inclusivity and underlying determinants of health. Given that patients from disadvantaged backgrounds have been shown to be more likely to experience delays in care, a same day access scheduling initiative was proposed to address this equity issue. Therefore, this study aims to evaluate our experience, focusing on identifying socioeconomic and demographic patterns of same day access utilization.

From March 2021 to January 2023, all patients referred for new consultation to a tertiary care-based radiation oncology department were offered same day appointments as part of a prospective pilot initiative. Descriptive statistics were used to identify factors predictive of utilization.

On multivariate analysis, patient characteristics independently associated with higher odds of same day access utilization included low-income status ([OR] = 3.70, 95% CI (1.47-6.14)) and Black or Latino race ([OR] = 4.05, 95% CI: 1.72-9.11).

While we were unable to acquire data on actual clinical outcomes for patients opting for same day appointments, the enthusiasm for this program was obvious.

Patients from disadvantaged backgrounds and vulnerable segments of the population were more likely to elect for same day appointments. Implications on health equity are discussed.

Patient-centered approaches to overcome barriers of access can potentially help ensure that care is equitable.

Our findings, representing the first published data analyzing a longitudinal experience with same day appointments in oncology, strongly suggest that certain disadvantaged populations may benefit more from access initiatives.

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.

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.

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.

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.

Despite increasing wait times for oncologic care in the US, research has yet to examine the impact of COVID-19 on wait times to first appointments for gynecologic oncology patients. We sought to audit mean wait times, during and after the height of the pandemic, for an outpatient appointment with a gynecologic oncologist in the US.

Office phone numbers were identified from the searchable Society for Gynecologic Oncology specialist patient-facing database. Using a "mystery caller" study approach, each unique phone number was called in 2020 and 2023. The caller asked for the soonest appointment available for her mother, who was recently found to have a 10 cm pelvic mass. The date of the soonest appointment and physician and office demographics were collected.

A total of 222 gynecologic oncology practices were called across 45 states and the District of Columbia. There was no difference in wait time post-COVID-19, highlighting an undescribed resilience in the face of unprecedented healthcare system stress. However, we also identified three major barriers to appointment scheduling including incorrect contact information in patient-facing databases, unanswered phones, and mandatory physician referrals prior to appointment scheduling.

Understanding factors influencing appointment wait times is essential to mitigating harm in oncologic care. Ours is the first nationwide audit of COVID-19's impact on barriers to gynecologic oncology care. While we highlight a surprising lack of increase in wait times between 2020 and 2023, we also identify actionable barriers to care such as updating public patient-facing information online.

Racial disparities in receipt of guideline-concordant care (GCC) among older patients with potentially curable breast cancer are understudied.

To determine whether rates of GCC, time to treatment initiation, and all-cause mortality in stage I to III breast cancer differ by race among older adults.

This cohort study used data from the National Cancer Database and included patients aged 65 years and older with stage I to III breast cancer, diagnosed between 2010 and 2019. Data analysis was conducted between July 2022 to July 2023.

Race, defined as non-Hispanic Black or non-Hispanic White.

The primary outcome was nonreceipt of GCC, defined using the National Comprehensive Cancer Network guidelines, and all-cause mortality. The secondary outcome was time to treatment initiation. Univariate and multivariate regression analysis were used to determine association between exposure and outcomes. Models for GCC and all-cause mortality included age, stage, receptor status, year of diagnosis, Charlson-Deyo comorbidity index, insurance, health care setting, and neighborhood-level educational attainment and median income.

The analytic cohort included 258 531 participants (mean [SD] age, 72.5 [6.0] years), with 25 174 participants who identified as non-Hispanic Black (9.7%) and 233 357 participants who identified as non-Hispanic White (90.3%), diagnosed between 2010 and 2017. A total of 4563 non-Hispanic Black participants (18.1%) and 35 374 non-Hispanic White participants (15.2%) did not receive GCC. Non-Hispanic Black race, compared with non-Hispanic White race, was associated with increased odds of not receiving GCC in the multivariate analysis (adjusted odds ratio [aOR], 1.13; 95% CI, 1.08-1.17; P < .001). Non-Hispanic Black race was associated with 26.1% increased risk of all-cause mortality in the univariate analysis, which decreased to 4.7%, after adjusting for GCC and clinical and sociodemographic factors (adjusted hazard ratio, 1.05; 95% CI, 1.01-1.08; P = .006). Non-Hispanic White race, compared with non-Hispanic Black race, was associated with increased odds of initiating treatment within 30 (OR, 1.65; 95% CI, 1.6-1.69), 60 (OR, 2.11; 95% CI, 2.04-2.18), and 90 (OR, 2.39; 95% CI, 2.27-2.51) days of diagnosis.

In this cohort study, non-Hispanic Black race was associated with increased odds of not receiving GCC and less timely treatment initiation. Non-Hispanic Black race was associated with increased all-cause mortality, which was reduced after adjusting for GCC and clinical and sociodemographic factors. These findings suggest that optimizing timely receipt of GCC may represent a modifiable pathway to improving inferior survival outcomes among older non-Hispanic Black patients with breast cancer.

Black and White women undergo screening mammography at similar rates, but racial disparities in breast cancer outcomes persist. To assess potential contributors, we investigated delays in follow-up after abnormal imaging by race/ethnicity.

Women who underwent screening mammography at our urban academic center from January 2015 to February 2018 and received a Breast Imaging Reporting and Data System 0 assessment were included. Kaplan-Meier estimates described distributions of time between diagnostic events from (1) screening to diagnostic imaging and (2) diagnostic imaging to biopsy. Multivariable logistic regression models estimated the associations between race/ethnicity and receipt of follow-up within 15 and 30 days.

Two thousand five hundred and fifty-four women were included (48.6% non-Hispanic [NH] Black, 38.2% NH White, 13.1% other/unknown). Median time between screening and diagnostic imaging varied by race/ethnicity (White: 7 days [IQR, 2-14]; Black: 12 days [IQR, 7-23]; other/unknown: 9 days [IQR, 5-21]). There were similar disparities in days between diagnostic imaging and biopsy (White: 12 [IQR, 7-24]; Black: 21 [IQR, 13-37]; other/unknown: 16 [IQR, 9-30]) and between screening and biopsy (White: 20 [IQR, 11-41]; Black: 35 [IQR, 22-63]; other/unknown: 27.5 [IQR, 17-42]). After adjustment, odds of diagnostic imaging follow-up within 15 days of screening were lower for Black versus White women (odds ratio, 0.59 [95% CI, 0.44 to 0.80]; P < .001).

In this diverse cohort, disparities in timely diagnostic follow-up after abnormal breast screening were observed, with Black women waiting 1.75 times as long as White women to obtain a tissue diagnosis. National guidelines for time to diagnostic follow-up may facilitate more timely breast cancer care and potentially affect outcomes.

Erythrocytes and fibroblasts in the pancreatic cancer tumor microenvironment promote tumor cell growth and invasion by providing nutrients and promoting immunosuppression. Additionally, they form a barrier against the penetration of chemotherapeutic drugs. Therefore, the search for diversified tumor-targeting materials plays an essential role in solving the above problems.

Physicochemical characterization of Graphene fluorescent nanoparticles (GFNPs) and nanomedicines were analyzed by transmission electron microscopy (TEM), elemental analyzers and ultraviolet fluorescence (UV/FL) spectrophotometer. Localization of GFNPs in cell and tissue sections imaged with laser confocal microscope, fluorescence scanner and small animal in vivo imager. Qualitative detection and quantitative detection of GFNPs and GFNPs-GEM were performed using High performance liquid chromatography (HPLC).

Based on the 3 nm average dimensions, GFNPs penetrate vascular endothelial cells and smooth muscle cells, achieve up to label 30% tumor cells and 60% cancer-associated fibroblasts (CAFs) cells, and accurately label mature red blood cells in the tumor microenvironment. In orthotopic transplanted pancreatic cancer models, the fluorescence intensity of GFNPs in tumors showed a positive correlation with the cycle size of tumor development. The differential spatial distribution of GFNPs in three typical clinical pancreatic cancer samples demonstrated their diagnostic potential. To mediate the excellent targeting properties of GFNPs, we synthesized a series of nanomedicines using popular chemotherapeutic drugs, in which complex of GFNPs and gemcitabine (GFNPs-GEM) possessed stability in vivo and exhibited effective reduction of tumor volume and fewer side effects.

GFNPs with multiple targeting tumor microenvironments in pancreatic cancer possess diagnostic efficiency and therapeutic potential.

The time from breast cancer surgery to chemotherapy has been shown to affect survival outcomes; however, the effect of time from first breast cancer-related healthcare contact to first cancer specialist consultation, or the time from first breast cancer-related healthcare contact to adjuvant chemotherapy on survival has not been well explored. We aimed to determine whether various wait times along the breast cancer treatment pathway (contact-to-consultation, contact-to-chemotherapy, surgery-to-chemotherapy) were associated with overall survival in women within the Canadian province of Ontario.

We performed a population-based retrospective cohort study of women diagnosed with stage I-III breast cancer in Ontario between 2007 and 2011 who received surgery and adjuvant chemotherapy. This was the Ontario cohort of a larger, nationwide study (the Canadian Team to improve Community-Based Cancer Care along the Continuum - CanIMPACT). We used Cox-proportional hazards regression to determine the association between the contact-to-consultation, contact-to-chemotherapy, and surgery-to-chemotherapy intervals and overall survival while adjusting for cancer stage, age, comorbidity, neighborhood income, immigration status, surgery type, and method of cancer detection.

Among 12,782 breast cancer patients, longer surgery-to-chemotherapy intervals (HR 1.13, 95% CI 1.03-1.18 per 30-day increase), but not the contact-to-consultation (HR 0.979, 95% CI 0.95-1.01 per 30-day increase), nor the more comprehensive contact-to-chemotherapy intervals (HR 1.00, 95% CI 0.98-1.02 per 30-day increase) were associated with decreased survival in our adjusted analyses.

Our findings emphasize the prognostic importance of a shorter surgery-to-chemotherapy interval, whereas the contact-to-consultation and contact-to-chemotherapy intervals have less impact on survival outcomes.

Our analysis was designed to characterize the demographics and disparities between the diagnosis of pancreas cancer during emergency presentation (EP) and the outpatient setting (OP) and to see the impact of our institutions pancreatic multidisciplinary clinic (PMDC) on these disparities.

Institutional review board-approved retrospective review of our institutional cancer registry and PMDC databases identified patients diagnosed/treated for pancreatic ductal adenocarcinoma between 2014 and 2022. Chi-square tests were used for categorical variables, and one-way ANOVA with a Bonferroni correction was used for continuous variables. Statistical significance was set at p < 0.05.

A total of 286 patients met inclusion criteria. Eighty-nine patients (31.1%) were underrepresented minorities (URM). Fifty-seven (64.0%) URMs presented during an EP versus 100 (50.8%) non-URMs (p = 0.037). Forty-one (46.1%) URMs were reviewed at PMDC versus 71 (36.0%) non-URMs (p = 0.10). No differences in clinical and pathologic stage between the cohorts (p = 0.28) were present. URMs took 22 days longer on average to receive treatment (66.5 days vs. 44.8 days, p = 0.003) in the EP cohort and 18 days longer in OP cohort (58.0 days vs. 40.5 days, p < 0.001) compared with non-URMs. Pancreatic Multidisciplinary Clinic enrollment in EP cohort eliminated the difference in time to treatment between cohorts (48.3 days vs. 37.0 days; p = 0.151).

Underrepresented minorities were more likely to be diagnosed via EP and showed delayed times to treatment compared with non-URM counterparts. Our PMDC alleviated some of these observed disparities. Future studies are required to elucidate the specific factors that resulted in these findings and to identify solutions.

The treatment process of tumors in surgical patients is typically prompt and efficient, whereas non-surgical patients are more prone to treatment delay due to various factors. However, the relationship between treatment delay and survival outcomes in non-surgical Esophageal cancer (EC) patients has received limited study. This study aims to evaluate the impact of waiting time from diagnose to treatment on survival outcomes among non-surgical EC patients in Shandong Province, China. Over a 20-year follow-up period, a total of 12,911 patients diagnosed with EC and not receiving surgical intervention were identified from 2000 to 2020. The Kaplan-Meier methodology was employed to determine overall survival (OS) and cancer-specific survival (CSS). Univariate and multivariate Cox regression analyses were performed to evaluate the impact of treatment delays on future outcomes. The nonlinear association between waiting time and survival outcomes was investigated using restricted cubic spline (RCS) functions. The average delay in initiating EC treatment from the initial medical consultation for symptoms of EC was 1.18 months (95%CI=1.16-1.20). Patients with a long delay (≥3 months) in treatment demonstrated significantly lower rates of 1-, 3-, and 5-year OS and CSS compared to those with a brief delay in treatment initiation. A long delay in EC treatment independently associated with an increased risk of mortality from all causes and cancer. The association between waiting time and both all-cause and cause-specific mortality illustrated a pronounced J-shaped pattern. The prolong delay in treatment initiation significantly impacts the OS and CSS outcomes for non-surgical EC patients. Timely administration of treatment has the potential to enhance survival outcomes in patients with EC who are ineligible for surgery, including those in advanced stages without surgical options available.

Evaluate the effect of treatment delay on survival in human papillomavirus (HPV)-positive and HPV-negative oropharyngeal squamous cell carcinoma (OPSCC) patients undergoing primary surgical resection.

Retrospective cohort study using the 2010-2017 National Cancer Database.

Multicenter database study.

Patients >18 years old with OPSCC and known HPV status, treated surgically with or without postoperative radiation/chemotherapy were included. Two cohorts based on HPV status were grouped by time to treatment initiation (TD-TI, ≤30, 31-60, ≥61 days) and surgery to radiotherapy (TS-RT, ≤42, 43-66, ≥67 days). Univariate, Kaplan-Meier, and multivariate analyses assessed correlations between demographic and clinical factors with overall survival in treatment delay groups.

Included were 1643 HPV-positive OPSCC patients and 391 HPV-negative OPSCC patients. No associations between survival and gender, age, race, insurance, or radiotherapy length were observed. Regardless of HPV status, larger tumor size (>2 cm) and lymphovascular invasion predicted worse survival. HPV negative patients with >4 lymph nodes involved had 2.5× greater mortality risk (P = .039). Robotic surgery was associated with improved survival only in HPV positive patients (hazard ratio [HR]: 0.41, P < .001). In HPV positive patients, higher TD-TI related to lower mean survival, although this was not significant on multivariate analysis. HPV negative patients with >42 days of TS-RT had decreased survival (43-66 days, HR 1.63, P = .049; ≥67 days, HR 2.10, P = .032).

Longer TS-RT was associated with lower overall survival in HPV negative patients. Treatment delay was not associated with survival in HPV positive OPSCC according to multivariate analysis. These findings enhance knowledge about treatment delay effects in OPSCC, aiding providers in decisions and patient communication.

Transportation is a significant social determinant of health and a barrier to treatment for many patients. Cancer patients are disproportionately affected, and it can be especially salient for patients undergoing several weeks of daily radiation treatment. A prospective survey pilot study at our institution examining financial toxicity related to transportation for patients undergoing radiation treatment showed a correlation between high transportation costs and financial stress. Furthermore, those living >10 miles from the radiation center were associated with worse financial toxicity. Previous programs implemented to address the transportation issue in oncology have been mainly inadequate or ineffective. These programs have been set back due to a lack of awareness and low utilization. The Health Equity Achievement in Radiation Therapy (HEART) adjustment from the proposed Radiation Oncology Case Rate (ROCR) payment model for radiation oncology will greatly alleviate transportation barriers for patients undergoing radiation treatment. The $500 per patient can be utilized for those patients at the highest risk, like those living far away from the radiation center.

The Affordable Care Act expanded Medicaid coverage for people with low income in the United States. Expanded insurance coverage could promote more timely access to cancer treatment, which could improve overall survival (OS), yet the long-term effects of Medicaid expansion (ME) remain unknown. We evaluated whether ME was associated with improved timely treatment initiation (TTI) and 3-year OS among patients with breast, cervical, colon, and lung cancers who were affected by the policy.

Medicaid-insured or uninsured patients aged 40-64 with stage I-III breast, cervical, colon, or non-small cell lung cancer within the National Cancer Database (NCDB). A difference-in-differences (DID) approach was used to compare changes in TTI (within 60 days) and 3-year OS between patients in ME states versus nonexpansion (NE) states before (2010-2013) and after (2015-2018) ME. Adjusted DID estimates for TTI and 3-year OS were calculated using multivariable linear regression and Cox proportional hazards regression models, respectively.

ME was associated with a relative increase in TTI within 60 days for breast (DID = 4.6; p < 0.001), cervical (DID = 5.0 p = 0.013), and colon (DID = 4.0, p = 0.008), but not lung cancer (p = 0.505). In Cox regression analysis, ME was associated with improved 3-year OS for breast (DID hazard ratio [HR] = 0.82, p = 0.009), cervical (DID-HR = 0.81, p = 0.048), and lung (DID-HR = 0.87, p = 0.003). Changes in 3-year OS for colon cancer were not statistically different between ME and NE states (DID-HR, 0.77; p = 0.075).

Findings suggest that expanded insurance coverage can improve treatment and survival outcomes among low income and uninsured patients with cancer. As the debate surrounding ME continues nationwide, our findings serve as valuable insights to inform the development of policies aimed at fostering accessible and affordable healthcare for all.

It remains unclear today whether the poor prognosis of pancreatic ductal adenocarcinoma (PDAC) was further worsened by the COVID-19 pandemic and whether this may affect providers and patients, today. Hence, this study aimed to investigate the effect of COVID-19 on care delivery and outcomes of patients with PDAC in the United States.

The National Cancer Database was queried for PDAC, between 2017 and 2020. Changes in the number of diagnoses and treatment patterns were compared annually for the entire cohort. Changes in surgical outcomes and median time from diagnosis to treatment were compared and analyzed. Chi-square, Mann-Whitney U, and Kruskal-Wallis tests were performed.

Of 127,613 patients with PDAC, PDAC diagnoses from 2017 (30,573) to 2019 (33,465) increased but decreased in 2020 (31,218). The number of patients receiving surgery or radiotherapy was stable between 2017 to 2019 (21.75% ± 0.05% and 13.9% ± 0.3%, respectively) but decreased in 2020 (20.7% and 12.4% respectively). Although patients received chemotherapy with increasing frequently from 2016 (60.7%) to 2019 (63.5%), this trend stopped in 2020 (63%). Of 27,490 patients undergoing surgery, the mean time from diagnosis to surgery increased from 2017 (34 days) to 2019 (56 days), with an increase in delay in 2020 (81 days). Moreover, patients who were tested for COVID-19, had a longer median time from diagnosis to surgery even if tested negative (COVID+, 140 days; COVID-, 112 days; P < .001).

Although the oncologic quality of PDAC surgery remained the same during the pandemic, not only did the pandemic lead to an underdiagnosis of PDAC and care delays, but even the suspicion of COVID-19 in patients with a negative test adversely affected their care.

Time-to-treatment initiation is an important consideration for patients undergoing thoracic surgery for early-stage lung cancer because delays have the potential to adversely affect outcomes. This study seeks to quantify time-to-treatment initiation for patients with clinical stage I lung cancer, explore patient factors and predictors that lead to an increased time-to-treatment initiation, and compare surgeon perception of appropriate time-to-treatment initiation to the results.

Time-to-treatment initiation was determined for patients enrolled in the Mount Sinai Initiative for Early Lung Cancer Research on Treatment study who underwent surgical resection for clinical stage I lung cancer between March 2016 and December 2021. The following dates were determined: (1) date of first suspicious radiologic imaging, (2) date of first biopsy, and (3) date of surgery. A total of 15 thoracic surgeons who participated in the Mount Sinai Initiative for Early Lung Cancer Research on Treatment were assessed on their perception on time-to-treatment initiation.

For 638 patients, median time from first suspicious imaging findings to biopsy was 40 days, biopsy to surgery was 37 days, and suspicious imaging to surgery was 84 days. Significant factors that resulted in longer time-to-treatment initiation in the multivariate analysis were African American or Black race (P = .005), vascular disease (P = .01), and median household income less than $75,000 (P = .04). Although the surgeon's perception was that the average time from biopsy to surgery was 28 days, it was longer for 63.5% of participants; surgeon perception of maximum time between diagnosis and surgery was 84 days and longer for 28.7% of participants.

Patient factors such as race, income, and comorbidities were found to have differences in time-to-treatment initiation. Delays to surgery exceeded the expectations of thoracic surgeons.

New patient referrals are often processed by practice coordinators with little-to-no medical background. Treatment delays due to incorrect referral processing, however, have detrimental consequences. Identifying variables that are associated with a higher likelihood of surgical oncological resection may improve patient referral processing and expedite the time to treatment. The study objective is to develop a supervised machine learning (ML) platform that identifies relevant variables associated with head and neck surgical resection.

A retrospective cohort study was conducted on 64 222 patient datapoints from the SEER database.

The random forest ML model correctly classified patients who were offered head and neck surgery with an 81% accuracy rate. The sensitivity and specificity rates were 86% and 71%. The positive and negative predictive values were 85% and 73%.

ML modeling accurately predicts head and neck cancer surgery recommendations based on patient and cancer information from a large population-based dataset. ML adjuncts for referral processing may decrease the time to treatment for patients with cancer.

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.

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.

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).

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.

GOV : NCT02980848 registered December 2, 2016.

Specialty medications are commonly dispensed through specialty pharmacies equipped to meet unique monitoring and dispensing requirements. Integrated health system specialty pharmacies (HSSPs) coordinate with health system providers to deliver specialty medications to patients and ameliorate barriers to care. However, payors may restrict specialty medication fills to specialty pharmacies external to the health system, potentially leading to delayed treatment.

To compare time to treatment initiation among patients whose specialty medications were transferred to external pharmacies and patients whose medications were filled at an internal HSSP.

This was a retrospective, propensity-matched cohort study examining time to treatment initiation in patients with a specialty medication referral to the University of Kentucky HealthCare Specialty Pharmacy between July 1, 2021, and July 1, 2022. Patients were classified into cohorts by receipt of dispensing services from the internal HSSP or an external specialty pharmacy. Data collected via chart review included insurance type, reason for prescription transfer, dates of service (including prescription order, transfer, and receipt of medication), and whether a prior authorization or clinical intervention was performed. Subgroup analyses were performed for patients requiring a prior authorization or clinical intervention. The Wilcoxon signed-rank test was used to assess for statistically significant differences in time to treatment initiation between cohorts.

A total of 560 patients with external transfers were identified for inclusion into the study, and after exclusion criteria were applied, 408 external transfer patients were propensity matched 1:1 to 408 patients with internal fills (total n = 816). Time to treatment initiation was significantly longer in the external transfer cohort as compared with the internal fill cohort, (18 days vs 12 days; P < 0.0001). The internal fill cohort had a greater mean days from provider order to the medication being ready to fill compared with the external transfer cohort (10 days vs 6 days; P < 0.0001). The internal fill cohort had fewer mean days from the medication being ready to fill to patient receipt of the medication as compared with the external transfer cohort (2 days vs 12 days; P < 0.0001). Similar findings were observed in the subgroup analyses.

Average time to treatment initiation was 6 days shorter for patients whose specialty medications were filled at this HSSP compared with externally transferred patients. Delays in therapy can cause a negative impact on patient care and disease state management, with increased concern for specialty populations. The results of this study highlight the need for continued discussion about policies that limit patient choice to in-network pharmacies.

External beam radiotherapy is a complex process, involving timely coordination among multiple teams. The aim of this study is to report our experience of establishing a standardized workflow and using quantitative data and metrics to manage the time-to-treatment initiation (TTI).

Starting in 2014, we established a standard process in a radiation oncology-specific electronic medical record system (RO-EMR) for patients receiving external beam radiation therapy in our department, aiming to measure the time interval from simulation to treatment initiation, defined as TTI, for radiation oncology. TTI data were stratified according to the following treatment techniques: three-dimensional (3D) conformal therapy, intensity-modulated radiotherapy (IMRT), and stereotactic body radiotherapy (SBRT). Statistical analysis was performed with the Mann-Whitney test for the respective metrics of aggregate data for the initial period 2012- 2015 (PI) and the later period 2016-2019 (PII).

Over 8 years, the average annual number of treatments for PI and PII were 1760 and 2357 respectively, with 3D, IMRT, and SBRT treatments accounting for 53, 29, 18% and 44, 34, 22%, respectively, of the treatment techniques. The median TTI for 3D, IMRT, and SBRT for PI and PII were 1, 6, 7, and 1, 5, 7 days, respectively, while the 90th percentile TTI for the three techniques in both periods were 5, 9, 11 and 4, 9, 10 days, respectively. From the aggregate data, the TTI was significantly reduced (p = 0.0004, p < 0.0001, p < 0.0001) from PI to PII for the three treatment techniques.

Establishing a standardized workflow and frequently measuring TTI resulted in shortening the TTI during the early years (in PI) and maintaining the established TTI in the subsequent years (in PII).

There is a paucity of studies investigating cancer disparities in groups defined by ethnicity in transitioning economies. We examined the influence of ethnicity on mortality for the leading cancer types in São Paulo, Brazil, comparing patterns in the capital and the northeast of the state.

Cancer deaths were obtained from a Brazilian public government database for the Barretos region (2003-2017) and the municipality of São Paulo (2001-2015). Age-standardized rates (ASR) per 100,000 persons-years, by cancer type and sex, for five self-declared racial classifications (white, black, eastern origin (Asian), mixed ethnicity (pardo), and indigenous Brazilians), were calculated using the world standard population.

Black Brazilians had higher mortality rates for most common cancer types in Barretos, whereas in São Paulo, white Brazilians had higher rates of mortality from breast, colorectal, and lung cancer. In both regions, lung cancer was the leading cause of cancer death among white, black, and pardo Brazilians, with colorectal cancer deaths leading among Asian Brazilians. Black and pardo Brazilians had higher cervical cancer mortality rates than white Brazilians.

There are substantial disparities in mortality from different cancers in São Paulo according to ethnicity, pointing to inequities in access to health care services.

Social determinants of health posit that negative outcomes are influenced by individuals living in underserved and underresourced neighborhoods.

This study examines a cancer diagnosis, race/ethnicity, age, geographic location (residence), education, and social economic status factors at disease onset and treatment.

A multivariable PO regression analysis was run for quality of care at testing or diagnosis, and quality of care at treatment and the quality of received care compared with another person.

Participants are representative of the Southern Community Cohort Study (SCCS) of adults diagnosed with breast (n = 263), prostate (n = 195), lung (n = 46), colorectal (n = 105), or other cancers (n = 526). This study includes cancer survivors who completed the SCCS Baseline and Cancer Navigation Surveys in urban (73.13%) and rural (26.87%) areas. White participants reported a higher quality of received care for testing or diagnosis and care for treatment compared with Black participants. Participants with high school or equivalent education (odds ratio, 1.662; 95% confidence interval, 1.172-2.356; P = .0044) or some college or junior college education (odds ratio, 1.970; 95% confidence interval, 1.348-2.879; P = .0005) were more likely to report a better level of quality of received care for treatment.

The SCCS represents individuals who are historically underrepresented in cancer research. The results of this study will have broad implications across diverse communities to reduce disparities and inform models of care.

Nurses are positioned to evaluate the quality of population health and design and lead interventions that will benefit underserved and underresourced communities.

Hispanics and American Indians (AI) have high kidney cancer incidence and mortality rates in Arizona. This study assessed: (1) whether racial and ethnic minority patients and patients from neighborhoods with high social vulnerability index (SVI) experience a longer time to surgery after clinical diagnosis, and (2) whether time to surgery, race and ethnicity, and SVI are associated with upstaging to pT3/pT4, disease-free survival (DFS), and overall survival (OS).

Arizona Cancer Registry (2009-2018) kidney and renal pelvis cases (n = 4592) were analyzed using logistic regression models to assess longer time to surgery and upstaging. Cox-regression hazard models were used to test DFS and OS.

Hispanic and AI patients with T1 tumors had a longer time to surgery than non-Hispanic White patients (median time of 56, 55, and 45 days, respectively). Living in neighborhoods with high (≥75) overall SVI increased odds of a longer time to surgery for cT1a (OR 1.54, 95% CI: 1.02-2.31) and cT2 (OR 2.32, 95% CI: 1.13-4.73). Race and ethnicity were not associated with time to surgery. Among cT1a patients, a longer time to surgery increased odds of upstaging to pT3/pT4 (OR 1.95, 95% CI: 0.99-3.84). A longer time to surgery was associated with PFS (HR 1.52, 95% CI: 1.17-1.99) and OS (HR 1.63, 95% CI: 1.26-2.11). Among patients with cT2 tumor, living in high SVI neighborhoods was associated with worse OS (HR 1.66, 95% CI: 1.07-2.57).

High social vulnerability was associated with increased time to surgery and poor survival after surgery.