Observations on the Representation of Asians in Surgical Training and Leadership.

INTRODUCTION: Diversity in medicine has a positive effect on outcomes, especially for Asian patients. We sought to evaluate representation of Asians across entry and leadership levels in surgical training. METHODS: Publicly accessible population data from 2018 to 2023 were collected from the US Census Bureau, the Association of American Medical Colleges, and the American Board of Surgery (ABS). Frequencies based on self-identified Asian status were identified, and proportions were calculated. RESULTS: The US census showed Asians constituted 4.9% of the US population in 2018 versus 6% in 2023. The proportion of Asian medical students rose from 21.6% to 24.8%; however, Asian surgical residency applicants remained constant at 20%. ABS certifications of Asians have increased from 13.7% to 18.5%. ABS examiners increased from 15.7% to 17.1%. CONCLUSIONS: In 5 years, Asians have made numeric gains in medical school and surgical training. However, Asian representation lags at Board examiner levels compared to the medical student population. The ABS has made recent efforts at transparency around examiner and examinee characteristics. A pillar of ensuring a well-trained surgical workforce to serve the public is to mandate that all surgical trainees and graduates undergo fair examinations, and are fairly assessed on their qualifications. Observed progress should further invigorate all surgical applicants, residents and leadership to take an even more active role in making surgery more diverse and welcoming to all, by including careful analyses of diversity at all levels.

Scheduled Follow-Up and Association with Emergency Department Use and Readmission after Trauma.

BACKGROUND: After traumatic injury, 13-14% of patients utilize the emergency department (ED) and 11% are readmitted within 30 days. Decreasing ED visits and readmission represents a target for quality improvement. This cohort study evaluates risk factors for ED visits and readmission after trauma, focusing on outpatient follow-up. STUDY DESIGN: We conducted a retrospective chart review of adult trauma admissions from 1/1/2018-12/31/2021. Our primary exposure was outpatient follow-up, our primary outcome was ED use, and our secondary outcome was readmission. Multivariable logistic regression evaluated the association between primary exposure and outcomes, adjusting for factors identified on unadjusted analysis. RESULTS: 2,266 patients met inclusion criteria, with an 11.3% ED visit rate and 4.1% readmission rate. Attending follow-up did not have a significant association with ED visits (OR 0.99, 95% CI 0.99-2.01, p=0.05) or readmission rates (OR 1.68, 95% CI 0.95-2.99, p=0.08). Significant associations with ED use included non-white race, depression, anxiety, substance use disorder, discharge disposition, and being discharged with lines or drains. Significant associations with readmission included depression, anxiety, and discharge disposition. CONCLUSION: Emphasizing outpatient follow-up in trauma patients is not an effective target to decrease ED use or readmission. Future studies should focus on supporting patients with mental health comorbidities and investigating interventions to optimally engage with trauma patients after hospital discharge.

Estimating the Impact of Rurality in Disparities in Cancer Mortality.

PURPOSE: Estimation of the independent effect of rurality on cancer mortality requires causal inference methodology and consideration of area-level socioeconomic status and rural designations. METHODS: Using SEER data, we identified key incident cancers diagnosed between 2000 and 2016 at age ≥20 years (N = 3,788,273), examining a 20% random sample (n = 757,655). Standardized competing risk and survival models estimated the association between rural residence, defined by Rural-Urban Continuum Codes, and cancer-specific and all-cause mortality, controlling for age at cancer diagnosis, sex, race/ethnicity, year of diagnosis, and Area Deprivation Index (ADI). We estimated the attributable fraction (AF) of rurality and high ADI (ADI > median) to the probability of mortality. Finally, we examined county measurement issues contributing to mortality rates discordant from hypothesized rates. RESULTS: The 5-year standardized failure probability for cancer mortality for rural patients was 33.9% versus 31.56% for urban. The AF for rural residence was 1.04% at year 1 (0.89% by year 5), the highest among local stage disease (Y1 2.1% to Y5 1.9%). The AF for high ADI was 3.33% in Y1 (2.87% in Y5), while the joint effect of rural residence and high ADI was 4.28% in Y1 (3.71% in Y5). Twenty-two percent of urban counties and 30% of rural were discordant. Among discordant urban counties, 30% were only considered urban because of adjacency to metro area. High ADI was associated with urban discordance and low ADI with rural discordance. CONCLUSION: Rural residence independently contributes to cancer mortality. The rural impact is the greatest among those with localized disease and in high deprivation areas. Rural-urban county designations may mask high-need urban counties, limiting eligibility to state and federal resources dedicated to rural areas.

Bullet holes: A novel model to identify the most impactful gaps in the firearm homicide prevention laws of each state.

BACKGROUND: Firearm homicides (FH) are a major cause of mortality in the United States (US). Firearm law implementation is variable across states, and legislative gaps may represent opportunities for FH prevention. For each state, we sought to identify which firearm law category would have been most effective if implemented and how effective it would have been. METHODS: We conducted a retrospective cohort study examining the effects of firearm laws on FH rates in the 48 contiguous US states 2010-2019. Data were obtained from the CDC WONDER and FBI UCR databases, State Firearm Law Database, and US Census. Firearm laws were grouped into 14 categories. We assessed the association between the presence of each law category and FH rate as an incidence rate ratio (IRR) using a Poisson regression accounting for state population characteristics and laws of surrounding states. We estimated the IRR for each state that did not have a given law category present and determined which of these missing law categories would have been associated with the greatest reduction in FH rate. RESULTS: FH rates varied widely across states and increased from a mean of 3.2 (SD = 1.7) to 4.2 (SD = 2.9) FH per 100,000. All law categories were significantly associated with decreased FH rate (p < 0.05), with IRR ranging from 0.25-0.85. The most effective missing law category differed between states but was most commonly child access prevention (34.09% of states), assault weapons and large-capacity magazines (15.91%), preemption (15.91%), and concealed carry permitting (13.64%). In total across 2010-2019, we estimated that 129,599 fewer FH would have occurred with enactment of the most effective missing law category in each state. CONCLUSIONS: Modeling firearm law prevention of FH with regard to state legislative and population characteristics can identify the highest impact missing law categories in each state. These results can be used to inform efforts to reduce FH. LEVEL OF EVIDENCE: Level III, Prognostic/Epidemiological.

Risk factors for loss to follow-up after traumatic injury: An updated view of a chronic problem.

BACKGROUND: Loss to follow-up after traumatic injury occurs at rates of up to 47%. However, the most recent data are over a decade old, and recent changes in traumatic injury patterns necessitate an updated assessment of risk factors for loss to follow-up after trauma. METHODS: We conducted a retrospective chart review of trauma admissions from January 1, 2018 to December 31, 2021. Categorical variables were compared using χ2 analyses, and continuous variables were analyzed using Mann-Whitney Wilcoxon tests. Multivariable logistic regression was used to adjust for relevant factors identified on unadjusted analysis. RESULTS: Among 3,034 patients, overall loss to follow-up was 36.9%. Non-White patients, patients who underwent operations or non-surgical procedures, and patients discharged to rehabilitation facilities were more likely to have follow-up appointments within 30 days. Patients with substance use disorder and, among White patients, those with public insurance had higher loss to follow-up rates. Having a follow-up appointment scheduled with a primary care provider was the single most significant factor associated with attending a follow-up appointment. CONCLUSION: Social determinants of health, such as insurance status and substance use disorder, are associated with loss of follow-up after trauma. Primary care appointments are associated with the highest attendance rates, supporting that all patients should be offered primary care appointments after traumatic injury.

Social Determinants of Health Associated With the Need for Urgent Versus Elective Cholecystectomy at an Urban, Safety-Net Hospital.

Background: Benign gallstone disease is the most frequent indication for cholecystectomy in the United States. Many patients present with complicated disease requiring urgent interventions, which increases morbidity and mortality. We investigated the association between individual and population-level social determinants of health (SDoH) with urgent versus elective cholecystectomy. Patients and Methods: All patients undergoing cholecystectomy (2014-2021) for benign gallstone disease were included. Demographic and clinical data were linked to population-level SDoH characteristics using census tracts. Data were analyzed using descriptive and inferential statistics. Results: A total of 3,197 patients met inclusion criteria; 1,913 (59.84%) underwent urgent cholecystectomy, 1,204 (37.66%) underwent emergent cholecystectomy, and 80 (2.5%) underwent interval cholecystectomy. On multinomial logistic regression, patients who were older (relative risk [RR], 1.010; p < 0.001), black (RR, 1.634; p = 0.008), and living in census tracts with a higher percent of poverty (RR, 0.017; p = 0.021) had a higher relative risk of presenting for urgent cholecystectomy. Patients who were female (RR, 0.462; p < 0.001), had a primary care provider (PCP; RR, 0.821; p = 0.018), and lived in census tracts with low supermarket access (RR, 0.764; p = 0.038) had a lower relative risk of presenting for urgent cholecystectomy. Only age (RR, 1.066; p < 0.001), female gender (RR, 0.227; p < 0.001), and having a PCP (RR, 1.984; p = 0.034) were associated with presentation for interval cholecystectomy. Conclusions: Patients who were older, black, and living in census tracts with high poverty levels had a higher relative risk of presenting for urgent cholecystectomy at our institution, whereas females and patients with PCPs were more likely to undergo elective cholecystectomy. Improved access to primary care and surgical clinics for all patients at safety-net hospitals may result in improved outcomes in the management of benign gallstone disease by increasing diagnosis and treatment in the elective setting.

Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis.

INTRODUCTION: Rural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, and determine at-risk county profiles alongside rural settings. METHODS: Patients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings. There were 757,655 patients representing 596 counties (of 3,143 in the U.S.) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to 5-year all-cause survival and the contribution of the rural effect indirectly through County Health Ranking domains. Latent class analysis and survival models identified county groupings and estimated the hazard of mortality associated with class membership. RESULTS: Rankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% less survival time than urban patients. Of this, 4.1%-12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban lower-risk counties (hazard ratio=1.04, 95% CI=1.01, 1.08 and 1.07, 95% CI=1.03, 1.11). CONCLUSIONS: Counties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social and economic factors, elevated the risk for rural counties.

Disparate impact of the COVID-19 pandemic on delays in colorectal cancer treatment: A National Cancer Database study.

BACKGROUND: Timely treatment for patients with colorectal cancer may have been disrupted by the COVID-19 pandemic. We evaluated the impact of the pandemic on delays to treatment with surgery or systemic therapy for patients with colorectal cancer and delineated factors predictive of delayed treatment. METHODS: Using the National Cancer Database, patients diagnosed with colorectal cancer were categorized by year of diagnosis as COVID-19 era (2020) versus pre-COVID-19 (2018-2019). Categorical variables were compared by χ2 analysis. Multivariate logistic regression was used to assess odds ratios for delayed time to surgery or chemoimmunotherapy, defined as >60 days. RESULTS: In total, 50,689 patients colorectal cancer were diagnosed patients who were pre-COVID-19 vs 21,331 within the COVID-19-era. Patients diagnosed with COVID-19 had a higher stage at diagnosis. There were no differences in the proportion of delayed time to surgery for patients diagnosed in 2020, but patients who were tested for COVID-19 had increased proportions of delayed time to surgery (P < .0001). In multivariate analysis, Black race (P = .0026) and uninsured/underinsured status (P = .0017) were associated with delayed time to surgery. Diagnosis during COVID-19 did not increase delayed time to chemoimmunotherapy, regardless of COVID-19 testing or positivity; however, delays were seen for Black (P < .0001), Hispanic (P < .0001), and uninsured/underinsured patients (P < .0001). CONCLUSION: Although the pandemic did not delay treatment for colorectal cancer overall, vulnerable and underserved populations were disproportionately affected by delays to all forms of therapy. The difference in colorectal cancer outcomes in the coming years as a result of delays in treatment may be significant for these patients.

Breast Cancer Screening and BI-RADS Scoring Trends Before and During the COVID-19 Pandemic in an Academic Safety-Net Hospital.

BACKGROUND: Little is known about how the COVID-19 pandemic affected screening mammography rates and Breast Imaging Reporting and Data Systems (BI-RADS) categorizations within populations facing social and economic inequities. Our study seeks to compare trends in breast cancer screening and BI-RADS assessments in an academic safety-net patient population before and during the COVID-19 pandemic. PATIENTS AND METHODS: Our single-center retrospective study evaluated women ≥ 18 years old with no known breast cancer diagnosis who received breast cancer screening from March 2019-September 2020. The screening BI-RADS score, completion of recommended diagnostic imaging, and diagnostic BI-RADS scores were compared between the pre-COVID-19 era (from 1 March 2019 to 19 March 2020) and COVID-19 era (from 20 March 2020 to 30 September 2020). RESULTS: Among the 11,798 patients identified, screened patients were younger (median age 57 versus 59 years, p < 0.001) and more likely covered by private insurance (35.9% versus 32.3%, p < 0.001) during the COVID-19 era compared with the pre-COVID-19 era. During the pandemic, there was an increase in screening mammograms categorized as BI-RADS 0 compared with the pre-COVID-19 era (20% versus 14.5%, p < 0.0001). There was no statistically significant difference in rates of completion of diagnostic imaging (81.6% versus 85.4%, p = 0.764) or assignment of suspicious BI-RADS scores (BI-RADS 4-5; 79.9% versus 80.8%, p = 0.762) between the two eras. CONCLUSIONS: Although more patients were recommended to undergo diagnostic imaging during the pandemic, there were no significant differences in race, completion of diagnostic imaging, or proportions of mammograms categorized as suspicious between the two time periods. These findings likely reflect efforts to maintain equitable care among diverse racial groups served by our safety-net hospital.

Timing to First Whole Blood Transfusion and Survival Following Severe Hemorrhage in Trauma Patients.

Importance: Civilian trauma centers have revived interest in whole-blood (WB) resuscitation for patients with life-threatening bleeding. However, there remains insufficient evidence that the timing of WB transfusion when given as an adjunct to a massive transfusion protocol (MTP) is associated with a difference in patient survival outcome. Objective: To evaluate whether earlier timing of first WB transfusion is associated with improved survival at 24 hours and 30 days for adult trauma patients presenting with severe hemorrhage. Design, Setting, and Participants: This retrospective cohort study used the American College of Surgeons Trauma Quality Improvement Program databank from January 1, 2019, to December 31, 2020, for adult patients presenting to US and Canadian adult civilian level 1 and 2 trauma centers with systolic blood pressure less than 90 mm Hg, with shock index greater than 1, and requiring MTP who received a WB transfusion within the first 24 hours of emergency department (ED) arrival. Patients with burns, prehospital cardiac arrest, deaths within 1 hour of ED arrival, and interfacility transfers were excluded. Data were analyzed from January 3 to October 2, 2023. Exposure: Patients who received WB as an adjunct to MTP (earlier) compared with patients who had yet to receive WB as part of MTP (later) at any given time point within 24 hours of ED arrival. Main Outcomes and Measures: Primary outcomes were survival at 24 hours and 30 days. Results: A total of 1394 patients met the inclusion criteria (1155 male [83%]; median age, 39 years [IQR, 25-51 years]). The study cohort included profoundly injured patients (median Injury Severity Score, 27 [IQR, 17-35]). A survival curve demonstrated a difference in survival within 1 hour of ED presentation and WB transfusion. Whole blood transfusion as an adjunct to MTP given earlier compared with later at each time point was associated with improved survival at 24 hours (adjusted hazard ratio, 0.40; 95% CI, 0.22-0.73; P = .003). Similarly, the survival benefit of earlier WB transfusion remained present at 30 days (adjusted hazard ratio, 0.32; 95% CI, 0.22-0.45; P < .001). Conclusions and Relevance: In this cohort study, receipt of a WB transfusion earlier at any time point within the first 24 hours of ED arrival was associated with improved survival in patients presenting with severe hemorrhage. The survival benefit was noted shortly after transfusion. The findings of this study are clinically important as the earlier timing of WB administration may offer a survival advantage in actively hemorrhaging patients requiring MTP.

Urban-rural differences in cancer mortality: Operationalizing rurality.

OBJECTIVE: To assess urban-rural differences in cancer mortality across definitions of rurality as (1) established binary cut-points, (2) data-driven binary cut-points, and (3) continuous. METHODS: We used Surveillance, Epidemiology, and End Results (SEER) data between 2000 and 2016 to identify incident adult screening-related cancers. Analyses were based on one testing and four validation cohorts (all n = 26,587). Urban-rural status was defined by Rural-Urban Continuum Codes, National Center for Health Statistics codes, and the Index of Relative Rurality. Each was modeled using established binary cut-points, data-driven cut-points, and as continuous. The primary outcome was 5-year cancer-specific mortality. RESULTS: Compared to established cut-points, data-driven cut-points classified more patients as rural, resulted in larger White populations in rural areas, and yielded 7%-14% lower estimates of urban-rural differences in cancer mortality. Further, hazard of cancer mortality increased 4%-67% with continuous rurality measures, revealing important between-unit differences. CONCLUSIONS: Different cut-points introduce variation in urban-rural differences in mortality across definitions, whereas using urban-rural measures as continuous allows rurality to be conceptualized as a continuum, rather than a simple aggregation. POLICY IMPLICATIONS: Findings provide alternative cut-points for multiple measures of rurality and support the consideration of utilizing continuous measures of rurality in order to guide future research and policymakers.

Death by the minute: Inequities in trauma care for victims of firearm violence.

BACKGROUND: Gunshot wounds (GSWs) remain a significant source of mortality in the United States. Timely delivery of trauma care is known to be critical for survival. We sought to understand the relationship of predicted transport time and death after GSW. Given large racial disparities in firearm violence, we also sought to understand disparities in transport times and death by victim race, an unstudied phenomenon. METHODS: Firearm mortality data were obtained from the Boston Police Department 2005 to 2023. Firearm incidents were mapped using ArcGIS. Predicted transport times for each incident to the closest trauma center were calculated in ArcGIS. Spatial autoregressive models were used to understand the relationship between victim race, transport time to a trauma center, and mortality associated with the shooting incidents. RESULTS: There were 4,545 shooting victims with 758 deaths. Among those who lived, the median transport time was 9.4 minutes (interquartile range, 5.8-13.8) and 10.5 minutes (interquartile range, 6.4-14.6; p = 0.003) for those who died. In the multivariable logistic regression, increased transport time to the nearest trauma center (odds ratio, 1.024; 95% confidence interval, 1.01-1.04) and age (odds ratio, 1.016; 95% confidence interval, 1.01-1.02) were associated with mortality. There was a modest difference in median transport time to the nearest trauma center by race with non-Hispanic Black at 10.1 minutes, Black Hispanic 9.2 minutes, White Hispanic 8.5 minutes, and non-Hispanic White 8.3 minutes ( p < 0.001). CONCLUSION: Our results highlight the relationship of transport time to a trauma center and death after a GSW. Non-White individuals had significantly longer transport times to a trauma center and predicted mortality would have been lower with White victim transport times. These data underscore the importance of timely trauma care for GSW victims and can be used to direct more equitable trauma systems. LEVEL OF EVIDENCE: Prognostic/Epidemiological; Level III.

Geriatric Assessment Impairment Profiles and Mortality in Older Adults with Gastrointestinal Cancers: Latent Class Analysis of the CARE Registry.

BACKGROUND: Many older adults with cancer have ≥2 impairments on geriatric assessment which impacts present and future frailty status, treatment tolerability, and outcomes. Our objective was to identify and describe distinct geriatric assessment impairment classes using latent class analysis (LCA) in older patients with gastrointestinal malignancies and assess 1-year mortality. METHODS: We used the Cancer & Aging Resilience Evaluation (CARE) Study, a registry of older adults (≥60 years) at University of Alabama at Birmingham. The analytic cohort included patients with gastrointestinal malignancies who completed a self-administered geriatric assessment (CARE tool) before chemotherapy and had ≥1 geriatric assessment impairment. Thirteen geriatric assessment impairments were used as indicators in LCA. Resultant classes were described, mortality was estimated, and risk contrasts (differences, hazard ratios) were calculated with 95% confidence intervals. For comparison, estimates were provided for frailty categories (robust, pre-frail, frail) determined from 44 items in the CARE tool. Stratified analyses included high-risk (pancreatic, hepatobiliary, esophageal) vs. low-risk gastrointestinal cancers, and stage (IV vs. I-III). RESULTS: Six geriatric assessment impairment classes were identified: Mild impairment (LC1); Social support impairment (LC2); Weight loss alone (LC3); Impaired, low anxiety/depression (LC4); Impaired with anxiety/depression (LC5); Global impairment (LC6). One-year mortality was 14%, 22%, 29%, 34%, 50% and 50% for LC1-LC6, respectively. For frailty categories, estimates ranged from 18% (robust) to 40% (frail). In stratified analyses, LC4-LC6 consistently had higher mortality estimates compared to LC1. CONCLUSIONS: The 6 geriatric assessment impairment classes showed a wider spread of mortality estimates compared to frailty categories and could be used to identify vulnerable patients and to plan interventions.

A machine learning framework for optimizing obesity care by simulating clinical trajectories and targeted interventions.

OBJECTIVE: This study aimed to determine the important clinical management bottlenecks that contribute to underuse of weight loss surgery (WLS) and assess risk factors for attrition at each of them. METHODS: A multistate conceptual model of progression from primary care to WLS was developed and used to study all adults who were seen by a primary care provider (PCP) and eligible for WLS from 2016 to 2017 at a large institution. Outcomes were progression from each state to each subsequent state in the model: PCP visit, endocrine weight management referral, endocrine weight management visit, WLS referral, WLS visit, and WLS. RESULTS: Beginning with an initial PCP visit, the respective 2-year Kaplan-Meier estimate for each outcome was 35% (n = 2063), 15.6% (n = 930), 6.3% (n = 400), 4.7% (n = 298), and 1.0% (n = 69) among 5876 eligible patients. Individual providers and clinics differed significantly in their referral practices. Female patients, younger patients, those with higher BMI, and those seen by trainees were more likely to progress. A simulated intervention to increase referrals among PCPs would generate about 49 additional WLS procedures over 3 years. CONCLUSIONS: This study discovered novel insights into the specific dynamics underlying low WLS use rates. This methodology permits in silico testing of interventions designed to optimize obesity care prior to implementation.

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

BACKGROUND: Adherence to current recommendations for optimal time from diagnosis to treatment for patients with breast cancer may have been disrupted by the COVID-19 pandemic. This study aimed to evaluate the impact of the pandemic on time to surgery or systemic treatment with chemotherapy or immunotherapy for patients diagnosed with breast cancer. METHODS: Using the National Cancer Database, patients diagnosed with breast cancer in 2020 were compared to those diagnosed from 2018-2019 (Pre-COVID). Sub-analyses were performed for patients who were tested for COVID-19 and those who had a positive result in 2020. Multivariate logistic regression was used assess odds ratios for delayed time to surgery (DTS, defined as > 90 days) or systemic therapy (defined as > 120 days). RESULTS: In total, 230,997 patients were diagnosed with breast cancer in 2018 and 2019 compared to 102,065 in 2020. Of the 2020 cohort, 47,659 (46.7%) received COVID-19 testing; of which, 3,158 (6.6%) resulted positive. A larger proportion of COVID-tested or COVID-positive patients had higher stage at diagnosis. DTS was more likely for patients who were diagnosed in 2020, uninsured or underinsured, non-white, Hispanic, less educated, or age < 70 years. Similar factors were predictive of delay to systemic therapy (less age < 70 years); however, diagnosis in 2020 was not. CONCLUSION: The COVID-19 pandemic was associated with significant DTS for breast cancer but spared time to systemic therapy. Delays disproportionately impacted vulnerable and underserved patient populations. The true clinical effects of these delays may yet be realized for breast cancer patients.

Understanding Causes of Inferior Outcomes in Adolescents and Young Adults With Cancer.

Individuals diagnosed with cancer as adolescents and young adults (AYAs; ages 15-39 years) face unique vulnerabilities. Compared with individuals diagnosed when younger (≤14 years) or older (≥40 years), AYAs have not seen the same improvement in survival. Furthermore, they sit at a complex moment of social, emotional, and cognitive development, and have a unique interface with the healthcare system. With these observations, NCI prioritized addressing the unique vulnerabilities among AYAs with cancer, and NCCN developed guidelines regarding optimal AYA cancer care. Improvements in certain locales have been seen in the wake of this focus on AYAs, suggesting that continuing to consider AYA outcomes in the context of their specific needs is critical as we strive toward additional improvements. However, it is key to consider the drivers of these outcomes to continue this trajectory. This review presents a holistic conceptual model that includes factors that influence outcomes among AYAs with cancer, including domains in these levels that influence both clinical outcomes (such as relapse and survival) and health-related quality of life (HRQoL). These include domains at the patient level, such as social constructs (race/ethnicity, socioeconomic status), behavior (adherence, risk-taking), biologic characteristics (cancer biology, host genetics), medical treatment (treatment regimen, risk-based survivorship care), and treatment-related toxicities. The model also includes domains at the system level, which include treatment location (NCI designation, facility model, AYA program presence), clinical trial enrollment, transdisciplinary communication, fertility preservation, and psychosocial support. Recognizing these multiple factors at the level of the individual and the healthcare system influence AYA outcomes (from HRQoL to survival), it is key not only to consider patient-level interventions and development of novel cancer agents but also to develop systems-level interventions that can be executed in parallel. In this way, the impact can be expanded to a vast number of AYAs.

The Evaluation of Gallstone Disease in the Year Before Pancreatic Cancer Diagnosis.

INTRODUCTION: Patients with pancreatic cancer can present with a variety of insidious abdominal symptoms, complicating initial diagnosis. Early symptoms of pancreatic cancer often mirror those associated with gallstone disease, which has been demonstrated to be a risk factor for this malignancy. This study aims to compare the incidence of gallstone disease in the year before diagnosis of pancreatic ductal adenocarcinoma (PDAC) as compared to the general population, and evaluate the association of gallstone disease with stage at diagnosis and surgical intervention. METHODS: Patients with PDAC were identified from SEER-Medicare (2008-2015). The incidence of gallstone disease (defined as cholelithiasis, cholecystitis and/or cholecystectomy) in the 1 year before cancer diagnosis was compared to the annual incidence in an age-matched, sex-matched, and race-matched noncancer Medicare cohort. RESULTS: Among 14,654 patients with PDAC, 4.4% had gallstone disease in the year before cancer diagnosis. Among the noncancer controls (n = 14,654), 1.9% had gallstone disease. Both cohorts had similar age, sex and race distributions. PDAC patients with gallstone disease were diagnosed at an earlier stage (stage 0/I-II, 45.8% versus 38.1%, P < 0.0001) and a higher proportion underwent resection (22.7% versus 17.4%, P = 0.0004) compared to patients without gallstone disease. CONCLUSIONS: In the year before PDAC diagnosis, patients present with gallstone disease more often than the general population. Improving follow-up care and differential diagnosis strategies may help combat the high mortality rate in PDAC by providing an opportunity for earlier stage of diagnosis and earlier intervention.

Using the TIDieR checklist to describe development and integration of a web-based intervention promoting healthy eating and regular exercise among older cancer survivors.

Objective: To facilitate replication and future intervention design of web-based multibehavior lifestyle interventions, we describe the rationale, development, and content of the AiM, Plan, and act on LIFestYles (AMPLIFY) Survivor Health intervention which provides healthy eating and exercise behavior change support for older cancer survivors. The intervention promotes weight loss, improvements in diet quality, and meeting exercise recommendations. Methods: The Template for Intervention Description and Replication (TIDieR) checklist was used to provide a comprehensive description of the AMPLIFY intervention, consistent with CONSORT recommendations. Results: A social cognitive theory web-based intervention founded on the core components of efficacious print and in-person interventions was conceptualized and developed through an iterative collaboration involving cancer survivors, web design experts, and a multidisciplinary investigative team. The intervention includes the AMPLIFY website, text and/or email messaging, and a private Facebook group. The website consists of: (1) Sessions (weekly interactive e-learning tutorials); (2) My Progress (logging current behavior, receiving feedback, setting goals); (3) Tools (additional information and resources); (4) Support (social support resources, frequently asked questions); and (5) Home page. Algorithms were used to generate fresh content daily and weekly, tailor information, and personalize goal recommendations. An a priori rubric was used to facilitate intervention delivery as healthy eating only (24 weeks), exercise only (24 weeks), or both behaviors concurrently over 48 weeks. Conclusions: Our TIDieR-guided AMPLIFY description provides pragmatic information helpful for researchers designing multibehavior web-based interventions and enhances potential opportunities to improve such interventions.

The effect of historic redlining on firearm violence.

BACKGROUND: Firearm homicides disproportionately affect young Black men, which in turn have lasting impact of communities of color as a whole. Previous cross-sectional studies have highlighted the role of discriminatory housing policies on the incidence of urban firearm violence. We sought to estimate the effects of racist housing policies on firearm incidence. METHODS: Firearm incident data were obtained from the Boston Police Department and point locations spatially joined with vector files outlining the original 1930 Home Owner Loan Corporation (HOLC) Redlining maps. A regression discontinuity design was used to assess the increased rate of firearm violence crossing from historically "desirable" neighborhoods (Green) to historically "hazardous" neighborhoods (Red and Yellow) based on HOLC definitions. Linear regression models were fit on either side of the geographic boundaries with firearm incidents graphed at varying distances and the regression coefficient calculated at the boundary. RESULTS: Crossing from desirable to Red hazardous designation there was a significant discontinuity with an increase of 4.1 firearm incidents per 1,000 people (95% CI 0.68,7.55). Similarly, when crossing from desirable areas to the Yellow hazardous designation there was a significant discontinuity and increase of 5.9 firearm incidents per 1,000 people (95% CI 1.85,9.86). There was no significant discontinuity between the two hazardous HOLC designations (coefficient -0.93, 95% CI -5.71, 3.85). CONCLUSIONS: There is a significant increase in firearm incidents in historically redlined areas of Boston. This suggests that interventions should focus on downstream socioeconomic, demographic, and neighborhood detriments of historically discriminatory housing policies in order to address firearm homicides.