Metastatic gastroesophageal cancer in older patients - is this patient cohort represented in clinical trials?

BACKGROUND: Older patients are underrepresented in the clinical trials that determine the standards of care for oncological treatment. We conducted a review to identify whether there have been age-restrictive inclusion criteria in clinical trials over the last twenty five years, focusing on patients with metastatic gastroesophageal cancer. METHODS: A search strategy was developed encompassing Embase, PubMed and The Cochrane Library databases. Completed phase III randomised controlled trials evaluating systemic anti-cancer therapies in metastatic gastroesophageal malignancies from 1st January 1995 to 18th November 2020 were identified. These were screened for eligibility using reference management software (Covidence; Veritas Health Innovation Ltd). Data including age inclusion/exclusion criteria and median age of participants were recorded. The percentage of patients ≥ 65 enrolled was collected where available. The change over time in the proportion of studies using an upper age exclusion was estimated using a linear probability model. RESULTS: Three hundred sixty-three phase III studies were identified and screened, with 66 trials remaining for final analysis. The majority of trials were Asian (48%; n = 32) and predominantly evaluated gastric malignancies, (86%; n = 56). The median age of participants was 62 (range 18-94). Thirty-two percent (n = 21) of studies specified an upper age limit for inclusion and over half of these were Asian studies. The median age of exclusion was 75 (range 65-80). All studies prior to 2003 used an upper age exclusion (n = 12); whereas only 9 that started in 2003 or later did (17%). Among later studies, there was a very modest downward yearly-trend in the proportion of studies using an upper age exclusion (-0.02 per year; 95%CI -0.05 to 0.01; p = 0.31). Fifty-two percent (n = 34) of studies specified the proportion of their study population who were ≥ 65 years. Older patients represented only 36% of the trial populations in these studies (range 7-60%). CONCLUSIONS: Recent years have seen improvements in clinical trial protocols, with many no longer specifying restrictive age criteria. Reasons for poor representation of older patients are complex and ongoing efforts are needed to broaden eligibility criteria and prioritise the inclusion of older adults in clinical trials.

Participation in a Chronic Limb Threatening Ischemia Randomized Trial Is Inversely Correlated With Regional Amputation Rate in Limb Threatening Ischemia Patients.

OBJECTIVE: The National Health Service demonstrated that regions of the United Kingdom with the highest number of patients enrolled in research studies had the lowest risk-adjusted mortality when patients were admitted to the hospital. Our goal was to investigate if this correlation was evident for patients with chronic limb threatening ischemia (CLI) treated in the United States (US). Accordingly, we examined correlations among sites participating in the Best Endovascular versus best Surgical Therapy in patients with Critical (BEST-CLI) trial, a multicenter, National Institute of Health-sponsored, international randomized controlled trial (RCT) comparing revascularization strategies in patients with CLI, and regional rates of major amputation from CLI. METHODS: We measured regional participation in the BEST-CLI trial by evaluating trial participation and enrollment rosters. To determine regional rates of lower limb amputation, we queried the Medicare database (2007-2016) for patients with concurrent peripheral arterial disease (PAD) and diabetes, then assessed how many had lower extremity amputations. Correlation of regional amputation rates with distribution of BEST-CLI sites in four US geographical regions was calculated using Pearson's correlation coefficients. Simple regression equations were used to calculate the significance of these correlation coefficients. RESULTS: Of 9,231,909 CLI patients, 342,406 underwent amputation in the Medicare dataset. Amputation rates per 1000 CLI patients differed by region (South 40.42, Midwest 40.12, West 34.81, Northeast 31.14). There were 116 US vascular centers, selected by volume and expertise that participated in BEST-CLI with the following distribution: South (n = 30, 26%), Midwest (n = 26, 22%), West (n = 29, 25%), and Northeast (n = 31, 27%). There was a negative correlation between the number of amputations per 1000 for Medicare CLI patients with diabetes and PAD and the number of BEST-CLI sites in the region which trended toward significance (Pearson R= -0.61, P = 0.39). CONCLUSIONS: Amputation rate among Medicare CLI patients is inversely correlated with US BEST-CLI site distribution. Higher participation in clinical research, especially within large RCTs, may be a marker of optimal PAD management.

Association Between Participation in Clinical Trials and Overall Survival Among Children With Intermediate- or High-risk Neuroblastoma.

Importance: Participants in clinical trials may experience benefits associated with new therapeutic strategies as well as tight adherence to best supportive care practices. Objectives: To investigate whether participation in a clinical trial is associated with improved survival among children with neuroblastoma and investigate potential recruitment bias of patients in clinical trials. Design, Setting, and Participants: This cohort study included pediatric patients with intermediate- or high-risk neuroblastoma in North American studies who were included in the International Neuroblastoma Risk Group Data Commons and who received a diagnosis between January 1, 1991, and March 1, 2020. Exposure: Enrollment in a clinical trial. Main Outcomes and Measures: Event-free survival and overall survival (OS) of patients with intermediate- or high-risk neuroblastoma enrolled in an up-front Children's Oncology Group (COG) clinical trial vs a biology study alone were analyzed using log-rank tests and Cox proportional hazards regression models. The racial/ethnic composition and the demographic characteristics of the patients in both groups were compared. Results: The cohort included 3058 children with intermediate-risk neuroblastoma (1533 boys [50.1%]; mean [SD] age, 10.7 [14.7] months) and 6029 children with high-risk neuroblastoma (3493 boys [57.9%]; mean [SD] age, 45.8 [37.4] months) who were enrolled in a Children's Oncology Group or legacy group neuroblastoma biology study between 1991 and 2020. A total of 1513 patients with intermediate-risk neuroblastoma (49.5%) and 2473 patients with high-risk neuroblastoma (41.0%) were also enrolled in a clinical trial, for a cohort total of 3986 of 9087 children (43.9%) enrolled in a clinical trial. The prevalence of prognostic markers for the clinical trial and non-clinical trial cohorts differed, although representation of patients from racial/ethnic minority groups was similar in both cohorts. Among patients with intermediate-risk neuroblastoma, OS was higher among those who participated in a clinical trial compared with those enrolled only in a biology study (OS, 95% [95% CI, 94%-96%] vs 91% [95% CI, 89%-94%]; P = .01). Among patients with high-risk neuroblastoma, participation in a clinical trial was not associated with OS (OS, 38% [95% CI, 35%-41%] in the clinical trial group vs 41% [95% CI, 38%-44%] in the biology study group; P = .23). Conclusions and Relevance: Approximately 44% of patients in this large cohort of patients with neuroblastoma were enrolled in up-front clinical trials. Compared with children not enrolled in clinical trials, a higher prevalence of favorable prognostic markers was identified among patients with intermediate-risk neuroblastoma enrolled in clinical trials, and unfavorable features were more prevalent among patients with high-risk neuroblastoma enrolled in clinical trials. No evidence of recruitment bias according to race/ethnicity was observed. Participation in a clinical trial was not associated with OS in this cohort, likely reflecting the common practice of treating nontrial participants with therapeutic and supportive care regimens used in a previous therapeutic trial.

Cancer Clinical Trial Participation at the 1-Year Anniversary of the Outbreak of the COVID-19 Pandemic.

Importance: During the initial outbreak of the COVID-19 pandemic, cancer clinical trial participation decreased precipitously. Given the continued pandemic-especially the severe wave of new cases and deaths in winter 2020 to 2021-a vital question is whether trial enrollments have remained low or even worsened. Objective: To examine the experience of cancer clinical trial enrollment 1 year after the COVID-19 outbreak. Design, Setting, and Participants: This cohort study examines initial enrollments to treatment trials and cancer control and prevention (CCP) trials conducted by the SWOG Cancer Research Network between January 1, 2016, and February 28, 2021. Participants include patients enrolled in the trials. Exposures: Landmark time points reflecting the onset and the apex, respectively, of the initial COVID-19 wave (March 1 to April 25, 2020) and the winter 2020 to 2021 wave (October 4, 2020, to January 23, 2021). Main Outcomes and Measures: This study used interrupted time-series analysis to examine enrollments over time related to the COVID-19-derived exposure variables using negative-binomial regression. Relative risk (RR) estimates representing weekly enrollment changes compared with expected rates (had the pandemic not occurred) were derived. The numbers of enrollments lost during the pandemic were estimated. Results: Overall, 29 398 patients (mean [SD] age, 60.3 [13.2] years) were enrolled (24 034 before the pandemic and 5364 during the pandemic), with 9198 patients (31.3%) aged 65 years or older, 17 199 female patients (58.6%), 3039 Black patients (10.8%), and 2260 Hispanic patients (7.9%). Most enrollments (19 451 [66.2%]) were to treatment trials. During the initial COVID-19 wave, there was a 9.0% model-estimated weekly reduction in enrollments (RR, 0.91; 95% CI, 0.89-0.93; P < .001), with effects compounding each week. Enrollment recovered thereafter, but decreased again during the winter 2020 to 2021 wave, although by only 2.0% each week (RR, 0.98; 95% CI, 0.97-0.99; P < .001). Overall, during the pandemic, actual enrollments were 77.3% of expected enrollments (5364 of 6913 enrollments; 95% CI, 70.5%-85.0%; P < .001). Actual enrollments were 54.0% of expected enrollments for CCP trials (1421 of 2641 enrollments; 95% CI, 43.0%-67.0%; P < .001) and 91.0% of expected enrollments for treatment trials (3922 of 4304 enrollments; 95% CI, 81.0%-102.0%; P = .12). Conclusions and Relevance: In this cohort study, clinical trial enrollments decreased during the full year of the COVID-19 pandemic. Enrollment reductions were primarily to CCP trials, whereas, remarkably, there was not strong evidence of enrollment reductions to treatment trials. This finding suggests that clinical research rapidly adapted to the circumstances of enrolling and treating patients on protocols during the COVID-19 pandemic.

Analysis of Female Enrollment and Participant Sex by Burden of Disease in US Clinical Trials Between 2000 and 2020.

Importance: Although female representation has increased in clinical trials, little is known about how clinical trial representation compares with burden of disease or is associated with clinical trial features, including disease category. Objective: To describe the rate of sex reporting (ie, the presence of clinical trial data according to sex), compare the female burden of disease with the female proportion of clinical trial enrollees, and investigate the associations of disease category and clinical trial features with the female proportion of clinical trial enrollees. Design, Setting, and Participants: This cross-sectional study included descriptive analyses and logistic and generalized linear regression analyses with a logit link. Data were downloaded from the Aggregate Analysis of ClinicalTrials.gov database for all studies registered between March 1, 2000, and March 9, 2020. Enrollment was compared with data from the 2016 Global Burden of Disease database. Of 328 452 clinical trials, 70 095 were excluded because they had noninterventional designs, 167 936 because they had recruitment sites outside the US, 69 084 because they had no reported results, 1003 because they received primary funding from the US military, and 314 because they had unclear sex categories. A total of 20 020 interventional studies enrolling approximately 5.11 million participants met inclusion criteria and were divided into those with and without data on participant sex. Exposures: The primary exposure variable was clinical trial disease category. Secondary exposure variables included funding, study design, and study phase. Main Outcomes and Measures: Sex reporting and female proportion of participants in clinical trials. Results: Among 20 020 clinical trials from 2000 to 2020, 19 866 studies (99.2%) reported sex, and 154 studies (0.8%) did not. Clinical trials in the fields of oncology (46% of disability-adjusted life-years [DALYs]; 43% of participants), neurology (56% of DALYs; 53% of participants), immunology (49% of DALYs; 46% of participants), and nephrology (45% of DALYs; 42% of participants) had the lowest female representation relative to corresponding DALYs. Male participants were underrepresented in 8 disease categories, with the greatest disparity in clinical trials of musculoskeletal disease and trauma (11.3% difference between representation and proportion of DALYs). Clinical trials of preventive interventions were associated with greater female enrollment (adjusted relative difference, 8.48%; 95% CI, 3.77%-13.00%). Clinical trials in cardiology (adjusted relative difference, -18.68%; 95% CI, -22.87% to -14.47%) and pediatrics (adjusted relative difference, -20.47%; 95% CI, -25.77% to -15.16%) had the greatest negative association with female enrollment. Conclusions and Relevance: In this study, sex differences in clinical trials varied by clinical trial disease category, with male and female participants underrepresented in different medical fields. Although sex equity has progressed, these findings suggest that sex bias in clinical trials persists within medical fields, with negative consequences for the health of all individuals.

Reporting of Study Participant Demographic Characteristics and Demographic Representation in Premarketing and Postmarketing Studies of Novel Cancer Therapeutics.

Importance: Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics. Objective: To characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics. Design, Setting, and Participants: In this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020. Main Outcomes and Measures: The percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8. Results: From 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%]; P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%]; P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21). Conclusions and Relevance: This study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval.

The Impact of COVID-19 on Clinical Trial Execution at the Dana-Farber Cancer Institute.

Interventions designed to limit the spread of coronavirus disease 2019 (COVID-19) are having profound effects on the delivery of health care, but data showing the impact on oncology clinical trial enrollment, treatment, and monitoring are limited. We prospectively tracked relevant data from oncology clinical trials at Dana-Farber Cancer Institute from January 1, 2018, to June 30, 2020, including the number of open trials, new patient enrollments, in-person and virtual patient visits, dispensed investigational infusions, dispensed or shipped oral investigational agents, research biopsies, and blood samples. We ascertained why patients came off trials and determined on-site clinical research staffing levels. We used 2-sided Wilcoxon rank sum tests to assess the statistical significance of the reported changes. Nearly all patients on interventional treatment trials were maintained, and new enrollments continued at just under one-half the prepandemic rate. The median number of investigational prescriptions shipped to patients increased from 0 to 74 (range = 22-107) per week from March to June 2020. The median number of telemedicine appointments increased from 0 to 107 (range = 33-267) per week from March to June 2020. Research biopsies and blood collections decreased dramatically after Dana-Farber Cancer Institute implemented COVID-19-related policies in March 2020. The number of research nurses and clinical research coordinators on site also decreased after March 2020. Substantial changes were required to safely continue clinical research during the pandemic, yet we observed no increases in serious adverse events or major violations related to drug dosing. Lessons learned from adapting research practices during COVID-19 can inform industry sponsors and governmental agencies to consider altering practices to increase operational efficiency and convenience for patients.

The proportion of North American cancer trials that evaluate novel targets.

Major advances in cancer care often emerge from the development of novel targets. We randomly sampled 10% of cancer trials on clinicaltrials.gov with start dates 2013-2016 to determine the proportion of trials and research subjects directed at evaluating novel targets. We found that 87 of 378 trials (23.0%) enrolling 9225 of 44,525 patients (20.7%) tested interventions that are directed towards novel targets. 146 of 378 trials (38.6%) enrolling 19,132 of 44,525 patients (43.0%) investigated treatments that were not FDA approved but utilized a previously studied target for treating cancer. Combined, 233 of 378 trials (61.6%) enrolling 28,357 of 44,525 patients (63.9%) investigated treatments that were not FDA approved. Furthermore, 36 of 378 trials (9.5%) enrolling 6592 of 44,525 patients (14.8%) investigated FDA approved anticancer drugs in their approved indication and combination while 109 of 378 trials (28.8%) enrolling 9576 of 44,525 patients (21.5%) investigated FDA approved anticancer drugs outside of their approved indication or combination. Logistic regression found that phase 1 trials were significantly more likely to test novel target interventions than phase 2 and 3 trials (p value = 0.00197 and 0.00130 respectively). Industry sponsored trials were also significantly more likely to involve novel target interventions than non-industry trials (p value <0.001). In conclusion, most cancer trials involve unapproved treatments, but a majority of these treatments are well-characterized or involve a previously studied target to treat cancer.

Should analyses of large, national palliative care data sets with patient reported outcomes (PROs) be restricted to services with high patient participation? A register-based study.

BACKGROUND: There is an increased interest in the analysis of large, national palliative care data sets including patient reported outcomes (PROs). No study has investigated if it was best to include or exclude data from services with low response rates in order to obtain the patient reported outcomes most representative of the national palliative care population. Thus, the aim of this study was to investigate whether services with low response rates should be excluded from analyses to prevent effects of possible selection bias. METHODS: Data from the Danish Palliative Care Database from 24,589 specialized palliative care admittances of cancer patients was included. Patients reported ten aspects of quality of life using the EORTC QLQ-C15-PAL-questionnaire. Multiple linear regression was performed to test if response rate was associated with the ten aspects of quality of life. RESULTS: The score of six quality of life aspects were significantly associated with response rate. However, in only two cases patients from specialized palliative care services with lower response rates (< 20.0%, 20.0-29.9%, 30.0-39.9%, 40.0-49.9% or 50.0-59.9) were feeling better than patients from services with high response rates (≥60%) and in both cases it was less than 2 points on a 0-100 scale. CONCLUSIONS: The study hypothesis, that patients from specialized palliative care services with lower response rates were reporting better quality of life than those from specialized palliative care services with high response rates, was not supported. This suggests that there is no reason to exclude data from specialized palliative care services with low response rates.

[Citizens who volunteer as participants for cancer research-results of the Seintinelles Barometer 2018]. / Ces citoyen(nes) qui se portent volontaires pour participer aux recherches dans le champ du cancer ­ résultats du Baromètre Seintinelles 2018.

INTRODUCTION: Health researchers often face difficulties related to participants' recruitment for their research. However, a new strategy emerges: offering patients-but also citizens who are not ill-the possibility to volunteer as participants to hasten research processes. The French platform "Seintinelles" aims to fulfill this goal and bring together citizens who volunteered to participate to cancer related research. The "Seintinelles Barometer" aims to describe these volunteers' profile. METHODS: The Seintinelles Barometer data were collected through a web-based auto-questionnaire proposed to the "Seintinelles" members from June 2017 to November 2018. RESULTS: The sample presents a high level of overrepresentation of women. Participants are characterized by a high level of education. About a third of the participants had suffered from cancer. Two profile of volunteers emerged: the « patients ¼ and the « supportive citizens ¼. DISCUSSION: The Seintinelles Barometer participants manifest a strong wish to be involved in cancer related research. Therefore, this platform seems to be a promising tool for the development of community-based research in the field of cancer.

Consent to discuss participation in research: a pilot study.

BACKGROUND: Equitable access to research studies needs to be increased for all patients. There is debate about which is the best approach to use to discuss participation in research in real-world clinical settings. OBJECTIVE: We aimed to determine the feasibility of asking all clinical staff within one hospital Trust (an organisation that provides secondary health services within the English and Welsh National Health Service) to use a newly created form on the Trust's electronic patient records system, as a means of asking patients to consent to discuss participation in research (the opt-in approach). We also aimed to collect feedback from patients and clinicians about their views of the opt-in approach. METHODS: Four pilot sites were selected in the Trust: two memory clinics, an adult mental health team and an acute adult ward. Data were collected in three phases: (1) for 6 months, pilot site staff were asked to complete a consent to discuss participation in research form with patients; (2) staff feedback on the form was collected through an online survey; and (3) patient feedback was collected through focus groups. FINDINGS: Of 1779 patients attending services during the pilot period, 197 (11%) had a form completed by staff and 143 (8%) opted-in to finding out about research. Staff cited limited time, low priority and poor user experience of the electronic patient records system as reasons for low uptake of the form. Patients generally approved of the approach but offered suggestions for improvement. CONCLUSIONS: There were mixed results for adopting an opt-in approach; uptake was very low, limiting its value as an effective strategy for improving access to research. CLINICAL IMPLICATIONS: Alternative strategies to the opt-in approach, such as transparent opt out approaches, warrant consideration to maximise access to research within routine clinical care.

Recruitment and retention: A randomized controlled trial of video-enhanced versus standard consent processes within the E-OPTIMAL study.

BACKGROUND/AIMS: In this study, we compared two research consent techniques: a standardized video plus usual consent and usual consent alone. METHODS: Individuals who completed 24-month outcomes (completers) in the Operations and Pelvic Muscle Training in the Management of Apical Support Loss study were invited to participate in an extended, longitudinal follow-up study (extended Operations and Pelvic Muscle Training in the Management of Apical Support Loss). Potential participants who were (1) able to provide consent and (2) not in long-term care facilities were randomized 1:1 to a standardized video detailing the importance of long-term follow-up studies of pelvic floor disorders followed by the usual institutional consent process versus the usual consent process alone. Randomization, stratified by site, used randomly permuted blocks. The primary outcome was the proportion of participants who enrolled in the extended study and completed data collection events 5 years after surgery. Secondary outcomes included the proportion enrolled in the extended study, completion of follow-up at each study year, completion of data collection points, completion of in-person visits, and completion of quality of life calls. Motivation and barriers to enrollment (study-level and personal-level) and satisfaction with the study consent process were measured by questionnaire prior to recruitment into extended Operations and Pelvic Muscle Training in the Management of Apical Support Loss. Groups were compared using an intention-to-treat principle, using unadjusted Student's t-test (continuous) and chi-square or Fisher's exact (categorical) test. A sample size of 340 (170/group) was estimated to detect a 15% difference in enrollment and study completion between groups with p < 0.05. RESULTS: Of the 327 Operations and Pelvic Muscle Training in the Management of Apical Support Loss completers, 305 were randomized to the consent process study (153 video vs 152 no video). Groups were similar in demographics, surgical treatment, and outcomes. The overall rate of extended study enrollment was high, without significant differences between groups (video 92.8% vs no video 94.1%, p = 0.65). There were no significant differences in the primary outcome (video 79.1% vs no video 75.7%, p = 0.47) or in any secondary outcomes. Being "very satisfied" overall with study information (97.7% vs 88.5%, p = 0.01); "strong agreement" for feeling informed about the study (81.3% vs 70.8%, p = 0.06), understanding the study purpose (83.6% vs 71.0%, p = 0.02), nature and extent (82.8% vs 70.2%, p = 0.02), and potential societal benefits (82.8% vs 67.9%, p = 0.01); and research coordinator/study nurse relationship being "very important" (72.7% vs 63.4%, p = 0.03) were better in the video compared to the no video consent group. CONCLUSION: The extended study had high enrollment; most participants completed most study tasks during the 3-year observational extension, regardless of the use of video to augment research consent. The video was associated with a higher proportion of participants reporting improved study understanding and relationship with study personnel.

'Poking the skunk': Ethical and medico-legal concerns in research about patients' experiences of medical injury.

Improving how health care providers respond to medical injury requires an understanding of patients' experiences. Although many injured patients strongly desire to be heard, research rarely involves them. Institutional review boards worry about harming participants by asking them to revisit traumatic events, and hospital staff worry about provoking lawsuits. Institutions' reluctance to approve this type of research has slowed progress toward responses to injuries that are better able to meet patients' needs. In 2015-2016, we were able to surmount these challenges and interview 92 injured patients and families in the USA and New Zealand. This article explores whether the ethical and medico-legal concerns are, in fact, well-founded. Consistent with research about trauma-research-related distress, our participants' accounts indicate that the pervasive fears about retraumatization are unfounded. Our experience also suggests that because being heard is an important (but often unmet) need for injured patients, talking provides psychological benefits and may decrease rather than increase the impetus to sue. Our article makes recommendations to institutional review boards and researchers. The benefits to responsibly conducted research with injured patients outweigh the risks to participants and institutions.

Nonmetropolitan residence and other factors affecting clinical trial enrollment for adolescents and young adults with cancer in a US population-based study.

BACKGROUND: Cancer survival rates in adolescents and young adults (AYAs) have shown slow improvements in comparison with other age groups, and this may be due to lower participation in clinical trials. Little evidence has been provided regarding how nonmetropolitan residence may influence clinical trial enrollment for AYAs with cancer. This study sought to determine whether AYAs from nonmetropolitan areas have lower rates of clinical trial enrollment than their urban counterparts and to examine factors associated with enrollment variation. METHODS: Data from the National Cancer Institute's 2006 and 2013 Surveillance, Epidemiology, and End Results Patterns of Care AYA cohorts were analyzed. Patients with acute lymphoblastic leukemia, Hodgkin lymphoma, non-Hodgkin lymphoma, and sarcoma were included (n = 3155). Urban influence codes were used to measure the rurality of the county of residence at diagnosis, which was categorized as large metropolitan, small metropolitan, or nonmetropolitan. Logistic regression compared trial participants and nonparticipants while adjusting for patient and provider factors. RESULTS: Compared with AYAs from large metropolitan counties, AYAs from small metropolitan (odds ratio [OR], 2.04; 95% confidence interval [CI], 1.57-2.64) or nonmetropolitan counties (OR, 1.86; 95% CI, 1.23-2.81) experienced greater trial enrollment. AYAs treated at a hospital with a residency program (OR, 2.27; 95% CI, 1.63-3.16) or by a pediatric oncologist (OR, 4.02; 95% CI, 3.03-5.32) were associated with greater enrollment. There was a significant interaction between rurality and hospital size, which had the greatest impact on nonmetropolitan enrollment. CONCLUSIONS: Clinical trial enrollment was higher among AYAs from nonmetropolitan counties than those from metropolitan counties, predominantly when they were treated at large hospitals.

Adequacy of Inclusion of Older Adults in NIH-Funded Phase III Clinical Trials.

In the United States, the population aged 65 and older is rapidly growing, and this group uses more healthcare resources and has unique healthcare needs that do not exist in younger populations. However, it was reported that older adults are excluded or underrepresented in clinical trials for several diseases. We examined phase III clinical trials funded by the National Institutes of Health found in www.clinicaltrials.gov from 1965 to 2015 that addressed top causes for hospitalization and/or disability-adjusted life years in older adults: congestive heart failure (n = 45), cardiac dysrhythmias (n = 24), coronary atherosclerosis (n = 106), heart attack (n = 76), stroke (n = 113), chronic obstructive pulmonary disease (n = 14), pneumonia (n = 48), lung cancer (n = 117), prostate cancer (n = 65), and osteoarthritis (n = 15). We then analyzed the representation of older adults in these studies. We found that 33% of studies had arbitrary upper age limits, and 67% of studies reported mean and/or median ages that skewed younger than expected for the disease or condition of interest. Beyond explicit exclusion by age, older adults were often implicitly excluded based on various comorbid conditions such as polypharmacy/concomitant medication (37%) or cardiac issues (30%). We conclude that outcomes of these trials may not be fully generalizable to the general population of older adults. J Am Geriatr Soc 67:218-222, 2019.

Predicting Attrition in a Text-Based Nutrition Education Program: Survival Analysis of Text2BHealthy.

BACKGROUND: Text-based programs have been shown to effectively address a wide variety of health issues. Although little research examines short message service (SMS) text messaging program characteristics that predict participant retention and attrition, features of SMS text message programs, such as program duration and intensity, message content, and the participants' context, may have an impact. The impact of stop messages-messages with instructions for how to drop out of an SMS text message program-may be particularly important to investigate. OBJECTIVE: The aim of this study was to describe attrition from Text2BHealthy, a text-based nutrition and physical activity promotion program for parents of low-income elementary school children, and to determine the impact of message content and number of stop messages received on attrition. METHODS: Using data from 972 parents enrolled in Text2BHealthy, we created Kaplan-Meier curves to estimate differences in program duration for different SMS text message types, including nutrition, physical activity, stop, and other messages. Covariates, including rurality and number of stop messages received, were included. RESULTS: Retention rates by school ranged from 74% (60/81) to 95.0% (132/139), with an average retention rate of 85.7% (833/972) across all schools. Program duration ranged from 7 to 282 days, with a median program duration of 233 days and an average program duration of 211.7 days. Among those who dropped out, program duration ranged from 7 to 247 days, with a median program duration of 102.5 days. Receiving a stop message increased the probability of attrition compared with receiving messages about nutrition, physical activity, or other topics (hazard ratio=51.5, 95% CI 32.46-81.7; P<.001). Furthermore, each additional stop message received increased the probability of attrition (hazard ratio=10.36, 95% CI 6.14-17.46; P<.001). The degree of rurality also had a significant effect on the probability of attrition, with metropolitan county participants more likely to drop out of the program than rural county participants. The interaction between SMS text message type and total number of stop messages received had a significant effect on attrition, with the effect of the number of stop messages received dependent on the SMS text message type. CONCLUSIONS: This study demonstrates the potential of SMS text message programs to retain participants over time. Furthermore, this study suggests that the probability of attrition increases substantially when participants receive messages with instructions for dropping out of the program. Program planners should carefully consider the impact of stop messages and other program content and characteristics on program retention. Additional research is needed to identify participant, programmatic, and contextual predictors of program duration and to explicate the relationship between program duration and program efficacy.

Screening for Pregnancy Status in a Population-Based Sample: Characteristics Associated with Item Nonresponse.

OBJECTIVES: Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study. METHODS: Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment. RESULTS: Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. CONCLUSIONS FOR PRACTICE: The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter.

Predictors of Response Outcomes for Research Recruitment Through a Central Cancer Registry: Evidence From 17 Recruitment Efforts for Population-Based Studies.

When recruiting research participants through central cancer registries, high response fractions help ensure population-based representation. We conducted multivariable mixed-effects logistic regression to identify case and study characteristics associated with making contact with and obtaining cooperation of Utah cancer cases using data from 17 unique recruitment efforts undertaken by the Utah Cancer Registry (2007-2016) on behalf of the following studies: A Population-Based Childhood Cancer Survivors Cohort Study in Utah, Comparative Effectiveness Analysis of Surgery and Radiation for Prostate Cancer (CEASAR Study), Costs and Benefits of Follow-up Care for Adolescent and Young Adult Cancers, Study of Exome Sequencing for Head and Neck Cancer Susceptibility Genes, Genetic Epidemiology of Chronic Lymphocytic Leukemia, Impact of Remote Familial Colorectal Cancer Risk Assessment and Counseling (Family CARE Project), Massively Parallel Sequencing for Familial Colon Cancer Genes, Medullary Thyroid Carcinoma (MTC) Surveillance Study, Osteosarcoma Surveillance Study, Prostate Cancer Outcomes Study, Risk Education and Assessment for Cancer Heredity Project (REACH Project), Study of Shared Genomic Segment Analysis and Tumor Subtyping in High-Risk Breast-Cancer Gene Pedigrees, Study of Shared Genomic Segment Analysis for Localizing Multiple Myeloma Genes. Characteristics associated with lower odds of contact included Hispanic ethnicity (odds ratio (OR) = 0.34, 95% confidence interval (CI): 0.27, 0.41), nonwhite race (OR = 0.46, 95% CI: 0.35, 0.60), and younger age at contact. Years since diagnosis was inversely associated with making contact. Nonwhite race and age ≥60 years had lower odds of cooperation. Study features with lower odds of cooperation included longitudinal design (OR = 0.50, 95% CI: 0.41, 0.61) and study brochures (OR = 0.70, 95% CI: 0.54, 0.90). Increased odds of cooperation were associated with including a questionnaire (OR = 3.19, 95% CI: 1.54, 6.59), postage stamps (OR = 1.60, 95% CI: 1.21, 2.12), and incentives (OR = 1.62, 95% CI: 1.02, 2.57). Among cases not responding after the first contact, odds of eventual response were lower when >10 days elapsed before subsequent contact (OR = 0.71, 95% CI: 0.59, 0.85). Obtaining high response is challenging, but study features identified in this analysis support better results when recruiting through central cancer registries.

Increased clinical trial enrollment among adolescent and young adult cancer patients between 2006 and 2012-2013 in the United States.

BACKGROUND: Stagnant outcomes for adolescents and young adults (AYAs) 15-39 years of age with cancer are partly attributed to poor enrollment onto clinical trials. Initiatives have focused on increasing accrual, but changes at the population-level are unknown. We examined patterns of clinical trial participation over time in AYA patients with cancer. PROCEDURE: We utilized medical record data from AYAs in two population-based National Cancer Institute Patterns of Care Studies identified through the Surveillance, Epidemiology and End Results Program. Among 3135 AYAs diagnosed with non-Hodgkin lymphoma (NHL), Hodgkin lymphoma, acute lymphoblastic leukemia (ALL), and sarcoma, we used multivariate logistic regression to evaluate patient and provider characteristics associated with clinical trial enrollment. Interaction terms evaluated variation in clinical trial enrollment across patient and provider characteristics by year of diagnosis. RESULTS: From 2006 to 2012-2013, clinical trial participation increased from 14.8% to 17.9% (P < 0.01). Adjusting for patient and provider characteristics, we found lower clinical trial enrollment among those who were older at diagnosis, diagnosed with NHL vs ALL, treated by adult hematologist/oncologists only (vs pediatric hematologist/oncologists), and of non-Hispanic Black race/ethnicity (vs non-Hispanic White) (P < 0.05 for all). Interaction analyses indicate improved clinical trial enrollment from 2006 to 2012-2013 among young adults 25-29 years of age and the uninsured. CONCLUSIONS: Although disparities in enrollment onto clinical trials remain for AYAs with cancer, our study identified increasing overall clinical trial participation over time. Further, we identify promising trends in enrollment uptake among AYAs 25-29 years of age and the uninsured.