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Objectives: Over half of new cancer diagnoses occur in patients aged 65 or older, with up to 40% experiencing anxiety. The American Society of Clinical Oncology recommends using the Generalized Anxiety Disorder Scale (GAD-7) for anxiety screening, but the GAD-7 psychometric properties in this population are unknown. This study examined the GAD-7's reliability, validity, and item parameters, comparing its utility with the GAD-2 in older adults with cancer., Methods: This cross-sectional secondary analysis of a nationwide multi-site two-arm cluster randomized trial in older adults (≥ 70) with advanced cancer. The GAD-7 was administered at baseline. Properties were evaluated with Cronbach's α, Pearson correlation coefficients, and a 2-parameter logistic model. Logistic regression models compared the GAD-2 and GAD-7., Results: The sample included 718 participants (Mean age = 77, SD = 5) with mild anxiety (M = 3.74, SD = 4.74). Internal consistency was strong (Cronbach's alpha = 0.89) and item-total correlations ranged 0.53 to 0.78. Item 2 (Not being able to stop or control worrying) was the most discriminating and item 5 (Being so restless that it is hard to sit still) was least discriminating. Area Under the Curve (AUC) analyses demonstrated the GAD-2 had a 0.93-0.96 AUC., Conclusions: Establishing the psychometric properties of anxiety screening measures is crucial in the older adults with cancer to maximize referral efficiency and accuracy. This study indicates that the GAD-7 is reliable and valid for older adults with cancer. Analyses suggest the GAD-2 may be as sufficient as the GAD-7 in identifying anxiety in older adults with cancer, thereby reducing assessment burden., (© 2024 John Wiley & Sons Ltd.)

Background: Polypharmacy and potentially inappropriate medications (PIM) are common among older adults with advanced cancer, but their association with physical functional outcomes is understudied. This study aimed to estimate the risk of physical functional decline associated with medication measures in older adults with advanced cancer starting a new line of systemic treatment., Methods: This secondary analysis of GAP 70+ Trial (PI: Mohile) enrolled patients aged 70+ with advanced cancer, had ≥ 1 geriatric assessment domain impairment and planned to start a new antineoplastic regimen with a high risk of toxicity. Polypharmacy (concurrent use of ≥ 8 medications (meds)) was assessed before initiation of treatment. PIM were categorized using Screening Tool of Older Person's Prescriptions (STOPP) criteria and 2019 Beers criteria. Physical functional outcomes were assessed within 3 months of treatment initiation: (1) Activity of Daily Living (ADL) decline: 1-point decrease in ADL score between baseline and 3 months; (2) Instrumental ADL (IADL) decline: 1-point decrease in IADL score between baseline and 3 months; (3) Short physical performance battery (SPPB) decline, defined as 1-point decrease on SPPB; (4) ≥ 1 falls within 3 months of treatment. Separate multivariable, cluster-weighted Generalized Estimating Equations models adjusted for relevant covariates (e.g., age, baseline function/comorbidities)., Results: Among 616 participants, mean number of meds was 6 (range 0-24); 28% received ≥ 8 meds. Polypharmacy was associated with increased risk of ADL decline (adjusted risk ratio [aRR], 1.31; 95% CI, 1.00-1.71). Taking ≥ 1 PIM per STOPP was associated with increased risk of IADL decline (aRR, 1.21; 95% CI, 1.04-1.40) and falls (aRR, 1.93; 95% CI, 1.49-2.51)., Conclusions: In a large cohort of vulnerable older adults with advanced cancer receiving systemic treatment, polypharmacy and PIM were independently associated with an increased risk of physical functional decline. This emphasizes the need to develop interventions to optimize medication use, intending to improve outcomes in these patients., Trial Registration: ClinicalTrials.gov Identifier: NCT02054741. Registered 01-31-2014., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: The primary goal of this scoping review was to summarize the literature published after the 2018 National Cancer Institute think tank, "Measuring Aging and Identifying Aging Phenotypes in Cancer Survivors," on physical and cognitive functional outcomes among cancer survivors treated with chemotherapy. We focused on the influence of chemotherapy on aging-related outcomes (i.e., physical functional outcomes, cognitive functional outcomes, and frailty), given the known associations between chemotherapy and biologic mechanisms that affect aging-related physiologic processes., Methods: A search was conducted across electronic databases, including PubMed, Scopus, and Web of Science, for manuscripts published between August 2018 and July 2023. Eligible studies: 1) included physical function, cognitive function, and/or frailty as outcomes; 2) included cancer survivors (as either the whole sample or a subgroup); 3) reported on physical or cognitive functional outcomes and/or frailty related to chemotherapy treatment (as either the whole sample or a subgroup); and 4) were observational in study design., Results: The search yielded 989 potentially relevant articles, of which 65 met the eligibility criteria. Of the 65 studies, 49 were longitudinal, and 16 were cross-sectional; 30 studies (46%) focused on breast cancer, 20 studies (31%) focused on the age group 60 + years, and 17 (26%) focused on childhood cancer survivors. With regards to outcomes, 82% of 23 studies reporting on physical function showed reduced physical function, 74% of 39 studies reporting on cognitive functional outcomes found reduced cognitive function, and 80% of 15 studies reporting on frailty found increasing frailty among cancer survivors treated with chemotherapy over time and/or compared to individuals not treated with chemotherapy. Fourteen studies (22%) evaluated biologic mechanisms and their relationship to aging-related outcomes. Inflammation was consistently associated with worsening physical and cognitive functional outcomes and epigenetic age increases. Further, DNA damage was consistently associated with worse aging-related outcomes., Conclusion: Chemotherapy is associated with reduced physical function, reduced cognitive function, and an increase in frailty in cancer survivors; these associations were demonstrated in longitudinal and cross-sectional studies. Inflammation and epigenetic age acceleration are associated with worse physical and cognitive function; prospective observational studies with multiple time points are needed to confirm these findings., Implications for Cancer Survivors: This scoping review highlights the need for interventions to prevent declines in physical and cognitive function in cancer survivors who have received chemotherapy., (© 2024. The Author(s).)

Background: Nutritional impairment is associated with treatment toxicity and worse overall survival in patients with cancer. We aimed to (1) evaluate the association of nutritional impairment with psychological health and quality of life (QOL) and (2) examine which measures of nutrition had the strongest association with psychological health and QOL among older adults receiving cancer treatment with palliative intent., Methods: This secondary analysis was performed on baseline data from a nationwide cluster randomized clinical trial (ClinicalTrials.gov identifier: NCT02107443; PI: Mohile). Adults age ≥70 with advanced cancer and ≥1 geriatric assessment (GA) impairment were enrolled from 2014 to 2017. In line with geriatric oncology standards, we defined nutritional impairment as Mini Nutritional Assessment Short Form (MNA-SF) ≤11, body mass index (BMI) <21 kg/m 2 , or >10% involuntary weight loss in the past 6 months. We conducted multivariable linear regressions to evaluate the association of nutritional impairment with each measure of psychological health and QOL: Geriatric Depression Scale (GDS-15, range 0-15), Generalized Anxiety Disorder-7 (GAD-7, range 0-21), NCCN Distress Thermometer (NCCN DT, range 0-10), and Functional Assessment of Cancer Therapy-General (FACT-G, range 0-108). Analyses were adjusted for patient demographics, clinical characteristics, and GA., Results: Among 541 patients, the mean age was 77 (range 70-96) and 60% had nutritional impairment. Mean baseline scores: GDS-15 3.1 (SD 2.7), GAD-7 2.9 (SD 4.0), NCCN DT 2.9 (SD 2.7), and FACT-G 80 (SD 15). In the adjusted model, compared to those with no nutritional impairment, older adults with nutritional impairment had greater depression (β = 0.79, 95% CI 0.36-1.23) and anxiety severity (β = 0.86, 95% CI 0.19-1.53), and worse QOL (β = -6.31, 95% CI -8.62 to -4.00). Of the measures of nutrition, MNA-SF ≤11 demonstrated the strongest associations with depression, anxiety, distress, and QOL., Conclusion: Nutritional impairment is associated with impaired psychological health and worse QOL. Clinicians should use the MNA-SF to screen older adults for nutritional impairment and offer tailored supportive interventions., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Introduction: Cancer health disparities are widespread. Nevertheless, the disparities in outcomes among diverse survivors of cancer ages 65 years and older ("older") have not been systematically evaluated., Methods: We conducted a scoping review of original research articles published between January 2016 and September 2023 and indexed in Medline (Ovid), Embase, Scopus, and CINAHL databases. We included studies evaluating racial, ethnic, socioeconomic disadvantaged, geographic, sexual and gender, and/or persons with disabilities disparities in treatment, survivorship, and mortality among older survivors of cancer. We excluded studies with no a priori aims related to a health disparity, review articles, conference proceedings, meeting abstracts, studies with unclear methodologies, and articles in which the disparity group was examined only as an analytic covariate. Two reviewers independently extracted data following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines., Results: After searching and removing duplicates, 2573 unique citations remained and after screening 59 articles met the inclusion criteria. Many investigated more than one health disparity, and most focused on racial and ethnic (n = 44) or socioeconomic (n = 25) disparities; only 10 studies described geographic disparities, and none evaluated disparities in persons with disabilities or due to sexual and gender identity. Research investigating disparities in outcomes among diverse older survivors of cancer is increasing gradually-68% of eligible articles were published between 2020 and 2023. Most studies focused on the treatment phase of care (n = 28) and mortality (n = 26), with 16 examined disparities in survivorship, symptoms, or quality of life. Most research was descriptive and lacked analyses of potential underlying mechanisms contributing to the reported disparities., Conclusion: Little research has evaluated the effect of strategies to reduce health disparities among older patients with cancer. This lack of evidence perpetuates cancer inequities and leaves the cancer care system ill equipped to address the unique needs of the rapidly growing and increasingly diverse older adult cancer population., (© 2024 The American Geriatrics Society.)

Purpose: Mortality data can complement primary end points from cancer clinical trials. Yet, identifying deaths after trial completion is challenging, as timely and comprehensive vital status data are unavailable in the United States. We developed and evaluated a multisource approach to capture death data after clinical trial completion., Methods: Individuals age 70 years and older with incurable solid tumors or lymphoma and ≥1 aging-related condition were enrolled from October 2014 to March 2019 (ClinicalTrials.gov identifier: NCT02107443 and NCT02054741). Participants provided consent to link trial information to external sources. We developed a stepped approach for extended death capture using (1) active trial follow-up up to 1 year, (2) linkage to the National Death Index (NDI), and (3) obituary searches, thus generating a 5-year survival curve. In a random sample of 50 participants who died during trial follow-up, we estimated sensitivity of death data using NDI and obituary sources and computed survival times by data source., Results: The two trials enrolled 1,169 participants; mean age was 76 years; 46% were female; and gastrointestinal cancer (30%) and lung cancer (26%) were the most common cancer types. Across data sources, maximum follow-up was >7 years; 5-year survival was 18%. In total, there were 841 deaths: 603 identified during trial follow-up; 199 from the NDI; and 39 from obituary searches. The sensitivity for death capture was 92% for the NDI and 94% for the obituary searches compared with the trial data, and computed survival times were similar across data sources., Conclusion: Extending clinical trial mortality follow-up through linkage with external data sources was feasible and accurate. Future cancer clinical trials should collect necessary consent and patient identifiers for vital status linkages that can enhance understanding of longer-term outcomes.

Introduction: Polypharmacy is prevalent in older adults with cancer and associated with multiple adverse outcomes. A single-site, cluster-randomized clinical trial will enroll older adults with cancer and polypharmacy starting chemotherapy and will assess the effectiveness and feasibility of deprescribing interventions by comparing two arms: a pharmacist-led deprescribing intervention and a patient educational brochure., Materials and Methods: The study will be conducted in two phases. In phase I, focus groups and semi-structured individual interviews will guide adaptation of deprescribing interventions for the oncology clinic (phase Ia), and eight patients will undergo the pharmacist-led deprescribing intervention with iterative adaptations (phase Ib). In phase II, a pilot cluster-randomized trial (n = 72) will compare a pharmacist-led deprescribing intervention with a patient education brochure, with treating oncologists as the cluster. Both efficacy (relative dose intensity of planned chemotherapy, potentially inappropriate medications successfully deprescribed, chemotherapy toxicity, functional status, hospitalizations, falls, and symptoms) and implementation outcomes (barriers and facilitators) will be assessed., Discussion: This study is anticipated to provide pilot data to inform a nationwide randomized clinical trial of deprescribing in older adults starting cancer treatment. The cluster randomization is intended to provide an initial estimate for the intervention effect as well as oncologists' intra-class correlation coefficient. Deprescribing interventions may improve outcomes in older adults starting cancer treatment, but these interventions are understudied in this population, and it is unknown how best to implement them into oncology practice. The results of this trial will inform the design of large, randomized phase III trials of deprescribing., Clinicaltrials: gov Identifier:NCT05046171. Date of registration: September 16, 2021., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

As older adults with cancer are underrepresented in randomized clinical trials (RCT), there is limited evidence on which to rely for treatment decisions for this population. Commonly used RCT endpoints for the assessment of treatment efficacy are more often tumor-centered (e.g., progression-free survival). These endpoints may not be as relevant for the older patients who present more often with comorbidities, non-cancer-related deaths, and treatment toxicity. Moreover, their expectation and preferences are likely to differ from younger adults. The DATECAN-ELDERLY initiative combines a broad expertise, in geriatric oncology and clinical research, with interest in cancer RCT that include older patients with cancer. In order to guide researchers and clinicians coordinating cancer RCT involving older patients with cancer, the experts reviewed the literature on relevant domains to assess using patient-reported outcomes (PRO) and patient-related outcomes, as well as available tools related to these domains. Domains considered relevant by the panel of experts when assessing treatment efficacy in RCT for older patients with cancer included functional autonomy, cognition, depression and nutrition. These were based on published guidelines from international societies and from regulatory authorities as well as minimum datasets recommended to collect in RCT including older adults with cancer. In addition, health-related quality of life, patients' symptoms, and satisfaction were also considered by the panel. With regards to tools for the assessment of these domains, we highlighted that each tool has its own strengths and limitations, and very few had been validated in older adults with cancer. Further studies are thus needed to validate these tools in this specific population and define the minimum clinically important difference to use when developing RCTs in this population. The selection of the most relevant tool should thus be guided by the RCT research question, together with the specific properties of the tool., Competing Interests: Declaration of Competing Interest PS: Member of advisory boards: BMS, EISAI. EB: Receipt of travel supports: Pfizer, Sandoz; Receipt of honoraria: Eli Lilly, Pfizer, Seagen; Receipt of consultation fees: Daiichi, Pfizer, Sandoz. KLC: Consultancy: Roche; Research funding: AstraZeneca. EB: Consultancy: Daiichi, Menarini, Pfizer, Sandoz; Honoraria: Pfizer, Eli Lilly, Incyte, Seagen; Travel support: Gilead, Pfizer, AstraZeneca, Novartis; Board member: Daiichi. RK: Consultancy: MSD, Astellas, BMS, J&J, Eisai, Ipsen, Merck; Honoraria: MSD, BMS, Eisai, Ipsen, Merck, J&J; Travel support: AstraZeneca, Ipsen. CB: Travel Support: Novartis., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Introduction: Older adults with cancer have unique fall risk factors related to their disease and treatment such as polypharmacy and neurotoxic treatments. In this secondary analysis, we identified modifiable risk factors associated with future falls among older adults with advanced cancers., Materials and Methods: Data were from the COACH study (ClinicalTrials.gov: NCT02107443; PI: Mohile). Patients were age ≥ 70, had stage III/IV solid tumor or lymphoma, ≥1 geriatric assessment impairment, and were receiving palliative intent treatment. Falls were self-reported at baseline (in the past six months), four to six weeks, three months, and six months. We generated inverse probability weights to account for mortality-related loss to follow-up and applied these in generalized linear mixed models to estimate incidence rate ratios., Results: Of 541 patients (mean age: 77, standard deviation [SD]: 5.27), 140 (26%) reported prior falls at baseline, and 467 (86%) had falls data for ≥1 follow-up timepoint. Of those, 103 (22%) reported at least one fall during the follow-up period, and 112 (24%) had incomplete follow-up due to death. In fully adjusted models, prior falls and impaired Timed Up and Go score were associated with higher incidence of falls over 6 months., Discussion: We identified several potentially modifiable fall risk factors in older adults with advanced cancers. Future studies should consider ways to integrate fall risk assessment into ongoing cancer care and intervene to reduce falls in this population., Competing Interests: Declaration of Competing Interest Dr. Loh has served as a consultant to Pfizer and Seattle Genetics and has received honoraria from Pfizer. Dr. Ramsdale has received honoraria from Flatiron Health. Dr. Wildes reports receiving consulting fees from Carevive Systems, Sanofi, and Pfizer., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Purpose: To describe emotional barriers and facilitators to deprescribing (the planned reduction or discontinuation of medications) in older adults with cancer and polypharmacy., Methods: Virtual focus groups were conducted over Zoom with 5 key informant groups: oncologists, oncology nurses, primary care physicians, pharmacists, and patients. All groups were video- and audio-recorded and transcribed verbatim. Focus group transcripts were analyzed using inductive content analysis, and open coding was performed by two coders. A codebook was generated based on the initial round of open coding and updated throughout the analytic process. Codes and themes were discussed for each transcript until consensus was reached. Emotion coding (identifying text segments expressing emotion, naming the emotion, and assigning a label of positive or negative) was performed by both coders to validate the open coding findings., Results: All groups agreed that polypharmacy is a significant problem. For clinicians, emotional barriers to deprescribing include fear of moral judgment from patients and colleagues, frustration toward patients, and feelings of incompetence. Oncologists and patients expressed ambivalence about deprescribing due to role expectations that physicians "heal with med[ication]s." Emotional facilitators of deprescribing included the involvement of pharmacists, who were perceived to be neutral, discerning experts. Pharmacists described emotionally aware communication strategies when discussing deprescribing with other clinicians and expressed increased awareness of patient context., Conclusion: Deprescribing can elicit strong and predominantly negative emotions among clinicians and patients which could inhibit deprescribing interventions. The involvement of pharmacists in deprescribing interventions could mitigate these emotional barriers., Trial Registration: ClinicalTrials.gov Identifier: NCT05046171 . Date of registration: September 16, 2021., (© 2023. The Author(s).)

Background: Although research has advanced the field of oncologic geriatrics with survivors to assess their cancer-related needs and devise patient-centered interventions, most of that research has excluded rural populations. This study aimed to understand the survivorship challenges and recommendations in the perspective of rural older adults., Methods: This was a qualitative study that explored the survivorship challenges and recommendations of rural older adults who have completed curative intent chemotherapy for a solid tumor malignancy in the 12 months prior to enrollment in the present study., Results: Twenty-seven older adult survivors from rural areas completed open-ended semi-structured interviews. The mean age was 73.4 (SD = 5.0). Most participants were non-Hispanic White (96.3%), female (59.3%), married (63.0%), and had up to a high school education (51.9%). Rural older survivors reported a general lack of awareness of survivorship care plans, communication challenges with healthcare team, transportation challenges, financial toxicity, psychological challenges, and diet and physical challenges. Rural older survivors recommend the provision of nutritional advice referral to exercise programs, and social support groups and for their healthcare providers to discuss their survivorship plan with them., Conclusions: Although study participants reported similar survivorship challenges as urban older adult survivors, additional challenges reported regarding transportation and consideration of farm animals have not been previously reported. Heightened awareness of the survivorship needs of rural older adults may result in better survivorship care for this population., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Purpose: To update the ASCO guideline (2018) on the practical assessment and management of age-associated vulnerabilities in older patients undergoing systemic cancer therapy., Methods: An Expert Panel conducted a systematic review to identify relevant randomized clinical trials (RCTs), systematic reviews, and meta-analyses from January 2016 to December 2022., Results: A total of 26 publications met eligibility criteria and form the evidentiary basis for the update., Recommendations: The Expert Panel reiterates its overarching recommendation from the prior guideline that geriatric assessment (GA), including all essential domains, should be used to identify vulnerabilities or impairments that are not routinely captured in oncology assessments for all patients over 65 years old with cancer. Based on recently published RCTs demonstrating significantly improved clinical outcomes, all older adults with cancer (65+ years old) receiving systemic therapy with GA-identified deficits should have GA-guided management (GAM) included in their care plan. GAM includes using GA findings to inform cancer treatment decision-making as well as to address impairments through appropriate interventions, counseling, and/or referrals. A GA should include high priority aging-related domains known to be associated with outcomes in older adults with cancer: physical and cognitive function, emotional health, comorbid conditions, polypharmacy, nutrition, and social support. Clinical adaptation of the GA based on patient population, resources, and time is appropriate.The Panel recommends the Practical Geriatric Assessment as one option for this purpose (https://old-prod.asco.org/sites/new-www.asco.org/files/content-files/practice-patients/documents/2023-PGA-Final.pdf; https://youtu.be/jnaQIjOz2Dw; https://youtu.be/nZXtwaGh0Z0).Additional information is available at www.asco.org/supportive-care-guidelines.

Purpose: We described information technology support and use of telemedicine for cancer care and research purposes at community oncology practices within the National Cancer Institute Community Oncology Research Program (NCORP)., Methods: We used data from the NCORP 2017 and 2022 Landscape Assessments. Separate logistic regression models were used to assess factors associated with the use of telemedicine for delivery of cancer care in 2017 and for research purposes in 2022 (cancer care delivery not assessed in 2022)., Results: Information was available from 210 and 259 practice groups excluding pediatric-only groups in 2017 and 2022, respectively. In 2017, 30% of practice groups used telemedicine for delivery of cancer care; half of these (15% overall) could use telemedicine for research purposes. In 2022, telemedicine was used for research purposes in 73% of practice groups. In multivariable models, self-identifying as a safety-net hospital was associated with a lower odd of telemedicine use for delivery of cancer care (adjusted odds ratio [AOR], 0.39; 95% CI, 0.17 to 0.93), whereas affiliation with a designated critical access hospital was associated with a higher odd of telemedicine use for delivery of cancer care (AOR, 2.29; 95% CI, 1.10 to 4.76). Having a general survivorship clinic (AOR, 1.92; 95% CI, 1.04 to 3.54) and number of oncology providers (increase per 10 providers; AOR, 1.32; 95% CI, 1.05 to 1.65) were associated with telemedicine use for research purposes., Conclusion: Almost one third of NCORP practice groups used telemedicine for cancer care delivery in 2017. In 2022, there is high capacity among NCORP practices (almost three-quarters) to use telemedicine for research purposes, especially among practices with a general survivorship clinic and a greater provider number.

Background: Polypharmacy is common in older adults who are starting cancer treatment and is associated with an increased risk of potentially inappropriate medications (PIMs) and potential drug-drug interactions (PDIs). The authors evaluated the association of medication measures with adverse outcomes in older adults with advanced cancer who were receiving systemic therapy., Methods: This secondary analysis from GAP 70+ Trial (ClinicalTrials.gov identifier NCT02054741; principal investigator, Supriya G. Mohile) enrolled patients aged 70 years and older with advanced cancer who planned to start a new treatment regimen (n = 718). Polypharmacy was assessed before the initiation of treatment and was defined as the concurrent use of eight or more medications. PIMs were categorized using 2019 Beers Criteria and the Screening Tool of Older Persons' Prescriptions. PDIs were evaluated using Lexi-Interact Online. Study outcomes were assessed within 3 months of treatment and included: (1) the number of grade ≥2 and ≥3 toxicities according to the National Cancer Institute Common Toxicity Criteria, (2) treatment-related unplanned hospitalization, and (3) early treatment discontinuation. Multivariable regression models examined the association of medication measures with outcomes., Results: The mean patient age was 77 years, and 57% had lung or gastrointestinal cancers. The median number of medications was five (range, 0-24 medications), 28% of patients received eight or more medications, 67% received one or more PIM, and 25% had one or more major PDI. The mean number of grade ≥2 toxicities in patients with polypharmacy was 9.8 versus 7.7 in those without polypharmacy (adjusted β = 1.87; standard error, 0.71; p <.01). The mean number of grade ≥3 toxicities in patients with polypharmacy was 2.9 versus 2.2 in patients without polypharmacy (adjusted β = 0.59; standard error, 0.29; p = .04). Patients with who had one or more major PDI had 59% higher odds of early treatment discontinuation (odds ratio, 1.59; 95% confidence interval, 1.03-2.46; p = .03)., Conclusions: In a cohort of older adults with advanced cancer, polypharmacy and PDIs were associated with an increased risk of adverse treatment outcomes. Providing meaningful screening and interventional tools to optimize medication use may improve treatment-related outcomes in these patients., (© 2023 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)

Importance: Older adults with advanced cancer who have high pretreatment symptom severity often experience adverse events during cancer treatments. Unsupervised machine learning may help stratify patients into different risk groups., Objective: To evaluate whether clusters identified from baseline patient-reported symptom severity were associated with adverse outcomes., Design, Setting, and Participants: This secondary analysis of the Geriatric Assessment Intervention for Reducing Toxicity in Older Patients With Advanced Cancer (GAP70+) Trial (2014-2019) included patients who completed the National Cancer Institute Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) before starting a new cancer treatment regimen and received care at community oncology sites across the United States. An unsupervised machine learning algorithm (k-means with Euclidean distance) clustered patients based on similarities of baseline symptom severities. Clustering variables included severity items of 24 PRO-CTCAE symptoms (range, 0-4; corresponding to none, mild, moderate, severe, and very severe). Total severity score was calculated as the sum of 24 items (range, 0-96). Whether the clusters were associated with unplanned hospitalization, death, and toxic effects was then examined. Analyses were conducted in January and February 2022., Exposures: Symptom severity., Main Outcomes and Measures: Unplanned hospitalization over 3 months (primary), all-cause mortality over 1 year, and any clinician-rated grade 3 to 5 toxic effect over 3 months., Results: Of 718 enrolled patients, 706 completed baseline PRO-CTCAE and were included (mean [SD] age, 77.2 [5.5] years, 401 [56.8%] male patients; 51 [7.2%] Black and 619 [87.8%] non-Hispanic White patients; 245 [34.7%] with gastrointestinal cancer; 175 [24.8%] with lung cancer; mean [SD] impaired Geriatric Assessment domains, 4.5 [1.6]). The algorithm classified 310 (43.9%), 295 (41.8%), and 101 (14.3%) into low-, medium-, and high-severity clusters (within-cluster mean [SD] severity scores: low, 6.3 [3.4]; moderate, 16.6 [4.3]; high, 29.8 [7.8]; P < .001). Controlling for sociodemographic variables, clinical factors, study group, and practice site, compared with patients in the low-severity cluster, those in the moderate-severity cluster were more likely to experience hospitalization (risk ratio, 1.36; 95% CI, 1.01-1.84; P = .046). Moderate- and high-severity clusters were associated with a higher risk of death (moderate: hazard ratio, 1.31; 95% CI, 1.01-1.69; P = .04; high: hazard ratio, 2.00; 95% CI, 1.43-2.78; P < .001), but not toxic effects., Conclusions and Relevance: In this study, unsupervised machine learning partitioned patients into distinct symptom severity clusters; patients with higher pretreatment severity were more likely to experience hospitalization and death., Trial Registration: ClinicalTrials.gov Identifier: NCT02054741.

Background: Older adults (age ≥65 years) receiving chemotherapy are at risk for hospitalization. Predictors of unplanned hospitalization among older adults receiving chemotherapy for cancer were recently published using data from a study conducted by the Cancer and Aging Research Group (CARG). Our study aimed to externally validate these predictors in an independent cohort including older adults with advanced cancer receiving chemotherapy., Methods: This validation cohort included patients (n=369) from the GAP70+ trial usual care arm. Enrolled patients were aged ≥70 years with incurable cancer and were starting a new line of chemotherapy. Previously identified risk factors proposed by the CARG study were ≥3 comorbidities, albumin level <3.5 g/dL, creatinine clearance <60 mL/min, gastrointestinal cancer, ≥5 medications, requiring assistance with activities of daily activities (ADLs), and having someone available to take them to the doctor (ie, presence of social support). The primary outcome was unplanned hospitalization within 3 months of treatment initiation. Multivariable logistic regression was applied including the 7 identified risk factors. Discriminative ability of the fitted model was performed by calculating the area under the receiver operating characteristic (AUC) curve., Results: Mean age of the cohort was 77 years, 45% of patients were women, and 29% experienced unplanned hospitalization within the first 3 months of treatment. The proportions of hospitalized patients with 0-3, 4-5, and 6-7 identified risk factors were 24%, 28%, and 47%, respectively (P=.04). Impaired ADLs (odds ratio, 1.76; 95% CI, 1.04-2.99) and albumin level <3.5 g/dL (odds ratio, 2.23; 95% CI, 1.37-3.62) were significantly associated with increased odds of unplanned hospitalization. The AUC of the model, including the 7 identified risk factors, was 0.65 (95% CI, 0.59-0.71)., Conclusions: The presence of a higher number of risk factors was associated with increased odds of unplanned hospitalization. This association was largely driven by impairment in ADLs and low albumin level. Validated predictors of unplanned hospitalization can help with counseling and shared decision-making with patients and their caregivers., Clinicaltrials: gov identifier: NCT02054741.

Purpose: Providing a geriatric assessment (GA) summary with management recommendations to oncologists reduces clinician-rated toxicity in older patients with advanced cancer receiving treatment. This secondary analysis of a national cluster randomized clinical trial (ClinicalTrials.gov identifier: NCT02054741) aims to assess the effects of a GA intervention on symptomatic toxicity measured by Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE)., Methods: From 2014 to 2019, the study enrolled patients age ≥ 70 years, with advanced solid tumors or lymphoma and ≥ 1 GA domain impairment, who were initiating a regimen with high prevalence of toxicity. Patients completed PRO-CTCAEs, including the severity of 24 symptoms (11 classified as core symptoms) at enrollment, 4-6 weeks, 3 months, and 6 months. Symptoms were scored as grade ≥ 2 (at least moderate) and grade ≥ 3 (severe/very severe). Symptomatic toxicity was determined by an increase in severity during treatment. A generalized estimating equation model was used to assess the effects of the GA intervention on symptomatic toxicity., Results: Mean age was 77 years (range, 70-96 years), 43% were female, and 88% were White, 59% had GI or lung cancers, and 27% received prior chemotherapy. In 706 patients who provided PRO-CTCAEs at baseline, 86.1% reported at least one moderate symptom and 49.7% reported severe/very severe symptoms at regimen initiation. In 623 patients with follow-up PRO-CTCAE data, compared with usual care, fewer patients in the GA intervention arm reported grade ≥ 2 symptomatic toxicity (overall: 88.9% v 94.8%, P = .035; core symptoms: 83.4% v 91.7%, P = .001). The results for grade ≥ 3 toxicity were comparable but not significant ( P > .05)., Conclusion: In the presence of a high baseline symptom burden, a GA intervention for older patients with advanced cancer reduces patient-reported symptomatic toxicity.

Objectives: Explore how older patients utilize their social networks to inform prognostic understanding., Methods: In a pilot study of adults (≥65 years old) with advanced cancer, 16 patients completed surveys, social network maps, and semi-structured interviews exploring with whom they preferred to communicate about their illness. Interviews were analyzed using open-coding, and codes were categorized into emergent themes. Social network maps and themes were analyzed via mixed-methods social network analysis (MMSNA). Three case examples with diverse network characteristics and communication patterns were selected for further analysis., Results: Three overarching themes (i.e., prognostic understanding, social support, and therapeutic alliance) revealed that patients' prognostic understanding was strongly influenced by the quality of the social support patients perceived from members of their social networks. Patients demonstrated prognostic understanding when they reported close relationships and open communication with their network members. Case examples revealed some ways that patients sought information and had better sense of their prognosis when they had supportive social networks., Conclusion: Findings illustrate how understanding social networks may provide information on how older adults with cancer seek, share, and process prognostic information., Competing Interests: Conflict of Interest None., (Copyright © 2022. Published by Elsevier B.V.)

In April 2021, the National Cancer Institute (NCI) Division of Cancer Prevention collaborated with the NCI Division of Cancer Treatment and Diagnosis to produce a virtual workshop that developed recommendations for enhancing NCI-sponsored clinical trial accrual of older adults. Prior to the workshop, a multidisciplinary group of stakeholders (eg, community oncologists, advanced practice practitioners, clinic and research staff, and patient advocates) gathered information related to accrual of older adults to clinical trials from the literature. Subsequently, a survey was conducted to detail NCI Community Oncology Research Program members' perspective on accrual barriers for this population; 305 individuals responded to the survey. Barriers to clinical trial accruals included comorbidity-attributed trial ineligibility, transportation and time issues, concern that the proposed regimen is too toxic for older adults, patient or family caregiver declined participation, and lack of trials relevant to older patients. Identified solutions included broadening clinical trial inclusion criteria, increasing the number of clinical trials specifically designed for older adults, simplifying consent forms, improving recruitment materials for older adults and their families, and facilitating transportation vouchers. At the workshop, participants, including stakeholders, used prior literature and survey results to develop recommendations, including interventions to address clinician bias, implement geriatric assessment, and promote clinician and staff engagement as mechanisms to improve accrual of older adults to clinical trials., (Published by Oxford University Press 2022.)

Although adults aged 65 years or older make up a strong majority of cancer patients, their underrepresentation in cancer clinical trials leads to the lack of representative data to guide evidence-based therapeutic decisions in this patient population. The Trial Design Working Group, convened as part of the workshop titled, Engaging Older Adults in the National Cancer Institute Clinical Trials Network: Challenges and Opportunities, recommended study designs and design elements that could improve accrual of older adults in National Cancer Institute-funded clinical trials. These include trials that are specifically designed to enroll older adults, trials that include a cohort of older patients (parallel cohort, stratified cohort, or embedded cohort), and trials with pragmatic design elements to facilitate enrollment of older adults. This manuscript provides brief descriptions of the recommended designs, examples of successful trials, and considerations for implementation of these designs. As with any clinical trial, the scientific questions and trial objectives should drive the study design, the selection of endpoints and intervention, and eligibility criteria. When designing trials that include older adults, the heterogeneity of fitness levels is an important consideration as fitness can influence accrual rates and outcomes. Appropriately incorporating geriatric assessments can help identify the optimal subset of older patients for inclusion and minimize selection bias. Incorporating pragmatic design elements to reduce the burden on trial participants as well as on accruing sites and retaining essential elements to ensure that the main goal of the trial can be accomplished can enhance enrollment without compromising the integrity of trials., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Little is known about how older adults (OA) with advanced cancer interact with social network members (NM), and the nature of communication. This qualitative study aimed to characterize the processes by which OAs with cancer engage with NMs regarding their illness., Methods: OAs 65 + with advanced cancer and considering treatment (n = 29) and NMs (n = 18) underwent semi-structured interviews asking 1) about their illness understanding; 2) to identify NMs with whom OAs discuss health-related matters; and 3) to describe the content, process, and impact of those illness-related conversations. Three coders analyzed transcribed interviews. Codes were categorized and emergent themes were identified to generate hypotheses., Results: OAs seek NMs with medical backgrounds for cancer-related information and NMs with personal experience of a serious illness for emotional support. Patients characterize geographical location, frequency of communication, and length of NM relationship as factors that influence the nature of support the NM provides. Additionally, differences emerged between OA and NM perspectives on the depth of conversations and decision-making., Conclusions: A better characterization of how OAs' seek and share information and support may improve medical communication, disease understanding, and support goals-concordant care., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Purpose: Falls are a modifiable source of morbidity for older adults with cancer, yet are underassessed in oncology practice. In this secondary analysis of a nationwide cluster-randomized controlled trial, we examined characteristics associated with patient-oncologist conversations about falls, and whether oncologist knowledge of geriatric assessment (GA) resulted in more conversations., Methods: Eligible patients (ClinicalTrials.gov identifier: NCT02107443) were age ≥ 70 years, had stage III/IV solid tumor or lymphoma, were being treated with noncurative treatment intent, and ≥ 1 GA domain impairment. Patients in both arms underwent GA. At practices randomly assigned to the intervention arm, oncologists were provided a GA summary with management recommendations. In both arms, patients had one clinical encounter audio-recorded, transcribed, and coded to categorize whether a conversation about falls occurred. Generalized linear mixed models adjusted for arm, practice site, and other important covariates were used to generate proportions and odds ratios (ORs) from the full sample., Results: Of 541 patients (intervention N = 293 and usual care N = 248, mean age: 77 years, standard deviation: 5.3), 528 had evaluable audio recordings. More patients had conversations about falls in the intervention versus usual care arm (61.3% v 10.3%, P < .001). Controlling for the intervention and practice site, history of falls (OR, 2.1; 95% CI, 1.3 to 3.6; P = .005) and impaired physical performance (OR, 4.7; 95% CI, 1.7 to 12.8; P = .002) were significantly associated with patient-oncologist conversations about falls., Conclusion: GA intervention increased conversations about falls. History of falls and impaired physical performance were associated with patient-oncologist conversations about falls in community oncology practice.

This report summarizes the presentations, discussions, and recommendations of the most recent American Geriatrics Society and National Institute on Aging research conference, "Cancer and Cardiovascular Disease," on October 18-19, 2021. The purpose of this virtual meeting was to address the interface between cancer and heart disease, which are the two leading causes of death among older Americans. Age-related physiologic changes are implicated in the pathogenesis of both conditions. Emerging data suggest that cancer-related cardiovascular disease (CVD) involves disrupted cell signaling and cellular senescence. The risk factors for CVD are also risk factors for cancer and an increased likelihood of cancer death, and people who have both cancer and CVD do more poorly than those who have only cancer or only CVD. Issues addressed in this bench-to-bedside conference include mechanisms of cancer and CVD co-development in older adults, cardiotoxic effects of cancer therapy, and management of comorbid cancer and CVD. Presenters discussed approaches to ensure equitable access to clinical trials and health care for diverse populations of adults with CVD and cancer, mechanisms of cancer therapy cardiotoxicity, and management of comorbid CVD and cancer, including the role of patient values and preferences in treatment decisions. Workshop participants identified many research gaps and questions that could lead to an enhanced understanding of comorbid CVD and cancer and to better and more equitable management strategies., (© 2022 The American Geriatrics Society.)

Competing Interests: Declaration of Competing Interest No authors declare any competing interests.

Many older patients with myeloid neoplasms experience treatment-related toxicities. We previously demonstrated that a home-based, progressive aerobic walking and resistance exercise program (EXCAP) improved physical and psychological outcomes in patients with cancer. However, older patients have more difficulty adhering to exercise than younger patients. Reasons may include low motivation, difficulty with transportation, and limited access to exercise professionals. To improve exercise adherence, we integrated a mobile app with EXCAP (GO-EXCAP) and assessed its feasibility and usability in a single-arm pilot study among older patients with myeloid neoplasms undergoing outpatient chemotherapy. GO-EXCAP intervention lasts for 2 cycles of treatment, and the primary feasibility metric was data reporting on the app. Usability was evaluated via the system usability scale (SUS). Patients were interviewed at mid and postintervention to elicit their feedback, and deductive thematic analysis was applied to the transcripts. Twenty-five patients (mean age, 72 years) were recruited. Recruitment and retention rates were 64% and 88%, respectively. Eighty-two percent (18/22) of patients entered some exercise data on the app at least half of the study days, excluding hospitalization (a priori, we considered 70% as feasible). Averaged daily steps were 2848 and 3184 at baseline and after intervention, respectively. Patients also performed resistance exercises 26.2 minutes per day, 2.9 days per week at low intensity (rate of perceived exertion 3.8/10). Usability was above average (SUS, 70.3). In qualitative analyses, 3 themes were identified, including positive experience with the intervention, social interactions, and flexibility. The GO-EXCAP intervention is feasible and usable for older patients with myeloid neoplasms undergoing outpatient chemotherapy. This trial was registered at www.clinicaltrials.gov as #NCT04035499., (© 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

Purpose: Polypharmacy is prevalent in older adults starting cancer treatment and associated with potentially inappropriate medications (PIM), potential drug-drug interactions (DDI), and drug-cancer treatment interactions (DCI). For a large cohort of vulnerable older adults with advanced cancer starting treatment, we describe patterns of prescription and nonprescription medication usage, the prevalence of PIM, and the prevalence, severity, and type of DDI/DCI., Methods: This secondary analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment (University of Rochester Cancer Center [URCC] 13059; PI: Mohile). PIM were categorized using 2019 Beers criteria and Screening Tool of Older Persons' Prescriptions. Potential DDI/DCI were evaluated using Lexi-Interact Online. Medication classification followed the World Health Organization Anatomical Therapeutic Chemical system. Bivariate associations were evaluated between sociodemographic and geriatric assessment (GA) measures and medication measures. Chord diagrams and network analysis were used to understand and describe DDI/DCI., Results: Among 718 patients (mean age 77.6 years), polypharmacy (≥5 medications), excessive polypharmacy (≥10 medications), and ≥1 PIM were identified in 61.3%,14.5%, and 67.1%, respectively. Cardiovascular medications were the most prevalent (47%), and nonprescription medications accounted for 26% of total medications and 40% of PIM. One-quarter of patients had ≥1 potential major DDI not involving cancer treatment, and 5.4% had ≥1 potential major DCI. Each additional medication increased the odds of a potential major DDI and DCI by 39% and 12%, respectively. Polypharmacy and PIM are associated with multiple GA domains., Conclusion: In a cohort of vulnerable older adults with advanced cancer starting treatment, polypharmacy, PIM, and potential DDI/DCI are very common. Nonprescription medications are frequently PIMs and/or involved in potential DDI/DCI., (© The Author(s) 2022. Published by Oxford University Press.)

Background: Informed treatment decision-making necessitates accurate prognostication, including predictions about quality of life., Aims: We examined whether oncologists, patients with advanced cancer, and caregivers accurately predict patients' future quality of life and whether these predictions are prospectively associated with end-of-life care and bereavement., Materials & Methods: We conducted secondary analyses of clinical trial data. Patients with advanced cancer (n = 156), caregivers (n = 156), and oncologists (n = 38) predicted patient quality of life 3 months into the future. Patients subsequently rated their quality of life 3 months later. Medical record data documented chemotherapy and emergency department (ED)/inpatient visits in the 30 days before death (n = 79 decedents). Caregivers self-reported on depression, anxiety, grief, purpose, and regret 7-months post-mortem. In mixed-effects models, patient, caregiver, and oncologist quality-of-life predictions at study entry were used to predict end-of-life care and caregiver outcomes, controlling for patients' quality of life at 3-month follow-up, demographic and clinical characteristics, and nesting within oncologists., Results: Caregivers (P < 0.0001) and oncologists (P = 0.001) predicted lower quality of life than what patients actually experienced. Among decedents, 24.0% received chemotherapy and 54.5% had an ED/inpatient visit. When caregivers' predictions were more negative, patients were less likely to receive chemotherapy (P = 0.028) or have an ED/inpatient visit (P = 0.033), and caregivers reported worse depression (P = 0.002), anxiety (P = 0.019), and grief (P = 0.028) and less purpose in life (P < 0.001) 7-months post-mortem., Conclusion: When caregivers have more negative expectations about patients' quality of life, patients receive less intensive end-of-life care, and caregivers report worse bereavement outcomes., (© 2022 John Wiley & Sons Ltd.)

Objective: One primary source of psychological distress in patients with cancer and their caregivers is uncertainty. However, the uncertainty trajectory and its relationship between older adults with advanced cancer and their caregivers have rarely been examined. This study describes the uncertainty trajectory in patient-caregiver dyads, explores the effect of geriatric assessment (GA) intervention on trajectory, and examines the interdependent relationship of uncertainty., Methods: This secondary analysis used longitudinal data from a national cluster-randomized controlled trial examining a GA intervention compared to usual care. Participants completed the modified 9-item Mishel Uncertainty in Illness Scale at enrollment, 4-6 weeks, 3 months, and 6 months. The dyadic growth model and cross-lagged actor-partner interdependence model were used., Results: A total of 397 dyads (patient age M = 76.81 ± SD5.43; caregiver age M = 66.69 ± SD12.52) were included. Both had a trend of decreased uncertainty over time (b = -0.16, p < 0.01). There was a greater decrease in uncertainty among caregivers in the GA group than those in the usual care group (b = -0.46, p = 0.02). For both patients and caregivers, their past uncertainty was a significant predictor of their own current uncertainty (i.e., actor effect, p < 0.01). The individual's past uncertainty was a significant predictor of the other dyad member's current uncertainty (i.e., partner effect, p < 0.05), indicating an interdependent relationship between patient and caregiver uncertainty over time., Conclusions: Findings suggest patient and caregiver function as a unit with uncertainty levels affecting each other. Future interventions could build on GA to address uncertainty for older patients with advanced cancer and caregivers., (© 2022 John Wiley & Sons Ltd.)

This perspectives paper provides an overview of how to read and interpret a Sankey, examples using symptom data from older adults with advanced cancer, a synopsis of medical literature, and comments on creating and using the diagram for presentation of data. From prior reports and our own, we conclude Sankeys are an excellent tool for visualizing the changing status of older patients with cancer. Older adult symptom data is used as an example with data dispalyed in a range of Sankey flow diagrams. Because there is large heterogeneity in aging, different subgroups can be examined. In a single diagram, Sankey can show both the likelihood and variability of patients' future status from their current status., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Shared decision making (SDM) is especially important for older adults with cancer given the risks of over- and undertreatment, uncertainty regarding benefits/harms worsened by research underrepresentation, and individual preferences. We aimed to adapt the Best Case/Worst Case (BC/WC) communication tool, which improves SDM in geriatric surgery, to geriatric oncology., Methods: We conducted focus groups with 40 stakeholders (fourteen older adults with lung cancer, twelve caregivers, fourteen medical oncologists) to elicit perspectives on using the BC/WC tool for geriatric oncology and to identify components needing refinement. During each focus group, participants viewed a BC/WC demonstration video and answered questions modified from the Decision Aid Acceptability Scale. We analyzed transcripts using deductive and inductive thematic analyses., Discussion: Participants believed that the BC/WC tool could help patients understand their cancer care choices, explore tradeoffs and picture potential outcomes, and deliberate about decisions based on their goals, preferences, and values. Oncologists also reported the tool could guide conversations to address points that may frequently be skipped (e.g., alternative options, treatment goals). Participant preferences varied widely regarding discussion of the worst-case scenario and desire for statistical information., Conclusion: The BC/WC tool is a promising strategy that may improve SDM in geriatric oncology and patient understanding of alternative options and treatment goals. Based on participant input, adaptations will include framing cancer care as a series of decisions, eliciting patient preferences and asking permission before offering the worst-case scenario, and selection of the two most relevant options to present if multiple exist., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Purpose: There is limited information regarding the use of the geriatric assessment (GA) for older adults with cancer in developing countries. We aimed to describe geriatric oncology practice among Mexican oncology professionals and to identify barriers and facilitators for the implementation of GA into the routine care of older adults with cancer in Mexico., Methods: We conducted an explanatory sequential mixed-methods study. We administered an online survey to cancer specialists in Mexico about the routine use of GA and barriers for its use. We then conducted online semistructured interviews with survey respondents selected by their use of GA, expanding on barriers and facilitators for performing GA. Descriptive statistical analyses were performed for quantitative data; qualitative data were analyzed inductively through thematic analysis. We developed joint displays to integrate quantitative/qualitative results., Results: We obtained 196 survey responses: 37 physicians (18.9%) reported routinely performing a GA. Medical oncologists ( P = .002) and physicians seeing ≤ 10 patients/day ( P = .010) were more likely to use GA. The most frequent barriers for GA use were lack of qualified personnel (49%), limited knowledge (43.9%), and insufficient time (37.2%). In the interviews (n = 22), the limited availability of geriatricians was commonly mentioned. Respondents highlighted the lack of geriatric oncology knowledge among cancer specialists and geriatricians. Saturation of oncology services and a lack of effective referral pathways for GA were also common issues. Facilitators included availability of geriatricians, system/administrative facilitators, presence of a multidisciplinary team, and availability of geriatric oncology education., Conclusion: The routine use of geriatric oncology principles in Mexico is limited by the availability of qualified personnel and by insufficient knowledge. An educational intervention could improve the implementation of GA in cancer care., Competing Interests: Haydee C. Verduzco-AguirreTravel, Accommodations, Expenses: Bristol Myers Squibb (Mexico) Hector Martínez-SaidConsulting or Advisory Role: MSD Oncology, NovartisSpeakers' Bureau: MSD Oncology, Novartis Gregorio Quintero BeuloEmployment: Bristol Myers SquibbStock and Other Ownership Interests: Bristol Myers SquibbHonoraria: AstraZenecaSpeakers' Bureau: AstraZeneca Supriya G. MohileConsulting or Advisory Role: Seattle GeneticsResearch Funding: Carevive (Inst) Enrique Soto-Perez-De-CelisThis author is a member of the JCO Global Oncology Editorial Board. Journal policy recused the author from having any role in the peer review of this manuscript.Research Funding: RocheNo other potential conflicts of interest were reported.

Objectives: Oncologists estimate patients' prognosis to guide care. Evidence suggests oncologists tend to overestimate life expectancy, which can lead to care with questionable benefits. Information obtained from geriatric assessment may improve prognostication for older adults. In this study, we created a geriatric assessment-based prognostic model for older adults with advanced cancer and compared its performance to alternative models., Materials and Methods: We conducted a secondary analysis of a trial (URCC 13070; PI: Mohile) capturing geriatric assessment and vital status up to one year for adults age ≥ 70 years with advanced cancer. Oncologists estimated life expectancy as 0-6 months, 7-12 months, and > 1 year. Three statistical models were developed: (1) a model including age, sex, cancer type, and stage (basic model), (2) basic model + Karnofsky Performance Status (≤50, 60-70, and 80+) (KPS model), and (3) basic model +16 binary indicators of geriatric assessment impairments (GA model). Cox regression was used to model one-year survival; c-indices and time-dependent c-statistics assessed model discrimination and stratified survival curves assessed model calibration., Results: We included 484 participants; mean age was 75; 48% had gastrointestinal or lung cancer. Overall, 43% of patients died within one year. Oncologists classified prognosis accurately for 55% of patients, overestimated for 35%, and underestimated for 10%. C-indices were 0.61 (basic model), 0.62 (KPS model), and 0.63 (GA model). The GA model was well-calibrated., Conclusions: The GA model showed moderate discrimination for survival, similar to alternative models, but calibration was improved. Further research is needed to optimize geriatric assessment-based prognostic models for use in older adults with advanced cancer., Competing Interests: Declaration of Competing Interest Dr. Lund's spouse is a paid employee of GlaxoSmithKline and owns stock in the company. Dr. Loh reports being paid as a consultant to Pfizer and Seattle Genetics., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown., Methods: This was a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and impairment on 1 or more GA domains (ClinicalTrials.gov Identifier NCT02107443; principal investigator Supriya G. Mohile). Practice sites were randomized to either the GA-intervention or usual care. Frailty was assessed with a deficit accumulation index (range, 0-1), and patients were stratified as robust (0 to <0.2), prefrail (0.2 to <0.35), or frail (≥0.35). The clinic visit after the GA-intervention was audio-recorded, transcribed, and coded to evaluate the number and quality of conversations about aging-related concerns. Linear mixed models examined differences in the number and quality of conversations within and between arms. All P values were 2-sided., Results: Patients (n = 541) were classified as robust (27%), prefrail (42%), or frail (31%). In the usual care arm, frail patients (vs robust ones) engaged in more aging-related conversations (adjusted mean difference, 1.73; 95% confidence interval [CI], 0.59-2.87), conversations of higher quality (difference, 1.12; 95% CI, 0.24-2.0), and more discussions about evidence-based recommendations (difference, 0.71; 95% CI, 0.04-1.38; all P values ≤ .01). Similarly, in the GA intervention arm, frail patients (vs robust ones) engaged in more aging-related conversations (difference, 2.49; 95% CI, 1.51-3.47), conversations of higher quality (difference, 1.31; 95% CI, 0.56-2.06), and more discussions about evidence-based recommendations (difference, 0.87; 95% CI, 0.32-1.42; all P values ≤ .01). Furthermore, the GA-intervention significantly improved the number and quality of conversations in all patients: robust, prefrail, and frail (all P values ≤ .01)., Conclusions: Patients with higher degrees of frailty and those exposed to the GA-intervention had more and higher quality conversations about aging-related concerns with oncologists., Lay Summary: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown. This study conducted a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and 1 or more GA domain impairments. Patients were stratified as robust, prefrail, or frail. The number and quality of conversations about aging-related concerns that occurred during the clinic visit after the GA-intervention were determined. Patients with higher degrees of frailty and those in the GA intervention arm had more and higher quality conversations about aging-related concerns with oncologists., (© 2021 American Cancer Society.)

Context: Systematic collection of patient-reported outcomes (PROs) reduces symptom burden and improves quality of life. The ability of older adults to complete PROs, however, has not been thoroughly studied., Objectives: To determine whether older adults with advanced cancer received assistance completing PROs, the nature of the assistance, the factors associated with receiving assistance, and how the prevalence of assistance changed over time., Methods: Data were obtained from a multisite cluster randomized controlled study of geriatric assessment (Clinicaltrials.gov: NCT02107443). Adults ≥70 years with advanced cancer completed multiple PROs at 4 time points (enrollment, 6 weeks, 3 months, 6 months). Factors associated with receipt of assistance were assessed with bivariate and multivariate analyses., Results: The study included 541 adults (range 70-96 years, 49% female, mixed incurable cancer diagnoses). Twenty-eight percent (153/541) received assistance completing PROs. Of these, 42% received assistance from caregivers, 37% from research staff, and 15% from both. Factors associated with receiving assistance included older age [Adjusted Odds Ratio (AOR) 3.71, 95% Confidence Interval (CI) 1.03-13.38], lower education level (3.92, 2.11-7.29), impaired cognition (1.90, 1.23-2.93), impaired functional status (2.16, 1.33-3.52), and impaired hearing (1.38, 1.05-1.80). Eighty percent of individuals who received assistance were identified at study initiation. Receiving assistance decreased over time from 28% to 18%, partially due to drop-outs., Conclusion: Over a quarter of older adults with advanced cancer in this study received assistance completing PROs. Completing PROs is a key aspect of many clinical programs and cancer trials; assistance in completing PROs should be offered and provided., (Copyright © 2021 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: A poor prognostic understanding regarding curability is associated with lower odds of hospice use among patients with cancer. However, the association between poor prognostic understanding or prognostic discordance and health care use among older adults with advanced incurable cancers is not well characterized., Objective: To evaluate the association of poor prognostic understanding and patient-oncologist prognostic discordance with hospitalization and hospice use among older adults with advanced cancers., Design, Setting, and Participants: This was a post hoc secondary analysis of a cluster randomized clinical trial that recruited patients from October 29, 2014, to April 28, 2017. Data were collected from community oncology practices affiliated with the University of Rochester Cancer Center National Cancer Institute Community Oncology Research Program. The parent trial enrolled 541 patients who were aged 70 years or older and were receiving or considering any line of cancer treatment for incurable solid tumors or lymphomas; the patients' oncologists and caregivers (if available) were also enrolled. Patients were followed up for at least 1 year. Data were analyzed from January 3 to 16, 2021., Main Outcomes and Measures: At enrollment, patients and oncologists were asked about their beliefs regarding cancer curability (100%, >50%, 50%, <50%, and 0%; answers other than 0% reflected poor prognostic understanding) and life expectancy (≤6 months, 7-12 months, 1-2 years, 2-5 years, and >5 years; answers of >5 years reflected poor prognostic understanding). Any difference between oncologist and patient in response options was considered discordant. Outcomes were any hospitalization and hospice use at 6 months captured by the clinical research associates., Results: Among the 541 patients, the mean (SD) age was 76.6 (5.2) years, 264 of 540 (49%) were female, and 486 of 540 (90%) were White. Poor prognostic understanding regarding curability was reported for 59% (206 of 348) of patients, and poor prognostic understanding regarding life expectancy estimates was reported for 41% (205 of 496) of patients. Approximately 60% (202 of 336) of patient-oncologist dyads were discordant regarding curability, and 72% (356 of 492) of patient-oncologist dyads were discordant regarding life expectancy estimates. Poor prognostic understanding regarding life expectancy estimates was associated with lower odds of hospice use (adjusted odds ratio, 0.30; 95% CI, 0.16-0.59). Discordance regarding life expectancy estimates was associated with greater odds of hospitalization (adjusted odds ratio, 1.64; 95% CI, 1.01-2.66)., Conclusions and Relevance: This study highlights different constructs of prognostic understanding and the need to better understand the association between prognostic understanding and health care use among older adult patients with advanced cancer., Trial Registration: ClinicalTrials.gov Identifier: NCT02107443.

Purpose: Older patients with advanced cancer often have comorbidities that can worsen their cancer and treatment outcomes. We assessed how a geriatric assessment (GA)-guided intervention can guide conversations about comorbidities among patients, oncologists, and caregivers., Methods: This secondary analysis arose from a nationwide, multisite cluster-randomized trial (ClinicalTrials.gov identifier: NCT02107443). Eligible patients were ≥ 70 years, had advanced cancer (solid tumors or lymphoma), and had impairment in at least one GA domain (not including polypharmacy). Oncology practices (n = 30) were randomly assigned to usual care or intervention. All patients completed a GA; in the intervention arm, a GA summary with recommendations was provided to their oncologist. Patients completed an Older Americans Resources and Services Comorbidity questionnaire at screening. The clinical encounter following GA was audio-recorded, transcribed, and coded for topics related to comorbidities. Linear mixed models examined the effect of the intervention on the outcomes adjusting for practice site as a random effect., Results: Patients (N = 541) were 76.6 ± 5.2 years old; 94.6% of patients had at least one comorbidity with an average of 3.2 ± 1.9. The intervention increased the average number of conversations regarding comorbidities per patient from 0.52 to 0.99 ( P < .01). Moreover, there were a greater number of concerns acknowledged (0.52 v 0.32; P = .03) and there was a 2.4-times higher odds of having comorbidity concerns addressed via referral, handout, or other modes (95% CI, 1.3 to 4.3; P = .004). Most oncologists in the intervention arm (76%) discussed comorbidities in light of the treatment plan, and 41% tailored treatment plans., Conclusion: Providing oncologists with a GA-guided intervention enhanced communication regarding comorbidities., Competing Interests: Richard F. DunneConsulting or Advisory Role: Exelixis Nicholas J. VogelzangEmployment: US OncologyStock and Other Ownership Interests: Caris Life SciencesHonoraria: UpToDate, Pfizer, Novartis, MerckConsulting or Advisory Role: Pfizer, Bayer, Genentech/Roche, AstraZeneca, Caris Life Sciences, Tolero Pharmaceuticals, Merck, Astellas Pharma, Boehringer Ingelheim, Corvus Pharmaceuticals, Modra Pharmaceuticals, Clovis Oncology, Janssen Oncology, Eisai, Myovant SciencesSpeakers' Bureau: Bayer, Sanofi, Genentech/Roche, Bristol Myers Squibb, Seattle Genetics/Astellas, Clovis Oncology, AVEO, Myovant Sciences, AstraZenecaResearch Funding: US Oncology, Endocyte, Merck, Suzhou Kintor PharmaceuticalsExpert Testimony: NovartisTravel, Accommodations, Expenses: Genentech/Roche, US Oncology, Pfizer, Bayer/Onyx, Exelixis, AstraZeneca/MedImmune, Sanofi/Aventis Luke J. PepponeConsulting or Advisory Role: Charlotte's Web Supriya G. MohileConsulting or Advisory Role: Seattle GeneticsResearch Funding: CareviveNo other potential conflicts of interest were reported.

Background: Aging-related deficits that eventually manifest as frailty may be associated with poor emotional health in older patients with advanced cancer. This study aimed to examine the relationship between frailty and emotional health in this population., Methods: This was a secondary analysis of baseline data from a nationwide cluster randomized trial. Patients were aged ≥70 years with incurable stage III/IV solid tumors or lymphomas, had ≥1 geriatric assessment (GA) domain impairment, and had completed the Geriatric Depression Scale, Generalized Anxiety Disorder-7, and Distress Thermometer. Frailty was assessed using a Deficit Accumulation Index (DAI; range 0-1) based on GA, which did not include emotional health variables (depression and anxiety), and participants were stratified into robust, prefrail, and frail categories. Multivariate logistic regression models examined the association of frailty with emotional health outcomes. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were reported., Results: Five hundred forty-one patients were included (mean age: 77 years; 70-96). DAI ranged from 0.04 to 0.94; 27% of patients were classified as robust, 42% prefrail, and 31% frail. Compared with robust patients, frail patients had an increased risk of screening positive for depression (aOR = 12.8; 95% CI = 6.1-27.0), anxiety (aOR = 6.6; 95% CI = 2.2-19.7), and emotional distress (aOR = 4.62; 95% CI = 2.9-8.3). Prefrail compared with robust patients also had an increased risk of screening positive for depression (aOR = 2.22; 95% CI = 1.0-4.8) and distress (aOR = 1.71; 95% CI = 1.0-2.8)., Conclusion: In older patients with advanced cancer, frailty is associated with poorer emotional health, which indicates a need for an integrated care approach to treating these patients., Implications for Practice: A relationship exists between frailty and poor emotional health in older adults with advanced cancer. Identifying areas of frailty can prompt screening for emotional health and guide delivery of appropriate interventions. Alternatively, attention to emotional health may also improve frailty., (© 2021 AlphaMed Press.)

Background: Older adults with advanced cancer are at a high risk for treatment toxic effects. Geriatric assessment evaluates ageing-related domains and guides management. We examined whether a geriatric assessment intervention can reduce serious toxic effects in older patients with advanced cancer who are receiving high risk treatment (eg, chemotherapy)., Methods: In this cluster-randomised trial, we enrolled patients aged 70 years and older with incurable solid tumours or lymphoma and at least one impaired geriatric assessment domain who were starting a new treatment regimen. 40 community oncology practice clusters across the USA were randomly assigned (1:1) to the intervention (oncologists received a tailored geriatric assessment summary and management recommendations) or usual care (no geriatric assessment summary or management recommendations were provided to oncologists) by means of a computer-generated randomisation table. The primary outcome was the proportion of patients who had any grade 3-5 toxic effect (based on National Cancer Institute Common Terminology Criteria for Adverse Events version 4) over 3 months. Practice staff prospectively captured toxic effects. Masked oncology clinicians reviewed medical records to verify. The study was registered with ClinicalTrials.gov, NCT02054741., Findings: Between July 29, 2014, and March 13, 2019, we enrolled 718 patients. Patients had a mean age of 77·2 years (SD 5·4) and 311 (43%) of 718 participants were female. The mean number of geriatric assessment domain impairments was 4·5 (SD 1·6) and was not significantly different between the study groups. More patients in intervention group compared with the usual care group were Black versus other races (40 [11%] of 349 patients vs 12 [3%] of 369 patients; p<0·0001) and had previous chemotherapy (104 [30%] of 349 patients vs 81 [22%] of 369 patients; p=0·016). A lower proportion of patients in the intervention group had grade 3-5 toxic effects (177 [51%] of 349 patients) compared with the usual care group (263 [71%] of 369 patients; relative risk [RR] 0·74 (95% CI 0·64-0·86; p=0·0001). Patients in the intervention group had fewer falls over 3 months (35 [12%] of 298 patients vs 68 [21%] of 329 patients; adjusted RR 0·58, 95% CI 0·40-0·84; p=0·0035) and had more medications discontinued (mean adjusted difference 0·14, 95% CI 0·03-0·25; p=0·015)., Interpretation: A geriatric assessment intervention for older patients with advanced cancer reduced serious toxic effects from cancer treatment. Geriatric assessment with management should be integrated into the clinical care of older patients with advanced cancer and ageing-related conditions., Funding: National Cancer Institute., Competing Interests: Declaration of interests KPL reports consultant fees from Pfizer and Seattle Genetics and honoraria from Pfizer. RFD received honoraria for consulting from Exelixis. TW reports research funding from Janssen and consultant fees from Seattle Genetics and Carevive. All other authors declare no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Introduction: Treatment toxicities are common in older adults with cancer and consequently, treatment modifications are sometimes considered. We evaluated the prevalence and factors associated with treatment modifications at the first cycle in older patients receiving palliative systemic treatment., Methods: Patients (n = 369) from the GAP 70+ Trial (NCT02054741; PI: Mohile) usual care arm were included. Enrolled patients were aged 70+ with advanced cancer and ≥ 1 Geriatric Assessment (GA) domain impairment. Treatment modification was defined as any change from National Comprehensive Cancer Network guidelines or published clinical trials. Baseline variables included: 1) sociodemographic factors; 2) clinical variables; 3) GA domains; and 4) physician beliefs about life expectancy. Bivariate analyses and multivariable cluster-weighted generalized estimating equation model were conducted to assess the association of baseline variables with cycle 1 treatment modifications., Results: Mean age was 77.2 years (range: 70-94); 62% had lung or gastrointestinal cancers, and 35% had treatment modifications at cycle 1. Increasing age by one year (odds ratio (OR) 1.1, 95% confidence interval [CI] 1.0-1.2), receipt of ≥second line of chemotherapy (OR 1.8, CI 1.1-3.0), functional impairment (OR 1.6, CI 1.1-2.3) and income ≤$50,000 (OR 1.7, CI 1.1-2.4) were independently associated with a higher likelihood of cycle 1 treatment modification., Conclusion: Treatment modifications occurred in 35% of older adults with advanced cancer at cycle 1. Increasing age, receipt of ≥second line of chemotherapy, functional impairment, and lower income were independently associated with treatment modifications. These findings emphasize the need for evidence-based regimens in older adults with cancer and GA impairments., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: Rural-urban disparities in the experiences of caregivers of older adults with advanced cancer may exist. This study examined factors associated with caregiver mastery and burden and explored whether rural-urban disparities in caregiver outcomes differed by education., Materials and Methods: Longitudinal data (baseline, 4-6 weeks, and 3 months) on caregivers of older adults (≥ 70) with advanced cancer were obtained from a multicenter geriatric assessment (GA) trial (ClinicalTrials.gov: NCT02107443). Rurality was determined based on 2010 Rural-Urban Commuting Area codes. Caregivers' education was categorized as ≥ some college vs ≤ high school. Caregiver outcomes included Ryff Environmental Mastery (scored 7-35) and Caregiver Reaction Assessment (including self-esteem, disrupted schedules, financial problems, lack of social support, and health problems; each scored 1-5). Separate linear mixed models with interaction term of education and rurality were performed., Results: Of 414 caregivers, 64 (15.5%) were from rural areas and 263 (63.5%) completed ≥ some college. Rurality was significantly associated with more disrupted schedules (β = 0.21), financial problems (β = 0.17), and lack of social support (β = 0.11). A significant interaction between education and rurality was found, with rurality associated with lower mastery (β = -1.27) and more disrupted schedule (β = 0.25), financial problems (β = 0.33), and lack of social support (β = 0.32) among caregivers with education ≤ high school., Conclusion: Our study identifies subgroups of caregivers who are vulnerable to caregiving burden, specifically those from rural areas and with lower education. Multifaceted interventions are needed to improve caregivers' competency and reduce caregiving burden., Competing Interests: Declaration of Competing Interest Dr. Kah Poh Loh serves as a consultant to Pfizer and Seattle Genetics. Dr. Allison Magnuson reports an honorarium for an educational lecture provided at the American Society of Radiation Oncology 2020 Annual meeting. All other authors have no relevant conflicts of interest to report., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Competing Interests: Luke PepponeConsulting or Advisory Role: Charlotte's Web Supriya G. MohileConsulting or Advisory Role: Seattle GeneticsResearch Funding: CareviveNo other potential conflicts of interest were reported.

Introduction: Older patients with myeloid neoplasms (MN) receiving outpatient chemotherapy are at risk of experiencing treatment-related toxicities such as functional decline. A mobile health (mHealth) exercise intervention may ameliorate these toxicities. This qualitative study aimed to inform the design of a mHealth exercise intervention for this population., Methods: This was a qualitative study of thirteen patients aged ≥60 years receiving hypomethylating agents for MN. EXCAP©® is a home-based walking and progressive resistance exercise program. We combined EXCAP©® with a mobile app; the combination (GO-EXCAP Mobile App) has not been previously tested. A brief verbal description about the intervention was provided to the participants but they did not perform it. Participants were interviewed and inductive thematic analysis was used to analyze the data., Results: Mean age was 71.6 (SD 8.5). Three themes were identified: 1) Perceptions of the intervention feasibility, 2) Ways to leverage the app to deliver the exercise intervention, and 3) Personalized exercise goals. Walking and resistance exercises were perceived to be feasible. Patients were comfortable initiating the intervention in cycle 2 of chemotherapy, with exercise increments occurring from week 2-4 of the cycle. Ways to leverage the app to deliver EXCAP©® include 1) Video feature for exercise demonstration and interactions, and 2) Exercise data and symptom surveys to be communicated to the exercise physiologist and primary oncology team. Preservation of existing function and activity was an important goal to participants., Conclusions: Our findings provide insights about the preferences of older adults with MN for a mHealth exercise intervention., Competing Interests: Declaration of Competing Interest Dr. Loh serves as a consultant to Pfizer and Seattle Genetics. Dr. Mohile received research funding from Carevive for other projects. All other authors have no relevant conflicts of interest to report., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Competing Interests: Supriya G. MohileConsulting or Advisory Role: Seattle GeneticsResearch Funding: CareviveNo other potential conflicts of interest were reported.