ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by providers and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases, or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and 2 (online only) for more. PURPOSE: To provide evidence-based guidance to oncology clinicians, patients, nonprofessional caregivers, and palliative care clinicians to update the 2016 ASCO guideline on the integration of palliative care into standard oncology for all patients diagnosed with cancer. METHODS: ASCO convened an Expert Panel of medical, radiation, hematology-oncology, oncology nursing, palliative care, social work, ethics, advocacy, and psycho-oncology experts. The Panel conducted a literature search, including systematic reviews, meta-analyses, and randomized controlled trials published from 2015-2023. Outcomes of interest included quality of life (QOL), patient satisfaction, physical and psychological symptoms, survival, and caregiver burden. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS: The literature search identified 52 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS: Evidence-based recommendations address the integration of palliative care in oncology. Oncology clinicians should refer patients with advanced solid tumors and hematologic malignancies to specialized interdisciplinary palliative care teams that provide outpatient and inpatient care beginning early in the course of the disease, alongside active treatment of their cancer. For patients with cancer with unaddressed physical, psychosocial, or spiritual distress, cancer care programs should provide dedicated specialist palliative care services complementing existing or emerging supportive care interventions. Oncology clinicians from across the interdisciplinary cancer care team may refer the caregivers (eg, family, chosen family, and friends) of patients with cancer to palliative care teams for additional support. The Expert Panel suggests early palliative care involvement, especially for patients with uncontrolled symptoms and QOL concerns. Clinicians caring for patients with solid tumors on phase I cancer trials may also refer them to specialist palliative care. Additional information is available at www.asco.org/supportive-care-guidelines .

BACKGROUND: Patients with incurable cancer face many physical and emotional stressors, yet little is known about their coping strategies or the relationship between their coping strategies, quality of life (QOL), and mood.METHODS: As part of a randomized trial of palliative care, this study assessed baseline QOL (Functional Assessment of Cancer Therapy–General), mood (Hospital Anxiety and Depression Scale), and coping (Brief COPE) in patients within 8 weeks of a diagnosis of incurable lung or gastrointestinal cancer and before randomization. To examine associations between coping strategies, QOL, and mood, we used linear regression, adjusting for patients' age, sex, marital status, and cancer type.RESULTS: There were 350 participants (mean age, 64.9 years), and the majority were male (54.0%), were married (70.0%), and had lung cancer (54.6%). Most reported high utilization of emotional support coping (77.0%), whereas fewer reported high utilization of acceptance (44.8%), self‐blame (37.9%), and denial (28.2%). Emotional support (QOL: β = 2.65, P < .01; depression: β = –0.56, P = .02) and acceptance (QOL: β = 1.55, P < .01; depression: β = –0.37, P = .01; anxiety: β = –0.34, P = .02) correlated with better QOL and mood. Denial (QOL: β = –1.97, P < .01; depression: β = 0.36, P = .01; anxiety: β = 0.61, P < .01) and self‐blame (QOL: β = –2.31, P < .01; depression: β = 0.58, P < .01; anxiety: β = 0.66, P < .01) correlated with worse QOL and mood.CONCLUSIONS: Patients with newly diagnosed, incurable cancer use a variety of coping strategies. The use of emotional support and acceptance coping strategies correlated with better QOL and mood, whereas the use of denial and self‐blame negatively correlated with these outcomes. Interventions to improve patients' QOL and mood should seek to cultivate the use of adaptive coping strategies. Cancer 2016;122:2110–6. © 2016 American Cancer Society.

Background: Patients with advanced cancer often experience muscle wasting (sarcopenia), yet little is known about the characteristics associated with sarcopenia and the relationship between sarcopenia and patients’ quality of life (QOL) and mood. Materials and Methods: As part of a randomized trial, we assessed baseline QOL (Functional Assessment of Cancer Therapy-General [FACT-G]) and mood (Hospital Anxiety and Depression Scale [HADS]) in patients within 8 weeks of diagnosis of incurable lung or gastrointestinal cancer, and prior to randomization. Using computed tomography scans collected as part of routine clinical care, we assessed sarcopenia at the level of the third lumbar vertebra with validated sex-specific cutoffs. We used logistic regression to explore characteristics associated with presence of sarcopenia. To examine associations between sarcopenia, QOL and mood, we used linear regression, adjusted for patients’ age, sex, marital status, education, and cancer type. Results: Of 237 participants (mean age = 64.41 ± 10.93 years), the majority were male (54.0%) and married (70.5%) and had lung cancer (56.5%). Over half had sarcopenia (55.3%). Older age (odds ratio [OR] = 1.05, p = .002) and education beyond high school (OR = 1.95, p = .047) were associated with greater likelihood of having sarcopenia, while female sex (OR = 0.25, p < .001) and higher body mass index (OR = 0.79, p < .001) correlated with lower likelihood of sarcopenia. Sarcopenia was associated with worse QOL (FACT-G: B = −4.26, p = .048) and greater depression symptoms (HADS-depression: B = −1.56, p = .005). Conclusion: Sarcopenia was highly prevalent among patients with newly diagnosed, incurable cancer. The associations of sarcopenia with worse QOL and depression symptoms highlight the need to address the issue of sarcopenia early in the course of illness. Implications for Practice: This study found that sarcopenia, assessed using computed tomography scans acquired as part of routine clinical care, is highly prevalent in patients with newly diagnosed, incurable cancer. Notably, patients with sarcopenia reported worse quality of life and greater depression symptoms than those without sarcopenia. These findings highlight the importance of addressing muscle loss early in the course of illness among patients with incurable cancer. In the future, investigators should expand upon these findings to develop strategies for assessing and treating sarcopenia while striving to enhance the quality of life and mood outcomes of patients with advanced cancer.

Purpose: Patients’ understanding of their illness is key for making informed treatment decisions, yet studies suggest an association between prognostic awareness and worse quality of life (QOL) and mood among patients with advanced cancer. We sought to explore the relationships among prognostic awareness, coping, QOL, and mood in patients with newly diagnosed, incurable cancer. Methods: We assessed patients’ self-reported health status and treatment goal (Prognosis and Treatment Perceptions Questionnaire), coping (Brief COPE), QOL (Functional Assessment of Cancer Therapy-General), and mood (Hospital Anxiety and Depression Scale) within 8 weeks of incurable lung or GI cancer diagnosis. We used linear regression to examine associations and interaction effects among patients’ health status and treatment goal, coping strategies, QOL, and mood. Results: Patients who reported a terminally ill health status had worse QOL (unstandardized coefficient [B] = −6.88; P < .001), depression (B = 1.60; P < .001), and anxiety (B = 1.17; P = .007). Patients who reported their oncologist’s treatment goal was “to cure my cancer” had better QOL (B = 4.33; P = .03) and less anxiety (B = −1.39; P = .007). We observed interaction effects between self-reported health status and treatment goal and certain coping strategies. Specifically, subgroup analyses showed that greater use of positive reframing was related to better QOL (B = 2.61; P < .001) and less depression (B = −0.78; P < .001) among patients who reported a terminally ill health status. Active coping was associated with better QOL (B = 3.50; P < .001) and less depression (B = −1.01; P < .001) among patients who acknowledged their oncologist’s treatment goal was not “to cure my cancer.” Conclusion: Prognostic awareness is related to worse QOL and mood in patients with newly diagnosed, incurable cancer; however, the use of certain coping strategies may buffer these relationships. Interventions to improve patients’ prognostic awareness should seek to cultivate more adaptive coping strategies in order to enhance QOL and mood.

BACKGROUND: Patients with advanced cancer often experience frequent and prolonged hospitalizations; however, the factors associated with greater health care utilization have not been described. We sought to investigate the relation between patients' physical and psychological symptom burden and health care utilization.METHODS: We enrolled patients with advanced cancer and unplanned hospitalizations from September 2014‐May 2016. Upon admission, we assessed physical (Edmonton Symptom Assessment System [ESAS]) and psychological symptoms (Patient Health Questionnaire 4 [PHQ‐4]). We examined the relationship between symptom burden and healthcare utilization using linear regression for hospital length of stay (LOS) and Cox regression for time to first unplanned readmission within 90 days. We adjusted all models for age, sex, marital status, comorbidity, education, time since advanced cancer diagnosis, and cancer type.RESULTS: We enrolled 1,036 of 1,152 (89.9%) consecutive patients approached. Over one‐half reported moderate/severe fatigue, poor well being, drowsiness, pain, and lack of appetite. PHQ‐4 scores indicated that 28.8% and 28.0% of patients had depression and anxiety symptoms, respectively. The mean hospital LOS was 6.3 days, and the 90‐day readmission rate was 43.1%. Physical symptoms (ESAS: unstandardized coefficient [B], 0.06; P < .001), psychological distress (PHQ‐4 total: B, 0.11; P = .040), and depression symptoms (PHQ‐4 depression: B, 0.22; P = .017) were associated with longer hospital LOS. Physical (ESAS: hazard ratio, 1.01; P < .001), and anxiety symptoms (PHQ‐4 anxiety: hazard ratio, 1.06; P = .045) were associated with a higher likelihood for readmission.CONCLUSIONS: Hospitalized patients with advanced cancer experience a high symptom burden, which is significantly associated with prolonged hospitalizations and readmissions. Interventions are needed to address the symptom burden of this population to improve health care delivery and utilization. Cancer 2017;123:4720‐4727. © 2017 American Cancer Society.

Age, sex, and racial/ethnic disparities exist, but are understudied in pancreatic adenocarcinoma (PDAC). We used the Surveillance, Epidemiology, and End Results (SEER)–Medicare linked database to determine whether survival and treatment disparities persist after adjusting for demographic and clinical characteristics. Our study included PDAC patients diagnosed between 1992 and 2011. We used Cox regression to compare survival across age, sex, and race/ethnicity within early‐stage and late‐stage cancer subgroups, adjusting for marital status, urban location, socioeconomics, SEER region, comorbidities, stage, lymph node status, tumor location, tumor grade, diagnosis year, and treatment received. We used logistic regression to compare differences in treatment received across age, sex, and race/ethnicity. Among 20,896 patients, 84% were White, 9% Black, 5% Asian, and 2% Hispanic. Median age was 75; 56% were female and 53% had late‐stage cancer. Among early‐stage patients in the adjusted Cox model, older patient subgroups had worse survival compared with ages 66–69 (HR > 1.1, P < 0.01 for groups >69); no survival differences existed between sexes. Black (HR = 1.1, P = 0.01) and Hispanic (HR = 1.2, P < 0.01) patients had worse survival compared with White. Among late‐stage cancer patients, patients over age 84 had worse survival than those aged 66–69 (HR = 1.1, P < 0.01), and males (HR = 1.08, P < 0.01) had worse survival than females; there were no racial/ethnic differences. Older age and minority race/ethnicity were associated with lower likelihood of receiving chemotherapy, radiation, and/or surgery. Age and racial/ethnic disparities in survival outcomes and treatment received exist for PDAC patients; these disparities persist after adjusting for differences in demographic and clinical characteristics.