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Mohamed M, Ahmed M, Williams AM, Gilmore N, Lin PJ, Yilmaz S, Jensen-Battaglia M, Mustian K, Janelsins M, Mohile S. A scoping review evaluating physical and cognitive functional outcomes in cancer survivors treated with chemotherapy: charting progress since the 2018 NCI think tank on cancer and aging phenotypes. J Cancer Surviv 2024:10.1007/s11764-024-01589-0. [PMID: 38743185 DOI: 10.1007/s11764-024-01589-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/04/2024] [Indexed: 05/16/2024]
Abstract
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.
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Affiliation(s)
- Mostafa Mohamed
- Department of Medicine, University of Rochester, Rochester, NY, USA
| | - Mustafa Ahmed
- Department of Medicine, University of Rochester, Rochester, NY, USA
| | | | - Nikesha Gilmore
- Department of Surgery, University of Rochester, Rochester, NY, USA
| | - Po-Ju Lin
- Department of Surgery, University of Rochester, Rochester, NY, USA
| | - Sule Yilmaz
- Department of Surgery, University of Rochester, Rochester, NY, USA
| | | | - Karen Mustian
- Department of Surgery, University of Rochester, Rochester, NY, USA
| | | | - Supriya Mohile
- Department of Medicine, University of Rochester, Rochester, NY, USA.
- Wilmot Cancer Institute, 601 Elmwood Avenue, Box 702, Rochester, NY, 14642, USA.
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Rosa WE, Levoy K, Doyon K, McDarby M, Ferrell BR, Parker PA, Sanders JJ, Epstein AS, Sullivan DR, Rosenberg AR. Integrating evidence-based communication principles into routine cancer care. Support Care Cancer 2023; 31:566. [PMID: 37682354 PMCID: PMC10805358 DOI: 10.1007/s00520-023-08020-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/25/2023] [Indexed: 09/09/2023]
Abstract
PURPOSE The global incidence of cancer and available cancer-directed therapy options is increasing rapidly, presenting patients and clinicians with more complex treatment decisions than ever before. Despite the dissemination of evidence-based communication training tools and programs, clinicians cite barriers to employing effective communication in cancer care (e.g., discomfort of sharing serious news, concern about resource constraints to meet stated needs). We present two composite cases with significant communication challenges to guide clinicians through an application of evidence-based approaches to achieve quality communication. METHODS Composite cases, communication skills blueprint, and visual conceptualization. RESULTS High-stakes circumstances in each case are described, including end-of-life planning, advanced pediatric illness, strong emotions, and health inequities. Three overarching communication approaches are discussed: (1) content selection and delivery; (2) rapport development; and (3) empathic connection. The key takeaways following each case provide succinct summaries of challenges encountered and approaches used. A communication blueprint from the Memorial Sloan Kettering Cancer Center Communication Skills Training Program and Research Laboratory has been adapted and is comprised of strategies, skills, process tasks, and sample talking points. A visually concise tool - the Communication Blueprint Traffic Circle - illustrates these concepts and demonstrates the iterative, holistic, and agile considerations inherent to effective communication. CONCLUSION Evidence-based communication is foundational to person-centeredness, associated with improved clinician and patient/caregiver outcomes, and can be integrated throughout routine oncology care. When used by clinicians, evidence-based communication can improve patient and caregiver experiences and assist in ensuring goal-concordant cancer care delivery.
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Affiliation(s)
- William E Rosa
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Kristin Levoy
- School of Nursing, Indiana University, Indianapolis, IN, USA
- Indiana University Center for Aging Research (IUCAR), Regenstrief Institute, Indianapolis, IN, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | | | - Meghan McDarby
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Patricia A Parker
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Justin J Sanders
- Department of Family Medicine, McGill University, Montreal, QC, Canada
| | - Andrew S Epstein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Donald R Sullivan
- Division of Pulmonary, Allergy, and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
- Center to Improve Veteran Involvement in Care (CIVIC), Portland-Veterans Affairs Medical Center, Portland, OR, USA
| | - Abby R Rosenberg
- Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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Cespedes Feliciano EM, Vasan S, Luo J, Binder AM, Chlebowski RT, Quesenberry C, Banack HR, Caan BJ, Paskett ED, Williams GR, Barac A, LaCroix AZ, Peters U, Reding KW, Pan K, Shadyab AH, Qi L, Anderson GL. Long-term Trajectories of Physical Function Decline in Women With and Without Cancer. JAMA Oncol 2023; 9:395-403. [PMID: 36656572 PMCID: PMC9857739 DOI: 10.1001/jamaoncol.2022.6881] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/05/2022] [Indexed: 01/20/2023]
Abstract
Importance Patients with cancer experience acute declines in physical function, hypothesized to reflect accelerated aging driven by cancer-related symptoms and effects of cancer therapies. No study has examined long-term trajectories of physical function by cancer site, stage, or treatment compared with cancer-free controls. Objective Examine trajectories of physical function a decade before and after cancer diagnosis among older survivors and cancer-free controls. Design, Setting, and Participants This prospective cohort study enrolled patients from 1993 to 1998 and followed up until December 2020. The Women's Health Initiative, a diverse cohort of postmenopausal women, included 9203 incident cancers (5989 breast, 1352 colorectal, 960 endometrial, and 902 lung) matched to up to 5 controls (n = 45 358) on age/year of enrollment and study arm. Exposures Cancer diagnosis (site, stage, and treatment) via Medicare and medical records. Main Outcomes and Measures Trajectories of self-reported physical function (RAND Short Form 36 [RAND-36] scale; range: 0-100, higher scores indicate superior physical function) estimated from linear mixed effects models with slope changes at diagnosis and 1-year after diagnosis. Results This study included 9203 women with cancer and 45 358 matched controls. For the women with cancer, the mean (SD) age at diagnosis was 73.0 (7.6) years. Prediagnosis, physical function declines of survivors with local cancers were similar to controls; after diagnosis, survivors experienced accelerated declines relative to controls, whose scores declined 1 to 2 points per year. Short-term declines in the year following diagnosis were most severe in women with regional disease (eg, -5.3 [95% CI, -6.4 to -4.3] points per year in regional vs -2.8 [95% CI, -3.4 to -2.3] for local breast cancer) or who received systemic therapy (eg, for local endometrial cancer, -7.9 [95% CI, -12.2 to -3.6] points per year with any chemotherapy; -3.1 [95% CI, -6.0 to -0.3] with radiation therapy alone; and -2.6 [95% CI, -4.2 to -1.0] with neither, respectively). While rates of physical function decline slowed in the later postdiagnosis period (eg, women with regional colorectal cancer declined -4.3 [95% CI, -5.9 to -2.6] points per year in the year following diagnosis vs -1.4 [95% CI, -1.7 to -1.0] points per year in the decade thereafter), survivors had estimated physical function significantly below that of age-matched controls 5 years after diagnosis. Conclusions and Relevance In this prospective cohort study, survivors of cancer experienced accelerated declines in physical function after diagnosis, and physical function remained below that of age-matched controls even years later. Patients with cancer may benefit from supportive interventions to preserve physical functioning.
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Affiliation(s)
| | - Sowmya Vasan
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, University of Indiana at Bloomington, Bloomington
| | - Alexandra M. Binder
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu
- Department of Epidemiology, University of California, Los Angeles
| | | | | | - Hailey R. Banack
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, New York
- Epidemiology Division, University of Toronto Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Bette J. Caan
- Kaiser Permanente Northern California Division of Research, Oakland
| | - Electra D. Paskett
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, Columbus
| | - Grant R. Williams
- Institute for Cancer Outcomes and Survivorship, School of Medicine, The University of Alabama at Birmingham, Birmingham
| | - Ana Barac
- Cardio-Oncology Program, MedStar Heart and Vascular Institute, Georgetown University School of Medicine, Washington, DC
| | - Andrea Z. LaCroix
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Kerryn W. Reding
- Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle
| | - Kathy Pan
- Medical Oncology, The Lundquist Institute, Torrance, California
| | - Aladdin H. Shadyab
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla
| | - Lihong Qi
- Public Health Sciences, School of Medicine, University of California at Davis, Davis
| | - Garnet L. Anderson
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
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Xing Y, Zhao W, Duan C, Zheng J, Zhao X, Yang J, Sun N, Chen J. Developing a visual model for predicting depression in patients with lung cancer. J Clin Nurs 2022. [PMID: 35949178 DOI: 10.1111/jocn.16487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/14/2022] [Accepted: 07/25/2022] [Indexed: 12/19/2022]
Abstract
AIMS AND OBJECTIVES To investigate and analyse the prevalence of depression among patients with lung cancer, identify risk factors of depression, and develop a visual, non-invasive, and straightforward clinical prediction model that can be used to predict the risk probability of depression in patients with lung cancer quantitatively. BACKGROUND Depression is one of the common concomitant symptoms of patients with lung cancer, which can increase the risk of suicide. However, the current assessment tools cannot combine multiple risk factors to predict the risk probability of depression in patients. DESIGN A cross-sectional study. METHODS The clinical data from 297 patients with lung cancer in China were collected and analysed in this cross-sectional study. The clinical prediction model was constructed according to the results of the Chi-square test and the logistic regression analysis, evaluated by discrimination, calibration, and decision curve analysis, and visualised by a nomogram. This study was reported using the TRIPOD checklist. RESULTS 130 patients with lung cancer had depressive symptoms with a prevalence of 43.77%. A visual prediction model was constructed based on age, disease duration, exercise, stigma, and resilience. This model showed good discrimination at an AUC of 0.842. Calibration curve analysis indicated a good agreement between experimental and predicted values, and the decision curve analysis showed a high clinical utility. CONCLUSIONS The visual prediction model developed in this study has excellent performance, which can accurately predict the occurrence of depression in patients with lung cancer at an early stage and assist the medical staff in taking targeted preventative measures. RELEVANCE TO CLINICAL PRACTICE The visual, non-invasive, and simple nomogram can help clinical medical staff to calculate the risk probability of depression among patients with lung cancer, formulate personalised preventive care measures for high-risk groups as soon as possible, and improve the quality of life of patients.
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Affiliation(s)
- Yanqing Xing
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenxiao Zhao
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chenchen Duan
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jun Zheng
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xuelian Zhao
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jingyu Yang
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Na Sun
- School of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jie Chen
- Department of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA
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Presley CJ, Arrato NA, Shields PG, Carbone DP, Wong ML, Benedict J, Reisinger SA, Han L, Gill TM, Allore H, Andersen BL, Janse S. Functional Trajectories and Resilience Among Adults With Advanced Lung Cancer. JTO Clin Res Rep 2022; 3:100334. [PMID: 35719868 PMCID: PMC9198463 DOI: 10.1016/j.jtocrr.2022.100334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 04/11/2022] [Accepted: 04/30/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction To evaluate whether and the degree to which patients with advanced NSCLC (aNSCLC) receiving lung cancer treatments will experience functional disability or have resilience and to identify characteristics associated with functional disability. Methods We evaluated longitudinal data of patients with aNSCLC receiving treatment in the Beating Lung Cancer in Ohio prospective cohort study. Disability versus resilience in functional status (usual activities, mobility, and self-care) was measured monthly for 8 months using the EuroQol-5D-5L. Data captured included baseline demographics (Eastern Cooperative Oncology Group performance status), comorbidities, cancer and depressive symptoms (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7 scale), and cancer stress (impact of events). Group-based latent class trajectory modeling was used to determine clinically distinct functional disability trajectories jointly with attrition probability (death or withdrawal) in the study period. Results Among 207 participants, the mean age was 63.5 years (range: 34-92 y), 58.9% were male, 6.8% were African American or Black, 73.3% were former smokers, and 35% resided in rural areas. At baseline, participants had adenocarcinoma histological subtype (74.9%), 40.3% had brain metastases, and 46.1% had bone metastases. Participants received chemotherapy plus immunotherapy (46.9%), immunotherapy single agent (21.7%), targeted treatments (18.8%), or no treatment (12.6%). Three distinct functional trajectory groups were identified, as follows: none/mild (n = 79, 38.2%), moderate (n = 99, 47.8%), and severe disability (n = 29, 14.0%). Characteristics associated with severe disability included baseline Eastern Cooperative Oncology Group performance status greater than 1, worse dyspnea and pain, and higher Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scale scores. At month 8, 95 participants (45.9%) displayed resilience, 11 (5.3%) experienced functional decline, and 69 (33.3%) were deceased. Conclusions We identified three distinct functional trajectories among patients with aNSCLC. Risk stratification tools and targeted interventions designed to target these three groups are needed to improve functional resilience and prevent disability.
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Affiliation(s)
- Carolyn J. Presley
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
- Corresponding author. Address for correspondence: Carolyn J. Presley, MD, MHS, The Ohio State University Comprehensive Cancer Center/The James Cancer Hospital & Solove Research Institute, 13th Floor Lincoln Tower, 1300 Cannon Drive, Columbus, OH 43210.
| | - Nicole A. Arrato
- Department of Psychology, The Ohio State University, Columbus, Ohio
| | - Peter G. Shields
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - David P. Carbone
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Melisa L. Wong
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, California
- Division of Geriatrics, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Jason Benedict
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio
| | - Sarah A. Reisinger
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Ling Han
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio
| | - Thomas M. Gill
- Section of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Heather Allore
- Section of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | | | - Sarah Janse
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio
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