These studies overall confirm the reliability of some commercially available EAM systems. Accurate measurement of patient fitness for treatment would help oncologists select the most appropriate treatment options for patients that would in turn reduce toxicity and improve patient outcomes.

New consumer-based activity monitors designed for use by individuals with an interest in health, fitness, and weight control are now commercially available. This study prospectively monitored 500 patients, aged ≥65 years, with stage I to IV cancer of various types through their chemotherapy course for treatment toxicity.

Oncologists and nurses were more likely to record healthier PS levels than patients themselves [17].

The CARG score was developed and published in 2011 by the Cancer and Aging Research Group. The continuous data may provide insight into real fluctuation in the activity level of cancer patients during the course of treatment and its relationship with chemotherapy toxicity and/or healthcare utilization.

1984 Mar;2(3):187-93. ECOG Grade. Another study evaluated the feasibility of integrating a FitBit tracker and website into a physical activity intervention in 51 inactive postmenopausal women in the setting of a randomized controlled trial. However, the majority of studies evaluating the reliability and validity of these systems were conducted on healthy volunteers. Disease may be progressing rapidly. However, the use of these tools and the significance of their findings in a general oncology population are unknown.

The 6-minute walk test (6MWT) has been shown in a wide range of clinical settings to be a robust predictor of mortality [53, 54]. * Key elements of the ECOG scale first appeared in the medical literatu… Decreases in quality of life among stage IV lung cancer patients as assessed by the functional living index-cancer scale correlated with both a decline in PS and poor PS [12].

In fact the survival rate at one year for a patient with an ECOG PS of 0 was twice that of an individual with an ECOG PS of 2 (40 versus 19%, ) [10]. In this study, we compare their predictive validity, and suggest a table of transformation between scales. Very sick, active supportive treatment necessary. CGA has been found to impact cancer treatment decision-making in up to 50% of cases [48]. Improvement in accelerometer technology has resulted in increased feasibility and compliance with accelerometer use as demonstrated by research studies such as the national health and nutrition examination survey (NHANES) [61]. Progress in cancer research is coupled with increased treatment complexity reliant upon accurate patient selection. Clinical trials are required to determine if EAM measured physical activity represents an accurate and objective assessment of functional performance that provides predictive and prognostic information incremental to that already provided by the standard measurement instruments of PS. Although standard measurement instruments of PS are simple and useful, they are subject to bias and limitations. Due to their subjective nature, both ECOG PS and KPS scales have been criticized for poor sensitivity at the lower end of each scale. Much of the literature available on EAM systems focuses on their efficacy and feasibility as a modality within a physical activity intervention for adults.

Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, Carbone PP. Research focusing on patient-related, biopsychosocial factors and their influence on cancer outcomes has been limited, however. Clinical studies incorporating EAM systems in cancer populations. No complaints.

It may be used for both inpatients & outpatients, and for patients undergoing active treatment as well as long-term follow-up. In general, physicians incorporate the findings of the patient history and physical examination to create a picture of a patient’s health and functional status. We are committed to sharing findings related to COVID-19 as quickly as possible.

Effect seen in all interventional arms. These schemas incorporate geriatric and oncologic correlates of vulnerability to chemotherapy toxicity and help oncologists determine older patient’s suitability for chemotherapy by calculating their risk of chemotherapy toxicity.

The literature reports conflicting data with respect to the reliability of PS measurements with variable levels of interobserver agreement [13, 14]. Disabled. Unable to care for self. In the Selected Targeted Efficacy in Lung Cancer to Lower Adverse Reactions 3 (STELLAR 3) trial comparing carboplatin with conventional paclitaxel versus paclitaxel poliglumex in patients with PS 2, patients enrolled from the United States, Western Europe, or Canada demonstrated a median OS of 6.5 months, while those enrolled from Eastern Europe had a median OS of approximately 9 months [19]. ECOG Status. A predictive model for grade 3 to 5 toxicity identified 11 risk factors including age, tumor type, treatment, laboratory values, and geriatric assessment variables. Unable to carry on normal activity or to do active work. This technology development was driven by a number of factors including (i) increased availability of low-cost accelerometer technology in the marketplace, (ii) refinement of other technologies (e.g., Bluetooth), and (iii) the increased sophistication of personalized social media applications [62].

The two most commonly used measurement instruments include (i) the Eastern Cooperative Oncology Group Performance Status (ECOG PS) and (ii) Karnofsky Performance Status (KPS) scales. In all of these contexts, EAM has the potential to provide an objective assessment of patients’ functional activity that may be more accurate than clinician-rated performance status of patients and even patient-reported data. J Clin Oncol. Black, and D. L. Rofey, “Mood and ambulatory monitoring of physical activity patterns in youth with polycystic ovary syndrome,”, S. Langenberg, M. Schulze, M. Bartsch et al., “Physical activity is unrelated to cognitive performance in pre-bariatric surgery patients,”, A. Kawagoshi, N. Kiyokawa, K. Sugawara et al., “Quantitative assessment of walking time and postural change in patients with COPD using a new triaxial accelerometer system,”, E. V. Carvalho, M. M. Reboredo, E. P. Gomes et al., “Physical activity in daily life assessed by an accelerometer in kidney transplant recipients and hemodialysis patients,”, J. Wielopolski, K. Reich, M. Clepce et al., “Physical activity and energy expenditure during depressive episodes of major depression,”, C. F. Fitzsimons, A. Kirk, G. Baker, F. Michie, C. Kane, and N. Mutrie, “Using an individualised consultation and activPAL feedback to reduce sedentary time in older Scottish adults: results of a feasibility and pilot study,”, R. Hurling, M. Catt, M. De Boni et al., “Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial,”, C. A. Pellegrini, S. D. Verba, A. D. Otto, D. L. Helsel, K. K. Davis, and J. M. Jakicic, “The comparison of a technology-based system and an in-person behavioral weight loss intervention,”, K. M. Polzien, J. M. Jakicic, D. F. Tate, and A. D. Otto, “The efficacy of a technology-based system in a short-term behavioral weight loss intervention,”, S. L. Shuger, V. W. Barry, X. Sui et al., “Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial,”, W. G. Thompson, C. L. Kuhle, G. A. Koepp, S. K. McCrady-Spitzer, and J. Karnofsky Index Beschreibung Entspricht ungefähr 100 % Keine Beschwerden, keine Zeichen der Krankheit ECOG Normal, no complaints. However, despite the suggestion in its name, this model too often takes the individual out of the equation.

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