Skip to main content
  • Study protocol
  • Open access
  • Published:

Engaging the older cancer patient; Patient Activation through Counseling, Exercise and Mobilization – Pancreatic, Biliary tract and Lung cancer (PACE-Mobil-PBL) - study protocol of a randomized controlled trial



Several intervention studies have demonstrated that exercise training has beneficial effects among cancer patients. However, older cancer patients are underrepresented in clinical trials, and only few exercise-based studies have focused specifically on older patients with cancer. In particular, research investigating the effects of exercise training among older patients with advanced cancer is lacking. The purpose of the current study is to investigate the effect of a 12-week multimodal and exercise-based intervention among older patients (≥65 years) with advanced pancreatic, biliary tract or lung cancer, who are treated with first-line palliative chemotherapy, immunotherapy or targeted therapy.


PACE-Mobil-PBL is a two-armed randomized controlled trial. Participants will be randomized 1:1 to an intervention group (N = 50) or a control group (N = 50). Participants in the intervention group will receive standard oncological treatment and a 12-week multimodal intervention, comprised of: (I) supervised exercise training, twice weekly in the hospital setting, (II) home-based walking with step counts and goal-setting, (III) supportive and motivational nurse-led counseling, and (IV) protein supplement after each supervised training session. Participants in the control group will receive standard oncological treatment. The primary outcome is physical function measured by the 30-s chair stand test. Secondary outcomes include measures of feasibility, activity level, physical capacity and strength, symptom burden, quality of life, toxicity to treatment, dose reductions, inflammatory biomarkers, body weight and composition, hospitalizations and survival. Assessments will be conducted at baseline, and after 6, 12 and 16 weeks.


The current study is one of the first to investigate the effect of an exercise-based intervention specifically targeting older patients with advanced cancer. PACE-Mobil-PBL supports the development of health promoting guidelines for older patients with cancer, and the study results will provide new and valuable knowledge in this understudied field.

Trial registration

The study was prospectively registered at on January 26, 2018 (ID: NCT03411200).

Peer Review reports


Advanced age is the leading risk factor for development of cancer overall, and approximately 60% of all cancers in Europe and in the USA are diagnosed among patients aged 65 years or older [1, 2]. Although the risk of cancer increases with age, and the number of older patients with cancer is expected to rise in the coming years [3, 4], research on older patients with cancer is limited [1, 4]. Aging involves a continuum of changes in function, biological, psychological, and social structures that vary depending on individual differences. In a biological view, aging causes changes in the organism that lead to a decline in organ functions and in physiological reserves [5,6,7,8]. Comorbidity, defined as the occurrence of two or more medically diagnosed diseases, increases with age and heightens the risk of disability and mortality [9, 10]. In addition, use of multiple drugs for multiple diseases, also known as polypharmacy, leads to an increased risk of drug interactions, adverse reactions and poor adherence [11].

Cancer and aging

Aging itself is associated with limitations in physical function and reduced reserve capacity. A diagnosis of cancer and its accompanying treatments can lead to numerous symptoms and side effects, physical disability, psychological distress and increased health care needs [12]. The interplay between age-related and cancer-related declines in health increases vulnerability and risk of development of short- and long-term disabilities [13, 14]. Older patients with cancer have a higher incidence of limitations in activities of daily living (ADL), reduced quality of life (QoL), and a higher prevalence of geriatric syndromes such as depression, falls and osteoporosis compared to older adults without a history of cancer [15, 16]. Research suggests that older patients with cancer benefit from chemotherapy similar to younger patients [17, 18]. However, older patients with cancer are at increased risk of toxicity due to age-related physiological changes [19].

Sarcopenia and cachexia

Loss of muscle mass and strength is a part of the normal aging process and is referred to as primary sarcopenia [20]. Sarcopenia has multiple contributing factors including aging itself, insufficient nutrition, sedentary lifestyle or bedrest. The term secondary sarcopenia is often used to describe sarcopenia that is caused by other factors such as cancer or other chronic diseases [20]. Cachexia is another depleting syndrome that causes weight loss and muscle wasting due to an underlying disease [21]. The pathophysiology of cancer cachexia includes a complex combination of reduced energy intake and uptake, hormonal alterations, abnormal metabolism and inflammation [21]. Previous studies have identified cachexia and sarcopenia as contributors to impaired physical functioning [22], reduced tolerance to anti-cancer treatment [23, 24], higher symptom burden [25], reduced QoL [25, 26] and increased mortality [24, 27, 28] among patients with cancer.

Exercise training

Research has shown that exercise training (e.g. aerobic training, resistance training, and balance and flexibility exercises) is safe and beneficial for older people [29,30,31]. Documented effects include increased muscle mass and strength, functional mobility and ADL function, improved QoL, and reduction of falls and depressive symptoms [29,30,31,32]. The effect of exercise training has also been widely investigated in cancer patients [33,34,35]. A myriad of beneficial effects of exercise training have been documented, including reduced severity of cancer and treatment-related symptoms and side effects, as well as improved aerobic capacity, muscle strength, physical functioning and QoL [33,34,35,36]. However, older patients are underrepresented in clinical trials, and only few exercise-based intervention studies have focused specifically on older patients with cancer [37]. Among the few studies that have investigated the effect of exercise training in older patients with cancer, most have focused on older patients with early-stage breast, prostate and colorectal cancer. Especially, research investigating the effect of exercise training in older patients with advanced cancer is lacking [37].

Pancreatic, biliary tract and lung cancer

With median ages around 65 to 70 years at diagnosis, pancreatic cancer (PC), biliary tract cancer (BTC) and lung cancer (LC) are malignancies highly associated with aging. These cancers are most often diagnosed at an advanced stage, and therefore the majority of patients are treated with palliative therapies. Focusing on LC, several previous studies have provided evidence that exercise training is feasible, safe and beneficial for patients with LC before, during and after anti-cancer treatment [38,39,40,41]. Demonstrated effects include reduced surgical complications, reduced levels of symptoms and side effects, and improvements in physical function and capacity [38,39,40,41]. Only one prior exercise-based study has focused specifically on older patients with LC. In this study, Lai et al. [42] investigated the effect of a short-term preoperative pulmonary rehabilitation program in 60 older patients (≥70 years) with non-small cell LC (NSCLC) scheduled to lobectomy, and demonstrated significant improvements in functional capacity and peak expiratory flow, as well as reductions in length of hospital stay and post-operative complications. Exercise training for patients with PC and BTC is a relatively unexplored research field. In a randomized controlled trial, Yeo et al. [43] investigated the effect of a 12-week home-based walking program in 102 patients with resected PC or periampullary cancer. After study completion, patients in the intervention group were walking twice as far as patients in the control group, and had significant reductions in pain and fatigue, as well as improved self-reported physical functioning [43]. In a pilot study from 2014, Jensen et al. [44] investigated the feasibility of exercise training in 26 patients with advanced gastrointestinal cancers undergoing palliative chemotherapy. Patients were randomized to one of two groups; resistance training or aerobic exercise on a bicycle ergometer for 12 weeks. In both groups, a significantly decreased level of fatigue was demonstrated from pre to post-assessment, and sleep quality was also significantly improved. However, only minor improvements were seen in a few domains of QoL measures, and no improvements were demonstrated in nausea/vomiting, constipation, dyspnea or appetite/anorexia [44]. No prior studies have investigated the effect of an exercise program specifically for older patients with PC or BTC.


The aim of the current study is to investigate the effect of a 12-week multimodal and exercise-based intervention in older patients newly diagnosed with advanced PC, BTC or LC who are undergoing first-line palliative chemotherapy, immunotherapy or targeted therapy.


We hypothesize that with a multimodal and exercise-based intervention, participants will maintain physical function. In addition, we believe that participants in the intervention group will have reductions in symptoms and side effects, improved QoL and psychological wellbeing, limited weight loss and muscle wasting, and increased treatment tolerance, compared to participants in the control group.



PACE-Mobil-PBL is a prospective two-armed randomized controlled trial. The study is planned to include 100 patients with advanced PC, BTC or LC, who are treated with first-line palliative chemotherapy, immunotherapy or targeted therapy at the Department of Oncology at Copenhagen University Hospital, Herlev and Gentofte, Denmark. The overall study design is illustrated in Fig. 1. This article describes the design of the study and complies with the SPIRIT guidelines for randomized controlled trial protocols, and with the Consensus on Exercise Reporting Template (CERT) recommendations for reporting exercise programs in clinical trials [45].

Fig. 1
figure 1

PACE-Mobil-PBL study design. Abbreviations: BTC (biliary tract cancer), LC (lung cancer), PC (pancreatic cancer)


Patients are eligible for inclusion if the following criteria are fulfilled: 1) diagnosis with locally advanced or metastatic PC, BTC or NSCLC within 12 weeks; 2) unresectable cancer; 3) treatment with first-line palliative chemotherapy, immunotherapy or targeted therapy; 4) age ≥ 65 years; 5) Eastern Cooperative Oncology Group (ECOG) performance status score ≤ 2; 6) ability to speak and read Danish, and to provide a signed informed consent form (ICF).

Exclusion criteria are: 1) any physical condition that hinders the execution of physical exercise training; 2) small-cell LC; 3) documented and uncontrolled brain metastases that hinder study participation based on the referring oncologist’s assessment; 4) dementia, psychotic disorders or cognitive diseases or conditions that hinder participation in an exercise-based clinical trial; 5) unstable medical disease or a history of serious or concurrent illness (any medical condition that might be aggravated by exercise training or that cannot be controlled). Patients with documented bone metastases will be excluded from participation if they have a bone metastatic burden or location that poses a risk of pathologic fractures in the performance of exercise training, as assessed by the referring oncologist.

After the initial screening procedure, the research team will obtain ICF and collect all relevant baseline data before randomization.

Patient involvement

With the aim of involving patients in the research process, individual semi-structured interviews were conducted in older patients with advanced PC, BTC and LC, before the final intervention program was developed. The aim of these pre-interviews was to gain insight into how patients experience and manage symptoms and side effects, to explore their views on exercise training during oncological treatment, and to get their expert advice on the optimal recruitment procedure, intervention composition, and on relevant outcome measures (unpublished results).


After inclusion and baseline assessments, participants are randomly allocated to the intervention group or the control group using a 1:1 block randomization. The block size will only be known by the statistician carrying out the randomization procedure. Randomization will be stratified on diagnosis by using separate randomization lists for each diagnosis group (PC, BTC and LC). The ‘blockrand’ package of the statistical software R was used to generate all randomization lists. Randomization will be administered via the web-based research platform REDCap (Research Electronic Data Capture). Source codes to generate all randomization lists are stored to ensure full reproducibility.


Participants in the intervention group will receive standard oncological treatment and a 12-week multimodal exercise-based intervention comprised of the four following components:

  1. #1:

    Supervised and group-based exercise training at the hospital setting; two times a week for sessions of approximately 60 min. The program consists of warm-up exercises of light to moderate intensity, including exercises for balance and flexibility, and a program of progressive resistance training (PRT) that comprises seven resistance training exercises targeting the large muscle groups. In the first two weeks, participants will be introduced to the PRT program, starting with high repetition numbers and low loads. During the intervention period, the volume of the PRT will progress from two to three sets, and the load will increase from 15 to 10 repetitions maximum (yielding a heavier load relative to each participant’s maximum). The progression will be tailored to each individual participant. Three experienced physiotherapists (range 6–17 years) will supervise all training sessions. Training sessions will be performed in groups of up to 12 participants at the rehabilitation facilities at Herlev and Gentofte Hospital, where appropriate strength training equipment is available (Technogym Element series, Gambettola, Italy). For detailed description of the supervised exercise program see Table 1.

  2. #2:

    Nutritional supplement after supervised exercise training; to prevent a negative energy balance on training days, a protein supplement (e.g. protein drink or bar, 227–300 cal and 12–20 g protein) will be served for participants after each training session.

  3. #3:

    An individualized activity program with steps counts, goal-setting and evaluation; based on each participant’s starting point, preferences and motivation, an individualized activity program will be conducted with the overall aim of maintaining or increasing the level of daily activity. The level of activity will be measured as steps counts with a Garmin Vivofit 3 activity tracker (Garmin, Olathe, Kansas, U.S.). Goal-setting and evaluation in relation to walked steps will be conducted once weekly, face-to-face or by telephone, in collaboration between each participant and a member of the research team.

  4. #4:

    Motivational and supportive counseling; participants in the intervention group will participate in two sessions of individualized nurse-led counseling. The first session will be held immediately after study entry, and the second will be conducted after 6 weeks. Counseling will be based on a holistic assessment of each participant’s life situation and potential challenges. Each participant will be asked about potential problems in different life domains (physical, functional, psychological/emotional, social, and existential/spiritual). Based on identified needs, participants will be challenged with questions about the characteristics of the problem(s), factors that may influence the problem(s), and their problem management strategy. The purpose of this process is to activate the participants and to promote self-management. Also, advice and counseling on identified problems will be provided, and followed up if needed. If participants present any complex medical problems, they will be encouraged to contact their oncologist or general practitioner, as appropriate. As mandatory components, all participants will be informed about expected bodily reactions to exercise training, and advised about sufficient nutrition during the intervention. If participants need specialized nutritional counseling, they will be referred to a dietician.

Table 1 Description of the supervised exercise program


Participants in the control group will receive standard oncological treatment. No restrictions on physical activity are made for control participants.

Study outcome measures

The primary endpoint is the between-group difference in within-group changes in physical capacity and lower extremity strength measured with the 30-s chair stand test (30s-CST) at the post-intervention assessment. Secondary endpoints include feasibility measures, adverse events, and changes in functional performance, muscle strength, body composition, body weight, patient-reported performance status, symptom burden, symptoms of depression and anxiety, QoL, physical activity, treatment tolerance and toxicity, inflammatory biomarkers, hospital admissions and mortality. The outcome measures for both groups are described in the following section.

Physical tests

To measure physical function and lower extremity strength, the 30s-CST will be used (primary outcome) [46]. The 30s-CST is considered as highly relevant for older patients with cancer, as the ability to rise from a chair is regarded a prerequisite for functional independence. The 30s-CST is a widely used and validated physical measure, especially among older people, and it has also been used and tested among patients with cancer [47,48,49]. Physical performance will also be assessed with a 6 and 10-m gait speed test. Gait speed is a suitable measure to use in a clinical rehabilitation setting, and has a documented predictive value for functional and cognitive decline, falls, independence, and mortality [50, 51]. To measure physical capacity and endurance, the six-minute-walk test (6MWT) will be used [46]. The 6MWT measures the distance an individual is able to walk over a total of six minutes on a hard and flat surface. The test was originally developed for use in frail older patients, but has been used and validated in a variety of different populations [52, 53]. To measure physical function and strength of the upper body, the handgrip strength test will be used [54]. Research has shown that handgrip strength may be independently associated with functional capacity, QoL and survival in patients with advanced cancer [55]. Detailed descriptions of the performance of physical tests can be found in an additional file (see Additional file 1).

Feasibility measures

Feasibility of the intervention will be evaluated as acceptability, attrition and adherence. Acceptability will be measured as the number of eligible patients who agree to participate in the study. Reasons for declining study participation will be listed and evaluated. Attrition will be registered as the number and percentage of participants who do not complete the study requirements. For each component of the intervention adherence will be assessed as the percentage of study parts completed. Data on adverse events related to the intervention will be monitored according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 4.0 (NCI CTCAE v4.0).

Patient-Reported Outcome Measures (PROM)

Patient-reported performance status (PRPS) will be assessed using the ECOG performance status [56]. To measure symptom burden, the M.D. Anderson Symptom Inventory (MDASI) version 1 will be used [57]. MDASI is a multi-symptom PROM assessing the severity of symptoms and their interference with daily living [57]. To assess QoL, the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) version 3.0 will be applied [58]. The EORTC-QLQ-C30 is designed to be cancer specific, and consists of 30 items distributed throughout different functional and symptom scales [58]. To assess symptoms of depression and anxiety, the Hospital Anxiety and Depression Scale (HADS) version 3.0 will be used [59]. HADS comprises 14 items and is designed to measure general depression and anxiety by self-administration [59].

Physical activity

Level of physical activity will be measured by step counts using a Garmin Vivofit 3 activity tracker (Garmin, Olathe, Kansas, U.S.). The average number of steps walked measured over three consecutive days will be used as an estimate of physical activity.

Qualitative assessment of participants’ experiences

Qualitative semi-structured interviews will be conducted with a sample of participants from the intervention group post intervention to explore participants’ experiences and satisfaction with the intervention.

Treatment tolerance and toxicity

Data on dose-reductions and treatment discontinuations will be registered prospectively throughout the intervention period. Toxicity will be registered according to the NCI CTCAE v4.0.

Body measures

Weight, height and body mass index (BMI) will be assessed using standard procedures (no shoes, light clothing). Body composition will be assessed by whole-body dual-energy x-ray absorptiometry (DXA) scan (GE lunar iDXA, GE Healthcare Technologies, Madison, Wisconsin, U.S.), and by bioelectrical impedance (BI) assessment (Body Composition Monitor, Fresenius Medical Care, Bad Homburg v.d.H., Germany).

Inflammatory biomarkers

To explore the influence of exercise training on inflammation, data on inflammatory biomarkers C-reactive protein (CRP), interleukin 6 (IL-6), and Chitinase-3-like protein 1 (CHI3L1), also known as YKL-40, will be collected from medical records or through cooperative research projects.

Hospital admissions

Data on number, causes, and length of hospitalization during the study period will be collected from medical records.


Incidences of deaths and causes of deaths will be registered throughout the study period by review of medical records.

Frequency and timing of study assessments are shown in Table 2. REDCap will continuously be used for data entry during the study period, and subsequently for data storage.

Table 2 Schedule of study assessments

Blinding procedures

Assessments of the primary outcome 30s-CST and all other physical tests will be performed by blinded physiotherapists. Due to the nature of the study, study participants are not blinded.


Sample size

No prior studies have investigated the clinically important difference in the 30s-CST in patients with cancer. According to a previous study focusing on patients with osteoarthritis, the clinically important change in the 30s-CST was set at 2.6 repetitions [60]. Based on results from prior studies in patients with advanced cancer, a standard deviation (SD) of approximately 3 has been reported [61, 62]. To be able to detect a between-group difference in the within-group changes of 2.6 repetitions in the 30s-CST, and to obtain a type I error rate of 5% and a power of 90%, a sample size of 29 participants per study arm will be needed. To account for a dropout rate of approximately 40%, it has been decided to increase the group size to 50. Thus, a total of 100 participants will be included in the trial.


Feasibility measures will be reported as numbers and percentages. Baseline characteristics will be calculated for all participants (total), and separately for the intervention and control group. For all quantitative variables the median number and interquartile range (IQR) will be calculated, and for nominal variables the number and percentage distribution will be calculated. Results from physical tests, blood test, body measures, questionnaires, hospitalizations and toxicity-measures will be reported as means and SDs or as median and IQR, as appropriate. Change over time in ordinal categorical values will be evaluated by a trend test using logistic regression. Within-group and between-group differences in continuous-level data will be performed using independent T-tests. Overall and cancer specific survival will be analyzed with the Kaplan-Meier method, competing risk and Cox regression analyses. The significance level of all tests is set at p < 0.05 and analyses will be carried out in R by the program’s statistician (AT).


We have designed a randomized controlled trial to investigate the effect of a multimodal exercise-based intervention for older patients with advanced PC, BTC and LC undergoing first-line palliative treatment. The elements of exercise in the PACE-Mobil-PBL intervention are designed in accordance with Danish and international recommendations for exercise training in healthy individuals and in patients with cancer [63,64,65]. Focusing on older patients with advanced PC, BTC and LC, several factors have been considered in targeting the intervention, including age-related limitations and comorbidities. Due to the high incidence of cancer cachexia and sarcopenia among these patient groups, the main priority of the exercise program lies on resistance training, whereas high intensity cardiovascular training that requires high energy consumption is avoided. With the aim of avoiding inactivity, an individualized light to moderate intensity home-based activity program based on step counts will be developed for each participant. The multimodal intervention also includes two individualized counseling sessions. The aim of the counseling is to help participants to cope with their current situation in different life domains. The content related to selected domains and questions in the counseling is inspired by the comprehensive geriatric assessment, and by Danish recommendations for the basic palliative assessment [66, 67]. As patients with advanced PC, BTC and LC are at high risk of multiple debilitating symptoms and side effects during oncological treatment, such as fatigue, anorexia, pain, respiratory problems and psychological distress [68,69,70], counseling sessions will specifically focus on optimizing participants’ symptom management. The approach in guiding participants to manage their symptoms and side effects is inspired by the Integrated Approach to Symptom Management developed by Larson et al. [71]. Information on sufficient nutrition during the course of cancer treatment will be incorporated as a mandatory element in the first counseling session, and a protein supplement will be served to all participants after all training sessions. Focus on nutrition is incorporated as nutritional status is recognized as an independent predictor of cancer-related outcomes such as treatment tolerance and mortality [72, 73]. Furthermore, evidence suggests that malnutrition is highly prevalent in patients with cancer, particularly among older patients with cancer [74].

In the PACE-Mobil-PBL intervention, motivation is considered a key factor in engaging participants in exercise training and symptom management, both short and long term. The approach to participants in the nurse-led counseling is inspired by the concept and techniques from Motivational Interviewing [75]. Motivational Interviewing is a collaborative and person-centered method that helps people to resolve ambivalence, and to strengthen their internal motivation needed for a behavior change. Motivational Interviewing has been applied in various settings, and has proven to be an effective counseling strategy in life style changes among patients with cancer [76]. Goal-setting is incorporated as an element in the home-based activity program, as it is recognized as an effective method to achieve behavioral changes, and to enhance motivation and self-efficacy [77].

With the aging population and expected increase in cancer incidence, especially among older people, new approaches of early rehabilitation are needed in order to maintain physical function, independence and QoL in older patients with advanced cancer. PACE-Mobil-PBL has the potential to become a new model of early rehabilitation for older patients with advanced PC, BTC and LC. In the long term, it is our goal to investigate the multimodal program’s effect among older patients with various malignancies in order to map out the effects, common features and differences across cancers, with an overall focus on older patients with cancer.



30-second Chair Stand Test




Activities of Daily Living


Bioelectrical Impedance


Body Mass Index


Biliary Tract Cancer

CHI3L1 (YKL-40):

Chitinase-3-like protein 1


C-Reactive Protein


Dual-energy X-ray Absorptiometry


Eastern Cooperative Oncology Group


European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30


Hospital Anxiety and Depression Scale


Informed Consent Form


Interleukin 6


Interquartile Range


Lung Cancer


M.D. Anderson Symptom Inventory


National Cancer Institute Common Terminology Criteria for Adverse Events, version 4.0


Non-Small Cell Lung Cancer


Pancreatic Cancer


Patient-Reported Outcome Measure


Patient Reported Performance Status


Progressive Resistance Training


Performance Status


Quality of Life


Research Electronic Data Capture


Standard Deviation


  1. Scher KS, Hurria A. Under-representation of older adults in cancer registration trials: known problem, little progress. J Clin Oncol. 2012;30(17):2036–8.

    Article  Google Scholar 

  2. International Agency for Cancer Research. GLOBOCAN 2012: estimated cancer incidence, Mortality and incidence in 2012. 2012. Accessed 19 Dec 2017.

  3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.

    Article  Google Scholar 

  4. Bellizzi KM, Mustian KM, Palesh OG, Diefenbach M. Cancer survivorship and aging : moving the science forward. Cancer. 2008;113(12 Suppl):3530–9.

    Article  Google Scholar 

  5. Strait JB, Lakatta EG. Aging-associated cardiovascular changes and their relationship to heart failure. Heart Fail Clin. 2012;8(1):143–64.

    Article  Google Scholar 

  6. Sharma G, Goodwin J. Effect of aging on respiratory system physiology and immunology. Clin Interv Aging. 2006;1(3):253–60.

    Article  CAS  Google Scholar 

  7. Weinstein JR, Anderson S. The aging kidney: physiological changes. Adv Chronic Kidney Dis. 2010;17(4):302–7.

    Article  Google Scholar 

  8. Bhutto A, Morley JE. The clinical significance of gastrointestinal changes with aging. Curr Opin Clin Nutr Metab Care. 2008;11(5):651–60.

    Article  CAS  Google Scholar 

  9. Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci. 2004;59(3):255–63.

    Article  Google Scholar 

  10. Fried LP, Kronmal RA, Newman AB, Bild DE, Mittelmark MB, Polak JF, et al. Risk factors for 5-year mortality in older adults: the Cardiovascular Health Study. Jama. 1998;279(8):585–92.

    Article  CAS  Google Scholar 

  11. Hilmer SN, Gnjidic D. The effects of polypharmacy in older adults. Clin Pharmacol Ther. 2009;85(1):86–8.

    Article  CAS  Google Scholar 

  12. Cheville AL, Mustian K, Winters-Stone K, Zucker DS, Gamble GL, Alfano CM. Cancer rehabilitation: An Overview of Current Need, Delivery Models, and Levels of Care. Phys Med Rehabil Clin N Am. 2017;28(1):1–17.

    Article  Google Scholar 

  13. Kenzik KM, Kent EE, Martin MY, Bhatia S, Pisu M. Chronic condition clusters and functional impairment in older cancer survivors: a population-based study. J Cancer Surviv. 2016;10(6):1096–103.

    Article  Google Scholar 

  14. Grov EK, Fossa SD, Dahl AA. Short-term and long-term elderly cancer survivors: a population-based comparative and controlled study of morbidity, psychosocial situation, and lifestyle. Eur J Oncol Nurs. 2011;15(3):213–20.

    Article  Google Scholar 

  15. Mohile SG, Xian Y, Dale W, Fisher SG, Rodin M, Morrow GR, et al. Association of a cancer diagnosis with vulnerability and frailty in older Medicare beneficiaries. J Natl Cancer Inst. 2009;101(17):1206–15.

    Article  Google Scholar 

  16. Baker F, Haffer SC, Denniston M. Health-related quality of life of cancer and noncancer patients in Medicare managed care. Cancer. 2003;97(3):674–81.

    Article  Google Scholar 

  17. Hurria A, Togawa K, Mohile SG, Owusu C, Klepin HD, Gross CP, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncology. 2011;29(25):3457–65.

    Article  CAS  Google Scholar 

  18. Extermann M, Boler I, Reich RR, Lyman GH, Brown RH, DeFelice J, et al. Predicting the risk of chemotherapy toxicity in older patients: the chemotherapy risk assessment scale for high-age patients (CRASH) score. Cancer. 2012;118(13):3377–86.

    Article  Google Scholar 

  19. Repetto L. Greater risks of chemotherapy toxicity in elderly patients with cancer. J Support Oncol. 2003;1(4 Suppl 2):18–24.

    PubMed  Google Scholar 

  20. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing. 2010;39(4):412–23.

    Article  Google Scholar 

  21. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011;12(5):489–95.

    Article  Google Scholar 

  22. Moses AW, Slater C, Preston T, Barber MD, Fearon KC. Reduced total energy expenditure and physical activity in cachectic patients with pancreatic cancer can be modulated by an energy and protein dense oral supplement enriched with n-3 fatty acids. Br J Cancer. 2004;90(5):996–1002.

    Article  CAS  Google Scholar 

  23. Bachmann J, Heiligensetzer M, Krakowski-Roosen H, Buchler MW, Friess H, Martignoni ME. Cachexia worsens prognosis in patients with resectable pancreatic cancer. J Gastrointest Surgery. 2008;12(7):1193–201.

    Article  Google Scholar 

  24. Dewys WD, Begg C, Lavin PT, Band PR, Bennett JM, Bertino JR, et al. Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. Am J Med. 1980;69(4):491–7.

    Article  CAS  Google Scholar 

  25. Sun L, Quan XQ, Yu S. An epidemiological survey of Cachexia in advanced Cancer patients and analysis on its diagnostic and treatment status. Nutr Cancer. 2015;67(7):1056–62.

    Article  Google Scholar 

  26. Sanchez-Lara K, Turcott JG, Juarez E, Guevara P, Nunez-Valencia C, Onate-Ocana LF, et al. Association of nutrition parameters including bioelectrical impedance and systemic inflammatory response with quality of life and prognosis in patients with advanced non-small-cell lung cancer: a prospective study. Nutr Cancer. 2012;64(4):526–34.

    Article  CAS  Google Scholar 

  27. Fearon KC, Voss AC, Hustead DS. Definition of cancer cachexia: effect of weight loss, reduced food intake, and systemic inflammation on functional status and prognosis. Am J Clin Nutr. 2006;83(6):1345–50.

    Article  CAS  Google Scholar 

  28. Stephens NA, Skipworth RJ, Gallagher IJ, Greig CA, Guttridge DC, Ross JA. Evaluating potential biomarkers of cachexia and survival in skeletal muscle of upper gastrointestinal cancer patients. J Cachexia Sarcopenia Muscle. 2015;6(1):53–61.

    Article  Google Scholar 

  29. Bouaziz W, Vogel T, Schmitt E, Kaltenbach G, Geny B, Lang PO. Health benefits of aerobic training programs in adults aged 70 and over: a systematic review. Arch Gerontol Geriatr. 2017;69:110–27.

    Article  Google Scholar 

  30. Papa EV, Dong X, Hassan M. Resistance training for activity limitations in older adults with skeletal muscle function deficits: a systematic review. Clin Interv Aging. 2017;12:955–61.

    Article  Google Scholar 

  31. Stewart VH, Saunders DH, Greig CA. Responsiveness of muscle size and strength to physical training in very elderly people: a systematic review. Scand J Med Sci Sports. 2014;24(1):e1–10.

    Article  CAS  Google Scholar 

  32. Catalan-Matamoros D, Gomez-Conesa A, Stubbs B, Vancampfort D. Exercise improves depressive symptoms in older adults: an umbrella review of systematic reviews and meta-analyses. Psychiatry Res. 2016;244:202–9.

    Article  Google Scholar 

  33. Jones LW, Eves ND, Haykowsky M, Freedland SJ, Mackey JR. Exercise intolerance in cancer and the role of exercise therapy to reverse dysfunction. Lancet Oncol. 2009;10(6):598–605.

    Article  Google Scholar 

  34. Buffart LM, Kalter J, Sweegers MG, Courneya KS, Newton RU, Aaronson NK, et al. Effects and moderators of exercise on quality of life and physical function in patients with cancer: an individual patient data meta-analysis of 34 RCTs. Cancer Treat Rev. 2017;52:91–104.

    Article  Google Scholar 

  35. Gerritsen JK, Vincent AJ. Exercise improves quality of life in patients with cancer: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2016;50(13):796–803.

    Article  Google Scholar 

  36. Adamsen L, Quist M, Andersen C, Moeller T, Herrstedt J, Kronborg D, et al. Effect of a multimodal high intensity exercise intervention in cancer patients undergoing chemotherapy: randomised controlled trial. BMJ. 2009;339:b3410.

    Article  Google Scholar 

  37. Kilari D, Soto-Perez-de-Celis E, Mohile SG, Alibhai SM, Presley CJ, Wildes TM, et al. Designing exercise clinical trials for older adults with cancer: recommendations from 2015 Cancer and aging research group NCI U13 meeting. J Geriatr Oncol. 2016;7(4):293–304.

    Article  Google Scholar 

  38. Granger CL, McDonald CF, Berney S, Chao C, Denehy L. Exercise intervention to improve exercise capacity and health related quality of life for patients with non-small cell lung cancer: a systematic review. Lung Cancer. 2011;72(2):139–53.

    Article  CAS  Google Scholar 

  39. Cavalheri V, Tahirah F, Nonoyama M, Jenkins S, Hill K. Exercise training for people following lung resection for non-small cell lung cancer - a Cochrane systematic review. Cancer Treat Rev. 2014;40(4):585–94.

    Article  Google Scholar 

  40. Quist M, Adamsen L, Rorth M, Laursen JH, Christensen KB, Langer SW. The impact of a multidimensional exercise intervention on physical and functional capacity, anxiety, and depression in patients with advanced-stage lung Cancer undergoing chemotherapy. Integr Cancer Ther. 2015;14(4):341–9.

    Article  CAS  Google Scholar 

  41. Rueda JR, Sola I, Pascual A, Subirana Casacuberta M. Non-invasive interventions for improving well-being and quality of life in patients with lung cancer. Cochrane Database Syst Rev. 2011;(9):Cd004282.

  42. Lai Y, Huang J, Yang M, Su J, Liu J, Che G. Seven-day intensive preoperative rehabilitation for elderly patients with lung cancer: a randomized controlled trial. J Surg Res. 2017;209:30–6.

    Article  Google Scholar 

  43. Yeo TP, Burrell SA, Sauter PK, Kennedy EP, Lavu H, Leiby BE, et al. A progressive postresection walking program significantly improves fatigue and health-related quality of life in pancreas and periampullary cancer patients. J Am Coll Surg, 475. 2012;214(4):463 discussion 475–467.

    Article  Google Scholar 

  44. Jensen W, Baumann FT, Stein A, Bloch W, Bokemeyer C, de Wit M, et al. Exercise training in patients with advanced gastrointestinal cancer undergoing palliative chemotherapy: a pilot study. Support Care Cancer. 2014;22(7):1797–806.

    PubMed  Google Scholar 

  45. Slade SC, Dionne CE, Underwood M, Buchbinder R, Beck B, Bennell K, et al. Consensus on exercise reporting template (CERT): modified Delphi study. Phys Ther. 2016;96(10):1514–24.

    Article  Google Scholar 

  46. Rikli R, Jones CJ. Senior fitness test manual -2nd edition. Champaign: Human Kinetics; 2001.

  47. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999;70(2):113–9.

    Article  CAS  Google Scholar 

  48. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129–61.

    Article  Google Scholar 

  49. Loenbro S, Dalgas U, Primdahl H, Overgaards J, Overgaard K. Feasibility and efficacy of progressive resistance training and dietary supplements in radiotherapy treated head and neck cancer patients -- the DAHANCA 25A study. Acta Oncol. 2013;52(2):310–8.

    Article  Google Scholar 

  50. Guralnik JM, Ferrucci L, Pieper CF, Leveille SG, Markides KS, Ostir GV, et al. Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci. 2000;55(4):M221–31.

    Article  CAS  Google Scholar 

  51. Cesari M, Kritchevsky SB, Penninx BW, Nicklas BJ, Simonsick EM, Newman AB, et al. Prognostic value of usual gait speed in well-functioning older people--results from the health, aging and body composition study. J Am Geriatr Soc. 2005;53(10):1675–80.

    Article  Google Scholar 

  52. Schmidt K, Vogt L, Thiel C, Jäger E, Banzer W. Validity of the six-minute walk test in cancer patients. Int J Sports Med. 2013;34(7):631–6.

    Article  CAS  Google Scholar 

  53. Rikli RE, Jones CJ. The reliability and validity of a 6-minute walk test as a measure of physical endurance in older adults. J Aging Phys Act. 1998;6:363–75.

    Article  Google Scholar 

  54. Mathiowetz V, Weber K, Volland G, Kashman N. Reliability and validity of grip and pinch strength evaluations. J Hand Surg Am. 1984;9(2):222–6.

    Article  CAS  Google Scholar 

  55. Kilgour RD, Vigano A, Trutschnigg B, Lucar E, Borod M, Morais JA. Handgrip strength predicts survival and is associated with markers of clinical and functional outcomes in advanced cancer patients. Support Care Cancer. 2013;21(12):3261–70.

    Article  CAS  Google Scholar 

  56. Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, et al. Toxicity and response criteria of the eastern cooperative oncology group. Am J Clin Oncol. 1982;5(6):649–55.

    Article  CAS  Google Scholar 

  57. Cleeland CS, Mendoza TR, Wang XS, Chou C, Harle MT, Morrissey M, et al. Assessing symptom distress in cancer patients: the M.D. Anderson symptom inventory. Cancer. 2000;89(7):1634–46.

    Article  CAS  Google Scholar 

  58. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. 1993;85(5):365–76.

    Article  CAS  Google Scholar 

  59. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  Google Scholar 

  60. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41(5):319–27.

    Article  Google Scholar 

  61. Litterini AJ, Fieler VK, Cavanaugh JT, Lee JQ. Differential effects of cardiovascular and resistance exercise on functional mobility in individuals with advanced cancer: a randomized trial. Arch Phys Med Rehabil. 2013;94(12):2329–35.

    Article  Google Scholar 

  62. Oldervoll LM, Loge JH, Lydersen S, Paltiel H, Asp MB, Nygaard UV, et al. Physical exercise for cancer patients with advanced disease: a randomized controlled trial. Oncologist. 2011;16(11):1649–57.

    Article  Google Scholar 

  63. American College of Sports Medicine position stand. Progression models in resistance training for healthy adults. Med Sci Sports Exerc. 2009;41(3):687–708.

    Article  Google Scholar 

  64. Sundhedsstyrelsen. Fysisk aktivitet - håndbog om forebyggelse og behandling 2011. Version 3.1. Accessed 2 Feb 2017.

  65. Schmitz KH, Courneya KS, Matthews C, Demark-Wahnefried W, Galvao DA, Pinto BM, et al. American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med Sci Sports Exerc. 2010;42(7):1409–26.

    Article  Google Scholar 

  66. Wildiers H, Heeren P, Puts M, Topinkova E, Janssen-Heijnen ML, Extermann M, et al. International Society of Geriatric Oncology consensus on geriatric assessment in older patients with cancer. J Clin Oncol. 2014;32(24):2595–603.

    Article  Google Scholar 

  67. Sundhedsstyrelsen. Anbefalinger for den palliative indsats 2017. Accessed 2 Feb 2017.

  68. Tang CC, Von Ah D, Fulton JS. The Symptom Experience of Patients With Advanced Pancreatic Cancer: An Integrative Review. Cancer Nurs. 2018;41(1):33–44.

    Article  Google Scholar 

  69. Vainio A, Auvinen A. Prevalence of symptoms among patients with advanced cancer: an international collaborative study. Symptom Prevalence Group. J Pain Symptom Manage. 1996;12(1):3–10.

    Article  CAS  Google Scholar 

  70. LeBlanc TW, Nickolich M, Rushing CN, Samsa GP, Locke SC, Abernethy AP. What bothers lung cancer patients the most? A prospective, longitudinal electronic patient-reported outcomes study in advanced non-small cell lung cancer. Support Care Cancer. 2015;23(12):3455–63.

    Article  Google Scholar 

  71. Larson PJ, Uchinuno A, Izumi S, Kawano A, Takemoto A, Shigeno M, et al. An integrated approach to symptom management. Nurs Health Sci. 1999;1:203–10.

    Article  Google Scholar 

  72. Bosaeus I, Daneryd P, Lundholm K. Dietary intake, resting energy expenditure, weight loss and survival in cancer patients. J Nutr. 2002;132(11 Suppl):3465s–6s.

    Article  CAS  Google Scholar 

  73. Andreyev HJ, Norman AR, Oates J, Cunningham D. Why do patients with weight loss have a worse outcome when undergoing chemotherapy for gastrointestinal malignancies? Eur J Cancer. 1998;34(4):503–9.

    Article  CAS  Google Scholar 

  74. Lacau St Guily J, Bouvard E, Raynard B, Goldwasser F, Maget B, Prevost A, et al. NutriCancer: a French observational multicentre cross-sectional study of malnutrition in elderly patients with cancer. J Geriatr Oncol. 2018;9(1):74–80.

    Article  Google Scholar 

  75. Miller W, Rollnick S. Motivational interviewing - helping people change 2nd edition edn. New York: Guilford Press; 2002.

    Google Scholar 

  76. Spencer JC, Wheeler SB. A systematic review of motivational interviewing interventions in cancer patients and survivors. Patient Educ Couns. 2016;99(7):1099–105.

    Article  Google Scholar 

  77. Locke EA, Bryan JF. The effects of goal-setting, rule-learning, and knowledge of score on performance. Am J Psychol. 1966;79(3):451–7.

    Article  CAS  Google Scholar 

Download references


The PACE-Mobil-PBL study is supported by grants from the Novo Nordisk Foundation (NNF16OC0022338, NNF17OC0029756). The Novo Nordisk Foundation did not have any role in the conduction of the study protocol, and will not have any role in data collection, interpretation of data, or in the drafting or approval of any coming publications.

Availability of data and materials

Plans for data entry, security and storage have been approved by the Danish Data Protection Agency ( VD − 2018-51). Study material and data will be available from the corresponding author Marta Kramer Mikkelsen on request.

Author information

Authors and Affiliations



Authorships follows the Vancouver guidelines. MKM, CML, AV, JSJ, IC, AMR, DLN and MJ designed the study. AT provided statistical assistance on the power analysis, and planned and prepared the randomization procedure. MKM wrote the protocol and the initial manuscript draft, and CML, AV, AMR, AT, JSJ, IC, LEN, FOL, BZ, DLN and MJ reviewed it critically. All authors have read and approved the final version of the manuscript.

Corresponding author

Correspondence to Marta Kramer Mikkelsen.

Ethics declarations

Authors’ information

MKM is a PhD student from the University of Copenhagen, with an educational background as a RN and MHSc. JSJ, IC, LEN, FOL and DLN are oncologists, CML is a geriatrician, AV is a research physiotherapist, AMR is a physiotherapist, AT is a statistician, BZ is a medical physiologist, and MJ is a senior nursing researcher.

Ethics approval and consent to participate

The study protocol, version 2.0 from February 1st 2018, is approved by the Regional Ethics Committee for the Capital Region of Denmark ( H-18001096). Any changes in the protocol will be reported to the Regional Ethics Committee. Informed verbal and written content will be obtained for all participants before inclusion in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Detailed description of physical tests. A detailed description of the performance of physical tests in the study, including practical conditions, tools and instructions. (DOCX 14 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mikkelsen, M.K., Lund, C.M., Vinther, A. et al. Engaging the older cancer patient; Patient Activation through Counseling, Exercise and Mobilization – Pancreatic, Biliary tract and Lung cancer (PACE-Mobil-PBL) - study protocol of a randomized controlled trial. BMC Cancer 18, 934 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: