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  4. Digital and AI-assisted multimodal supportive care, combining physical activity, nutrition, and pain management during chemotherapy for advanced pancreatic cancer patients: study protocol of the European multicenter randomized controlled trial of the RELEVIUM project
 
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2025
Journal Article
Title

Digital and AI-assisted multimodal supportive care, combining physical activity, nutrition, and pain management during chemotherapy for advanced pancreatic cancer patients: study protocol of the European multicenter randomized controlled trial of the RELEVIUM project

Abstract
BACKGROUND: Multimodal care, including nutritional support, physical exercise, and pain management, is essential to address complex therapeutic challenges in advanced pancreatic cancer. There is an increasing prevalence worldwide in pancreatic cancer and the disease is often diagnosed late leading to limited treatment options and poor prognosis. Advanced pancreatic cancer patients experience a wide range of adverse symptoms that affect their quality of life and require comprehensive and interdisciplinary patient care early in treatment. Integrating digital health, particularly through remote monitoring, plays a vital role in addressing the therapeutic challenges and improving data-driven clinical decision-making. Therefore, the European project RELEVIUM examines the effect of a personalized, digitally assisted multimodal supportive care intervention on health-related quality of life in patients with pancreatic cancer aiming to improve early access to multidisciplinary, cost-effective palliative care.
METHODS: In cancer centers in Estonia, Israel, and Germany, 132 patients will be randomly assigned in the prospective randomized controlled trial RELEVIUM-RCT into two groups. Both groups receive standard chemotherapy. The control group follows usual care, while the intervention group receives personalized, digitally assisted multimodal support integrated into usual care. The intervention includes guidance and monitoring on pain, nutrition, fatigue, sarcopenia, and physical activity. Patients track their physical activities, nutritional behavior and rate pain and fatigue daily via a smartwatch and mobile app. The physician analyses these longitudinal data on a dashboard and counsels the patients every two weeks during clinical visits, assisted by an interdisciplinary team and digital support system. The primary endpoint of the study is health-related quality of life including factors such as time until a definitive deterioration in selected dimensions (physical functioning and/or appetite loss) assessed at 8 weeks. Secondary endpoints include longitudinal analyses of efficacy related to pain, physical function, nutrition, sarcopenia, and socioeconomic factors. DISCUSSION: The RELEVIUM-RCT investigates the efficacy of digital health support for individuals with advanced pancreatic cancer in conjunction with conventional treatments in three European countries. Longitudinal data on the interplay of chemotherapy toxicity, fatigue, pain, physical activity, and nutrition will provide valuable extended insights on multimodal pancreatic cancer care. Moreover, this data can help demonstrate the benefits of digital health in clinical decision-making, ultimately contributing to improved quality of care in Europe. TRIAL REGISTRATION: Registry: German Clinical Trials Register; Registration number: DRKS00037143; Date of registration: 5th of June 2025.
Author(s)
Hillen, Barlo
Johannes Gutenberg-Universität Mainz
Oestreicher, Gabrielle
Universitätsmedizin Mainz
Schwab, Lisa
Johannes Gutenberg-Universität Mainz
Enders, Kira
Johannes Gutenberg-Universität Mainz
Simon, Perikles D.
Johannes Gutenberg-Universität Mainz
Elme, Anneli
North Estonia Medical Centre
Ben-Aharon, Irit
Technion - Israel Institute of Technology
Goshenlago, Tal
Technion - Israel Institute of Technology
Neuzillet, Cindy
Université de Versailles Saint-Quentin-en-Yvelines
Sclafani, Francesco
Institut Jules Bordet
Beltran, Eva Ester Molina
Université de Versailles Saint-Quentin-en-Yvelines
Schuster, Michael
Universitätsmedizin Mainz
Doncheva, Hristina
Ruckes, Christian
Universitätsmedizin Mainz
Karlecik, Michael
Petrowski, Katja
Universitätsmedizin Mainz
Rosenbaum, David
Diou, Christos A.
Harokopio University of Athens
Ballas, Aristotelis
Harokopio University of Athens
Vlachostergiou, Aggeliki
Exus Software (Exus AI Labs)
Mastricci, Davide
Exus Software (Exus AI Labs)
Scherrer, Alexander  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Pilz, Maximilian
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Flechsig, Jonas
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Apostolidis, Lazaros
Centre for Research and Technology-Hellas
Krooupa, A. M.
Centre for Research and Technology-Hellas
Chintha, Sai
MCS Data Labs
Musisi, Isa Wasswa
MCS Data Labs
Tzavara, Nefeli Panagiota
Kakasis, Athanasios
Hadjikypri, Xenia
Center for Social Innovation
Karra, Styliani
Center for Social Innovation
Chatzipanagiotou, Kyriaki
Center for Social Innovation
Drivas, Ioannis C.
DIADIKASIA Business Consulting S.A.
Dacasa, Hugo
Möehler, Markus H.
Universitätsmedizin Mainz
Journal
BMC cancer  
Open Access
File(s)
Download (2.15 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1186/s12885-025-14867-6
10.24406/publica-5949
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Cachexia

  • Chemotherapy

  • Digital Health

  • Nutrition

  • Pancreatic Cancer

  • Personalized Medicine

  • Physical Activity

  • Sarcopenia

  • Supportive Care

  • Telemedicine

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