Published on in Vol 4, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17898, first published .
Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study

Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study

Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study

Journals

  1. Iivanainen S, Ekstrom J, Virtanen H, Kataja V, Koivunen J. Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Sauer C, Krauß J, Jäger D, Zschäbitz S, Haag G, Walle T, Sauer S, Kiermeier S, Friederich H, Maatouk I. eHealth intervention to manage symptoms for patients with cancer on immunotherapy (SOFIA): a study protocol for a randomised controlled external pilot trial. BMJ Open 2021;11(7):e047277 View
  3. Denis F, Krakowski I. How Should Oncologists Choose an Electronic Patient-Reported Outcome System for Remote Monitoring of Patients With Cancer?. Journal of Medical Internet Research 2021;23(9):e30549 View
  4. Zhang L, Zhang X, Shen L, Zhu D, Ma S, Cong L. Efficiency of Electronic Health Record Assessment of Patient-Reported Outcomes After Cancer Immunotherapy. JAMA Network Open 2022;5(3):e224427 View
  5. Feng L, He J, Feng L, Li Y, Li J, Chen C. Symptoms, symptom clusters and associated factors among cancer patients receiving immune checkpoint inhibitor therapy: A cross-sectional survey. European Journal of Oncology Nursing 2023;63:102288 View
  6. Iivanainen S, Ekström J, Virtanen H, Kataja V, Koivunen J. Predicting Objective Response Rate (ORR) in Immune Checkpoint Inhibitor (ICI) Therapies with Machine Learning (ML) by Combining Clinical and Patient-Reported Data. Applied Sciences 2022;12(3):1563 View
  7. Hayashida T, Nagayama A, Seki T, Takahashi M, Matsumoto A, Kubota A, Jinno H, Miyata H, Kitagawa Y. Feasibility study on collecting patient‐reported outcomes from breast cancer patients using the LINE‐ePRO system. Cancer Science 2022;113(5):1722 View
  8. Kuusisalo S, Koivunen J, Iivanainen S. Association of Rare Immune-Related Adverse Events to Survival in Advanced Cancer Patients Treated with Immune Checkpoint Inhibitors: A Real-World Single-Center Cohort Study. Cancers 2022;14(9):2276 View
  9. Iivanainen S, Baird A, Balas B, Bustillos A, Castro Sanchez A, Eicher M, Golding S, Mueller-Ohldach M, Reig M, Welslau M, Ammann J. Assessing the impact of digital patient monitoring on health outcomes and healthcare resource usage in addition to the feasibility of its combination with at-home treatment, in participants receiving systemic anticancer treatment in clinical practice: protocol for an interventional, open-label, multicountry platform study (ORIGAMA). BMJ Open 2023;13(4):e063242 View
  10. Jin W, Mohan S, Adams M, Hoffe S, Robinson E. The Emerging Role of Digital Therapeutics in Medical, Surgical and Radiation Oncology. Applied Radiation Oncology 2022 View
  11. Lai-Kwon J, Cohen J, Lisy K, Rutherford C, Girgis A, Basch E, Jefford M. The Feasibility, Acceptability, and Effectiveness of Electronic Patient-Reported Outcome Symptom Monitoring for Immune Checkpoint Inhibitor Toxicities: A Systematic Review. JCO Clinical Cancer Informatics 2023;(7) View
  12. Fraterman I, Wollersheim B, Tibollo V, Glaser S, Medlock S, Cornet R, Gabetta M, Gisko V, Barkan E, di Flora N, Glasspool D, Kogan A, Lanzola G, Leizer R, Mallo H, Ottaviano M, Peleg M, van de Poll-Franse L, Veggiotti N, Śniatała K, Wilk S, Parimbelli E, Quaglini S, Rizzo M, Locati L, Boekhout A, Sacchi L, Wilgenhof S. An eHealth App (CAPABLE) Providing Symptom Monitoring, Well-Being Interventions, and Educational Material for Patients With Melanoma Treated With Immune Checkpoint Inhibitors: Protocol for an Exploratory Intervention Trial. JMIR Research Protocols 2023;12:e49252 View
  13. Biskupiak Z, Ha V, Rohaj A, Bulaj G. Digital Therapeutics for Improving Effectiveness of Pharmaceutical Drugs and Biological Products: Preclinical and Clinical Studies Supporting Development of Drug + Digital Combination Therapies for Chronic Diseases. Journal of Clinical Medicine 2024;13(2):403 View
  14. Cancel M, Sauger C, Biogeau J, Dardaine-Giraud V, Lecomte T, Solub D, Combe P, Wilmet R, Aubard E, Deloigne A, Hébrard P, Dorval É. FASTOCH: Feasibility of Electronic Patient-Reported Outcomes in Older Patients With Cancer—A Multicenter Prospective Study. Journal of Clinical Oncology 2024;42(22):2713 View
  15. Mohr P, Ascierto P, Addeo A, Vitale M, Queirolo P, Blank C, Ekström J, Vainio J, Kataja V, Gunes S, Engström-Risku M, Thole H, Fagan A, Calado F, Marques R, Lijnsvelt J. Electronic patient-reported outcomes, fever management, and symptom prediction among patients with BRAF V600 mutant stage III–IV melanoma: The Kaiku Health platform. EJC Skin Cancer 2024;2:100254 View
  16. Armeni P, Polat I, De Rossi L, Diaferia L, Meregalli S, Gatti A. Exploring the potential of digital therapeutics: An assessment of progress and promise. DIGITAL HEALTH 2024;10 View