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This paper is in the following e-collection/theme issue:

Reviews on Innovations in Cancer (108) New Methods (1787) Methods in Human Factors Research (107) Methods in Cancer Research (88) Cancer Self-Management (122) Innovative Methods in Public Health and Surveillance (509) Chemotherapy and Side Effects Management (145)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66087, first published .
Young woman with IV drip on phone in clinic

Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach

Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach

Authors of this article:

Vincent Richard1, 2 Author Orcid Image ;   Allison Gilbert1 Author Orcid Image ;   Emanuela Pizzolla1, 3 Author Orcid Image ;   Giovanni Briganti1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Nurjaman I, Inayah I, Setiawati , Nurzaeni I. Strengthening theory-driven approaches to cancer pain management in older adults with cognitive decline. European Journal of Oncology Nursing 2026;80:103062 View
  2. Zhang Y, Pan H, Zhang J, Wan F, Ma M, Zheng W. Symptom networks in breast cancer patients during chemotherapy and their impact on daily living status. Frontiers in Oncology 2026;16 View
  3. Niscola P, Giovannini M, Efficace F. The importance of better understanding symptom trajectories in the evolving treatment landscape of acute myeloid leukemia. Supportive Care in Cancer 2026;34(5) View
  4. Deng J, Deng Q, Zhang L. Longitudinal dynamics of symptom networks in patients with differentiated thyroid cancer undergoing radioactive iodine therapy: a prospective cohort study. Frontiers in Oncology 2026;16 View
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  6. Liu S, Zhao S. Symptom clusters and sentinel symptoms in colorectal cancer patients during post-operative chemotherapy. Frontiers in Oncology 2026;16 View
  7. Kirchhoff C, Licht T, Eke S, Matko Š, Grote V, Fischer M, Hüfner K, Riedl D. Changes in Symptom Networks During Inpatient Cancer Rehabilitation: A Retrospective Bayesian Gaussian Graphical Model Analysis of Real-World Patient-Reported Outcomes. Cancers 2026;18(13):2155 View
  8. Edward H, Lawrence D, Grant A, Page A, Macedo L, Wojkowski S, Mukherjee S, Smith-Turchyn J, Aremu T. Proposing the use of a physiotherapist navigator in an acute cancer care setting in Ontario: A nationwide survey using a modified Delphi approach. PLOS One 2026;21(8):e0355732 View
  9. Wang X, Gu D, Li P, Wang H, Wei J, Jiao J, Lu M, Xu X, Su S, Zhu F, Zhao X, Yuan X, Yu P. Effectiveness of a symptom network–based core symptom management program on symptom burden in lung cancer patients: A randomized controlled trial. European Journal of Oncology Nursing 2026;84:103296 View
  10. Reheman M, Li Y, Chen Y, Yan Q, Hu X. Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta‐Analysis. Journal of Nursing Scholarship 2026;58(5) View
  11. Wang Y, Liu X, Xu X, Gu J. Network structure of depression, anxiety and stress in patients with non-Hodgkin’s lymphoma receiving chemotherapy: a multicentre cross-sectional study. BMJ Open 2026;16(8):e120768 View