Dynamic changes in symptom clusters and symptom networks in patients with multiple myeloma: Across-lagged network analysis

This article explores how symptoms evolve in newly diagnosed multiple myeloma patients undergoing chemotherapy, identifying key symptom clusters like psychological distress and fatigue. The researchers used cross-lagged panel network analysis to pinpoint central symptoms, such as irritability and weight loss, that predict the occurrence of other symptoms. The findings offer valuable insights for nursing interventions aimed at improving symptom management in this patient population.