Analyzing the Correlation between Symptom Profiles and Patient Outcomes in Cancer Therapy
DOI:
https://doi.org/10.56294/hl2025621Keywords:
Cancer, Therapy, Patient Outcomes, Symptom Profiles, Quality of Life, RecoveryAbstract
Cancer treatment outcomes vary significantly among patients due to differences in symptom profiles, which can influence treatment effectiveness, recovery trajectories, and overall quality of life. The research examines the relationship between symptom profiles specifically fatigue, pain, and psychological distress and patient outcomes in cancer therapy. A cohort of 395 cancer patients undergoing treatment was analyzed, representing various cancer types, stages, and treatment modalities, providing a comprehensive assessment of symptom-outcome relationships. Descriptive statistics, factor analysis, and correlation analysis were utilized to identify symptom patterns and their impact on treatment response as well as patient well-being. The findings reveal that distinct symptom profiles correlate with variations in recovery rates, treatment efficacy, and overall quality of life (QoS). Patients experiencing high levels of fatigue and pain tend to have prolonged recovery times, increased treatment side effects, and a higher likelihood of treatment modifications. Those with severe psychological distress often exhibit lower adherence to treatment regimens, potentially compromising therapeutic effectiveness and long-term survival rates. These insights emphasize the need for tailored symptom management strategies to improve patient-centered care and treatment success. By integrating symptom monitoring into treatment plans, healthcare providers can develop more personalized interventions, optimizing both treatment efficacy and patient well-being. Understanding these relationships can aid in refining cancer care approaches, promoting more effective therapeutic strategies, and enhancing patient recovery. The significance of treating cancer holistically, which takes into account both psychological and physical symptoms, is highlighted by the research. Future research should explore targeted symptom management techniques to further enhance individualized cancer.
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Copyright (c) 2025 Prathima Prakasam , Shenbaga Lalitha S , Damanjeet Aulakh, Neeta Mazumdar, Lokesh Ravilla, Sudha D (Author)
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