Theoretical Framework and Management Strategies for Lung Cancer Symptom Clusters: A Systematic Review Based on Multi-Theory Integration
Abstract
framework for lung cancer symptom clusters. Lung cancer patients experience an average of 14 symptoms, which form four core symptom
clusters: emotional, fatigue, gastrointestinal, and respiratory. The synergistic effects within these clusters lead to a decline in quality of life that
exceeds the sum of individual symptom effects by over 30%. Research indicates that through multidisciplinary collaboration (MDT), dynamic
monitoring (e.g., the ASyMS system), and integrative Traditional Chinese Medicine interventions, the severity of symptom clusters can be
reduced by 40%. Future efforts should focus on promoting the development of standardized assessment tools (e.g., the MDASI-LC scale) and
AI-based early warning systems, and deepening research on cross-theoretical integration and precise interventions.
Keywords
Full Text:
PDFReferences
[1] Tuo Wangyang, He Hong. Research Progress on Postoperative Symptom Clusters in Lung Cancer Patients[J]. Modern Medicine &
Health, 2024, 40(20):3573-3577+3584.
[2] Zhang Huanhuan, Zhang Na, Liu Yan. A Longitudinal Survey of Symptom Clusters in Lung Cancer Patients During the Perioperative
Period[J]. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2025, 32(04):508-514.
[3] Ju Xiaodi. A Longitudinal Study on Symptom Clusters and Sentinel Symptoms in Lung Cancer Patients During Chemotherapy[D]. Anhui Medical University, 2023.
[4] L Xiaoqing. Construction and Clinical Validation of an Intervention Program for Symptom Clusters in Perioperative Non-Small Cell
Lung Cancer Patients[D]. Anhui Medical University, 2023.
[5] Li Chunyan, Ding Qian, Yang Hui. Research Progress on Longitudinal Studies of Symptom Clusters in Lung Cancer Patients[J]. General Nursing, 2022, 20(23):3237-3240.
[6] Li Jingjing. Research on the Management of Symptom Clusters During Chemotherapy Intervals in Lung Cancer Patients[D]. Shanxi
Medical University, 2022.
[7] Ru Yanan, Shi Suling, Zhao Jiegang, et al. Research Progress on Symptom Cluster Management in Lung Cancer Patients[J]. Henan
Medical Research, 2022, 31(02):377-381.
[8] Yan Wenjing. Analysis of Influencing Factors of Symptom Clusters in Lung Cancer Patients Undergoing Chemotherapy and Their Correlation with Common Blood Test Indicators[D]. University of South China, 2019.
[9] Hu Xia, Luo Jian, Li Miaomiao, et al. Research Progress on Symptom Cluster Management in Lung Cancer Patients[J]. Journal of Nursing Science, 2019, 34(07):99-102.
[10] Lin Dongmei. Detection of Biological Indicators and Construction of a Risk Path Assessment Model for Lung Cancer Symptom
Clusters[D]. Southern Medical University, 2019.
DOI: http://dx.doi.org/10.70711/mhr.v3i2.9472
Refbacks
- There are currently no refbacks.
