• 1. Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, P. R. China;
  • 2. Department of Cardiothoracic Surgery, Zigong First People's Hospital, Zigong, 643000, Sichuan, P. R. China;
  • 3. Department of Thoracic Surgery, Ya'an People's Hospital, Ya'an, 625000, Sichuan, P. R. China;
  • 4. Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, P. R. China;
  • 5. Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, P. R. China;
  • 6. Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, P. R. China;
  • 7. Department of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, P. R. China;
  • 8. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China;
  • 9. Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, 611130, P. R. China;
  • 10. Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Shanghai, 200433, P. R. China;
  • 11. Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, P. R. China;
  • 12. School of Public Health, Chongqing Medical University, Chongqing, 400016, P. R. China;
LI Qiang, Email: liqiang@sichuancancer.org; SHI Qiuling, Email: qshi@cqmu.edu.cn
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Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

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