1. |
中华医学会肿瘤学分会. 中华医学会肺癌临床诊疗指南 (2024版). 中华医学杂志, 2024, 104(34): 3175-3213.Oncology Society of Chinese Medical Association. Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2024 edition). Natl Med J China, 2024, 104(34): 3175-3213.
|
2. |
罗国庆, 卢潇, 李定慧, 等. 2024年第5版《NCCN肿瘤临床实践指南: 非小细胞肺癌》更新解读. 中国胸心血管外科临床杂志, 2024, 31(7): 955-961.Luo GQ, Lu X, Li DH, et al. interpretation of the updated nccn clinical practice guidelines in oncology: non-small cell lung cancer (version 5. 2024). Chin J Clin Thorac Cardiovasc Surg, 2024, 31(7): 955-961.
|
3. |
舒文博, 周振宇, 王新, 等. 发展中的肺癌微创主流技术——胸腔镜手术. 中国临床新医学, 2022, 15(3): 189-192.Shu WB, Zhou ZY, Wang X, et al. thoracoscopic surgery: An advancing mainstream minimally invasive technique for lung cancer. Chin J New Clin Med, 2022, 15(3): 189-192.
|
4. |
刘微, 雍芳芳, 王合梅, 等. 胸科手术术后肺部并发症研究进展. 中华胸心血管外科杂志, 2024, 40(7): 430-437.Liu W, Yong FF, Wang HM, et al. research advance in postoperative pulmonary complications in thoracic surgery. Chin J of Thorac Cardiovasc Surg, 2024, 40(7): 430-437.
|
5. |
费林晶, 邹宓. 胸腔镜部分肺切除术后肺部并发症的危险因素及对患者远期预后的影响. 反射疗法与康复医学, 2024, 5(22): 110-113.Fei LJ, Zou M. risk factors of pulmonary complications after thoracoscopic partial pulmonary resection and their effect on long-term prognosis of patients. Reflexol Rehabil Med, 2024, 5(22): 110-113.
|
6. |
Levett DZH, Grocott MPW. cardiopulmonary exercise testing, prehabilitation, and enhanced recovery after surgery (eras). Can J Anaesth, 2015, 62(2): 131-142.
|
7. |
张琳, 田新瑞. 心肺运动试验对围手术期风险评估的研究进展. 心肺血管病杂志, 2023, 42(4): 375-379.Zhang L, Tian XR. research progress on cardiopulmonary exercise testing for perioperative risk assessment. J Cardiovasc Pulm Dis, 2023, 42(4): 375-379.
|
8. |
Swanson K, Wu E, Zhang A, et al. from patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Cell, 2023, 186(8): 1772-1791.
|
9. |
Belsti Y, Moran L, Du L, et al. comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the monash gdm machine learning model. Int J Med Inform, 2023, 179: 105228.
|
10. |
Ponce-Bobadilla AV, Schmitt V, Maier CS, et al. practical guide to shap analysis: Explaining supervised machine learning model predictions in drug development. Clin Transl Sci, 2024, 17(11): e70056.
|
11. |
中华医学会心血管病学分会, 中国康复医学会心肺预防与康复专业委员会, 中华心血管病杂志编辑委员会. 心肺运动试验临床规范应用中国专家共识. 中华心血管病杂志, 2022, 50(10): 973-986.Chinese Society of Cardiology, Professional Committee of Cardiopulmonary Prevention and Rehabilitation of Chinese Rehabilitation Medical Association, Editorial Board of Chinese Journal of Cardiology. Chinese expert consensus on standardized clinical application of cardiopulmonary exercise testing. Chin J Cardiovasc, 2022, 50(10): 973-986.
|
12. |
张生清, 林招芹, 马欢. 正中开胸和胸腔镜手术对二尖瓣反流患者术后心肺功能影响的对比. 岭南心血管病杂志, 2024, 30(3): 286-291.Zhang SQ, Lin ZQ, Ma H. comparison of effects of median thoracotomy and thoracoscopic surgery on postoperative cardiopulmonary function in patients with mitral regurgitation. South China J Cardiovasc Dis, 2024, 30(3): 286-291.
|
13. |
Jammer I, Wickboldt N, Sander M, et al. standards for definitions and use of outcome measures for clinical effectiveness research in perioperative medicine: European perioperative clinical outcome (EPCO) definitions. Eur J Anaesthesiol, 2015, 32(2): 88-105.
|
14. |
Tibshirani R. regression shrinkage and selection via the LASSO. J R Stat Soc Series B Stat Methodol, 2018, 58(1): 267-288.
|
15. |
Ross R, Blair SN, Arena R, et al. importance of assessing cardiorespiratory fitness in clinical practice: A case for fitness as a clinical vital sign: A scientific statement from the american heart association. Circulation, 2016, 134(24): e653-e699.
|
16. |
俞剑昀, 孙兴国, 卢琳, 等. 心肺运动试验(CPET)精准预测功能状态良好的肺切除手术患者的术后并发症风险. 中国应用生理学杂志, 2021, 37(2): 195-201.Yu JY, Sun XG, Lu L, et al. cardiopulmonary exercise test accurately prognoses risk of postoperative complications in patients undergoing lung resection in good functional status. Chin J Appl Physiol, 2021, 37(2): 195-201.
|
17. |
AB, CP, RB. beyond peak vo2: ventilatory inefficiency (VE/VCO2 slope) measured during cardiopulmonary exercise test to refine risk stratification in lung resection candidates. Eur J Cardiothorac Surg, 2010, 38(1): 19-20.
|
18. |
Brat K, Homolka P, Merta Z, et al. prediction of postoperative complications: Ventilatory efficiency and rest end-tidal carbon dioxide. Ann Thorac Surg, 2023, 115(5): 1305-1311.
|
19. |
张耀莹, 张淼, 陈伟, 等. 心肺运动试验在肺癌患者术后肺部并发症列线图预后预测模型建立中的应用. 中国康复医学杂志, 2023, 38(12): 1689-1695.Zhang YY, Zhang M, Chen W, et al. application of cardiopulmonary exercise test in the establishment of a nomogram prognostic prediction model for postoperative pulmonary complications in patients with lung cancer. Chin J Rehabil Med, 2023, 38(12): 1689-1695.
|
20. |
任梦怡, 李瑾, 张明, 等. 心肺运动试验在食管癌患者术后并发症预测中应用的回顾性队列研究. 中国胸心血管外科临床杂志, 2024, 31(8): 1148-1155.Ren MY, Li J, Zhang M, et al. predictive value of cardiopulmonary exercise test in the postoperative complications in patients with esophageal cancer: A retrospective cohort study. Chin J Clin Thorac Cardiovasc Surg, 2024, 31(8): 1148-1155.
|
21. |
中华医学会, 中华医学会杂志社, 中华医学会全科医学分会, 等. 中国常规肺功能检查基层指南 (2024年). 中华全科医师杂志, 2025, 24(2): 121-137.Chinese Medical Association, Chinese Medical Association Publishing House, Chinese Society of General Practice, et al. Chinese guideline for routine pulmonary function tests in primary care (2024). Chin J Gen Pract, 2025, 24(2): 121-137.
|
22. |
Licker M, Karenovics W, Diaper J, et al. short-term preoperative high-intensity interval training in patients awaiting lung cancer surgery: A randomized controlled trial. J Thorac Oncol, 2017, 12(2): 323-333.
|
23. |
Siddiqi AK, Shahzad M, Kumar A, et al. the efficacy of inspiratory muscle training in improving clinical outcomes in heart failure patients: An updated systematic review and meta-analysis. J Cardiol, 2025, S0914-5087(25): 00016-4.
|
24. |
张耀莹, 李瑾, 高民, 等. 探讨肺癌患者胸腔镜肺切除术后肺部并发症发生的影响因素. 中国康复, 2021, 36(6): 348-352.Zhang YY, Li J, Gao M, et al. influencing factors of pulmonary complications after thoracoscopic pneumonectomy in patients with lung cancer. Chin J Rehabil, 2021, 36(6): 348-352.
|
25. |
Hauschild AC, Lemanczyk M, Matschinske J, et al. federated random forests can improve local performance of predictive models for various healthcare applications. Bioinformatics, 2022, 38(8): 2278-2886.
|