Sung H, Ferlay J, Siegel RL et al (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 71:209–249. https://doi.org/10.3322/caac.21660
Article CAS PubMed Google Scholar
Tian X, Jin Y, Chen H, Tang L, Jiménez-Herrera MF (2021) Relationships among social support, coping style, perceived stress, and psychological distress in chinese lung cancer patients. Asia Pac J Oncol Nurs 8:172–179. https://doi.org/10.4103/apjon.apjon_59_20
Article PubMed PubMed Central Google Scholar
Tian X, Liao Z, Yi L et al (2023) Efficacy and mechanisms of 4-week MBSR on psychological distress in lung cancer patients: a single-center, single-blind, longitudinal, randomized controlled trial. Asia Pac J Oncol Nurs 10:100151. https://doi.org/10.1016/j.apjon.2022.100151
Chen H, Gao J, Xian Y (2021) Prevalence of psychological distress in patients with lung cancer: a meta-analysis [Chinese]. Mod Prev Med 48:3059–3064
Gui H, Chen X, Li L et al (2023) Psychological distress influences lung cancer: advances and perspectives on the immune system and immunotherapy. Int Immunopharmacol 121:110251. https://doi.org/10.1016/j.intimp.2023.110251
Article CAS PubMed Google Scholar
Tian X, Jimenez-Herrera MF (2023) Editorial: psychosocial rehabilitation for cancer patients. Front Psychol 14:1265258. https://doi.org/10.3389/fpsyg.2023.1265258
Article PubMed PubMed Central Google Scholar
Zhang Y, Zanos P, Jackson IL et al (2020) Psychological stress enhances tumor growth and diminishes radiation response in preclinical model of lung cancer. Radiother Oncol J Eur Soc Therapeut Radiol Oncol 146:126–135. https://doi.org/10.1016/j.radonc.2020.02.004
Tian X, Jin Y, Tang L et al (2021) Predicting the risk of psychological distress among lung cancer patients: development and validation of a predictive algorithm based on sociodemographic and clinical factors. Asia Pac J Oncol Nurs 8:403–412. https://doi.org/10.4103/apjon.apjon-2114
Article PubMed PubMed Central Google Scholar
Lv XQ, Wang BQ, Tong HH et al (2022) Predictive Model of Psychological Distress in Patients With Lung Cancer: A Cross-sectional Study. Cancer Nurs 45:E59-e67. https://doi.org/10.1097/ncc.0000000000000837
Wu X, Zhai F, Chang A et al (2023) Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus. J Endocrinol Invest 46:2535–2546. https://doi.org/10.1007/s40618-023-02109-0
Article CAS PubMed Google Scholar
Zhang X, Ren H, Gao L et al (2023) Identifying the predictors of severe psychological distress by auto-machine learning methods. Inform Med Unlocked 39:101258. https://doi.org/10.1016/j.imu.2023.101258
Article PubMed PubMed Central Google Scholar
Obermeyer Z, Emanuel EJ (2016) Predicting the future - big data, machine learning, and clinical medicine. N Engl J Med 375:1216–1219. https://doi.org/10.1056/NEJMp1606181
Article PubMed PubMed Central Google Scholar
Gao L, Cao Y, Cao X et al (2023) Machine learning-based algorithms to predict severe psychological distress among cancer patients with spinal metastatic disease. Spine J 23:1255–1269. https://doi.org/10.1016/j.spinee.2023.05.009
Cataldo JK, Slaughter R, Jahan TM, Pongquan VL, Hwang WJ (2011) Measuring stigma in people with lung cancer: psychometric testing of the Cataldo lung cancer stigma scale. Oncol Nurs Forum 38:E46-54. https://doi.org/10.1188/11.Onf.E46-e54
Article PubMed PubMed Central Google Scholar
Rajkomar A, Dean J, Kohane I (2019) Machine learning in medicine. N Engl J Med 380:1347–1358. https://doi.org/10.1056/NEJMc1906060
Watson DS, Krutzinna J, Bruce IN, et al. (2019) Clinical applications of machine learning algorithms: beyond the black box. BMJ 364 https://doi.org/10.1136/bmj.l886
Lundberg SM, Nair B, Vavilala MS et al (2018) Explainable machine-learning predictions for the prevention of hypoxaemia during surgery. Nat Biomed Eng 2:749–760. https://doi.org/10.1038/s41551-018-0304-0
Article PubMed PubMed Central Google Scholar
Hu C, Li L, Huang W et al (2022) Interpretable machine learning for early prediction of prognosis in sepsis: a discovery and validation study. Infect Dis Ther 11:1117–1132. https://doi.org/10.1007/s40121-022-00628-6
Article PubMed PubMed Central Google Scholar
Vasquez MM, Hu C, Roe DJ et al (2016) Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application. BMC Med Res Methodol 16:154. https://doi.org/10.1186/s12874-016-0254-8
Article CAS PubMed PubMed Central Google Scholar
von Elm E, Altman DG, Egger M et al (2014) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Int J Surg (London, England) 12:1495–1499. https://doi.org/10.1016/j.ijsu.2014.07.013
Tian X, Jin Y, Chen H, Tang L, Jiménez-Herrera MF (2021) The positive effect of social support on psychological distress among Chinese lung cancer patients: The mediating role of self-esteem. Nurs Open 8:1642–1651. https://doi.org/10.1002/nop2.793
Article PubMed PubMed Central Google Scholar
Tian X, Tang L, Yi LJ et al (2022) Mindfulness affects the level of psychological distress in patients with lung cancer via illness perception and perceived stress: a cross-sectional survey study. Front Psychol 13:857659. https://doi.org/10.3389/fpsyg.2022.857659
Article PubMed PubMed Central Google Scholar
Riba MB, Donovan KA, Andersen B et al (2019) Distress management, version 3.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 17:1229–1249. https://doi.org/10.6004/jnccn.2019.0048
Article PubMed PubMed Central Google Scholar
Bui QU, Ostir GV, Kuo YF, Freeman J, Goodwin JS (2005) Relationship of depression to patient satisfaction: findings from the barriers to breast cancer study. Breast Cancer Res Treat 89:23–28. https://doi.org/10.1007/s10549-004-1005-9
Hong J, Wei Z, Wang W (2015) Preoperative psychological distress, coping and quality of life in Chinese patients with newly diagnosed gastric cancer. J Clin Nurs 24:2439–2447. https://doi.org/10.1111/jocn.12816
Donovan KA, Grassi L, McGinty HL, Jacobsen PB (2014) Validation of the distress thermometer worldwide: state of the science. Psychooncology 23:241–250. https://doi.org/10.1002/pon.3430
Tang LL, Zhang YN, Pang Y, Zhang HW, Song LL (2011) Validation and reliability of distress thermometer in Chinese cancer patients. Chin J Cancer Res 23:54–58. https://doi.org/10.1007/s11670-011-0054-y
Article CAS PubMed PubMed Central Google Scholar
YU Y, Wang L, Zhang N, et al. (2017) Psychometric evaluation of the Chinese version of the cataldo lung cancer stigma scale (CLCSS). Chinese Journal of Nursing: 636–640
Wienman J, Petrie KJ, Moss-Morris R, Horne R (1996) The Illness Perception Questionnaire: a new method for assessing illness perceptions. Psychol Health 11:431–446
Broadbent E, Petrie KJ, Main J, Weinman J (2006) The brief illness perception questionnaire. J Psychosom Res 60:631–637. https://doi.org/10.1016/j.jpsychores.2005.10.020
Zhang N, Fielding R, Soong I et al (2017) Psychometric assessment of the Chinese version of the brief illness perception questionnaire in breast cancer survivors. PLoS ONE 12:e0174093. https://doi.org/10.1371/journal.pone.0174093
Article CAS PubMed PubMed Central Google Scholar
Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA (1990) Psychometric characteristics of the multidimensional scale of perceived social su
Comments (0)