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Longitudinal patterns of cancer patient reported outcomes in end of life care predict survival

机译：癌症患者的纵向模式报告了临终护理的结局可预测生存

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摘要

PurposePatients with advanced cancer typically demonstrate sharp deterioration in physical function and psychological status during the last months of life. This study evaluates the relationship between survival in patients with advanced cancer and longitudinal assessment of anxiety, depression, fatigue, pain interference, and/or physical function using the US National Institute of Health Patient Reported Outcomes Information System.

机译：目的晚期癌症患者通常在生命的最后几个月表现出身体机能和心理状况的急剧恶化。这项研究使用美国国立卫生研究院患者报告结果信息系统评估了晚期癌症患者的生存率与对焦虑，抑郁，疲劳，疼痛干扰和/或身体功能的纵向评估之间的关系。

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期刊名称 Springer Open Choice
作者
George J. Stukenborg; Leslie J. Blackhall; James H. Harrison; Patrick M. Dillon; Paul W. Read;
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作者单位

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年(卷),期 -1(24),5
年度 -1
页码 2217–2224
总页数 8
原文格式 PDF
正文语种
中图分类外科学;
关键词
Cancer EHR PROMIS;

机译：癌症;EHR;PROMIS;

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专利

1. Longitudinal patterns of cancer patient reported outcomes in end of life care predict survival [J] . Stukenborg George J., Blackhall Leslie J., Harrison James H., Supportive care in cancer: official journal of the Multinational Association of Supportive Care in Cancer . 2016,第5期

机译：癌症患者的纵向模式报告了临终护理的结局可预测生存
2. A Patient-Reported Outcome Instrument to Assess Symptom Burden and Predict Survival in Patients with Advanced Cancer: Flipping the Paradigm to Improve Timing of Palliative and End-of-Life Discussions and Reduce Unwanted Health Care Costs [J] . Goldberg Stuart L., Paramanathan Dhakshila, Khoury Raya, The oncologist . 2019,第1期

机译：患者报告的结果工具评估患有晚期癌症患者的症状负担和预测生存期：翻转范式以改善姑息和生活结束讨论的时间，减少不必要的医疗费用
3. A Patient-Reported Outcome Instrument to Assess Symptom Burden and Predict Survival in Patients with Advanced Cancer: Flipping the Paradigm to Improve Timing of Palliative and End-of-Life Discussions and Reduce Unwanted Health Care Costs [J] . Stuart L. Goldberg, Sukhi Kaur, Scott Paddock, The oncologist . 2019,第1期

机译：患者报告的结果工具评估患有晚期癌症患者的症状负担和预测生存期：翻转范式以改善姑息和生活结束讨论的时间，减少不必要的医疗费用
4. Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT) [C] . Jin-ah Sim, Young Ho Yun MEDINFO . 2019

机译：使用患者报告的结果（PRO）测量来预测无病的肺癌存活，并使用五种机器学习技术（MLT）进行比较
5. Longitudinal predictors of quality of life in adolescent survivors of childhood cancer: A report from the childhood cancer survivor study. [D] . Russell, Claire C. 2014

机译：儿童癌症青少年幸存者生活质量的纵向预测因素：儿童癌症幸存者研究的报告。
6. A Patient‐Reported Outcome Instrument to Assess Symptom Burden and Predict Survival in Patients with Advanced Cancer: Flipping the Paradigm to Improve Timing of Palliative and End‐of‐Life Discussions and Reduce Unwanted Health Care Costs [O] . Stuart L. Goldberg, Dhakshila Paramanathan, Raya Khoury, 2019

机译：患者报告的评估晚期癌症患者症状负担和预测生存的结果工具：翻转范例以改善姑息性和临终讨论的时机并减少不必要的医疗保健费用
7. Longitudinal patterns of cancer patient reported outcomes in end of life care predict survival [O] . 2016

机译：癌症患者的纵向模式报告了临终护理的结局可预测生存

Longitudinal patterns of cancer patient reported outcomes in end of life care predict survival

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