Prediction of survival in terminally ill cancer patients at the time of terminal cancer diagnosis
详细信息    查看全文
  • 作者:Yu Jung Kim (1) (2)
    Su-Jung Kim (1) (3)
    June Koo Lee (1)
    Won-Suk Choi (1)
    Jin Hyun Park (1) (4)
    Hee Jun Kim (5)
    Sung Hoon Sim (1)
    Keun-Wook Lee (1) (2)
    Se-Hoon Lee (1) (3)
    Jee Hyun Kim (1) (2)
    Dong-Wan Kim (1) (3)
    Jong Seok Lee (1) (2)
    Yung-Jue Bang (1) (3)
    Dae Seog Heo (1) (3)
  • 关键词:Terminally ill ; Terminal cancer ; Prognosis ; Prediction ; Survival
  • 刊名:Journal of Cancer Research and Clinical Oncology
  • 出版年:2014
  • 出版时间:September 2014
  • 年:2014
  • 卷:140
  • 期:9
  • 页码:1567-1574
  • 全文大小:402 KB
  • 参考文献:1. Aabom B, Kragstrup J, Vondeling H, Bakketeig LS, Stovring H (2005) Defining cancer patients as being in the terminal phase: who receives a formal diagnosis, and what are the effects? J Clin Oncol 23(30):7411-416 CrossRef
    2. Baile WF, Buckman R, Lenzi R, Glober G, Beale EA, Kudelka AP (2000) SPIKES-A six-step protocol for delivering bad news: application to the patient with cancer. Oncologist 5(4):302-11 heoncologist.5-4-302" target="_blank" title="It opens in new window">CrossRef
    3. Chow E, Abdolell M, Panzarella T, Harris K, Bezjak A, Warde P, Tannock I (2008) Predictive model for survival in patients with advanced cancer. J Clin Oncol 26(36):5863-869 CrossRef
    4. Christakis NA, Lamont EB (2000) Extent and determinants of error in doctors-prognoses in terminally ill patients: prospective cohort study. BMJ 320(7233):469-72 CrossRef
    5. Chuang RB, Hu WY, Chiu TY, Chen CY (2004) Prediction of survival in terminal cancer patients in Taiwan: constructing a prognostic scale. J Pain Symptom Manage 28(2):115-22 CrossRef
    6. Earle CC, Neville BA, Landrum MB, Ayanian JZ, Block SD, Weeks JC (2004) Trends in the aggressiveness of cancer care near the end of life. J Clin Oncol 22(2):315-21 CrossRef
    7. Feliu J, Jiménez-Gordo AM, Madero R, Rodríguez-Aizcorbe JR, Espinosa E, Castro J, Acedo JD, Martínez B, Alonso-Babarro A, Molina R, Cámara JC, García-Paredes ML, González-Barón M (2011) Development and validation of a prognostic nomogram for terminally ill cancer patients. J Natl Cancer Inst 103(21):1613-620 CrossRef
    8. Gabay C, Kushner I (1999) Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 340(6):448-54 CrossRef
    9. Glare PA, Eychmueller S, McMahon P (2004) Diagnostic accuracy of the palliative prognostic score in hospitalized patients with advanced cancer. J Clin Oncol 22(23):4823-828 CrossRef
    10. Glare P, Sinclair C, Downing M, Stone P, Maltoni M, Vigano A (2008) Predicting survival in patients with advanced disease. Eur J Cancer 44(8):1146-156 CrossRef
    11. Guthrie GJ, Charles KA, Roxburgh CS, Horgan PG, McMillan DC, Clarke SJ (2013) The systemic inflammation-based neutrophil-lymphocyte ratio: experience in patients with cancer. Crit Rev Oncol Hematol 88(1):218-30 CrossRef
    12. Gwilliam B, Keeley V, Todd C, Gittins M, Roberts C, Kelly L, Barclay S, Stone PC (2011) Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study. BMJ 343:d4920 CrossRef
    13. Harrell FE Jr, Lee KL, Mark DB (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15(4):361-87 CrossRef
    14. Hui D, Mori M, Parsons HA, Kim SH, Li Z, Damani S, Bruera E (2012) The lack of standard definitions in the supportive and palliative oncology literature. J Pain Symptom Manage 43(3):582-92 CrossRef
    15. Hyodo I, Morita T, Adachi I, Shima Y, Yoshizawa A, Hiraga K (2010) Development of a predicting tool for survival of terminally ill cancer patients. Jpn J Clin Oncol 40(5):442-48 CrossRef
    16. Krishnan M, Temel JS, Wright AA, Bernacki R, Selvaggi K, Balboni T (2013) Predicting life expectancy in patients with advanced incurable cancer: a review. J Support Oncol 11(2):68-4 CrossRef
    17. Lingjun Z, Jing C, Jian L, Wee B, Jijun Z (2009) Prediction of survival time in advanced cancer: a prognostic scale for Chinese patients. J Pain Symptom Manage 38(4):578-86 CrossRef
    18. Mack JW, Cronin A, Keating NL, Taback N, Huskamp HA, Malin JL, Earle CC, Weeks JC (2012) Associations between end-of-life discussion characteristics and care received near death: a prospective cohort study. J Clin Oncol 30(35):4387-395 CrossRef
    19. Maltoni M, Caraceni A, Brunelli C, Broeckaert B, Christakis N, Eychmueller S, Glare P, Nabal M, Viganò A, Larkin P, De Conno F, Hanks G, Kaasa S (2005) Prognostic factors in advanced cancer patients: evidence-based clinical recommendations—a study by the Steering Committee of the European Association for Palliative Care. J Clin Oncol 23(25):6240-248 CrossRef
    20. Martin L, Watanabe S, Fainsinger R, Lau F, Ghosh S, Quan H, Atkins M, Fassbender K, Downing GM, Baracos V (2010) Prognostic factors in patients with advanced cancer: use of the patient-generated subjective global assessment in survival prediction. J Clin Oncol 28(28):4376-383 CrossRef
    21. Matsuyama R, Reddy S, Smith TJ (2006) Why do patients choose chemotherapy near the end of life? A review of the perspective of those facing death from cancer. J Clin Oncol 24(21):3490-496 CrossRef
    22. McMillan DC (2008) An inflammation-based prognostic score and its role in the nutrition-based management of pateints with cancer. Proc Nutr Soc 67:257-62 CrossRef
    23. Morita T, Tsunoda J, Inoue S, Chihara S (1999) The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Supp Care Cancer 7(3):128-33 CrossRef
    24. Pirovano M, Maltoni M, Nanni O, Marinari M, Indelli M, Zaninetta G, Petrella V, Barni S, Zecca E, Scarpi E, Labianca R, Amadori D, Luporini G (1999) A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. Italian Multicenter and Study Group on Palliative Care. J Pain Symptom Manage 17(4):231-39 CrossRef
    25. Steinhauser KE, Christakis NA, Clipp EC, McNeilly M, Grambow S, Parker J, Tulsky JA (2001) Preparing for the end of life: preferences of patients, families, physicians, and other care providers. J Pain Symptom Manage 22(3):727-37 CrossRef
    26. Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD (2001) Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 54(8):774-81 CrossRef
    27. Stone PC, Lund S (2006) Predicting prognosis in patients with advanced cancer. Ann Oncol 18(6):971-76 CrossRef
    28. Suh SY, Ahn HY (2007) A prospective study on C-reactive protein as a prognostic factor for survival time of terminally ill cancer patients. Supp Care Cancer 15(6):613-20 CrossRef
    29. Suh SY, Choi YS, Shim JY, Kim YS, Yeom CH, Kim D, Park SA, Kim S, Seo JY, Kim SH, Kim D, Choi SE, Ahn HY (2010) Construction of a new, objective prognostic score for terminally ill cancer patients: a multicenter study. Supp Care Cancer 18(2):151-57 CrossRef
    30. Vigano A, Donaldson N, Higginson IJ, Bruera E, Mahmud S, Suarez-Almazor M (2004) Quality of life and survival prediction in terminal cancer patients: a multicenter study. Cancer 101(5):1090-098 CrossRef
    31. Yun YH, Heo DS, Heo BY, Yoo TW, Bae JM, Ahn SH (2001) Development of terminal cancer prognostic score as an index in terminally ill cancer patients. Oncol Rep 8(4):795-00
    32. Yun YH, Kwon YC, Lee MK, Lee WJ, Jung KH, Do YR, Kim S, Heo DS, Choi JS, Park SY (2010) Experiences and attitudes of patients with terminal cancer and their family caregivers toward the disclosure of terminal illness. J Clin Oncol 28(11):1950-957 CrossRef
    33. Yun YH, Lee MK, Kim SY, Lee WJ, Jung KH, Do YR, Kim S, Heo DS, Choi JS, Park SY, Jeong HS, Kang JH, Kim SY, Ro J, Lee JL, Park SR, Park S (2011) Impact of awareness of terminal illness and use of palliative care or intensive care unit on the survival of terminally ill patients with cancer: prospective cohort study. J Clin Oncol 29(18):2474-480 CrossRef
  • 作者单位:Yu Jung Kim (1) (2)
    Su-Jung Kim (1) (3)
    June Koo Lee (1)
    Won-Suk Choi (1)
    Jin Hyun Park (1) (4)
    Hee Jun Kim (5)
    Sung Hoon Sim (1)
    Keun-Wook Lee (1) (2)
    Se-Hoon Lee (1) (3)
    Jee Hyun Kim (1) (2)
    Dong-Wan Kim (1) (3)
    Jong Seok Lee (1) (2)
    Yung-Jue Bang (1) (3)
    Dae Seog Heo (1) (3)

    1. Department of Internal Medicine, Seoul National University Hospital, Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea
    2. Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    3. Seoul National University Hospital, Seoul, Republic of Korea
    4. Seoul Municipal Boramae Hospital, Seoul, Republic of Korea
    5. Chung-Ang University Hospital, Seoul, Republic of Korea
  • ISSN:1432-1335
文摘
Purpose We aimed to investigate the prognostic factors that can predict terminal stage survival (TSS) at the time of terminal cancer diagnosis. Methods We prospectively evaluated 141 patients immediately after the diagnosis of terminal cancer by their attending oncologists. A total of 32 factors, including performance status, clinical prediction of survival, time to terminal cancer (TTC), clinical symptoms, signs, and laboratory tests including the neutrophil–lymphocyte ratio (NLR), were analyzed. TSS was defined as the time from the diagnosis of terminal cancer to death. Results The mean age of the 141 patients studied was 58.7?years, and 53 were female (38?%). The median TSS was 1.7?months (95?% confidence interval [CI] 1.43-.97). In the univariate analyses, the TSS was significantly associated with 16 of the 32 factors tested. In the multivariate analysis, a lower Karnofsky performance status (KPS), a shorter TTC (C-reactive protein (CRP) level (?0?mg/dL) were independently associated with a poorer prognosis. A scoring system (scale, 0-) developed based on the multivariate analysis could be used to classify terminal cancer patients into better (0- points; TSS 3.9?months), intermediate (3- points; TSS 1.7?months), or worse (5- points; TSS 0.9?month, P? Conclusion The median TSS after the diagnosis of terminal cancer in advanced cancer patients was 1.7?months. The scoring system using KPS, TTC, NLR, and CRP could predict TSS in these patients.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700