Development and validation of a prognostic nomogram for terminally Ill cancer patients

Journal of the National Cancer Institute

Volumn 103, Issue 21, 2011, Pages 1613-1620

  Feliu, Jaime ^a   Jiménez Gordo, Ana María ^b   Madero, Rosario ^d   Rodríguez Aizcorbe, José Ramón ^c   Espinosa, Enrique ^a   Castro, Javier ^a   Acedo, Jesús Domingo ^a   Martínez, Beatriz ^a   Alonso Babarro, Alberto ^a   Molina, Raquel ^a   Cámara, Juan Carlos ^e   García Paredes, María Luisa ^f   González Barón, Manuel ^a  

^a HOSPITAL UNIVERSITARIO LA PAZ   (Spain)

^b HOSPITAL UNIVERSITARIO DE GETAFE   (Spain)

^c Geriatric Department   (Spain)

^d HOSPITAL UNIVERSITARIO PRÍNCIPE DE ASTURIAS   (Spain)

^e HOSPITAL UNIVERSITARIO FUNDACIÓN ALCORCÓN   (Spain)

^f HOSPITAL RAMÓN Y CAJAL   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALBUMIN; LACTATE DEHYDROGENASE;

ACCURACY; ADOLESCENT; ADULT; AGED; ALBUMIN BLOOD LEVEL; AREA UNDER THE CURVE; ARTICLE; BOOTSTRAPPING; CALIBRATION; CANCER PATIENT; CANCER SURVIVAL; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; EXTERNAL VALIDITY; FEMALE; HUMAN; LACTATE DEHYDROGENASE BLOOD LEVEL; LIFE EXPECTANCY; LYMPHOCYTE COUNT; MAJOR CLINICAL STUDY; MALE; NOMOGRAM; OVERALL SURVIVAL; PRIORITY JOURNAL; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; RECEIVER OPERATING CHARACTERISTIC; SURVIVAL RATE; SURVIVAL TIME; TERMINALLY ILL PATIENT; VALIDATION PROCESS;

ACTIVITIES OF DAILY LIVING; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BIOLOGICAL MARKERS; COGNITION DISORDERS; DISEASE PROGRESSION; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; LIFE EXPECTANCY; LYMPHOCYTE COUNT; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEOPLASM STAGING; NEOPLASMS; NOMOGRAMS; PALLIATIVE CARE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; RISK ASSESSMENT; RISK FACTORS; SPAIN; TERMINALLY ILL; TIME FACTORS; WEIGHT LOSS;

EID: 80655149495     PISSN: 00278874     EISSN: 14602105     Source Type: Journal    
DOI: 10.1093/jnci/djr388     Document Type: Article

References (38)

1. Earle CC, Neville BA, Landrum MB, Ayanian JZ, Block SD, Weeks JC. Trends in the aggressiveness of cancer care near the end of life. J Clin Oncol. 2004;22(2):315-321. (Pubitemid 41095097)
2. Steinhauser KE, Christakis NA, Clipp EC, et al. Preparing for the end of life: preferences of patients, families, physicians and other care providers. J Pain and Symptom Manage. 2001;22(3):727-737. (Pubitemid 32776585)
3. Ripamonti CI, Farina G, Garassino C. Predictive models in palliative care. Cancer. 2009;115(13 suppl):3128-3134.
4. Glare P, Sinclair C, Downing M, Stone P, Maltoni M, Vigano A. Predicting survival in patients with advanced disease. Eur J Cancer. 2008;44(8):1146-1156.
5. Stone PC, Lund S. Predicting prognosis in patients with advanced cancer. Ann Oncol. 2007;18(6):971-976. (Pubitemid 47053776)
6. Pirovano M, Maltoni M, Nanni O, et al. A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. J Pain and Symptom Manage. 1999;17(4):231-239. (Pubitemid 29159965)
7. Mystakidou K, Tsilika E, Parpa E, Galanos A, Vlahos L. Brief cognitive assessment of cancer patients: evaluation of the Mini-Mental State Examination (MMSE) psychometric properties. Psychooncology. 2007;16(4):352-357. (Pubitemid 46681105)
8. Zung WW. A rating instrument for anxiety disorders. Psychosomatics. 1971;12(6):371-379.
9. Davidson J, Turnbull C, Strickland R, Miller R, Graves K. The Montgomery-Asberg depression scale: reliability and validity. Acta Psychiatr Scand. 1986;73(5):544-548. (Pubitemid 16091046)
10. Roila F, Lupattelli M, Sassi M, et al. Intra and interobserver variability in cancer patients' performance status assessed according to Karnofsky and ECOG scales. Ann Oncol. 1991;2(6):437-439.
11. Shelkey M, Wallace M. Katz Index of independence in activities of daily living. J Gerontol Nurs. 1999;25(3):8-9.
12. Spitzer WO, Dobson AJ, Hall A, et al. Measuring the quality of life of cancer patients: a concise QL-index for use by physicians. J Chron Dis. 1981;34(12):585-597. (Pubitemid 12237535)
13. Harrell FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361-387. (Pubitemid 26072233)
14. Royston P, Sauerbrei W. A new measure of prognostic separation in survival data. Stat Med. 2004;23(5):723-748. (Pubitemid 38279510)
15. Maltoni M, Caraceni A, Brunelli C, et al. 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. 2005;23(25):6240-6248.
16. Reuben DB, Mor V, Hiris J. Clinical symptoms and length of survival in patients with terminal cancer. Arch Intern Med. 1988;148(7):1586-1591.
17. Yates JW, Chalmer B, McKegney FP. Evaluation of patients with advanced cancer using the Karnofsky performace status. Cancer. 1980;45(8):2220-2224. (Pubitemid 10150440)
18. Vigano A, Bruera E, Jhangri GS, Newman SC, Fields AL, Suarez-Almazor ME. Clinical survival predictors in patients with advanced cancer. Arch Intern Med. 2000;160(6):861-868. (Pubitemid 30165248)
19. Walenta S, Mueller-Klieser WF. Lactate: mirror and motor of tumor malignancy. Semin Radiat Oncol. 2004;14(3):267-274. (Pubitemid 38903231)
20. Espinosa E, Feliu J, Zamora P, et al. Serum albumin and other prognostic factors related to response and survival in patients with advanced non-small cell lung cancer. Lung Cancer. 1995;12(1-2):67-76.
21. Schneider D, Halperin R, Halperin D, Bukovsky I, Hadas E. Prediction on the survival of patients with advanced ovarian cancer according to a risk model based on a scoring system. Eur J Gynaecol Oncol. 1998;19(6):547-552. (Pubitemid 29008295)
22. Hendrik-Tobias A, Olmos D, Ang JE, et al. 90-Days mortality in patients treated within the context of a phase-I trial: how should we identify patients who should not go on trial? Eur J Cancer. 2008;44(11):1536-1540.
23. Suh SY, Ahn HY. Lactate dehydrogenase as a prognostic factor for survival time in terminally ill cancer patients: a preliminary study. Eur J Cancer. 2007;43(6):1051-1059.
24. Herrmann FR, Safran C, Levkoff SE, Minaker KL. Serum albumin level on admission as a predictor of death, length of stay, and readmission. Arch Intern Med. 1992;152(1):125-130.
25. Ventafridda V, De Conno F, Saita L, Ripamonti C, Baronzio GF. Leukocyte-lymphocytes ratio: a prognostic indicator of survival in cachectic cancer patients. Ann Oncol. 1991;2(3):196.
26. Maltoni M, Pirovano M, Nanni O, et al. Biological indices predictive of survival in 519 terminally ill cancer patients. J Pain Symptom Manage. 1997;13(4):1-9. (Pubitemid 27063350)
27. Vigano A, Dorgan M, Buckingham J, Bruera E, Suarez-Almazor ME. Survival prediction in terminal cancer patients: a systematic review of the medical literature. Palliat Med. 2000;14(5):363-374.
28. Graesslin O, Abdulkarim BS, Coutant C, et al. Nomogram to predict subsequent brain metastasis in patients with metastatic breast cancer. J Clin Oncol. 2010;28(12):2032-2037.
29. Motzer RJ, Bukowski RM, Figlin RA, et al. Prognostic nomogram for sunitinib in patients with metastatic renal cell carcinoma. Cancer. 2008;113(7):1552-1558.
30. Morita T, Tsunoda J, Inoue S, et al. The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer. 1999;7(3):128-133. (Pubitemid 29187559)
31. Chuang RB, Hu WY, Chiu TY, Cheng YR, Chen CY, Wakai S. Prediction of survival in terminal patients in Taiwan: constructing a prognostic scale. J Pain Symptom Manage. 2004;28(3):115-122.
32. Yun YH, Heo DS, Heo BY, Yoo TW, Bae JM, Ahn SH. Development of terminal cancer prognostic score as an index in terminally ill cancer patients. Oncol Rep. 2001;8(4):795-800. (Pubitemid 33758125)
33. Bruera E, Miller MJ, Kuehn N, MacEachern T, Hanson J. Estimate of survival of patients admitted to a palliative care unit: a prospective study. J Pain Symptom Manage. 1992;7(2):82-86.
34. Maltoni M, Nanni O, Pirovano M, et al. Successful validation of the palliative prognostic score in terminally ill cancer patients. J Pain Symptom Manage. 1999;17(4):240-247. (Pubitemid 29159966)
35. Gold SJ, Gönen M, Gutiérrez A, et al. Development and validation of a prognosis nomogram for recurrence-free survival after complete surgical resection of localised primary gastrointestinal stromal tumour: a retrospective analysis. Lancet Oncol. 2009;10(11):1045-1052.
36. Heyse-Moore LH, Johnson-Bell VE. Can doctors accurately predict the life expectancy of patients with terminal cancer? Palliat Med. 1987;1(1):165-166.
37. Christakis NA, Lamont EB. Extent and determinants of error in doctor's prognoses in terminally ill patients: prospective cohort study. BMJ. 2000;320(7233):469-473.
38. Oxenham D, Cornbleet MA. Accuracy of prediction of survival by different professional groups in a hospice. Palliat Med. 1998;12(2):117-118. (Pubitemid 28165666)