Recursive Partitioning Analysis of Prognostic Factors for Survival in Patients With Advanced Cancer

International Journal of Radiation Oncology Biology Physics

Volumn 73, Issue 4, 2009, Pages 1169-1176

  Chow, Edward ^a   Abdolell, Mohamed ^a   Panzarella, Tony ^b   Harris, Kristin ^a   Bezjak, Andrea ^b   Warde, Padraig ^b   Tannock, Ian ^b  

^a DEPARTMENT OF RADIATION ONCOLOGY   (Canada)

^b PRINCESS MARGARET HOSPITAL   (Canada)

Author keywords

Advanced cancer; Palliative radiotherapy; Predictive model; Recursive partitioning; Survival

Indexed keywords

PATHOLOGY; PINCH EFFECT; PREDICTIVE CONTROL SYSTEMS; PROGRAM DIAGNOSTICS; RECURSIVE FUNCTIONS; REGRESSION ANALYSIS;

ADVANCED CANCER; PALLIATIVE RADIOTHERAPY; PREDICTIVE MODEL; RECURSIVE PARTITIONING; SURVIVAL;

RADIOTHERAPY;

ADULT; ADVANCED CANCER; AGED; ARTICLE; CANCER LOCALIZATION; CANCER PATIENT; CANCER SURVIVAL; FEMALE; HUMAN; KARNOFSKY PERFORMANCE STATUS; MAJOR CLINICAL STUDY; MALE; METASTASIS; OUTCOME ASSESSMENT; PALLIATIVE THERAPY; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; RISK FACTOR; SURVIVAL TIME; TREATMENT OUTCOME;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; KARNOFSKY PERFORMANCE STATUS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEOPLASMS; PALLIATIVE CARE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSTATIC NEOPLASMS; REGRESSION ANALYSIS; YOUNG ADULT;

EID: 61349139958     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2008.05.067     Document Type: Article

References (21)

1. Lamont E., and Christakis N.A. Some elements of prognosis in terminal cancer. Oncology 13 (1999) 1165-1170
2. Breiman L., Friedman J.J., Olshen R.A., et al. Classification and regression trees (1984), Wadsworth, Monterey
3. LeBlanc M., and Crowley J. Relative risk trees for censored survival data. Biometrics 48 (1992) 411-425
4. Chow E., Fung K., Panzarella T., et al. A predictive model for survival in metastatic cancer patients attending an outpatient palliative radiotherapy clinic. Int J Radiat Oncol Biol Phys 53 (2002) 1291-1302
5. Danjoux C., Chow E., Hayter C., et al. An innovative Rapid Response Radiotherapy Program to reduce waiting time for palliative radiotherapy. Support Care Cancer 14 (2006) 38-43
6. Bruera E., Kuehn N., Miller M., et al. The Edmonton Symptom Assessment System (ESAS): A simple method for the assessment of palliative care patients. J Palliat Care 7 (1991) 6-9
7. Harrell Jr. F.E., Lee K.L., and Mark D.B. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15 (1996) 361-387
8. Altman D.G., and Royston P. What do we mean by validating a prognostic model?. Stat Med 19 (2000) 453-473
9. Royston P., and Sauerbrei W. A new measure of prognostic separation in survival data. Stat Med 23 (2004) 723-748
10. Marubini E., and Valsecchi M.G. Analyzing survival data for clinical trials and observational studies (1996), John Wiley & Sons, England
11. Feinstein A.R., Wells C.K., and Walter S.D. A comparison of multivariable mathematical methods for predicting survival. J Clin Epidemiol 43 (1990) 339-372
12. Kattan M. Comparison of Cox regression with other methods for determining prediction models and nomograms. J Urol 170 (2003) S6-S10
13. Sargent D.J. Comparison of artificial neural networks with other statistical approaches: Results from medical data sets. Cancer 91 (2001) 1636
14. Schwarzer G., and Schumacher M. Artificial neural networks for diagnosis and prognosis in prostate cancer. Semin Urol Oncol 20 (2002) 89
15. Toscani F., and Brunelli C. Predicting survival in terminal cancer patients: Clinical observation or quality-of-life evaluation?. Palliative Med 19 (2005) 220-227
16. Chow E., Harth T., Hruby G., et al. How accurate are physicians' clinical prediction of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systemic review. Clin Oncol 13 (2001) 209-218
17. Vigano A., Dorgan M., Buckingham J., et al. Survival prediction in terminal cancer patients: A systematic review of the medical literature. Palliative Med 14 (2000) 363-374
18. Glare P., Virik K., Jones M., et al. A systemic review of physicians' survival predictions in terminally ill cancer patients. BMJ 327 (2003) 1048-1049
19. 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 23 (2005) 6240-6248
20. Chow E., Davis L., Panzarella T., et al. Accuracy of survival prediction by palliative radiation oncologists. Int J Radiat Oncol Biol Phys 61 (2005) 870-873
21. Parkes C.M. Commentary: Prognoses should be based on proved indices not intuition. BMJ 19 (2000) 473