A clinical decision support tool to predict survival in cancer patients beyond 120 days after palliative chemotherapy

Journal of Palliative Medicine

Volumn 15, Issue 8, 2012, Pages 863-869

  Ng, Terence ^a   Chew, Lita ^a,b   Yap, Chun Wei ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b DIVISION OF MEDICAL ONCOLOGY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; ALBUMIN;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; CANCER CHEMOTHERAPY; CANCER PALLIATIVE THERAPY; CANCER PATIENT; CANCER SURVIVAL; DATA MINING; HUMAN; MAJOR CLINICAL STUDY; METASTASIS; NEUTROPHIL COUNT; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ANTINEOPLASTIC AGENTS; BAYES THEOREM; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; DISEASE PROGRESSION; HUMANS; LIFE EXPECTANCY; NEOPLASMS; NEURAL NETWORKS (COMPUTER); NOMOGRAMS; PALLIATIVE CARE; PROGNOSIS; QUALITY OF LIFE; RETROSPECTIVE STUDIES; SICKNESS IMPACT PROFILE; SINGAPORE;

EID: 84864609657     PISSN: 10966218     EISSN: 15577740     Source Type: Journal    
DOI: 10.1089/jpm.2011.0417     Document Type: Article

References (27)

1. Browner I, Carducci MA: Palliative chemotherapy: Historical perspective, applications, and controversies. Semin Oncol 2005;32(2):145-155.
2. McCall K, Johnston B: Treatment options in end-of-life care: The role of palliative chemotherapy. Int J Palliat Nurs 2007;13:486-488.
3. Glare P, Virik K, Jones M, Hudson M, Eychmuller S, Simes J, Christakis N: A systematic review of physicians' survival predictions in terminally ill cancer patients. BMJ 2003; 327:195-198.
4. Gripp S, Moeller S, Bolke E, Schmitt G, Matuschek C, Asgari S, Asgharzadeh F, Roth S, Budach W, Franz M, Willers R: Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol 2007;25:3313-3320.
5. Chow E, Harth T, Hruby G, Finkelstein J, Wu J, Danjoux C: How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. Clin Oncol (R Coll Radiol) 2001;13:209-218.
6. Glare PA, Eychmueller S, McMahon P: Diagnostic accuracy of the palliative prognostic score in hospitalized patients with advanced cancer. J Clin Oncol 2004;22:4823-4828.
7. 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: 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 1999;17:231-239.
8. Breiman L: Statistical modeling: The two cultures. Stat Sci 2001;16:199-231.
9. Bostwick DG, Burke HB: Prediction of individual patient outcome in cancer: Comparison of artificial neural networks and Kaplan-Meier methods. Cancer 2001;91(8 Suppl):1643-1646.
10. Cakir A, Demirel B: A software tool for determination of breast cancer treatment methods using data mining approach. J Med Syst 2010;35:1503-1511.
11. Jayasurya K, Fung G, Yu S, Dehing-Oberije C, De Ruysscher D, Hope A, De Neve W, Lievens Y, Lambin P, Dekker AL: Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy. Med Phys 2010;37: 1401-1407.
12. Justice AC, Covinsky KE, Berlin JA: Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515-524.
13. Xu L, Zhang WJ: Comparison of different methods for variable selection. Anal Chim Acta 2001;446:475-481.
14. Snow PB, Kerr DJ, Brandt JM, Rodvold DM: Neural network and regression predictions of 5-year survival after colon carcinoma treatment. Cancer 2001;91(8 uppl):1673-1678.
15. Sato F, Shimada Y, Selaru FM, Shibata D, Maeda M, Watanabe G, Mori Y, Stass SA, Imamura M, Meltzer SJ: Prediction of survival in patients with esophageal carcinoma using artificial neural networks. Cancer 2005;103:1596-1605.
16. Dolgobrodov SG, Moore P, Marshall R, Bittern R, Steele RJ, Cuschieri A: Artificial neural network: Predicted vs observed survival in patients with colonic cancer. Dis Colon Rectum 2007;50:184-191.
17. Christakis NA, Lamont EB: Extent and determinants of error in doctors' prognoses in terminally ill patients: Prospective cohort study. BMJ 2000;320(7233):469-472.
18. Loprinzi CL, Johnson ME, Steer G: Doc, how much time do I have? J Clin Oncol 2003;21(9 Suppl):5s-7s.
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; Steering Committee of the European Association for Palliative Care: 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;23:6240-6248.
20. Park I, Lee JL, Ryu MH, Kim TW, Sook Lee S, Hyun Park D, Soo Lee S, Wan Seo D, Koo Lee S, Kim MH: Prognostic factors and predictive model in patients with advanced biliary tract adenocarcinoma receiving first-line palliative chemotherapy. Cancer 2009;115:4148-4155.
21. Penel N, Vanseymortier M, Bonneterre ME, Clisant S, Dansin E, Vendel Y, Beuscart R, Bonneterre J: Prognostic factors among cancer patients with good performance status screened for phase I trials. Invest New Drugs 2008;26:53-58.
22. Roxburgh CS, McMillan DC: Role of systemic inflammatory response in predicting survival in patients with primary operable cancer. Future Oncol 2010;6:149-163.
23. Proctor MJ, Morrison DS, Talwar D, Balmer SM, O'Reilly DS, Foulis AK, Horgan PG, McMillan DC: An inflammation- based prognostic score (mGPS) predicts cancer survival independent of tumour site: A Glasgow Inflammation Outcome Study. Br J Cancer 2011;104:726-734.
24. Hauser CA, Stockler MR, Tattersall MH: Prognostic factors in patients with recently diagnosed incurable cancer: A systematic review. Support Care Cancer 2006;14:999-1011.
25. Bachelot T, Ray-Coquard I, Catimel G, Ardiet C, Guastalla JP, Dumortier A, Chauvin F, Droz JP, Philip T, Clavel M: Multivariable analysis of prognostic factors for toxicity and survival for patients enrolled in phase I clinical trials. Ann Oncol. 2000;11:151-156.
26. Kohne CH, Cunningham D, Di CF, Glimelius B, Blijham G, Aranda E, Scheithauer, W, Rougier P, Palmer M, Wils J, Baron B, Pignatti F, Schoffski P, Micheel S, Hecker H: Clinical determinants of survival in patients with 5-fluorouracilbased treatment for metastatic colorectal cancer: Results of a multivariate analysis of 3825 patients. Ann Oncol 2002;13: 308-317.
27. Vigano A, Bruera E, Jhangri GS, Newman SC, Fields AL, Suarez-Almazor ME: Clinical survival predictors in patients with advanced cancer. Arch Intern Med 000;160: 861-868.