Utility of a web-based breast cancer predictive algorithm for adjuvant chemotherapeutic decision making in a multidisciplinary oncology center

Cancer Investigation

Volumn 24, Issue 4, 2006, Pages 367-373

  Epstein, Richard ^a,b,c   Leung, Thomas ^b   Mak, Joyce ^b   Cheung, Polly ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG SANATORIUM AND HOSPITAL   (Hong Kong)

^c QUEEN MARY HOSPITAL   (Hong Kong)

Author keywords

Breast neoplasms; Cancer chemotherapy; Clinical decision support software

Indexed keywords

AROMATASE INHIBITOR; CYCLOPHOSPHAMIDE; DOXORUBICIN; FLUOROURACIL;

ADULT; AGED; ALGORITHM; ARTICLE; BREAST CANCER; CANCER ADJUVANT THERAPY; CANCER CHEMOTHERAPY; CANCER RECURRENCE; CANCER SURVIVAL; COMPUTER PROGRAM; COST BENEFIT ANALYSIS; DIAGNOSTIC VALUE; FEMALE; HUMAN; INTERNET; MAJOR CLINICAL STUDY; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK BENEFIT ANALYSIS; TEAMWORK;

ADULT; AGED; ALGORITHMS; ANTINEOPLASTIC AGENTS; BREAST NEOPLASMS; CHEMOTHERAPY, ADJUVANT; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; INTERNET; MIDDLE AGED; SOFTWARE;

EID: 33745325366     PISSN: 07357907     EISSN: 15324192     Source Type: Journal    
DOI: 10.1080/07357900600705292     Document Type: Article

References (24)

1. Vervoort, M.M.; Draisma, G.; Fracheboud, J.; van de Poll-Franse, L.V.; DeKoning, H.J. Trends in the usage of adjuvant systemic therapy for breast cancer in the Netherlands and its effect on mortality. Br. J. Cancer 2004, 91, 242-247.
2. Bonadonna, G.; Rossi, A.; Valagussa, P.; Banfi, A.; Veronesi, U. The CMF program for operable breast cancer with positive axillary nodes. Cancer 1977, 39 (6 Supp.), 2904-2915.
3. Early Breast Cancer Trialists Collaborative Group. Effects of adjuvant tamoxifen and of cytotoxic therapy on mortality in early breast cancer. N. Engl. J. Med. 1988, 319, 1681-1692.
4. Jansen, S.J.; Otten, W.; van de Velde, C.J.; Nortier, J.W.; Stiggelbout, A.M. The impact of the perception of treatment choice on satisfaction with treatment, experienced chemotherapy burden, and current quality of life. Br. J. Cancer 2004, 91, 56-61.
5. Llewellyn-Thomas, H.A.; McGreal, M.J.; Thiel, E.C. Cancer patients' decision making and trial entry preferences: effects of "framing" information about short-term toxicity and long term survival. Med. Decis. Making 1995, 15, 4-12.
6. Chao, C.; Studts, J.L.; Abell, T. et al. Adjuvant chemotherapy for breast cancer: how presentation of recurrence risk influences decision-making. J. Clin. Oncol. 2003, 21, 4299-4305.
7. Loprinzi, C.L.; Thome, S.D. Understanding the utility of adjuvant systemic therapy for primary breast cancer. J. Clin. Oncol. 2001, 19, 972-979.
8. Irwin, E.; Arnold, A.; Whelan, T.J.; Reyno, L.M.; Cranton, P. Offering a choice between two adjuvant chemotherapy regimens: a pilot study to develop a decision aid for women with breast cancer. Patient Educ. Couns. 1999, 37, 283-291.
9. Protiere, C.; Viens, P.; Genre, D. et al. Patient participation in medical decision-making: a French study in adjuvant radio-chemo therapy for early breast cancer. Ann. Oncol. 2000, 11, 39-45.
10. Lundin, J.; Lundin, M.; Isola, J.; Joensuu, H. Evaluation of a web-based system for survival estimation in breast cancer. Stud Health Technol Inform 2003, 95, 788-793.
11. Ziebland, S.; Chapple, A.; Dumelow, C.; Evans, J.; Prinjha, S.; Rozmovits, L. How the internet affects patients' experience of cancer: a qualitative study. Br. Med. J. 2004, 325, 564.
12. Humber, M.; Butterworth, H.; Fox, J.; Thomson, R. Medical decision support via the internet: PROforma and Solo. Medinfo. 2001, 10, 464-468.
13. Malek, K.; Hink, A.K.; Thwin, S.S.; Gurwitz, J.; Ganz, P.A.; Silliman, R.A. The relationship among physicians' specialty, perceptions of the risks and benefits of adjuvant tamoxifen therapy, and its recommendation in older patients with breast cancer. Med. Care 2004, 42, 700-706.
14. Rodrigues, R.J. Information systems: the key to evidence-based health practice. Bull WHO 2000, 78, 1344-1351.
15. Forsstrom, J.J.; Rigby, M. Considerations on the quality of medical software and information services. Int. J. Med. Inform. 1999, 56, 169-176.
16. Schilling, J.; Faisst, K.; Kapetanios, E.; Wyss, P.; Norrie, M.C.; Gutzwiller, F. Appropriateness and necessity research on the Internet: using a "second opinion system". Methods Inf. Med. 2000, 39, 233-237.
17. Friedlander. M.; Thewes, B. Counting the costs of treatment: the reproductive and gynaecological consequences of adjuvant therapy in young women with breast cancer. Intern. Med. J. 2003, 33, 372-379.
18. Basso, U.; Brunello, A.; Pogliani, C.; Monfardini, S. Treatment options for early breast cancer in elderly women. Expert Rev. Anticancer Ther. 2004, 4, 197-211.
19. Brown, L.E.; Tsamardinos, I.; Aliferis, C.F. A novel algorithm for scalable and accurate bayesian network learning. Medinfo. 2004; 2004 (CD): 711-715.
20. Mani, S.; Cooper, G.F. Causal discovery using a bayesian local causal discovery algorithm. Medinfo. 2004, 2004, (CD): 731-735.
21. Ravdin, P.M.; Siminoff, L.A.; Davis, G.J.; Mercer, M.B.; Hewlett, J.; Gerson, N.; Parker, H.L. Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J. Clin. Oncol. 2001, 19, 980-991.
22. Cole, B.F.; Gelber, R.D.; Gelber, S.; Mukhopadhyay, P. A quality-adjusted survival (Q-TWiST) model for evaluating treatments for advanced-stage cancer. J. Biopharm. Stat. 2004, 14, 111-124.
23. Goodwin, P.J.; Black, J.T.; Bordeleau, L.G.; Ganz, P.A. Health-related quality-of-life measurement in randomized clinical trials in breast cancer - taking stock. J. Natl. Cancer Inst. 2003, 95, 263-281.
24. Punglia, R.S.; Kuntz, K.M.; Lee, J.H.; Recht, A. Radiation therapy plus tamoxifen versus tamoxifen alone after breast-conserving surgery in postmenopausal women with stage I breast cancer: a decision analysis. J. Clin. Oncol. 2003, 21, 2260-2267.