Seminars in Oncology
Volume 37, Issue 1 , Pages 20-22 , February 2010

The Many Uses of Cancer Prediction Tools

  • Michael W. Kattan

      Affiliations

    • Corresponding Author InformationAddress correspondence to Michael W. Kattan, PhD, Cleveland Clinic, 9500 Euclid Ave JJN3-01, Cleveland, OH 44195

References 

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  2. Kattan M. Comparative effectiveness: a table of expected benefits and harms. Med Decis Making. 2009;29:NP3–NP5
  3. Nguyen C, Kattan M. Development of a prostate cancer metagram: a solution to the dilemma of which prediction tool to use in patient counseling. Cancer. 2009;115(Suppl):3039–3045
  4. Kattan M, Marasco J. What is a real nomogram?. Semin Oncol. 2009;37:23–26
  5. Brennan M, Kattan M, Klimstra D, Conlon K. Prognostic nomogram for patients undergong resection for adenocarcinoma of the pancreas. Ann Surg. 2004;240:293–298
  6. Gonen M, Weiser M. Whither TNM?. Semin Oncol. 2009;37:xx
  7. Ross PL, Gerigk C, Gonen M, et al. Comparisons of nomograms and urologists' predictions in prostate cancer. Semin Urol Oncol. 2002;20:82–88
  8. Specht M, Kattan M, Gonen M, Fey J, Van Zee K. Predicting nonsentinel node status after positive sentinel lymph biopsy for breast cancer: clinicians versus nomogram. Ann Surg Oncol. 2005;12:654–659
  9. Hogarth RM. In: Judgement and choice: the psychology of decision. Vol 2:New York: Wiley; 1987;
  10. Wang L, Hricak H, Kattan M, Chen H, Scardino P, Kuriowa K. Prediction of organ-confined prostate cancer; incremental value of MR imaging and MR spectroscopic imaging to staging nomograms. Radiology. 2006;238:597–603
  11. Vickers A, Cronin A. Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework. Semin Oncol. 2009;37:31–38
  12. Bardia A, Loprinizi C, Grothey A, et al. Adjuvant chemotherapy for resected stage II and III colon cancer: comparison of two widely used prognostic calculators. Semin Oncol. 2009;37:39–47
  13. Patrick R, Buccini L, Kattan M. Prediction tools and informed consent. Semin Oncol. 2009;37:47–52
  14. Devidas M, London W, Anderson J. The use of central laboratories and remote electronic data capture to risk-adjust therapy for pediatric actue lymphoblastic leukemia and neuroblastoma. Semin Oncol. 2009;37:53–59
  15. Epstein R. Digitisation and its discontents: future shock in predictive oncology. Semin Oncol. 2009;37:60–64
  16. Hess K, Wei C. Learning curves in classification with microarray data. Semin Oncol. 2009;37:65–68

PII: S0093-7754(09)00235-8

doi: 10.1053/j.seminoncol.2009.12.010

Seminars in Oncology
Volume 37, Issue 1 , Pages 20-22 , February 2010

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