Measuring the accuracy of prognostic judgments in oncology

Journal of Clinical Epidemiology

Volumn 50, Issue 1, 1997, Pages 21-29

  Mackillop, William J ^a,b   Quirt, Carol F ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b KINGSTON GENERAL HOSPITAL   (Canada)

Author keywords

Cancer; Clinical judgment; Forecasting; Prognosis

Indexed keywords

ACCURACY; ADULT; AGED; ARTICLE; BIOSTATISTICS; CALIBRATION; CANCER; CANCER PATIENT; CANCER SURVIVAL; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PHYSICIAN; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC;

ACTUARIAL ANALYSIS; ADULT; AGED; AGED, 80 AND OVER; CALIBRATION; DISCRIMINANT ANALYSIS; FEMALE; FORECASTING; HUMANS; JUDGMENT; MALE; MEDICAL ONCOLOGY; MIDDLE AGED; NEOPLASMS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; ROC CURVE; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 0031046321     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(96)00316-2     Document Type: Article

References (31)

1. 1. Webster's Encyclopedic Unabridged Dictionary of the English Language. New York: Portland House; 1989.
2. 2. Nowell P. Mechanisms of tumour progression. Cancer Res 1986; 46: 2203-2207.
3. 3. Skipper HE, Schabel FM, Wilcox WS. Experimental evaluation of potential anticancer agents. XIII: On the criteria and kinetics associated with "curability" of experimental leukemia. Cancer: Chemother Reports 1964; 35: 1-15.
4. 4. DeVita S, Hellman S, Rosenberg SA. Cancer: Principles and Practice of Oncology, 4th Edition. Philadelphia: Lippincott; 1993.
5. 5. Feinstein AR. Symptomatic patterns, biological behaviour, and prognosis in cancer of the lung. Ann Intern Med 1964; 61: 27-39.
6. 6. Detsky AS, Stricker SC, Mulley AG, Thibault GE. Prognosis, survival, and the expenditure of hospital resources for patients in an intensive-care unit. N Engl J Med 1981; 305: 667-672.
7. 7. Mackillop WJ, Stewart WE, Ginsburg AD, Stewart SS. Cancer patients' perceptions of their disease and its treatment. Br J Cancer 1988; 50: 355-359.
8. 8. Hilden J, Habbema JDK. Prognosis in medicine: An analysis of its meaning and roles. Theor Med 1987; 8: 349-365.
9. 9. Sokal RR, Rohlf FJ. Biometry. San Francisco: W.H. Freeman and Company; 1969.
10. 10. Lichtenstein S, Fischoff B, Phillips LD. Calibration of probabilities: The state of the art in 1980. In Kahneman D, Slovick P, Tversky A, Eds. Judgement Under Uncertainty: Heuristics and Biases. Cambridge: Cambridge University Press; 1982: 306-334.
11. 11. Poses RM, Cebul RD, Centor RM. Evaluating of physicians' probabilistic judgments. Med Decis Making 1988; 8: 223-240.
12. 12. Rothman KJ. Modern Epidemiology. Boston: Little, Brown, and Company; 1986.
13. 13. Winkler RL, Murphy AH. "Good" probability assessors. J Appl Meteorol 1968; 7: 751-760.
14. 14. Brier GW. Verification of forecasts expressed in terms of probability. Monthly Weather Review 1950; 78: 1-3.
15. 15. Swets JA. ROC analysis applied to the evaluation of medical imaging techniques. Invest Radiol 1979; 14: 109-121.
16. 16. Griner PF, Mayewski RJ, Mushlin AI. Selection and interpretation of diagnostic tests and procedures: Principles and applications. Ann Intern Med 1981; 94: 553.
17. 17. McClish DK, Powell SH. How well can physicians estimate mortality in a medical intensive care unit? Med Decis Making 1989; 9: 125-132.
18. 18. Knaus WA, Wagner DP, Lynn J. Short-term mortality predictions for critically ill hospitalized adults: Science and ethics. Science 1991; 254: 389-394.
19. 19. Kong DF, Lee KL, Harrell FE, Boswick JM, Mark DB, Hlatky MA, Califf RM, Pryor DB. Clinical experience and predicting survival in coronary disease. Arch Intern Med 1989; 149: 1177-1181.
20. 20. Lee KL, Pryor DB, Harrell FE, Califf RM, Behar VS, Floyd WL, Morris JJ, Waugh RA, Whalen RE, Rosati RA. Predicting outcome in coronary disease: Statistical models versus expert clinicians. Am J Med 1986; 80: 553-560.
21. 21. Yates JF. External correspondence: Decompositions of the mean probability score. Organiz Behav & Human Perform 1982; 30: 132-156.
22. 22. Bamber D. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J Mathematical Psych 1975; 12: 387-415.
23. 23. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143: 29-36.
24. 24. Poses RM, Bekes C, Copare FJ, Scott WE. The answer to "What are my chances, doctor?" depends on whom is asked: Prognostic disagreement and inaccuracy for critically ill patients. Crit Care Med 1989; 17: 827-833.
25. 25. Brannen AL, Godfrey LJ, Goetter WE. Prediction of outcome from critical illness: A comparison of clinical judgement with a prediction rule. Arch Intern Med 1989; 149: 1083-1086.
26. 26. Dolan JG, Bordley DR, Mushlin AI. An evaluation of clinicians' subjective prior probability estimates. Med Decis Making 1986; 6: 216-223.
27. 27. Forster LE, Lynn J. Predicting life span for applicants to inpatient hospice. Arch Intern Med 1988; 148: 2540-2543.
28. 28. Stanski HR, Wilson LJ, Burrows WR. Survey of common verification methods in meteorology. Environment Canada Atmospheric Environment Service Research Report, No. (MSRB) 89-5; 1989.
29. 29. Poses RM, Anthony M. Availability, wishful thinking, and physicians' diagnostic judgments for patients with suspected bacteremia. Med Dec Making 1991; 11: 159-168.
30. 30. Evans C, McCarthy M. Prognostic uncertainty in terminal care: Can the Karnofsky Index help? Lancet 1985; May: 1204-1206.
31. 31. Parkes CM. Accuracy of predictions of survival in later stages of cancer. Br Med J 1972; 2: 29-31.