Prediction of five-year survival for patients admitted to a department of internal medicine

作者: B. O. Eriksen , I. S. Kristiansen , J. FR. Pape

DOI: 10.1046/J.1365-2796.2001.00904.X

关键词:

摘要: Abstract. Eriksen BO, Kristiansen IS, Pape JFr (University Hospital of Tromso and University Tromso, Norway). Prediction five-year survival for patients admitted to a department internal medicine. J Intern Med 2001; 250: 435–440. Objective. The effect many common forms therapy, as medication mild hypertension or hypercholesterolaemia, only reaches clinical significance after years treatment. The meaningful application such therapy presupposes that physicians can, at least some extent, predict the remaining lifetime patients. We investigated whether clinicians from different disciplines were able 5-year medicine. Design. The members two groups, each consisting an internist, surgeon general practitioner, made individual predictions expected discharged written summaries information. Each patient was randomized be assessed by either groups. compared with actual survival. Setting. Department medicine university hospital. Subjects. Patients consecutively during 6-week period. Main outcome measures. Sensitivity, specificity, positive negative predictive values areas under receiver operating characteristic (ROC) curves 5-y ear six experts. Results. A total 402 included. Five-year 0.63. sensitivity ranged 0.81 0.95, specificity 0.61 0.77, value 0.78 0.87 0.68 0.87. ROC 0.84 0.91. Conclusion. The quality experienced should permit rational use treatments long-term effects.

参考文章(23)
David L Sackett, R Brian Haynes, Peter Tugwell, Clinical Epidemiology: A Basic Science for Clinical Medicine ,(1991)
William J. Mackillop, Carol F. Quirt, Measuring the accuracy of prognostic judgments in oncology Journal of Clinical Epidemiology. ,vol. 50, pp. 21- 29 ,(1997) , 10.1016/S0895-4356(96)00316-2
Elizabeth A. Gilpin, Richard A. Olshen, Kanu Chatterjee, John Kjekshus, Arthur J. Moss, Harmut Henning, Robert Engler, A.Robert Blacky, Howard Dittrich, John Ross, Predicting 1-year outcome following acute myocardial infarction: physicians versus computers Computers and Biomedical Research. ,vol. 23, pp. 46- 63 ,(1990) , 10.1016/0010-4809(90)90006-X
Kerry L. Lee, David B. Pryor, Frank E. Harrell, Robert M. Califf, Victor S. Behar, Walter L. Floyd, James J. Morris, Robert A. Waugh, Robert E. Whalen, Robert A. Rosati, Predicting outcome in coronary disease statistical models versus expert clinicians The American Journal of Medicine. ,vol. 80, pp. 553- 560 ,(1986) , 10.1016/0002-9343(86)90807-7
Lorna Earl Forster, Predicting Life Span for Applicants to Archives of Internal Medicine. ,vol. 148, pp. 2540- 2543 ,(1988) , 10.1001/ARCHINTE.1988.00380120010003
ROY M. POSES, CAROLYN BEKES, FIORE J. COPARE, WILLIAM E. SCOTT, The answer to "What are my chances, doctor?" depends on whom is asked: prognostic disagreement and inaccuracy for critically ill patients. Critical Care Medicine. ,vol. 17, pp. 827- 833 ,(1989) , 10.1097/00003246-198908000-00021
B. O. Eriksen, I. S. Kristiansen, E. Nord, J. F. Pape, S. M. Almdahl, A. Hensrud, S. Jaeger, The cost of inappropriate admissions: a study of health benefits and resource utilization in a department of internal medicine. Journal of Internal Medicine. ,vol. 246, pp. 379- 387 ,(1999) , 10.1046/J.1365-2796.1999.00526.X
Christopher Evans, Mark Mccarthy, Prognostic uncertainty in terminal care: can the Karnofsky index help? The Lancet. ,vol. 325, pp. 1204- 1206 ,(1985) , 10.1016/S0140-6736(85)92876-4