Jeroen G Lijmer1, Patrick M M Bossuyt. 1. Department Clinical Epidemiology & Biostatistics, Academic Medical Center, University of Amsterdam, Room J1b-214, PO Box 22700, 1100 DE Amsterdam, The Netherlands. Jeroen.lijmer@gmail.com
Abstract
OBJECTIVE: To explore designs for evaluating the prognostic and predictive value of medical tests and their effect on patient outcome. STUDY DESIGN: Theoretical analysis with examples from the medical literature. RESULTS: For evaluating the prognostic value of a test, one can include the test at baseline in prognostic studies. To evaluate the value of test in predicting treatment outcome, the test results can be used as baseline information in randomized controlled trials of treatment. To compare the prognostic or predictive value of two or more tests, the test result combinations can be used as baseline information. To evaluate the effect on patient outcome, randomized controlled trials of test strategies are an option. Randomization can apply to all tested or be restricted to specific subgroups, such as those with discordant test results, to increase the efficiency of trials. CONCLUSION: The prognostic and predictive value of medical tests can and should be evaluated, to demonstrate the test's ability to guide clinical decision making and to improve patient outcome. Various randomized designs can be used to evaluate the effects on testing on patient outcome.
OBJECTIVE: To explore designs for evaluating the prognostic and predictive value of medical tests and their effect on patient outcome. STUDY DESIGN: Theoretical analysis with examples from the medical literature. RESULTS: For evaluating the prognostic value of a test, one can include the test at baseline in prognostic studies. To evaluate the value of test in predicting treatment outcome, the test results can be used as baseline information in randomized controlled trials of treatment. To compare the prognostic or predictive value of two or more tests, the test result combinations can be used as baseline information. To evaluate the effect on patient outcome, randomized controlled trials of test strategies are an option. Randomization can apply to all tested or be restricted to specific subgroups, such as those with discordant test results, to increase the efficiency of trials. CONCLUSION: The prognostic and predictive value of medical tests can and should be evaluated, to demonstrate the test's ability to guide clinical decision making and to improve patient outcome. Various randomized designs can be used to evaluate the effects on testing on patient outcome.
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