Background: Economic evaluations of companion diagnostics often fail to include the impact that tests have on the overall economic value of test–drug combinations. Methods: To illustrate the importance of test accuracy on the cost–effectiveness of companion diagnostics by means of examples. Data were extracted from the literature. Results: The accuracy of a test and in particularly its specificity, is often more influential on the overall cost–effectiveness results than the price of the test. Specificity becomes more crucial when prevalence of the biomarker is low. Multiple, simultaneous testing faces specific challenges regarding its overall specificity. Conclusion: This article opens a discussion on some fundamental points linked to econo...
There are multiple tests available that can help diagnose ovarian cancer, and the cost-effective ana...
BACKGROUND: In recent years, increasing focus has been directed to the methodology for evaluating (n...
OBJECTIVES Linked evidence models are recommended to predict health benefits and cost-effectivene...
Background: Economic evaluations of companion diagnostics often fail to include the impact that test...
Objective: The aim of this study was to present a clear process of synthesizing test accuracy data w...
The successful use of a targeted therapy is intrinsically linked to the ability of a companion diagn...
Background Despite the increasing economic assessment of biomarker-guided therapies, no clear agreem...
BACKGROUND: Despite the increasing economic assessment of biomarker-guided therapies, no clear agree...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
Despite the increasing number of potential biomarkers identified in laboratories and reported in muc...
Despite the increasing number of potential biomarkers identified in laboratories and reported in muc...
PurposeThere is uncertainty about when personalized medicine tests provide economic value. We assess...
Ten years after completion of the Human Genome Project, progress towards making “personalized medici...
An accurate diagnosis is a crucial part of an effective treatment. Diagnostic errors cause unwanted ...
There are multiple tests available that can help diagnose ovarian cancer, and the cost-effective ana...
BACKGROUND: In recent years, increasing focus has been directed to the methodology for evaluating (n...
OBJECTIVES Linked evidence models are recommended to predict health benefits and cost-effectivene...
Background: Economic evaluations of companion diagnostics often fail to include the impact that test...
Objective: The aim of this study was to present a clear process of synthesizing test accuracy data w...
The successful use of a targeted therapy is intrinsically linked to the ability of a companion diagn...
Background Despite the increasing economic assessment of biomarker-guided therapies, no clear agreem...
BACKGROUND: Despite the increasing economic assessment of biomarker-guided therapies, no clear agree...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
Despite the increasing number of potential biomarkers identified in laboratories and reported in muc...
Despite the increasing number of potential biomarkers identified in laboratories and reported in muc...
PurposeThere is uncertainty about when personalized medicine tests provide economic value. We assess...
Ten years after completion of the Human Genome Project, progress towards making “personalized medici...
An accurate diagnosis is a crucial part of an effective treatment. Diagnostic errors cause unwanted ...
There are multiple tests available that can help diagnose ovarian cancer, and the cost-effective ana...
BACKGROUND: In recent years, increasing focus has been directed to the methodology for evaluating (n...
OBJECTIVES Linked evidence models are recommended to predict health benefits and cost-effectivene...