Net Efficacy Adjusted for Risk: A Simple Procedure for Measuring Risk:Benefit Balance
Author Information
Author(s): Boada José N., Boada Carlos García-Sáiz, Mar García, Marcelino Fernández, Eduardo Gómez, Eugenio
Primary Institution: University Hospital of Canary Islands, University of La Laguna
Hypothesis
Can a simple model be designed to assess the risk:benefit balance of drugs in clinical practice?
Conclusion
The NEAR measure may improve understanding of drug clinical usefulness by balancing benefits and adverse reactions.
Supporting Evidence
- NEAR may help in solving clinical problems arising in practical settings.
- Most published clinical trials tend to overestimate benefits and underestimate toxicity.
- The NEAR model was tested with results from several published clinical trials.
Takeaway
This study created a new way to see how well a drug works while also considering any bad side effects it might have.
Methodology
The study used a theoretical model to calculate the expected proportion of patients responding favorably to treatment without adverse drug reactions.
Limitations
The model relies on data that is often not reported in clinical trials, which may limit its applicability.
Digital Object Identifier (DOI)
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