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Using the incremental net benefit framework for quantitative benefit-risk analysis in regulatory decision-making--a case study of alosetron in irritable bowel syndrome.
Author: ByrneMichael F, ColleyLindsey, HauberA Brett, JohnsonF Reed, LyndLarry D, NajafzadehMehdi, SculpherMark J, WillanAndrew R
Original Abstract of the Article :
There is consensus that a more transparent, explicit, and rigorous approach to benefit-risk evaluation is required. The objective of this study is to evaluate the incremental net benefit (INB) framework for undertaking quantitative benefit-risk assessment by performing a quantitative benefit-risk an...See full text at original site
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引用元:
https://doi.org/10.1111/j.1524-4733.2009.00595.x
データ提供:米国国立医学図書館(NLM)
Quantitative Benefit-Risk Analysis: A Case Study of Alosetron for Irritable Bowel Syndrome
This study explores the use of the incremental net benefit (INB) framework for quantitative benefit-risk analysis of alosetron, a medication for irritable bowel syndrome (IBS). The researchers analyzed the benefit-risk profile of alosetron from the patients' perspective, aiming to provide a transparent and rigorous approach to decision-making.
INB Framework for Decision-Making
The study demonstrates the potential of the INB framework for conducting quantitative benefit-risk assessments in regulatory decision-making. It highlights the importance of considering both the benefits and risks associated with medications from the patient's perspective.
Making Informed Decisions
This research emphasizes the need for a more transparent and rigorous approach to benefit-risk evaluation in healthcare. By adopting frameworks like the INB, we can make more informed decisions regarding medication use, ensuring that patients receive optimal care.
Dr.Camel's Conclusion
Like a camel carefully navigating a treacherous desert path, we must approach medication decisions with a balanced perspective, weighing both the potential benefits and risks. This study demonstrates the value of frameworks like INB for making informed decisions in healthcare, ensuring that patients receive appropriate and safe treatment.
Date :
- Date Completed 2010-09-20
- Date Revised 2013-11-21
Further Info :
Related Literature
English
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