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Published on: August 14, 2017
Evidence-based development of liver allocation: a review.
Robert M Merion1, Pratima Sharma, Amit K Mathur
1Arbor Research Collaborative for Health, Ann Arbor, MI 48104, USA. bob.merion@arborresearch.org
Liver allocation systems have evolved from basic methods to evidence-based approaches predicting waiting list mortality. Future systems may incorporate post-transplant outcomes for improved organ distribution.
Area of Science:
- Hepatology
- Transplantation Medicine
- Public Health Policy
Background:
- Liver transplantation has advanced significantly, becoming a standard treatment for various liver diseases.
- Increasing demand for liver transplants outstrips donor organ availability, necessitating efficient allocation systems.
- Early allocation systems faced challenges due to limited data, leading to inequities.
Purpose of the Study:
- To review the evolution of liver allocation systems.
- To highlight the shift towards evidence-based criteria.
- To discuss the potential of transplant benefit-based allocation models.
Main Methods:
- Review of historical and current liver allocation strategies.
- Analysis of the impact of data availability and predictive modeling.
- Exploration of simulation-based development of new allocation systems.
Main Results:
- Liver allocation has progressed from rudimentary methods to sophisticated, data-driven approaches.
- Waiting list mortality risk prediction has become a cornerstone of current allocation systems.
- Transplant benefit-based allocation models show promise but require further development.
Conclusions:
- Liver allocation systems have become more objective and equitable over time.
- The future of liver allocation may involve incorporating post-transplant outcomes to maximize patient benefit.
- Continued refinement and community consensus are crucial for implementing advanced allocation strategies.
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