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American Journal of Transplantation
Article . 2016 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Deceased Organ Donation

Authors: A K, Israni; D, Zaun; C, Bolch; J D, Rosendale; J J, Snyder; B L, Kasiske;

Deceased Organ Donation

Abstract

SRTR uses data collected by OPTN to calculate metrics such as donation/conversion rate, organ yield, and rate of organs recovered for transplant but not transplanted. In 2014, 9252 eligible deaths were reported by organ procurement organizations, a slight increase from 8944 in 2012, and the donation/conversation rate was 73.4 eligible donors per 100 eligible deaths, a slight increase from 71.3 in 2013. Some metrics show variation across organ procurement organizations, suggesting that sharing best practices could lead to gains in efficiency and organ retrieval.

Keywords

Time Factors, Tissue and Organ Procurement, Humans, Organ Transplantation, Tissue Donors, United States

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
hybrid