The windows of opportunity

Bryce A. Kiberd; Wai H. Lim

doi:10.1016/j.kint.2022.06.016

The windows of opportunity

Bryce A. Kiberd, Wai H. Lim

Medicine

Medicine

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Models to predict survival after kidney transplantation have been developed, which have assisted clinicians in the selection of patients suitable for kidney transplant wait-listing. However, these models have ignored the competing problem of delisting and wait-list mortality, which are equally important in the decision-making process for determining transplant suitability. This commentary focuses on a newly introduced concept that integrates and quantifies the probability of wait-list survival versus receiving a deceased donor kidney transplant.

Original language	English
Pages (from-to)	479-481
Number of pages	3
Journal	Kidney International
Volume	102
Issue number	3
DOIs	https://doi.org/10.1016/j.kint.2022.06.016
Publication status	Published - Sept 2022

Bibliographical note

Publisher Copyright:
© 2022 International Society of Nephrology

ASJC Scopus Subject Areas

Nephrology

PubMed: MeSH publication types

Journal Article
Comment

Access to Document

10.1016/j.kint.2022.06.016

Cite this

@article{32f5ae0a03ba478e8db77cfba85d6432,

title = "The windows of opportunity",

abstract = "Models to predict survival after kidney transplantation have been developed, which have assisted clinicians in the selection of patients suitable for kidney transplant wait-listing. However, these models have ignored the competing problem of delisting and wait-list mortality, which are equally important in the decision-making process for determining transplant suitability. This commentary focuses on a newly introduced concept that integrates and quantifies the probability of wait-list survival versus receiving a deceased donor kidney transplant.",

author = "Kiberd, {Bryce A.} and Lim, {Wai H.}",

note = "Publisher Copyright: {\textcopyright} 2022 International Society of Nephrology",

year = "2022",

month = sep,

doi = "10.1016/j.kint.2022.06.016",

language = "English",

volume = "102",

pages = "479--481",

journal = "Kidney International",

issn = "0085-2538",

publisher = "Nature Publishing Group",

number = "3",

}

TY - JOUR

T1 - The windows of opportunity

AU - Kiberd, Bryce A.

AU - Lim, Wai H.

PY - 2022/9

Y1 - 2022/9

N2 - Models to predict survival after kidney transplantation have been developed, which have assisted clinicians in the selection of patients suitable for kidney transplant wait-listing. However, these models have ignored the competing problem of delisting and wait-list mortality, which are equally important in the decision-making process for determining transplant suitability. This commentary focuses on a newly introduced concept that integrates and quantifies the probability of wait-list survival versus receiving a deceased donor kidney transplant.

AB - Models to predict survival after kidney transplantation have been developed, which have assisted clinicians in the selection of patients suitable for kidney transplant wait-listing. However, these models have ignored the competing problem of delisting and wait-list mortality, which are equally important in the decision-making process for determining transplant suitability. This commentary focuses on a newly introduced concept that integrates and quantifies the probability of wait-list survival versus receiving a deceased donor kidney transplant.

UR - http://www.scopus.com/inward/record.url?scp=85135947698&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85135947698&partnerID=8YFLogxK

U2 - 10.1016/j.kint.2022.06.016

DO - 10.1016/j.kint.2022.06.016

M3 - Comment/debate

C2 - 35988937

AN - SCOPUS:85135947698

SN - 0085-2538

VL - 102

SP - 479

EP - 481

JO - Kidney International

JF - Kidney International

IS - 3

ER -

The windows of opportunity

Abstract

Bibliographical note

ASJC Scopus Subject Areas

PubMed: MeSH publication types

Access to Document

Other files and links

Fingerprint

Cite this