Prediction models to measure transplant readiness of patients with renal failure : a systematic review
Joint Authors
Jangi, Majid
Ibn Husayni, Zahrah
Sabbagh, Mahin Ghurban
Khaliji, Ibrahim
Tara, Mahmud
Source
Saudi Journal of Kidney Diseases and Transplantation
Issue
Vol. 30, Issue 1 (28 Feb. 2019), pp.1-14, 14 p.
Publisher
Saudi Center for Organ Transplantation
Publication Date
2019-02-28
Country of Publication
Saudi Arabia
No. of Pages
14
Main Subjects
Topics
Abstract EN
Predicting the future of illness, a patient is facing helps the physicians to choose the best strategy to manage the disease.
Models for predicting the readiness of candidates for kidney transplant can be very promising.
This study sought to systematically review the predictive models and algorithms that assess the readiness of renal transplant candidates in different countries.
This systematic review study was according to PRISMA-P protocol in PubMed and Science Direct databases and general search engines up to March 2017.
Eligible studies were those that introduced a model to assess the readiness for renal transplantation of patients with chronic renal failure from cadavers and this assessment led to scoring prioritization or superiority among patients.
We found 28 studies from 11 countries that met the search criteria and >50% of them were published from 2015 onward.
Of the studies, nine models and algorithms were extracted that included 12 factors.
Some models, including the European and Scandinavian models, were used jointly between different countries.
All the models had at least four factors, and nearly 90% of the models considered four or five factors to measure kidney transplantation readiness.
More than 50% of the models had age, dialysis duration, HLA type, and emergency status factors and, dialysis duration.
Predictive models are important for renal transplant because of the significant reduction in number of cadavers and longer wait of candidates for a kidney transplant.
Further studies can examine the effect of these models on the survival of the kidney transplant
American Psychological Association (APA)
Jangi, Majid& Ibn Husayni, Zahrah& Sabbagh, Mahin Ghurban& Khaliji, Ibrahim& Tara, Mahmud. 2019. Prediction models to measure transplant readiness of patients with renal failure : a systematic review. Saudi Journal of Kidney Diseases and Transplantation،Vol. 30, no. 1, pp.1-14.
https://search.emarefa.net/detail/BIM-887108
Modern Language Association (MLA)
Jangi, Majid…[et al.]. Prediction models to measure transplant readiness of patients with renal failure : a systematic review. Saudi Journal of Kidney Diseases and Transplantation Vol. 30, no. 1 (Jan. / Feb. 2019), pp.1-14.
https://search.emarefa.net/detail/BIM-887108
American Medical Association (AMA)
Jangi, Majid& Ibn Husayni, Zahrah& Sabbagh, Mahin Ghurban& Khaliji, Ibrahim& Tara, Mahmud. Prediction models to measure transplant readiness of patients with renal failure : a systematic review. Saudi Journal of Kidney Diseases and Transplantation. 2019. Vol. 30, no. 1, pp.1-14.
https://search.emarefa.net/detail/BIM-887108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 11-14
Record ID
BIM-887108