Literature DB >> 23557721

Australian registries-ANZDATA and ANZOD.

Stephen P McDonald1, Graeme R Russ.   

Abstract

Transplant registries are a proven valuable source of data about transplantation. The inclusion of all transplants conducted in a region or country provides a different perspective from that of other observational studies. They allow examination of activity levels and trends, provide descriptions of outcomes which avoid the selection bias inherent in randomized clinical trials and facilitate hypothesis-generating studies. Examination of rare or unusual diseases and their outcomes is another area of strength. The models and structures of registries vary throughout the world. In Australia and New Zealand, kidney transplant outcomes are combined with dialysis in the Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry. Deceased solid-organ donor activity is recorded in the Australia and New Zealand Organ Donor (ANZOD) Registry. Both of these registries are conducted and governed along similar lines. Key factors include strong clinical links in data collection and governance, and the involvement of contributors in a wide variety of activities and output.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23557721     DOI: 10.1016/j.trre.2013.01.003

Source DB:  PubMed          Journal:  Transplant Rev (Orlando)        ISSN: 0955-470X            Impact factor:   3.943


  14 in total

1.  Dominant predictors of early post-transplant outcomes based on the Korean Organ Transplantation Registry (KOTRY).

Authors:  Jong Cheol Jeong; Tai Yeon Koo; Han Ro; Dong Ryeol Lee; Dong Won Lee; Jieun Oh; Jayoun Kim; Dong-Wan Chae; Young Hoon Kim; Kyu Ha Huh; Jae Berm Park; Yeong Hoon Kim; Seungyeup Han; Soo Jin Na Choi; Sik Lee; Sang-Il Min; Jongwon Ha; Myoung Soo Kim; Curie Ahn; Jaeseok Yang
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

2.  Incidence and survival of end-stage kidney disease due to polycystic kidney disease in Australia and New Zealand (1963-2014).

Authors:  Mangalee R Fernando; Hannah Dent; Stephen P McDonald; Gopala K Rangan
Journal:  Popul Health Metr       Date:  2017-02-17

3.  Daily hemodialysis practices in Australia/New Zealand and in France: a comparative cohort study.

Authors:  Adélaïde Pladys; Sahar Bayat; Cécile Couchoud; Cécile Vigneau; Stephen McDonald
Journal:  BMC Nephrol       Date:  2019-05-07       Impact factor: 2.388

4.  Absolute risk and risk factors for stroke mortality in patients with end-stage kidney disease (ESKD): population-based cohort study using data linkage.

Authors:  Nicole Louise De La Mata; Maria Alfaro-Ramirez; Patrick J Kelly; Philip Masson; Rustam Al-Shahi Salman; Angela C Webster
Journal:  BMJ Open       Date:  2019-02-22       Impact factor: 2.692

5.  The transplant cohort of the German center for infection research (DZIF Tx-Cohort): study design and baseline characteristics.

Authors:  André Karch; Daniela Schindler; Andrea Kühn-Steven; Rainer Blaser; Klaus A Kuhn; Lisa Sandmann; Claudia Sommerer; Markus Guba; Uwe Heemann; Jens Strohäker; Stephan Glöckner; Rafael Mikolajczyk; Dirk H Busch; Thomas F Schulz
Journal:  Eur J Epidemiol       Date:  2021-01-25       Impact factor: 8.082

6.  Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney.

Authors:  Sameera Senanayake; Nicholas Graves; Helen Healy; Keshwar Baboolal; Adrian Barnett; Sanjeewa Kularatna
Journal:  Health Econ Rev       Date:  2021-04-15

7.  Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index.

Authors:  Sameera Senanayake; Sanjeewa Kularatna; Helen Healy; Nicholas Graves; Keshwar Baboolal; Matthew P Sypek; Adrian Barnett
Journal:  BMC Med Res Methodol       Date:  2021-06-21       Impact factor: 4.615

8.  Design and Methods of the Korean Organ Transplantation Registry.

Authors:  Jaeseok Yang; Jong Cheol Jeong; Joongyub Lee; Young Hoon Kim; Hyo Chae Paik; Jae-Joong Kim; Hyun-Young Park; Myoung Soo Kim; Curie Ahn
Journal:  Transplant Direct       Date:  2017-07-07

9.  Social disparities in the prevalence of diabetes in Australia and in the development of end stage renal disease due to diabetes for Aboriginal and Torres Strait Islanders in Australia and Maori and Pacific Islanders in New Zealand.

Authors:  Kathleen Hill; Paul Ward; Blair S Grace; Jonathan Gleadle
Journal:  BMC Public Health       Date:  2017-10-11       Impact factor: 3.295

10.  Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

Authors:  Sameera Senanayake; Adrian Barnett; Nicholas Graves; Helen Healy; Keshwar Baboolal; Sanjeewa Kularatna
Journal:  F1000Res       Date:  2019-10-29
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