Evidence map›Paper›PMID 39467040›Full record

ArticleNephrology (Carlton, Vic.)2024

Geographic variation in kidney failure and transplantation in Aotearoa New Zealand: A population-based data linkage study.

Johanna M Birrell, Angela C Webster, Nicholas B Cross, Tim Driscoll, Heather Dunckley, Ben Beaglehole, Ian Dittmer, Curtis Walker, Merryn Jones, John Irvine and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nephrology (Carlton, Vic.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Johanna M BirrellDepartment of Nephrology, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-5142-313X
Angela C WebsterSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-7509-0512
Nicholas B CrossDepartment of Nephrology, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand.
Tim DriscollSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Heather DunckleyNew Zealand Blood Service, Auckland, New Zealand.ORCID https://orcid.org/0009-0007-6615-4490
Ben BeagleholeDepartment of Psychological Medicine, University of Otago, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-9521-1745
Ian DittmerDepartment of Renal Medicine, Auckland City Hospital, Te Whatu Ora Te Toka Tumai, Auckland, New Zealand.
Curtis WalkerMedical Council of New Zealand, Te Whatu Ora Te Pae Hauora o Ruahine o Tararua MidCentral, Palmerston North, New Zealand.
Merryn JonesKidney Health New Zealand Tākihi Hauora Aotearoa, Christchurch, New Zealand.
John IrvineDepartment of Nephrology, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand.
Melanie L WyldSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-9250-107X
Kate R WyburnSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-5288-7200
Nicole L De La MataSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-7739-3656

Funding

Australian Academy of ScienceNational Health and Medical Research Council 2031401Ross Bailey Nephrology Trust
6 · The paper itself

Abstract

aimThis study aimed to describe the epidemiology of kidney replacement therapy (KRT) in Aotearoa New Zealand and assess the impact of residential location on access to kidney transplantation.

methodsAcceSS and Equity in Transplantation (ASSET), a health-linked data platform, was used to identify people commencing KRT in New Zealand from 2006 to 2019 and analyse regional epidemiology. Health services were classified as 'transplanting', 'intermediate' or 'remote' depending on their degree of separation from a transplant centre. Multiple logistic regression modelling was used to assess the predictors of deceased donor waitlisting or living donor transplantation within 6 months after starting KRT. Web-based mapping software was used to develop interactive geospatial maps.

resultsThe cohort was 7704 people newly starting KRT. Living in an intermediate [odds ratio (OR): 0.73 (95% confidence interval (CI): 0.61-0.88)] or remote [OR: 0.38 (95% CI: 0.27-0.54)) region and Māori (OR: 0.35 (95% CI: 0.28-0.44)], Pacific [OR: 0.32 (95% CI: 0.24-0.42)) and Asian (OR: 0.66 (95% CI: 0.50-0.87)] ethnicity were associated with a decreased likelihood of timely waitlisting or transplantation. Regional maps can be explored here.

conclusionThere is marked geospatial and ethnic variation in the epidemiology of kidney failure and access to kidney transplantation across New Zealand. Geospatial mapping of kidney failure epidemiology and transplantation outcomes can provide opportunities to direct resources towards populations at greatest need.

Indexed as

Health Services AccessibilityKidney TransplantationAdolescentAdultAgedFemaleHealthcare DisparitiesHumansInformation Storage and RetrievalKidney Failure, ChronicMaleMiddle AgedNew ZealandRenal InsufficiencyRenal Replacement TherapyWaiting Listsepidemiologygeographic information systemshealth equitykidney transplantationNew Zealand

Identifiers

PMID39467040
PMCPMC13546947

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.