Evidence map›Paper›PMID 40144936›Full record

ArticleCanadian journal of kidney health and disease2025

Defining Referral for a Kidney Transplant Evaluation as a Quality Indicator: A Population-Based Cohort Study.

Kyla L Naylor, S Joseph Kim, Bin Luo, Carol Wang, Amit X Garg, Seychelle Yohanna, Darin Treleaven, Susan McKenzie, Jane Ip, Rebecca Cooper and 2 more

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kyla L NaylorICES Western, London Health Sciences Centre Research Institute, ON, Canada.ORCID https://orcid.org/0000-0002-5304-8038
S Joseph KimDivision of Nephrology and Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
Bin LuoICES Western, London Health Sciences Centre Research Institute, ON, Canada.ORCID https://orcid.org/0000-0002-0608-9793
Carol WangDivision of Nephrology, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0003-0225-8307
Amit X GargICES Western, London Health Sciences Centre Research Institute, ON, Canada.ORCID https://orcid.org/0000-0003-3398-3114
Seychelle YohannaDivision of Nephrology, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0003-0404-7319
Darin TreleavenDivision of Nephrology, McMaster University, Hamilton, ON, Canada.
Susan McKenzieKidney Patient and Donor Alliance Canada, Kitchener, ON, Canada.
Jane IpOntario Renal Network, Ontario Health, Toronto, Canada.
Rebecca CooperOntario Renal Network, Ontario Health, Toronto, Canada.
Nadiyah RehmanICES Western, London Health Sciences Centre Research Institute, ON, Canada.
Gregory KnollDivision of Nephrology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quality indicators are required to identify gaps in care and to improve equitable access to kidney transplants. Referral to a transplant center for an evaluation is the first step toward receiving a kidney transplant, yet widespread reporting on this metric is lacking. Objective: The objective was to use administrative health care databases to examine multiple ways to define referral for a kidney transplant evaluation by varying clinical inclusion criteria, definitions for end of follow-up, and statistical methodologies. Design: This is a population-based cohort study. Setting: This study linked administrative health care databases in Ontario, Canada. Patients: Adults from Ontario, Canada, with advanced chronic kidney disease (CKD) between April 1, 2017, and March 31, 2018. Measurements: The primary outcome was the 1-year cumulative incidence of kidney transplant referral. Methods: We created several patient cohort definitions, varying patient transplant eligibility by health status (eg, whether patients had a recorded contraindication to transplant). We presented results by advanced CKD status (ie, patients approaching the need for dialysis vs receiving maintenance dialysis) and by method of cohort entry (ie, incident only vs prevalent and incident patients combined), resulting in 12 unique cohorts. Results: Sample size varied substantially from 414 to 4128 depending on the patient cohort definition, with the largest reduction in cohort size occurring when we restricted to a "healthy" (eg, no evidence of cardiovascular disease) group of patients. The 1-year cumulative incidence of transplant referral varied widely across cohorts. For example, in the incident maintenance dialysis population, the cumulative incidence varied more than 2-fold from 16.3% (95% confidence interval [CI] = 15.0%-17.7%) using our most inclusive cohort definition to 40.0% (95% CI = 36.0%-44.5%) using our most restrictive "healthy" cohort of patients. Limitations: Administrative data may have misclassified individuals' eligibility for kidney transplant. Conclusions: These results can be used by jurisdictions to measure transplant referral, a necessary step in kidney transplantation that is not equitable for all patients. Adoption of these indicators should drive quality improvement efforts that increase the number of patients referred for transplantation and ensure equitable access for all patient groups.

Indexed as

administrative health care databaseskidney transplantkidney transplant referralmetricsquality indicators

Identifiers

PMID40144936
PMCPMC11938484

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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.