Evidence map›Paper›PMID 35898578›Full record

ArticleCanadian journal of kidney health and disease2022

Using Administrative Health Care Databases to Identify Patients With End-Stage Kidney Disease With No Recorded Contraindication to Receiving a Kidney Transplant.

Carol Wang, Kyla L Naylor, Bin Luo, Sarah E Bota, Stephanie N Dixon, Seychelle Yohanna, Darin Treleaven, Lori Elliott, Amit X Garg

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Increasing Access to Living Donor Kidney Transplantation: A Program Report.Canadian journal of kidney health and disease · 2026
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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

9 authors at 3 institutions in 1 country.

Carol WangDivision of Nephrology, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0003-0225-8307
Kyla L NaylorICES, London, ON, Canada.ORCID https://orcid.org/0000-0002-5304-8038
Bin LuoICES, London, ON, Canada.
Sarah E BotaICES, London, ON, Canada.
Stephanie N DixonICES, London, ON, Canada.ORCID https://orcid.org/0000-0002-7566-6574
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.
Lori ElliottOntario Renal Network, Ontario Health, Toronto, Canada.
Amit X GargDivision of Nephrology, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0003-3398-3114
Western University · CAMcMaster University · CAOntario Stroke Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Administrative health care databases can be efficiently analyzed to describe the degree to which patients with end-stage kidney disease (ESKD) have access to kidney transplantation. Measures of access to transplantation are better represented when restricting to only those patients eligible to receive a kidney transplant. The way administrative data can be used to assess kidney transplant eligibility in the absence of clinical data has not been well described. Objective: To demonstrate a method that uses administrative health care databases to identify patients with ESKD who have no recorded contraindication to receiving a kidney transplant. Design and setting: Population-based cohort study using linked administrative health care databases in Ontario, Canada. Patients: Adult patients with ESKD approaching the need for dialysis (predialysis) or receiving maintenance dialysis between January 1, 2013 and March 31, 2015 in Ontario, Canada. Measurements: Recipient of a kidney-only or kidney-pancreas transplant. Methods: We assessed more than 80 baseline characteristics, including demographic information, comorbidities, kidney-specific characteristics, and referral and listing criteria for kidney transplantation. We compared these characteristics between patients who did and did not receive a kidney transplant. Results: We included 23 642 patients with ESKD (11 195 who were predialysis and 12 447 receiving maintenance dialysis). Over a median follow-up of 3.2 years (25th, 75th percentile: 1.3, 5.6), 3215 (13.6%) received a kidney-only or kidney-pancreas transplant. Of the studied characteristics available in administrative databases, >97% of patients with one or more of these characteristics did not receive a kidney transplant during follow-up: ESKD-modified Charlson Comorbidity Index score ≥7 (a higher score represents greater comorbidity), home oxygen use, age above 75 years, dementia, living in a long-term care facility, receiving at least one physician house call in the past year, and a combination of select malignancies (ie, lung, lymphoma, cervical, colorectal, liver, active multiple myeloma, and bladder cancer). Using these combined criteria reduced the total number of patients from 23 642 to 12 539 with no recorded contraindications to transplant (a 47% reduction), while the proportion who received a kidney transplant changed from 13.6% (denominator of 23 642) to 24.9% (denominator of 12 539). Limitations: Administrative databases are unable to capture all the complexities of determining transplant eligibility. Conclusion: We identified several criteria available within administrative health care databases that can be used to identify patients with ESKD who have no recorded contraindications to kidney transplant. These criteria could be applied when reporting measures of access to kidney transplantation that require knowledge of transplant eligibility.

Indexed as

health care databaseskidney transplant eligibility

Identifiers

PMID35898578
PMCPMC9309776
OpenAlexW4286454738

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.