Evidence map›Paper›PMID 27014467›Full record

ArticleCanadian journal of kidney health and disease2016

The Canadian experience using the expanded criteria donor classification for allocating deceased donor kidneys for transplantation.

Ann Young, Stephanie N Dixon, Greg A Knoll, Amit X Garg, Charmaine E Lok, Ngan N Lam, S Joseph Kim

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?Canadian journal of kidney health and disease · 2018
    Article
  7. Review
  8. Article
  9. 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

7 authors at 4 institutions in 1 country.

Ann YoungDepartment of Medicine, University of Toronto, Toronto, Ontario Canada.
Stephanie N DixonInstitute for Clinical Evaluative Sciences, Ontario, Canada.
Greg A KnollInstitute for Clinical Evaluative Sciences, Ontario, Canada ; Division of Nephrology, University of Ottawa, Ottawa, Ontario Canada.
Amit X GargInstitute for Clinical Evaluative Sciences, Ontario, Canada ; Division of Nephrology, Western University, London, Ontario Canada.
Charmaine E LokDepartment of Medicine, University of Toronto, Toronto, Ontario Canada ; Institute for Clinical Evaluative Sciences, Ontario, Canada ; Division of Nephrology, Toronto General Hospital, University Health Network, University of 585 University Avenue, 11-PMB-129 Toronto, Ontario Canada.
Ngan N LamDivision of Nephrology, University of Alberta, Edmonton, Alberta Canada.
S Joseph KimDepartment of Medicine, University of Toronto, Toronto, Ontario Canada ; Institute for Clinical Evaluative Sciences, Ontario, Canada ; Division of Nephrology, Toronto General Hospital, University Health Network, University of 585 University Avenue, 11-PMB-129 Toronto, Ontario Canada.
Institute for Clinical Evaluative Sciences · CAUniversity of Toronto · CAUniversity Health Network · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the outcomes of transplantation with expanded criteria donor (ECD) kidneys are inferior to non-ECD transplants in the USA, the impact of the ECD classification on Canadian kidney transplant recipients is not known.

objectivesThe objective of the study was to assess the performance of the US-derived ECD classification among deceased donor kidney transplant recipients in a Canadian setting.

designThis study was a population-based cohort study.

settingThe study was conducted in all adult kidney transplant centers in the province of Ontario. PATIENTS: The patients were incident-deceased donor kidney transplant recipients from January 1, 2005 to March 31, 2011. MEASUREMENTS: Study subjects were identified through the Trillium Gift of Life Network and linked to healthcare databases in Ontario. ECD status was based on age, hypertension, kidney function, and stroke-related death. Outcomes of interest included graft loss, death, and delayed graft function.

methodsThe Kaplan-Meier product limit method was used to graphically assess time to graft loss or death. Multivariable Cox proportional hazards models were used to assess graft loss or death as a function of ECD status. Multivariable logistic regression models were fitted for the outcome of delayed graft function.

resultsOf 1422 deceased donor kidney transplants, 325 (23 %) were from ECDs. The median donor age was 63 vs. 42 years for ECD vs. non-ECD, respectively. The 5-year cumulative incidence of total graft loss was 29.2 % in ECD and 20.7 % in non-ECD kidney transplants. The relative hazards for total graft loss (HR 1.48 [95 % CI, 1.10; 2.00]) and death-censored graft loss (HR 1.80 [95 % CI, 1.19, 2.71]) were increased in ECD vs. non-ECD transplants. Increased relative risks were also observed for death and delayed graft function, albeit not statistically significant. LIMITATIONS: Although comprehensive in coverage and outcome ascertainment, the available details on covariate data may be limited in large healthcare databases.

conclusionsThe ECD classification identifies kidneys at increased risk for graft loss in Canadian patients. The performance of more granular measures of donor risk (e.g., Kidney Donor Risk Index) and its impact on organ allocation/utilization in Canadian patients requires further study.

Identifiers

PMID27014467
PMCPMC4806479
OpenAlexW2312039708

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.