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Record W4416253901 · doi:10.1053/j.ajkd.2025.09.013

Access to Kidney Transplantation in Adults With Severe Obesity: A Population-Based Retrospective Cohort Study

2025· article· en· W4416253901 on OpenAlexafffundabout
Natasha Wiebe, Stephanie Thompson, Ngan N. Lam, Marcello Tonelli

Bibliographic record

VenueAmerican Journal of Kidney Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsFoothills Medical CentreUniversity of CalgaryUniversity of Alberta
FundersUniversity of AlbertaUniversity of Calgary
KeywordsContraindicationRetrospective cohort studyKidney transplantationDialysisBody mass indexObesityCohort studyTransplantationNephrology

Abstract

fetched live from OpenAlex

RATIONALE & OBJECTIVE: International guidelines do not consider moderate or severe obesity to be a contraindication to kidney transplantation, but clinical practice suggests otherwise. This study evaluated the likelihood of kidney transplantation in patients with moderate or severe obesity and how that likelihood compared with patients with other risk factors. STUDY DESIGN: Retrospective population-based cohort study. SETTING & PARTICIPANTS: 96,181 adults with kidney failure, living in Canada between 2000 and 2021. EXPOSURE: Moderate or severe obesity and other risk factors (eg, age groups, diabetes, heart disease). OUTCOME: Time to transplantation and time to allograft failure or death. ANALYTICAL APPROACH: Parametric survival modeling, adjusting for all risk factors. RESULTS: ) (HR, 0.43 [95% CI, 0.39-0.47] and HR, 0.76 [95% CI, 0.71-0.82], respectively). Of 39 characteristics/categories considered, only participants aged ≥80 years were less likely to receive a transplant than those with severe obesity. Transplant recipients were followed for a median of 5.4 years. After those aged ≥65 years, participants with severe obesity were the most likely to experience allograft failure or death (HR, 1.70 [95% CI, 1.38-2.02] compared with controls). When we considered combinations of key risk factors, young participants with severe or moderate obesity and few comorbidities were at lower risk for allograft failure or death than participants with other common clinical characteristics. LIMITATIONS: Residual confounding. CONCLUSIONS: Canadian dialysis patients with moderate or severe obesity had a markedly reduced likelihood of receiving a kidney transplant. Although patients with moderate or severe obesity also had a heightened risk of allograft failure or death, the magnitude of the latter was similar to the excess risk associated with other common clinical characteristics. These findings support current practice guidelines and suggest that further work should identify and remove barriers to accessing kidney transplantation among patients with obesity. PLAIN-LANGUAGE SUMMARY: , respectively) to be a contraindication to kidney transplantation, but clinical practice suggests otherwise. Canadian dialysis patients with moderate or severe obesity had a reduced likelihood of receiving a kidney transplant (24% and 57%, respectively). Although patients with moderate or severe obesity also had a heightened risk of allograft failure or death (36% and 70%, respectively), the magnitude of the latter was similar to the excess risk associated with other common clinical characteristics that do not exclude a patient from kidney transplantation. These findings support current practice guidelines and suggest that further work should identify and remove barriers to accessing kidney transplantation among patients with moderate and severe obesity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.293
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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