Evidence map›Paper›PMID 41975097›Full record

ArticleCommunications medicine2026

Pre-dialysis care and access type are associated with transplant referral, evaluation, and waitlisting.

Jessica L Harding, Chengcheng Hu, Laura McPherson, Maxime Raffray, Mohammad Kazem Fallahzadeh, Stephen O Pastan, Rachel E Patzer, Sahar Bayat-Makoei, Megan Urbanski

Abstract read
In one paragraph

Article in Communications medicine, 2026. 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

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jessica L HardingDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Jessica.harding@emory.edu.ORCID http://orcid.org/0000-0002-6664-8630
Chengcheng HuDepartment of Surgery, Emory University School of Medicine, Atlanta, GA, USA.
Laura McPhersonCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, GA, USA.
Maxime RaffrayDivision of Clinical Epidemiology, Karolinska Institute, Solna, Sweden.
Mohammad Kazem FallahzadehSection of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Stephen O PastanDepartment of Medicine, Renal Division, Emory University School of Medicine, Atlanta, GA, USA.
Rachel E PatzerRegenstrief Institute, Indianapolis, IN, USA.
Sahar Bayat-MakoeiCNRS, Inserm, Arènes-UMR 6051, RMS-U1309, École des hautes études en santé publique, Rennes, France.
Megan UrbanskiDepartment of Surgery, Emory University School of Medicine, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-5054-0716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuboptimal dialysis initiation is associated with adverse patient outcomes. Whether it is also associated with access to downstream transplant care is unknown.

methodsAdults initiating dialysis treatment for kidney failure in the Southeast U.S., from 1/1/2015 to 12/31/2019 were identified from the United States Renal Data System, linked to the Early Steps to Transplant Access Registry, and followed through 12/31/2021. The primary exposure was pre-dialysis care and categorized as highly, moderately, minimally, or non-optimal based on presence of nephrology care, dialysis type (in-center or home hemodialysis, peritoneal dialysis), and vascular access vs. catheter. Primary outcomes were referral to a transplant center within 12-months of dialysis initiation and evaluation start at a transplant center within 6 months of first referral. Multivariable competing risk models quantified the association between pre-dialysis care context and referral and evaluation.

resultsAmong 49,057 patients initiating dialysis, 28.8%, 15.5%, 31.0%, and 24.8% are highly, moderately, minimally, and non-optimal start, respectively. Patients initiating dialysis in moderately, minimally, and non-optimal ways are 28% (adjusted hazard ratio: 0.72, [95% CI: 0.69 - 0.72], 31% (0.69, [0.66 - 0.71], and 57% (0.43, [0.41 - 0.44]) less likely to be referred as compared with highly optimal starters. Those who had a non-optimal start are also 37% less likely to start the evaluation after being referred (0.63, [0.59 - 0.66]) as compared with highly optimal dialysis starters, while all other groups have a similar likelihood.

conclusionsMore than half of U.S. adults with kidney failure initiate dialysis in a minimal or non-optimal way leading to reduced likelihood of transplant referral and evaluation.

Identifiers

PMID41975097
PMCPMC13260918

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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.