Evidence map›Paper›PMID 42254852›Full record

ArticleKidney international reports2026

Correlates of Pretransplant Outcomes in United States Kidney Transplant Programs, 2015 to 2020.

Gomathy Parvathinathan, Suman Mohanty, Margaret R Stedman, Kunyao Xu, Avi Dor, Itai Ashlagi, Xingxing S Cheng

Abstract read
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gomathy ParvathinathanDepartment of Medicine, Stanford University School of Medicine, Division of Nephrology, Palo Alto, California, USA.
Suman MohantyDepartment of Medicine, Stanford University School of Medicine, Division of Nephrology, Palo Alto, California, USA.
Margaret R StedmanDepartment of Medicine, Stanford University School of Medicine, Division of Nephrology, Palo Alto, California, USA.
Kunyao XuMilken Institute School of Public Health, George Washington University, Washington DC, USA.
Avi DorMilken Institute School of Public Health, George Washington University, Washington DC, USA.
Itai AshlagiDepartment of Management Science and Engineering, Stanford University, Stanford, California, USA.
Xingxing S ChengDepartment of Medicine, Stanford University School of Medicine, Division of Nephrology, Palo Alto, California, USA.

Funding

Improving Kidney Transplant Outcomes and Reducing Costs of Care through Better Pretransplant OperationsR01DK141913 · NIDDK · STANFORD UNIVERSITY · PI CHENG, XINGXING SHELLEY · 2025 to 2025
$1.5M
The Role of Pretransplant Services on Outcomes and Costs in Kidney TransplantationR03DK134795 · NIDDK · STANFORD UNIVERSITY · PI CHENG, XINGXING SHELLEY · 2023 to 2024
$244k
NIDDK NIH HHS R01 DK141913NIDDK NIH HHS R03 DK134795
6 · The paper itself

Abstract

Introduction: Increasing access to kidney transplantation for patients with end-stage renal disease is a high priority in the United States. Recent policy changes to promote this include establishment of performance metrics examining the pretransplant performance of kidney transplant programs, but little is known about transplant program practices associated with these performance metrics. Our goal is to characterize waitlist attributes associated with the newly established pretransplant performance metrics at adult kidney transplant programs. Methods: We conducted a retrospective cohort analysis using completed case national data from the Scientific Registry of Transplant Recipients (SRTR). Exposures included deceased donor kidney waitlist attributes such as waitlist prevalence, waitlist incidence, percentage of incidence patients who are made status active, and transplant priority scores at key points including activation. Outcomes included pretransplant mortality rate ratio (PMRR) and organ acceptance rate ratio (OARR), as defined by the Organ Procurement Transplant Network (OPTN) Membership and Professional Standards Committee, for each transplant program-year. Results: Our study included 1268 transplant program-years from 2015 to 2020, representing 220 unique adult kidney transplant programs. Higher offer acceptance was associated with fewer patients on the waitlist (1.4% increase per every 100-patient decrease) and a higher percentage of patients receiving an offer within 90 days of activation (24.0% increase per 10% increase in the percent of patients receiving offers). Lower pretransplant mortality was associated with fewer patients on the waitlist (1.4% decrease per 100-patient decrease). Conclusion: A larger waitlist was associated with both higher pretransplant mortality and lower offer acceptance. Transplant programs behaviors underlying waitlist attributes associated with better or worse outcomes warrant additional investigation.

Indexed as

kidney waitlist programspre-transplant outcomesSRTR

Identifiers

PMID42254852
PMCPMC13235351

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Registered trials

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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.