ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019
Who can tolerate a marginal kidney? Predicting survival after deceased donor kidney transplant by donor-recipient combination.
Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
73 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models.Transplant international : official journal of the European Society for Organ Transplantation · 2022Pooled it
- Recipient-driven and donor-driven determinants of delayed graft function in paired kidney transplantation: evidence from a Chinese cohort.Renal failure · 2026Article
- Utilization and Outcomes of Septuagenarian Donation After Circulatory Death Donors.Transplantation direct · 2026Article
- Recipient Selection and Outcomes After Out-of-Sequence Kidney Allocation Since Implementation of Kidney Allocation System 250 (KAS250): A Single-Center Experience.Clinical transplantation · 2026Article
- Outcomes of Kidney Transplants From Standard Criteria Donors With Diabetes: A Propensity Score-Matched Study.Kidney medicine · 2026Article
- Predicting first-year kidney graft loss at the time of donor offer using machine learning and competing-risk analysis in a Latin American cohort.Clinical kidney journal · 2026Article
- Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of Nephrology.Journal of the American Society of Nephrology : JASN · 2026Review
- Eligibility, timing, and organ quality: indications and outcomes of kidney transplantation in older patients.Kidney international · 2026Review
- A Prediction Model for Risk of Death in Kidney Transplant Recipients.JAMA network open · 2026Article
- Impact of Comorbidities on the Long-Term Survival Rate of Patients Aged 60 Years and Older Undergoing Deceased Donor Kidney Transplantation Versus Continued Waitlisting.Journal of clinical medicine · 2026Article
- Donor Risk Factors Affecting Graft Survival in Pediatric Kidney Transplants: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2026Article
- Quantifying Center-level Aggressiveness in Transplanting Suboptimal, Deceased Donor Kidneys in the United States.Transplantation direct · 2026Article
- Assessing Deceased-Donor Kidneys Through Posttransplant Survival Prediction Algorithms.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026Article
- A novel machine learning approach generates personalized estimates of graft and patient survival to better inform older kidney transplant candidates.Frontiers in immunology · 2026Article
- Supporting Shared Decision-Making in Life-Altering Kidney Therapy Decisions for Older Adults: A Review.JAMA internal medicine · 2025Review
- Review
- Delayed Graft Function and Its Duration as Predictors of Medium-Term Kidney Transplant Outcomes: A Retrospective Cohort Study from an Eastern European Center.Journal of clinical medicine · 2025Article
- Decreasing efficiency in deceased donor kidney offer notifications under the new distance-based kidney allocation system.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- The effect of pre-transplant dialysis duration on the relationship between delayed graft function and recipient death.Scientific reports · 2025Article
- The dynamics of deceased donor kidney transplant decision making: insights from studying individual clinicians' offer decisions.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The impact of donor quality on post-kidney transplant (KT) survival may vary by candidate condition. Characterizing this variation would increase access to KT without sacrificing outcomes. We developed a tool to estimate post-KT survival for combinations of donor quality and candidate condition. We studied deceased donor KT recipients (n = 120 818) and waitlisted candidates (n = 376 272) between 2005 and 2016 by using the Scientific Registry of Transplant Recipients. Donor quality and candidate condition were measured by using the Kidney Donor Profile Index (KDPI) and the Estimated Post Transplant Survival (EPTS) score. We estimated 5-year post-KT survival based on combinations of KDPI and EPTS score using random forest algorithms and waitlist survival by EPTS score using Weibull regressions. Survival benefit was defined as absolute reduction in mortality risk with KT. For candidates with an EPTS score of 80, 5-year waitlist survival was 47.6%, and 5-year post-KT survival was 78.9% after receiving kidneys with a KDPI of 20 and was 70.7% after receiving kidneys with a KDPI of 80. The impact of KDPI on survival benefit varied greatly by EPTS score. For candidates with low EPTS scores (eg, <40), the KDPI had limited impact on survival benefit. For candidates with middle or high EPTS scores (eg, >40), survival benefit decreased with higher KDPI but was still substantial even with a KDPI of 100 (>16 percentage points). Our prediction tool (www.transplantmodels.com/kdpi-epts) can support individualized decision-making on kidney offers in clinical practice.
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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.