ArticleKidney international reports2023
Considerable Variability Among Transplant Nephrologists in Judging Deceased Donor Kidney Offers.
Article in Kidney international reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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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
7 citing papers in PubMed, 10 citations in OpenAlex.
- Real-time Quality Assessment of Donor Kidneys During Normothermic Machine Perfusion Using Perfusate and Urinary Biomarkers.Transplantation direct · 2026Article
- Factors influencing the acceptance of deceased donor kidney transplant offers in children-a vignette survey.Clinical kidney journal · 2026Article
- Magnetic Resonance Imaging Evaluation of Functional Differences Between In Vivo Human Kidneys and Discarded Human Kidneys During Ex Vivo Normothermic Machine Perfusion.Artificial organs · 2026Article
- Deceased kidney donor cystatin C and subsequent recipient measured glomerular filtration rate at one year after transplantation.PloS one · 2026Article
- When impact trials are not feasible: alternatives to study the impact of prediction models on clinical practice.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Article
- Integrated transcriptomics and histopathology approach identifies a subset of rejected donor livers with potential suitability for transplantation.BMC genomics · 2024Article
- Article
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Transplant clinicians may disagree on whether or not to accept a deceased donor kidney offer. We investigated the interobserver variability between transplant nephrologists regarding organ acceptance and whether the use of a prediction model impacted their decisions. Methods: We developed an observational online survey with 6 real-life cases of deceased donor kidneys offered to a waitlisted recipient. Per case, nephrologists were asked to estimate the risk of adverse outcome and whether they would accept the offer for this patient, or for a patient of their own choice, and how certain they felt. These questions were repeated after revealing the risk of adverse outcome, calculated by a validated prediction model. Results: Sixty Dutch nephrologists completed the survey. The intraclass correlation coefficient of their estimated risk of adverse outcome was poor (0.20, 95% confidence interval [CI] 0.08-0.62). Interobserver agreement of the decision on whether or not to accept the kidney offer was also poor (Fleiss kappa 0.13, 95% CI 0.129-0.130). The acceptance rate before and after providing the outcome of the prediction model was significantly influenced in 2 of 6 cases. Acceptance rates varied considerably among transplant centers. Conclusion: In this study, the estimated risk of adverse outcome and subsequent decision to accept a suboptimal donor kidney varied greatly among transplant nephrologists. The use of a prediction model could influence this decision and may enhance nephrologists' certainty about their decision.
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Registered trials
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.