ArticleRenal failure2025
Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Early posttransplant rituximab use in kidney transplant recipients with preexisting donor-specific antibodies.Renal failure · 2026Article
- From assistant to collaborator: A systematic review of the evolution of artificial intelligence in end-stage renal disease care and management.PLOS digital health · 2026Article
- The evolving field of nephrology: what comes next? A report from the European Renal Association Scientific Advisory Board.Clinical kidney journal · 2026Review
- Literature-informed ensemble machine learning for three-year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model.Diabetes, obesity & metabolism · 2026Article
- Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants.Proceedings of machine learning research · 2026Article
- Artificial intelligence, machine learning, telemedicine, and digital transformation in nephrology and transplantation.Renal failure · 2025Article
- Impact of IgG monitoring and machine learning based prediction on outcomes of ABO incompatible kidney transplantation in blood type O recipients.Scientific reports · 2025Article
- Artificial Intelligence-Driven Drug Toxicity Prediction: Advances, Challenges, and Future Directions.Toxics · 2025Review
- Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation.BMC nephrology · 2025Article
- Optimizing Tacrolimus Dosing During Hospitalization After Kidney Transplantation: A Comparative Model Analysis.Annals of transplantation · 2025Article
- A Brief Review of Artificial Intelligence in Living Kidney Donation.Transplant international : official journal of the European Society for Organ Transplantation · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Indexed as
Identifiers
What OpenQuestion holds
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.