ReviewJournal of the American Society of Nephrology : JASN2018
Precision Transplant Medicine: Biomarkers to the Rescue.
Review in Journal of the American Society of Nephrology : JASN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05335538 (The Role of TruGraf® to Optimize Outcomes in Pediatric Renal Transplantation), which is not on this map. Cited by 54 papers, 1 of them a synthesis that pooled 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.
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.
The Role of TruGraf® to Optimize Outcomes in Pediatric Renal Transplantation
Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Efficacy of Integrated Risk Score Using Omics-Based Biomarkers for the Prediction of Acute Rejection in Kidney Transplantation: A Randomized Prospective Pilot Study.International journal of molecular sciences · 2024Trial
- Trial
- Circulating cell-free nucleosomes as biomarker for kidney transplant rejection: a pilot study.Clinical epigenetics · 2021Trial
- Uromodulin and microRNAs in Kidney Transplantation-Association with Kidney Graft Function.International journal of molecular sciences · 2020Trial
- Clinical Relevance of Donor-Derived Cell-Free DNA in Monitoring Kidney Transplant Rejection.Journal of the American Society of Nephrology : JASN · 2026Observational
- Urinary CXCL9 Across the Spectrum of Kidney Allograft Inflammation.Kidney international reports · 2026Article
- Urinary Microbiome Characteristics in Kidney Transplant Recipients and Their Clinical Implications: A Narrative Review.Annals of transplantation · 2026Review
- Update on diagnostic and therapeutic strategies for antibody-mediated rejection in kidney transplantation.World journal of transplantation · 2026Review
- Early Elevations in Donor-derived Cell-free DNA are Associated With Increased Risk of Future Rejection and Graft Dysfunction After Kidney Transplant.Transplantation direct · 2026Article
- Biomarker Prediction of Delayed Graft Function and Prognosis Post-Kidney Transplantation.Kidney international reports · 2026Article
- The obese transplant organ recipient: experimental and clinical evidence for tailored immunosuppression.Transplant international : official journal of the European Society for Organ Transplantation · 2026Review
- Detection of Kidney Allograft Rejection Using Urinary Chemokines.Journal of the American Society of Nephrology : JASN · 2025Article
- A New Prognostic Score Based on Cell-Mediated Immunity for Cytomegalovirus Infection After Transplantation.Kidney international reports · 2025Article
- The New Horizon: A Viewpoint of Novel Drugs, Biomarkers, Artificial Intelligence, and Self-Management in Improving Kidney Transplant Outcomes.Journal of clinical medicine · 2025Article
- Identification and Cross-Platform Validation of Sparse Molecular Classifiers for Antibody-Mediated and T-Cell-Mediated Rejection After Kidney Transplantation.Kidney international reports · 2025Article
- Genomic and Biomarker Innovations in Predicting Kidney Transplant Rejection.Journal of clinical medicine · 2025Review
- Association of Blood Donor-derived Cell-free DNA Levels With Banff Scores and Histopathological Lesions in Kidney Allograft Biopsies: Results From an Observational Study.Transplantation direct · 2025Article
- Combination Automated Microfluidics Measurement of Urine C-C Motif Ligand 2, CXC-Motif Chemokine 9, CXC-Motif Chemokine 10, and Vascular Endothelial Growth Factor A for Monitoring Patients with a Kidney Transplant.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- A Scoping Review of Precision Medicine in Breast Reconstruction (2011-2025).Journal of personalized medicine · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept that individuals with the same disease and a similar clinical presentation may have very different outcomes and need very different therapies is not novel. With the development of many innovative tools derived from the omics technologies, transplant medicine is slowly entering the era of precision medicine. Biomarkers are the cornerstone of precision medicine, which aims to integrate biomarkers with traditional clinical information and tailor medical care to achieve the best outcome for an individual patient. Here, we discuss the basic concepts of precision medicine and biomarkers, with a specific focus on progress in renal transplantation. We delineate the different types of biomarkers and provide a general assessment of the current applications and shortcomings of previously proposed biomarkers. We also outline the potential of precision medicine in transplantation. Moving toward precision medicine in the field of transplantation will require transplant physicians to embrace the increased complexity and expanded decision algorithms and therapeutic options that are associated with improved disease nosology.
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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.