ReviewExpert review of molecular diagnostics2010
Molecular pathways involved in loss of graft function in kidney transplant recipients.
Review in Expert review of molecular diagnostics, 2010. 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, 17 citations in OpenAlex.
- Trial
- Dysregulation of Th17 cells during the early post-transplant period in patients under calcineurin inhibitor based immunosuppression.PloS one · 2012Trial
- Rejection-Focused Precision Medicine in Kidney Transplantation: Biology, Biomarkers, and Artificial Intelligence.Life (Basel, Switzerland) · 2026Review
- Renal Allograft Pathology Classifications: Contemporary Updates and Diagnostic Utility.Cureus · 2025Review
- Immunological benefits by ginseng through reciprocal regulation of Th17 and Treg cells during cyclosporine-induced immunosuppression.Journal of ginseng research · 2016Article
- Epigenetics in Kidney Transplantation: Current Evidence, Predictions, and Future Research Directions.Transplantation · 2016Review
- MicroRNA profiles in allograft tissues and paired urines associate with chronic allograft dysfunction with IF/TA.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2011Article
- Gene expression changes are associated with loss of kidney graft function and interstitial fibrosis and tubular atrophy: diagnosis versus prediction.Transplantation · 2011Article
- Identifying biomarkers as diagnostic tools in kidney transplantation.Expert review of molecular diagnostics · 2011Article
- Assessment of kidney organ quality and prediction of outcome at time of transplantation.Seminars in immunopathology · 2011Review
- Transplantomics and biomarkers in organ transplantation: a report from the first international conference.Transplantation · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Interstitial fibrosis (IF) and tubular atrophy (TA) are integral parts of chronic allograft dysfunction and represent in the new classification a separate entity with or without the identification of a specific etiology. Loss of kidney graft function with IF/TA is one of the causes of most kidney allograft losses. Despite progress in immunosuppression, chronic allograft dysfunction remains the main clinical challenge for improving long-term graft survival. The sustained damage to the allograft does not represent a single entity but the summated effects of tissue injury from several pathogenic insults, as well as the kidney's healing response, modified by alloimmunity and immunosuppression. A major challenge in the future of kidney transplantation includes the study of chronic allograft dysfunction pathogenesis to identify early markers of disease progression, as well as potential therapeutics pathways.
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.