ArticleInternal and emergency medicine2015
Predictive model for delayed graft function based on easily available pre-renal transplant variables.
Article in Internal and emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Recipient-driven and donor-driven determinants of delayed graft function in paired kidney transplantation: evidence from a Chinese cohort.Renal failure · 2026Article
- The effect of pre-transplant dialysis duration on the relationship between delayed graft function and recipient death.Scientific reports · 2025Article
- Prediction of Renal Graft Function 1 Year After Adult Deceased-Donor Kidney Transplantation Using Variables Available Prior to Transplantation.Annals of transplantation · 2024Article
- An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.BMC medicine · 2024Article
- Performance of Scores Predicting Adverse Outcomes in Procurement Kidney Biopsies From Deceased Donors With Organs of Lower-Than-Average Quality.Transplant international : official journal of the European Society for Organ Transplantation · 2023Article
- Renal Function at Discharge Among Kidney Recipients Experiencing Delayed Graft Function and Its Associations With Long-term Outcomes.Transplantation direct · 2022Article
- Prediction model of delayed graft function based on clinical characteristics combined with serum IL-2 levels.BMC nephrology · 2022Article
- Oxidative Stress and Ischemia/Reperfusion Injury in Kidney Transplantation: Focus on Ferroptosis, Mitophagy and New Antioxidants.Antioxidants (Basel, Switzerland) · 2022Review
- Pre-Transplant Expression of CCR-2 in Kidney Transplant Recipients Is Associated With the Development of Delayed Graft Function.Frontiers in immunology · 2022Article
- A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China.Renal failure · 2021Observational
- Article
- Development and Validation of Nomogram for Predicting Delayed Graft Function After Kidney Transplantation of Deceased Donor.International journal of general medicine · 2021Article
- Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning.Scientific reports · 2020Article
- Living or deceased-donor kidney transplant: the role of psycho-socioeconomic factors and outcomes associated with each type of transplant.International journal for equity in health · 2020Article
- Predictive Score Model for Delayed Graft Function Based on Hypothermic Machine Perfusion Variables in Kidney Transplantation.Chinese medical journal · 2018Article
- Evaluation of predictive models for delayed graft function of deceased kidney transplantation.Oncotarget · 2018Article
- Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death.Chinese medical journal · 2017Article
- Article
- Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.BMC medical informatics and decision making · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of pre-transplant factors influencing delayed graft function (DGF) could have an important clinical impact. This could allow clinicians to early identify dialyzed chronic kidney disease (CKD) patients eligible for special transplant programs, preventive therapeutic strategies and specific post-transplant immunosuppressive treatments. To achieve these objectives, we retrospectively analyzed main demographic and clinical features, follow-up events and outcomes registered in a large dedicated dataset including 2,755 patients compiled collaboratively by four Italian renal/transplant units. The years of transplant ranged from 1984 to 2012. Statistical analysis clearly demonstrated that some recipients' characteristics at the time of transplantation (age and body weight) and dialysis-related variables (modality and duration) were significantly associated with DGF development (p ≤ 0.001). The area under the receiver-operating characteristic (ROC) curve of the final model based on the four identified variables predicting DGF was 0.63 (95 % CI 0.61, 0.65). Additionally, deciles of the score were significantly associated with the incidence of DGF (p value for trend <0.001). Therefore, in conclusion, in our study we identified a pre-operative predictive model for DGF, based on inexpensive and easily available variables, potentially useful in routine clinical practice in most of the Italian and European dialysis units.
Indexed as
Identifiers
25164408What 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.