Trial reportBMC nephrology2015
A personalized follow-up of kidney transplant recipients using video conferencing based on a 1-year scoring system predictive of long term graft failure (TELEGRAFT study): protocol for a randomized controlled trial.
Trial report in BMC nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01615900 (Randomized Open Label Study Evaluating the Coverage by Teleconsultation Versus Standard Follow-up of Renal Transplant Patients According to a Risk Score of Early Graft Failure), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.
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.
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.
Randomized Open Label Study Evaluating the Coverage by Teleconsultation Versus Standard Follow-up of Renal Transplant Patients According to a Risk Score of Early Graft Failure (KTFS)
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Effectiveness of IT-based interventions on self-management in adult kidney transplant recipients: a systematic review.BMC medical informatics and decision making · 2021Pooled it
- eHealth interventions for people with chronic kidney disease.The Cochrane database of systematic reviews · 2019Pooled it
- On the Importance of a Clear Definition of Time Horizon for Time-to-Event Dynamic Predictions: A Systematic Review and a Concrete Illustration in Kidney Transplantation.Clinical epidemiology · 2026Article
- Telemedicine for Outpatient Care of Kidney Transplant and CKD Patients.Kidney international reports · 2021Article
- Article
- Terminally Differentiated Effector Memory CD8Journal of the American Society of Nephrology : JASN · 2020Article
- The EKiTE network (epidemiology in kidney transplantation - a European validated database): an initiative epidemiological and translational European collaborative research.BMC nephrology · 2019Article
- The Use of Video Conferencing for Persons with Chronic Conditions: A Systematic Review.E-health telecommunication systems and networks · 2016Article
- Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts.PloS one · 2016Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous well-established clinical parameters are taken into consideration for the follow-up adaptation of kidney transplant recipients, but there are important disparities between countries, centres and clinicians. Therefore, novel scoring systems have been developed, for instance the Kidney Transplant Failure Score (KTFS) which aims to stratify patients according to their risk of return to dialysis. We hypothesize that the efficiency of the follow-up after one year post-transplantation can be improved by adapting it to the risk of graft failure defined by the KTFS estimation. METHODS/
designWe propose a phase IV, open label, randomized, multicentric and prospective study. The study is registered with the Clinical Trials Registry NCT01615900. 250 patients will be allocated to one of two arms: the eHealth program versus the standard of care at hospital. In the standard group, patients classified at low-risk (KTFS ≤ 4.17) will be scheduled 4 visits at hospital per year, whilst high-risk patients will visit hospital 6 times. In the eHealth group, patients classified at low-risk will be interviewed 3 times by video conferencing and once at hospital, whilst 6 visits at hospital and 6 video conferencing will be scheduled for high-risk patients. DISCUSSION: The current study allows to scientifically evaluate the etiologic impact of a novel eHealth program. This is important to clarify the possible contribution of telemedicine in the improvement of medical follow-up. The proposed design based on 4 different sub-groups can be interesting to evaluate other personalized medicine programs.
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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.