SynthesisTheScientificWorldJournal2014
Validity of cardiovascular risk prediction models in kidney transplant recipients.
Synthesis in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- A structured, home-based exercise programme in kidney transplant recipients (ECSERT): A randomised controlled feasibility study.PloS one · 2025Trial
- Dyslipidemia in Transplant Patients: Which Therapy?Journal of clinical medicine · 2022Review
- Influence of Belatacept- vs. CNI-Based Immunosuppression on Vascular Stiffness and Body Composition.Journal of clinical medicine · 2022Article
- Risk of post-transplant cardiovascular events in kidney transplant recipients with preexisting aortoiliac stenosis.Clinical transplantation · 2022Article
- Article
- The Framingham Risk Score Is Associated with Chronic Graft Failure in Renal Transplant Recipients.Journal of clinical medicine · 2021Article
- Validation of the REduction of Atherothrombosis for Continued Health (REACH) prediction model for recurrent cardiovascular disease among United Arab Emirates Nationals.BMC research notes · 2020Article
- Myocardial ischemia by radionuclide imaging and long-term outcomes after kidney transplantation.International urology and nephrology · 2020Observational
- Serum Osteocalcin Level is Negatively Associated with Vascular Reactivity Index by Digital Thermal Monitoring in Kidney Transplant Recipients.Medicina (Kaunas, Lithuania) · 2020Article
- Association of soluble ST2 with all-cause and cardiovascular mortality in renal transplant recipients: a single-centre cohort study.BMC nephrology · 2020Article
- Development and future deployment of a 5 years allograft survival model for kidney transplantation.Nephrology (Carlton, Vic.) · 2019Article
- Cardiovascular risk in renal transplant recipients.Journal of nephrology · 2019Review
- Pros and Cons of Aspirin Prophylaxis for Prevention of Cardiovascular Events in Kidney Transplantation and Review of Evidence.Advances in preventive medicine · 2019Review
- Elevated Circulating Interleukin 33 Levels in Stable Renal Transplant Recipients at High Risk for Cardiovascular Events.PloS one · 2015Article
- Clinical Significance of Pre-Transplant Arterial Stiffness and the Impact of Kidney Transplantation on Arterial Stiffness.PloS one · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting cardiovascular risk is of great interest in renal transplant recipients since cardiovascular disease is the leading cause of mortality.
objectiveTo conduct a systematic review to assess the validity of cardiovascular risk prediction models in this population.
methodsFive databases were searched (MEDLINE, EMBASE, SCOPUS, CINAHL, and Web of Science) and cohort studies with at least one year of follow-up were included. Variables that described population characteristics, study design, and prognostic performance were extracted. The Quality in Prognostic Studies (QUIPS) tool was used to evaluate bias.
resultsSeven studies met the criteria for inclusion, of which, five investigated the Framingham risk score and three used a transplant-specific model. Sample sizes ranged from 344 to 23,575, and three studies lacked sufficient event rates to confidently reach conclusion. Four studies reported discrimination (as measured by c-statistic), which ranged from 0.701 to 0.75, while only one risk model was both internally and externally validated.
conclusionThe Framingham has underestimated cardiovascular events in renal transplant recipients, but these studies have not been robust. A risk prediction model has been externally validated at least on one occasion, but comprehensive validation in multiple cohorts and impact analysis are recommended before widespread clinical application is advocated.
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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.