ArticleKidney international reports2017
One- and 2-Year Mortality Prediction for Patients Starting Chronic Dialysis.
Article in Kidney international reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mortality Risk Prediction Models for People With Kidney Failure: A Systematic Review.JAMA network open · 2025Pooled it
- The Lack of a Standardized Definition of Chronic Dialysis Treatment in German Statutory Health Insurance Claims Data—Effects on Estimated Incidence and Mortality.Deutsches Arzteblatt international · 2024Observational
- Data-driven, two-stage machine learning algorithm-based prediction scheme for assessing 1-year and 3-year mortality risk in chronic hemodialysis patients.Scientific reports · 2023Observational
- Patient-focused outcomes after initiation of dialysis for ESRD: mortality, hospitalization and functional impairment.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023Observational
- Predicting outcomes in chronic kidney disease: needs and preferences of patients and nephrologists.BMC nephrology · 2023Article
- Predicting mortality after start of long-term dialysis-International validation of one- and two-year prediction models.PloS one · 2023Article
- Article
- Predicting 3-month and 1-year mortality for patients initiating dialysis: a population-based cohort study.Journal of nephrology · 2022Article
- Article
- Development and validation of a novel score to predict dialysis inadequacy in continuous ambulatory peritoneal dialysis patients.The Journal of international medical research · 2021Article
- Normal white blood cell counts predict long-term mortality of hemodialysis patients.International urology and nephrology · 2020Observational
- Development of a risk prediction model for infection-related mortality in patients undergoing peritoneal dialysis.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMortality risk of patients with end-stage renal disease (ESRD) is highly elevated. Methods to estimate individual mortality risk are needed to provide individualized care and manage expanding ESRD populations. Many mortality prediction models exist but have shown deficiencies in model development (data comprehensiveness, validation) and in practicality. Therefore, our aim was to design 2 easy-to-apply prediction models for 1- and 2-year all-cause mortality in patients starting long-term renal replacement therapy (RRT).
methodsWe used data from the Finnish Registry for Kidney Diseases with complete national coverage of RRT patients. Model training group included all incident adult patients who started long-term dialysis in Finland in 2000 to 2008 (n
resultsWe developed 2 prognostic models, both of which only included 6 to 7 variables (age at RRT start, ESRD diagnosis, albumin, phosphorus, C-reactive protein, heart failure, and peripheral vascular disease) and showed sufficient discrimination (c-statistic 0.77 and 0.74 for 1- and 2-year mortality, respectively). Due to a significantly lower mortality in the newer cohort, the models, to a degree, overestimated mortality risk. DISCUSSION: Mortality prediction algorithms could be more widely implemented into management of ESRD patients. The presented models are practical with only a limited number of variables and fairly good performance.
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