ArticleAging2021
A simple-to-use web-based calculator for survival prediction in Parkinson's disease.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Linear predictive coding electroencephalography algorithms predict mortality in Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Prognostic model for aneurysmal subarachnoid hemorrhage patients requiring mechanical ventilation.Annals of clinical and translational neurology · 2023Article
- Article
- Predicting mortality in acute kidney injury patients undergoing continuous renal replacement therapy using a visualization model: A retrospective study.Frontiers in physiology · 2022Article
- An easy-to-operate web-based calculator for predicting the progression of chronic kidney disease.Journal of translational medicine · 2021Article
- An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Adenocarcinoma.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo establish and validate a nomogram and corresponding web-based calculator to predict the survival of patients with Parkinson's disease (PD).
methodsIn this cohort study, we retrospectively evaluated patients (n=497) with PD using a two-stage design, from March 2004 to November 2007 and from July 2005 to July 2015. Predictive variables included in the model were identified by univariate and multiple Cox proportional hazard analyses in the training set.
resultsIndependent prognostic factors including age, PD duration, and Hoehn and Yahr stage were determined and included in the model. The model showed good discrimination power with the area under the curve (AUC) values generated to predict 4-, 6-, and 8-year survival in the training set being 0.716, 0.783, and 0.814, respectively. In the validation set, the AUCs of 4- and 6-year survival predictions were 0.85 and 0.924, respectively. Calibration plots and decision curve analysis showed good model performance both in the training and validation sets. For convenient application, we established a web-based calculator (https://tangyl.shinyapps.io/PDprognosis/).
conclusionsWe developed a satisfactory, simple-to-use nomogram and corresponding web-based calculator based on three relevant factors to predict prognosis and survival of patients with PD. This model can aid personalized treatment and clinical decision-making.
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