ArticleJournal of Parkinson's disease2023
Nomogram to Predict the Probability of Functional Dependence in Early Parkinson's Disease.
Article in Journal of Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Risk factors and nomogram to predict skip metastasis in papillary thyroid carcinoma.Gland surgery · 2024Article
- Pharmacotherapy for Disease Modification in Early Parkinson's Disease: How Early Should We Be?Journal of Parkinson's disease · 2024Review
- A parsimonious nomogram for individualized prediction of 1-year functional outcome after STN-DBS in Parkinson's disease: a single-center retrospective study.Frontiers in neurologyArticle
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly identification of Parkinson's disease (PD) patients at risk for becoming functionally dependent is important for patient counseling. Several models describing the relationship between predictors and outcome have been reported, however, most of these require computer software for practical use.
objectiveHere we report the development of a risk nomogram allowing an approximate graphical computation of the risk of becoming functionally dependent in early PD.
methodsWe analyzed data form the Parkinson's Progression Markers Initiative cohort of newly diagnosed PD patients from baseline through the first 5 years of follow-up. Functional dependence was defined as a score < 80 on the Schwab & England Activities of Daily Living scale. A binary logistic model was developed to estimate the risk of functional dependence and based on the results, a nomogram for the prediction of functional dependence was drawn in order to provide an easy-to-use tool in clinical and academic settings as a part of personalized medicine approach to PD treatment.
resultsAt baseline, three patients and over the five-year follow-up, 85 (22%) out of 395 patients were functionally dependent as scored by the Schwab & England Activities of Daily Living rating scale. The binary logistic model showed that clinical parameters such as MDS-UPDRS I (rater part), MDS-UPDRS II, and MDS-UPDRS axial motor score were significant predictors for functional dependence within 5 years.
conclusionWe here provide an easy-to-use tool to estimate the risk of functional dependence in PD patients based on the MDS-UPDRS part I, II and axial motor score.
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