Clinical Report: Correction Notice on Parkinson's Disease Outcome Prediction Study
Overview
This correction notice updates the authorship of a study integrating digital gait analysis, metabolomics, and clinical data to predict Parkinson's disease outcomes. Two NCER-PD consortium members, Dr. Stefano Sapienza and Prof. Dr. Jochen Klucken, were added to the author list after meeting authorship criteria.
Background
The original study, published in September 2024, aimed to improve prediction of Parkinson's disease progression by combining digital gait metrics with metabolomic profiles and clinical information. Such integrative approaches hold promise for enhancing personalized management of Parkinson's disease. The correction ensures proper attribution of contributions from consortium members involved in this multidisciplinary research.
Data Highlights
No numerical data are presented in this correction notice; it solely addresses authorship amendments.
Key Findings
The original article was published on 06 September 2024 in npj Digital Medicine.
Dr. Stefano Sapienza and Prof. Dr. Jochen Klucken were added to the author list post-publication.
These authors met the criteria for authorship as members of the NCER-PD consortium.
The correction was published on 07 November 2025 to update the official record.
The study integrates digital gait analysis, metabolomics, and clinical data for Parkinson's disease outcome prediction.
Clinical Implications
Accurate authorship attribution reflects the collaborative nature of Parkinson's disease research and ensures recognition of key contributors. The underlying study's integrative methodology may inform future clinical tools for prognosis and personalized treatment strategies in Parkinson's disease.
Conclusion
This correction reinforces the integrity of the published research by acknowledging all contributors. The original study remains a significant step toward combining multimodal data for improved Parkinson's disease outcome prediction.
