Correction: Prospective Cohort Study on a Machine Learning Model for Predicting Cognitive Frailty in Elderly Ischaemic Stroke Patients

Overview

This correction addresses the omission of authors in the original publication of a study on a machine learning model designed to predict cognitive frailty in elderly patients following ischaemic stroke.

Background

Cognitive frailty, characterized by the coexistence of cognitive dysfunction and physical frailty, is a significant concern among elderly individuals post-ischaemic stroke. Its presence is associated with adverse functional outcomes.

Data Highlights

No numerical data is provided in the correction notice.

Key Findings

• Authors Xuan Chen, Linjie Zhou, and Ying Zhang were incorrectly omitted as equal contributing first authors.
• The study focuses on predicting cognitive frailty in elderly patients who have experienced ischaemic stroke.
• Cognitive frailty is linked to negative functional outcomes in this demographic.
• The machine learning model aims to provide internal validation for predicting 3-month CF risk.
• The original article has been updated to reflect these corrections.

Clinical Implications

Accurate authorship attribution is essential for maintaining the integrity of scientific literature.

Conclusion

This correction emphasizes the need for accurate representation of contributions in research publications.

Related Resources & Content

1. Chen, X., Zhou, L., Zhang, Y., Liu, T., Yan, B., Li, Y., and Hua, Y., Frontiers in Neurology, 2026 -- Correction: Prospective Cohort Study on a Machine Learning Model for Predicting Cognitive Frailty in Elderly Ischaemic Stroke Patients
2. Frontiers in Neurology — Development and validation of a machine learning model for predicting stroke-associated pneumonia in older patients with acute ischemic stroke
3. Frontiers in Medicine — Interpretable machine learning-based predictive model for fall risk in older adults receiving maintenance hemodialysis
4. Frontiers in Neurology — Prediction model for early neurological deterioration in large artery atherosclerotic stroke
5. Guideline European Stroke Organisation (ESO) and European Academy of Neurology (EAN) Joint Guidelines on post-stroke cognitive impairment
6. https://bmcgeriatr.biomedcentral.com/counter/pdf/10.1186/s12877-025-05930-9.pdf
7. Clinical prediction rules for cognitive outcomes post-stroke: an updated systematic review and meta-analysis - PubMed