Yan Shi

Dr. Yan Shi


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Journal of Stroke and Cerebrovascular Diseases
Verified
Journal Article
Closed access
QWQian Wu
Qian Wu
ATAi-Jie Tang
Ai-Jie Tang
LZLi Zeng Zeng
Li Zeng Zeng
SNShuzhen Niu
Shuzhen Niu
MTMei-Mei Tian
Mei-Mei Tian
YSYan Shi
Yan Shi

14 July 2020 in Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques
Verified
Journal Article
Closed access
PDF file
QWQian Wu
Qian Wu
ATAijie Tang
Aijie Tang
SNShuzhen Niu
Shuzhen Niu
AJAiping Jin
Aiping Jin
XLXiaoqing Liu
Xiaoqing Liu
YSYan Shi
Yan Shi
Background: Disabilities in physical activity and functional independence affect the early rehabilitation of stroke survivors. Moreover, a good instrument for assessing activity disability allows accurate assessment of physical disability and assists in prognosis determination.Objective: To compare three assessment tools for physical activity in acute-phase stroke survivors.Methods: We conducted this prospective observational study at an affiliated hospital of a Medical University in Shanghai, China, from June 2018 to November 2019. We administered three instruments to all patients during post-stroke days 5–7, including the Modified Barthel Index (MBI), Instrumental Activities of Daily Living (IADL), and modified Rankin scale (mRs). We analyzed correlations among the aforementioned scales and the National Institutes of Health Stroke Scale (NIHSS) using Spearman’s rank-order correlations test. Univariate analyses were performed using the Mann–Whitney U test. We used a binary logistic regression model to assess the association between the NIHSS (30 days) and patient-related variables. Finally, we used receiver operating characteristic (ROC) curves to assess the predictive value of the multivariate regression models.Results: There was a high correlation among the three instruments; furthermore, the MBI had a higher correlation with the NIHSS (days 5–7). The NIHSS (day 30) was correlated with thrombolysis. ROC analysis revealed that the mRs-measured disability level had the highest predictive value of short-term stroke severity (30 days).Conclusion: The MBI was the best scale for measuring disability in physical activity, whereas the mRs showed better accuracy in short-term prediction of stroke severity.

27 December 2021 in Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques
Verified
Journal Article
Closed access
PDF file
QWQian Wu
Qian Wu
YSYan Shi
Yan Shi