Yong Wook Kim

Dr. Yong Wook Kim

Yonsei University, Seoul, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 November 2021 in JAMA Neurology
Verified
Journal Article
Open access
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SYSeo Yeon Yoon
Seo Yeon Yoon
JSJee Hyun Suh
Jee Hyun Suh
SYSeung Nam Yang
Seung Nam Yang
KHKyungdo Han
Kyungdo Han
YKYong Wook Kim
Yong Wook Kim
Parkinson disease (PD), the second most common neurodegenerative disease, is characterized by cardinal motor signs, including bradykinesia, resting tremor, rigidity, and postural instability. Although dopaminergic medication is the mainstay of relieving the symptoms of PD, effective disease-modifying treatments are lacking. The causative mechanism of PD remains poorly understood, and multifactorial origins, including both genetic and environmental factors, have been suggested.1-3 Thus, adopting a positive lifestyle could be a possible disease-modifying therapeutic option.

2 July 2023 in Journal of Medical Virology
Verified
Journal Article
Closed access
MRMasoud Rahmati
Masoud Rahmati
DYDong Keon Yon
Dong Keon Yon
Seung Won LeeSeung Won Lee
Seung Won Lee
PSPinar Soysal
Pinar Soysal
AKAi Koyanagi
Ai Koyanagi
Lee SmithLee Smith
Lee Smith

6 March 2023 in Gut Pathogens
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Journal Article
Open access
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JPJong Mi Park
Jong Mi Park
SLSang Chul Lee
Sang Chul Lee
CHChorom Ham
Chorom Ham
YKYong Wook Kim
Yong Wook Kim
Background: Parkinson’s disease (PD) is the second most common neurodegenerative disease worldwide. Gut dysbiosis is hypothesized to cause PD; therefore, whether probiotics can be used as adjuvants in the treatment of PD is being actively investigated. Aims: We performed a systematic review and meta-analysis to evaluate the effectiveness of probiotic therapy in PD patients. Methods: PUBMED/MEDLINE, EMBASE, Cochrane, Scopus, PsycINFO and Web of Science databases were searched till February 20, 2023. The meta-analysis used a random effects model and the effect size was calculated as mean difference or standardized mean difference. We assessed the quality of the evidence using the Grade of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results: Eleven studies involving 840 participants were included in the final analysis. This meta-analysis showed high-quality evidence of improvement in Unified PD Rating Scale Part III motor scale (standardized mean difference [95% confidence interval]) (− 0.65 [− 1.11 to − 0.19]), non-motor symptom (− 0.81 [− 1.12 to − 0.51]), and depression scale (− 0.70 [− 0.93 to -0.46]). Moderate to low quality evidence of significant improvement was observed in gastrointestinal motility (0.83 [0.45–1.10]), quality of life (− 1.02 [− 1.66 to − 0.37]), anxiety scale (− 0.72 [− 1.10 to − 0.35]), serum inflammatory markers (− 5.98 [− 9.20 to − 2.75]), and diabetes risk (− 3.46 [− 4.72 to − 2.20]). However, there were no significant improvements in Bristol Stool Scale scores, constipation, antioxidant capacity, and risk of dyslipidemia. In a subgroup analysis, probiotic capsules improved gastrointestinal motility compared to fermented milk. Conclusion: Probiotic supplements may be suitable for improving the motor and non-motor symptoms of PD and reducing depression. Further research is warranted to determine the mechanism of action of probiotics and to determine the optimal treatment protocol.

14 April 2018 in Clinical Anatomy
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Journal Article
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SYSeo Yeon Yoon
Seo Yeon Yoon
HMHyun Im Moon
Hyun Im Moon
SLSang Chul Lee
Sang Chul Lee
NENa Lae Eun
Na Lae Eun
YKYong Wook Kim
Yong Wook Kim

1 July 2019 in Parkinsonism & Related Disorders
Verified
Journal Article
Closed access
YKYong Wook Kim
Yong Wook Kim
ISIn-Soo Shin
In-Soo Shin
HMHyun Im Moon
Hyun Im Moon
SLSang Chul Lee
Sang Chul Lee
SYSeo-Yeon Yoon
Seo-Yeon Yoon

1 May 2025 in Stroke
Verified
Journal Article
Closed access
JPJong-Mi Wook Park
Jong-Mi Wook Park
HPHee Jae Park
Hee Jae Park
SYSeo-Yeon Yoon
Seo-Yeon Yoon
YKYong Wook Kim
Yong Wook Kim
Jae Il ShinJae Il Shin
Jae Il Shin
SLSang Chul Lee
Sang Chul Lee
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to improve neuroplasticity, is gaining traction. However, its effectiveness for upper extremity stroke rehabilitation remains uncertain. This study comprehensively reviewed meta-analyses on the effectiveness of upper extremity robot-assisted therapy in patients with stroke. METHODS: We combined results from 396 randomized controlled trials (RCTs) in 16 meta-analyses and conducted a new meta-analysis using nonoverlapping RCTs and 6 additional RCTs published after 2024. Duplicate studies were removed, all data were from RCTs, and a random-effects model resolved heterogeneity. Effects were analyzed by comparing robot-assisted therapy with conventional therapy at the same dose and as an add-on to conventional therapy. RESULTS: Compared with conventional therapy, the effect of robot-assisted therapy on the Fugl-Meyer assessment was summarized as a significant standardized mean difference (SMD) of 0.29 (95% CI, 0.14–0.44; number of individual RCTs reanalyzed, 100 RCTs), and the additional effect of robot-assisted therapy was an SMD of 0.42 (95% CI, 0.23–0.61; 16 RCTs). However, these Fugl-Meyer assessment improvements did not meet the minimum clinically important difference thresholds identified in previous studies: 12.4 for subacute and 3.5 for chronic stroke. For activities of daily living, only the additional effect was significant by SMD of 0.35 (95% CI, 0.17–0.54; 26 RCTs), muscle strength was significant by SMD of 0.46 (95% CI, 0.22–0.70; 31 RCTs), and spasticity was not significant by SMD of −0.25 (95% CI, −0.55 to 0.06; 25 RCTs). CONCLUSIONS: Robot-assisted therapy shows statistically significant improvements in motor recovery as measured by the Fugl-Meyer assessment in patients with stroke, both at the same dose and as an add-on to conventional therapy; however, these improvements do not meet the minimum clinically important difference. These benefits are consistent across different stages of stroke recovery, different types of robotic devices, duration of intervention, and training sites. However, the heterogeneity of included studies in patient population, stroke severity, intervention protocol, and robot type limits generalizability. High-quality trials are needed to better define the value of robot-assisted therapy across various devices and strategies.