Yi-Chan Lee

Dr. Yi-Chan Lee

Chang Gung Memorial Hospital, Keelung, Taiwan

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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6 October 2022 in Cancers
Verified
Journal Article
Open access
PDF file
CKChien-An Ko
Chien-An Ko
CLChih-Wei Luan
Chih-Wei Luan
Ming-Shao TsaiMing-Shao Tsai
Ming-Shao Tsai
YLYi-Chan Lee
Yi-Chan Lee
CLChiahsuan Lai
Chiahsuan Lai
YTYao-Te Tsai
Yao-Te Tsai
This study investigated preoperative neutrophil percentage-to-albumin ratio (NPAR) for predicting oral cavity squamous cell carcinoma (OSCC) survival. We retrospectively analyzed 368 patients who received curative OSCC surgery between 2008 and 2017. Receiver operating characteristic curve analyses were employed to identify the optimal NPAR cutoff (16.93), and the patients were then separated into low-NPAR and high-NPAR groups. Intergroup differences in survival were determined through Kaplan–Meier analysis and log-rank tests. Disease-free survival (DFS) and overall survival (OS) predictors were identified using Cox proportional-hazards models. A nomogram integrating independent prognostic factors was proposed to increase the accuracy of OS prediction. A high NPAR (≥16.93) was associated with worse median OS and DFS than was a low NPAR (both p < 0.001); this finding was confirmed through multivariate analyses (hazard ratio (HR) for OS = 2.697, p < 0.001; and HR for DFS = 1.671, p = 0.008). The nomogram’s favorable predictive ability was confirmed by the calibration plots and concordance index (0.784). The preoperative NPAR is thus a promising prognostic biomarker in patients with OSCC after external validation in a larger cohort. Our nomogram can facilitate clinical use of the NPAR and provides accurate individualized OS predictions.

PAUL GARRETTPAUL GARRETT
PAUL GARRETT
YWYuWen Wang
YuWen Wang
JWJoshua P. White
Joshua P. White
SHShulan Hsieh
Shulan Hsieh
CSCarol Strong
Carol Strong
Cheng-Ta YangCheng-Ta Yang
Cheng-Ta Yang
Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few to no symptoms when infected have been identified in many countries as driving the virus’ spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to the virus, potentially solving this issue; however, the effectiveness of these technologies depends on their acceptance by the public. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) among four samples of young Taiwanese adults (aged 25 years or younger). Using Bayesian methods, we find high acceptance for all three tracking technologies (>75%), with acceptance for each technology surpassing 90% if additional privacy measures were included. We consider the policy implications of these results for Taiwan and similar cultures.

YTYao-Te Tsai
Yao-Te Tsai
ICI-Jen Chang
I-Jen Chang
Cheng-Ming HsuCheng-Ming Hsu
Cheng-Ming Hsu
YYYao-Hsu Yang
Yao-Hsu Yang
CLChia-Yen Liu
Chia-Yen Liu
CLChih Wei Luan
Chih Wei Luan
Background: Little evidence is available about the risk of sudden sensorineural hearing loss (SSNHL) in patients with thyroid diseases. We assessed whether a diagnosis of thyroid disease, particularly hyperthyroidism or hypothyroidism, is associated with SSNHL risk in an Asian population. Material and Methods: This case-control study was conducted with population-based data from Taiwan’s National Health Insurance Research Database from January 2000 to December 2013. The case group comprised 3331 adult patients with newly diagnosed SSNHL, and four controls without SSNHL for each case matched by sex, age, monthly income, and urbanization level of residence. Underlying Thyroid diseases were retrospectively evaluated in the case and control groups. Multivariate logistic regression analyses were used to explore relations between thyroid diseases and SSNHL. Results: Of the 3331 cases, 5.7% had preexisting thyroid diseases, whereas only 4.0% of the 13,324 controls had the same condition. After adjustment for sex, age, monthly income, urbanization level of residence, history of hypertension, diabetes mellitus, chronic otitis media, and hyperlipidemia, associations were identified between a history of either hypothyroidism (adjusted odds ratio [AOR], 1.54; 95% CI, 1.02–2.32; p = 0.042) or hyperthyroidism (AOR, 1.41; 95% CI, 1.07–1.85; p = 0.015) and an elevated risk of SSNHL. In subgroup analysis, the correlation between hypothyroidism and increased SSNHL risk remained significant only for patients aged over 50 years (AOR, 1.61; 95% CI, 1.01–2.57; p = 0.045), and that between hyperthyroidism and SSNHL was significant only for female patients (AOR, 1.48; 95% CI, 1.09–2.01; p = 0.012). Treatment for hypothyroidism and hyperthyroidism did not alter the association in subgroup analyses. Conclusion: Preexisting hypothyroidism and hyperthyroidism appear associated with SSNHL susceptibility in Taiwan. Physicians should be wary of this elevated risk of SSNHL among patients with previously diagnosed thyroid dysfunction, especially women and patients aged more than 50 years.

22 March 2021 in European Archives of Oto-Rhino-Laryngology
Verified
Journal Article
Closed access
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TKTz-Ching Kuo
Tz-Ching Kuo
WCWei-Chieh Chao
Wei-Chieh Chao
CYChao-Hui Yang
Chao-Hui Yang
MTMing-Shao Tsai
Ming-Shao Tsai
YTYao-Te Tsai
Yao-Te Tsai
YLYi-Chan Lee
Yi-Chan Lee

21 December 2020 in Clinical Otolaryngology
Verified
Journal Article
Closed access
PDF file
YLYi-Chan Lee
Yi-Chan Lee
TFTuan-Jen Fang
Tuan-Jen Fang
IKI‐Chun Kuo
I‐Chun Kuo
YTYao‐Te Tsai
Yao‐Te Tsai
LHLijen Hsin
Lijen Hsin

14 May 2021 in Head & Neck
Verified
Journal Article
Closed access
PDF file
CKChien‐An Ko
Chien‐An Ko
KFKu‐Hao Fang
Ku‐Hao Fang
CHCheng‐Ming Hsu
Cheng‐Ming Hsu
YLYi-Chan Lee
Yi-Chan Lee
GCGeng‐He Chang
Geng‐He Chang
YTYao-Te Tsai
Yao-Te Tsai