Dae Hyun Lim

Dr. Dae Hyun Lim


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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15 January 2021 in Gut and Liver
Verified
Journal Article
Open access
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DLDae Hyun Lim
Dae Hyun Lim
MKMimi Kim
Mimi Kim
DJDae Won Jun
Dae Won Jun
MKMinjung Kwak
Minjung Kwak
JYJai Hoon Yoon
Jai Hoon Yoon
BKBo-kyeong Kang
Bo-kyeong Kang
Dae Hyun Lim, Mimi Kim, Dae Won Jun, Min Jung Kwak, Jai Hoon Yoon, Kang Nyeong Lee, Hang Lak Lee, Oh Young Lee, Byung Chul Yoon, Ho Soon Choi, and Bo Kyeong Kang. Gut and Liver 1999;0:. https://doi.org/10.5009/gnl19282

25 August 2023 in Diagnostics
Verified
Journal Article
Open access
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Jung-Soo PyoJung-Soo Pyo
Jung-Soo Pyo
NKNae Yu Kim
Nae Yu Kim
KMKyueng-Whan Min
Kyueng-Whan Min
IOIl Hwan Oh
Il Hwan Oh
DLDae Hyun Lim
Dae Hyun Lim
BSByoung Kwan Son
Byoung Kwan Son
Background: This study aimed to compare the diagnostic accuracy of the Ki-67 labeling index (LI) between endoscopic ultrasonography-fine-needle aspiration cytology/biopsy (EUS-FNAC/FNB) and surgical specimens of pancreatic neuroendocrine neoplasms (PanNENs). Methods: Conventional meta-analysis and diagnostic test accuracy (DTA) reviews were performed on 17 eligible studies. The DTA review involved calculating the sensitivity, specificity, diagnostic odds ratio (OR), and area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve. In addition, subgroup analysis was conducted based on EUS-FNAC and FNB, tumor grade, and tumor size. Results: The overall concordance rate of WHO grade based on Ki-67 LI between the EUS-FNAC/FNB and the surgical specimen was 0.767 (95% confidence interval (CI), 0.713–0.814). Concordance rates of the EUS-FNAC and EUS-FNB subgroups were 0.741 (95% CI, 0.681–0.794) and 0.839 (95% CI, 0.738–0.906), respectively. In the DTA review for grade 3, the sensitivity and specificity were calculated to be 0.786 (95% CI, 0.590–0.917) and 0.998 (95% CI, 0.987–1.000), respectively. The diagnostic OR and AUC of the SROC curve were 150.220 (95% CI, 46.145–489.000) and 0.983, respectively. The sensitivity and specificity were observed to be highest in the grade 1 and 3 subgroups, respectively. Conclusions: Higher concordance of tumor grade based on Ki-67 LI was observed between EUS-FNAC/FNB and surgical specimens, indicating the potential usefulness of Ki-67 LI in predicting PanNEN tumor grade in EUS-FNAC/FNB.

1 January 2022 in Infection & Chemotherapy
Verified
Journal Article
Open access
CCChang Wan Choi
Chang Wan Choi
HSHo Kyung Sung
Ho Kyung Sung
JJJae Yoon Jeong Jeong
Jae Yoon Jeong Jeong
DLDae Hyun Lim
Dae Hyun Lim
JCJongkyoung Choi
Jongkyoung Choi
BCBumSik Chin
BumSik Chin
Choi CW, et al. Infect Chemother. 2022 Dec;54:e94. https://doi.org/10.3947/ic.2022.0122

1 January 2021 in Journal of Korean Medical Science
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Journal Article
Open access
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DLDae Hyun Lim
Dae Hyun Lim
JJJae Yoon Jeong Jeong
Jae Yoon Jeong Jeong
SNSeongwoo Nam
Seongwoo Nam
JCJongkyoung Choi
Jongkyoung Choi
HKHyeok Choon Kwon
Hyeok Choon Kwon
BCBumSik Chin
BumSik Chin
Lim DH, et al. J Korean Med Sci. 2021 Nov;36(46):e308. https://doi.org/10.3346/jkms.2021.36.e308

2 December 2022 in Medicine
Verified
Journal Article
Open access
DLDae Hyun Lim
Dae Hyun Lim
WSWon Sohn
Won Sohn
JJJae Yoon Jeong Jeong
Jae Yoon Jeong Jeong
HOHyunwoo Oh
Hyunwoo Oh
JLJae Gon Lee
Jae Gon Lee
JSJoo Hyun Sohn
Joo Hyun Sohn
Although universal vaccination has been administered to toddlers, South Korea has had periodic nationwide outbreaks of acute hepatitis A since the late 2000s. We examined the chronological changes in the seroprevalence of anti-hepatitis A virus (HAV) immunoglobulin G (IgG) over the past 15 years (2005–2019). We retrospectively collected data from 45,632 subjects who underwent anti-HAV IgG testing without evidence of acute HAV infection at four centers in the capital area of South Korea between January 2005 and December 2019. The seroprevalence of anti-HAV IgG was analyzed according to age and compared among seven age groups and five time periods. Additionally, age-period-cohort analyses were used to identify the age, period, and cohort effects of the seroprevalence of anti-HAV IgG. The mean age of the enrolled subjects was 39.2 ± 19.2 years, and the average anti-HAV IgG positivity rate was 66.4%. During the 15 years, the seroprevalence of anti-HAV IgG in people aged 0 to 19 years significantly increased over time (P < .001). In people aged 20 to 29 years, the seroprevalence slightly decreased to that of the early 2010s (31.3% in 2005–2007 to 19.7% in 2011–2013) but rebounded to 39.5% in 2017 to 2019. In contrast, the seroprevalence of anti-HAV IgG in those aged 30 to 49 years decreased over time (P < .001). The seroprevalence of anti-HAV IgG in those aged 20 to 39 years in 2017 to 2019 was still less than 40%. In addition, the seroprevalence of anti-HAV IgG in people aged 50 to 59 years has recently decreased. Since the introduction of the universal vaccination, the seroprevalence of anti-HAV IgG in children and young adults has gradually increased. However, the seroprevalence of anti-HAV IgG in people in their 20s remains low, and the seroprevalence of anti-HAV IgG in people in their 30s and 40s is gradually decreasing. Therefore, a new strategy for HAV vaccination is needed for those in their 20s to 40s.

25 November 2025 in British Journal of Cancer
Verified
Journal Article
Closed access
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YLYoonsuk Lee
Yoonsuk Lee
DLDae Hyun Lim
Dae Hyun Lim
JYJai Hoon Yoon
Jai Hoon Yoon