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14. Diagnostic performance of rapid on‐site evaluation during bronchoscopy for lung cancer: A comprehensive meta‐analysis.

Author

Chen, Cheng‐Chieh, Lu, Shou‐Cheng, Chang, Yu‐Kang, Bai, Chyi‐Huey, Hsiao, Ke‐Yu, Lee, Kang‐Yun, and Wang, Yuan‐Hung

Abstract

Background: Lung cancer is the leading cause of cancer‐related mortality worldwide. Screening high‐risk populations for lung cancer with low‐dose computed tomography (LDCT) reduces lung cancer mortality. Bronchoscopy is a diagnostic procedure used to monitor patients suspected of having lung cancer after LDCT. Rapid on‐site evaluation (ROSE) can improve the diagnostic accuracy of endobronchial ultrasound–guided transbronchial needle aspiration (EBUS‐TBNA), although its diagnostic value remains unclear. In this meta‐analysis, the authors evaluated the diagnostic accuracy of ROSE during bronchoscopy. Methods: The PubMed, Embase, and Cochrane Library databases were searched for studies evaluating the diagnostic accuracy of ROSE for lung cancer during bronchoscopy. Studies evaluating the performance of ROSE and articles providing sufficient data for constructing a 2 × 2 table on a per‐lesion basis were included. A meta‐analysis was conducted using a bivariate random‐effects model. Results: In total, 32 studies involving 8243 lung lesions were included with a pooled sensitivity of 91.8% and a pooled specificity of 94.9%. Subgroup analysis of 12 studies involving 2929 specimens from patients who underwent computed tomography revealed a pooled sensitivity of 93.8% and a pooled specificity of 96%. Further subgroup analysis of seven studies on the diagnostic outcomes of ROSE for intrathoracic or mediastinal lymph nodes through EBUS‐TBNA for lung cancer staging revealed a pooled sensitivity of 90.1% and a pooled specificity of 96.9%. Conclusions: ROSE exhibited high sensitivity and specificity for diagnosing lung cancer during bronchoscopy. It also exhibited high sensitivity in detecting lung cancer in patients undergoing LDCT and higher specificity for nodal staging with EBUS‐TBNA. Rapid on‐site evaluation can improve the diagnostic accuracy of endobronchial ultrasound–guided transbronchial needle aspiration, although its diagnostic value remains unclear. In this meta‐analysis, the authors evaluated the diagnostic accuracy of rapid on‐site evaluation for lung cancer during bronchoscopy. [ABSTRACT FROM AUTHOR]

Published
2025
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19. Impact of comorbidities on relapsing rates of Neuromyelitis Optica Spectrum Disorders: Insights from a longitudinal study in Taiwan

Author

Hsu, Jung Lung, primary, Cheng, Mei-Yun, additional, Su, Jen Jen, additional, Liao, Ming-Feng, additional, Kuo, Hung-Chou, additional, Chu, Chun-Che, additional, Chen, Chiung-Mei, additional, Chang, Kuo-Hsuan, additional, Chang, Chun-Wei, additional, Wu, Yih-Ru, additional, Huang, Chin-Chang, additional, Bai, Chyi-Huey, additional, and Ro, Long-Sun, additional

Published
2024
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24. Dietary glycemic index and glycemic load predict longitudinal change in glycemic and cardio-metabolic biomarkers among old diabetic adults living in a resource-poor country.

Author

Hoang, Yen Nhi, Nguyen, Trong Hung, Ho, Dang Khanh Ngan, Bai, Chyi-Huey, Lin, Wen-Ling, Phan, Huong Duong, Phan, Hoang Hiep, Tran, Ngoc Luong, and Chang, Jung-Su

Subjects
GLYCEMIC index, GLYCEMIC control, VIETNAMESE people, BLOOD sugar, MEDICAL records
Abstract

This study aims to investigate longitudinal associations between the dietary glycemic index (GI) and glycemic load (GL) and changes in glycemic and cardio-metabolic outcomes. A 28-month retrospective cohort study included 110 Vietnamese diabetic patients, collecting their dietary GI and GL values along with blood biochemical data from baseline 24-h dietary recall and medical records. Latent class growth modelling identified three distinct HbA1c trajectories during the follow-up period, with 51% of patients achieving good glycemic control. The adjusted linear mixed-effect model showed that 1 unit increase in logarithms in dietary GL was associated with a 0.14% increase in the log-HbA1c. Among poorly controlled diabetic patients, baseline GL values were positively correlated with increases in HbA1c; GI showed effects on changes in fasting plasma glucose and the triglyceride-glucose (TyG) index. No significant association was observed in patients with good glycemic control. [ABSTRACT FROM AUTHOR]

Published
2024
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25. The effects of dietary macronutrient composition on resting energy expenditure following active weight loss: A systematic review and meta‐analysis.

Author

Ho, Dang Khanh Ngan, Liao, Yu Chi, Mayasari, Noor Rohmah, Chien, Mu‐Ming, Chung, Mei, Bai, Chyi‐Huey, Huang, Ya‐Li, Chen, Yang‐Ching, Tseng, Sung‐Hui, Chang, Chun‐Chao, Chiu, Wan‐Chun, Sangopas, Patchara, Tseng, Hsiang‐Tung, Kao, Jing Wen, Ngu, Yi Jing, and Chang, Jung‐Su

Subjects
WEIGHT loss, DIETARY patterns, DIETARY carbohydrates, LOW-carbohydrate diet, LOW-fat diet
Abstract

Summary: A systematic review and meta‐analysis was conducted to evaluate the relative effectiveness of different dietary macronutrient patterns on changes in resting energy expenditure (REE) in relation to weight loss, categorized as minimal (<5%) and moderate to high (>5%). Changes in REE were assessed using a DerSimonian and Laird random‐effects meta‐analysis. A diet lower in carbohydrates (CHO) or higher in fat and protein was associated with smaller reductions in REE, with these trends being more pronounced among participants who experienced moderate to high weight loss. Adjusted meta‐regression analysis indicated that, within the participants who experienced moderate to high weight loss, each 1% increase in CHO intake was associated with a reduction of 2.30 kcal/day in REE (95% CI: −4.11 to −0.47, p = 0.013). In contrast, a 1% increase in protein and fat intake was correlated with an increase in REE by 3.00 (95% confidence interval [CI] [1.02, 5.07], p = 0.003) and 0.5 (95% CI [−2.43, 3.41], p = 0.740) kcal/day, respectively. No significant associations were found among participants who experienced minimal weight loss. These findings indicate that, under a caloric deficit, the impact of dietary macronutrient composition on REE may vary depending on the degree of weight loss and individual metabolic responses. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Renal function is associated with 1-month and 1-year mortality in patients with ischemic stroke

Author

Liu, Chung-Hsiang, Tsai, Chon-Haw, Huang, Wei-Shih, Lu, Chung-Ta, Tsai, Tzung-Chang, Tseng, Chun-Hung, Lin, Kang-Hsu, Shyu, Woei-Cherng, Yang, Yu-Wan, Liu, Yen-Liang, Cho, Der-Yang, Chen, Chun-Chung, Jeng, Jiann-Shing, Tang, Sung-Chun, Tsai, Li-Kai, Yeh, Shin-Joe, Chen, Chih-Hao, Tsai, Hsin-Hsi, Li, Jie-Yuan, Chen, Han-Jung, Lu, Kan, Hsu, Shih-Pin, Kuo, Hung-Chang, Tsou, Jung-Chi, Wang, Yan-Tang, Tai, Yi-Cheng, Hsieh, Meng-Tsang, Liliang, Po-Chao, Liang, Cheng-Loong, Wang, Hao-Kuang, Tsai, Yu-Tun, Wang, Kuo-Wei, Chen, Jui-Sheng, Chen, Po-Yuan, Wang, Yi-Ching, Chen, Chih-Hung, Sung, Pi-Shan, Hsieh, Han-Chieh, Su, Hui-Chen, Chiu, Hou-Chang, Lien, Li-Ming, Chen, Wei-Hung, Bai, Chyi-Huey, Huang, Tzu-Hsuan, Lau, Chi-Ieong, Wu, Ya-Ying, Yeh, Hsu-Ling, Chang, Anna, Lin, Ching-Huang, Yen, Cheng-Chang, Lin, Ruey-Tay, Chen, Chun-Hung, Khor, Gim-Thean, Chao, A-Ching, Lin, Hsiu-Fen, Huang, Poyin, Lin, Huey-Juan, Ke, Der-Shin, Chang, Chia-Yu, Yeh, Poh-Shiow, Lin, Kao-Chang, Cheng, Tain-Junn, Chou, Chih-Ho, Yang, Chun-Ming, Shen, Hsiu-Chu, Chen, An-Chih, Tsai, Shih-Jei, Lu, Tsong-Ming, Kung, Sheng-Ling, Lee, Mei-Ju, Chou, Hsi-Hsien, Chang, Wei-Lun, Chiu, Pai-Yi, Hsu, Min-Hsien, Chan, Po-Chi, Pan, Chau-Hsiung, Shoung, Hai-Ming, Lo, Yi-Chen, Wang, Fu-Hwa, Chang, Wei-Chieh, Lai, Ta-Chang, Yin, Jiu-Haw, Wang, Chung-Jen, Wang, Kai-Chen, Chen, Li-Mei, Denq, Jong-Chyou, Sun, Yu, Lu, Chien-Jung, Lin, Cheng-Huai, Huang, Chieh-Cheng, Liu, Chang-Hsiu, Chan, Hoi-Fong, Lee, Siu-Pak, Sun, Ming-Hui, Ke, Li-Ying, Chen, Po-Lin, Lee, Yu-Shan, Sung, Sheng-Feng, Ong, Cheung-Ter, Wu, Chi-Shun, Hsu, Yung-Chu, Su, Yu-Hsiang, Hung, Ling-Chien, Lee, Jiunn-Tay, Lin, Jiann-Chyun, Hsu, Yaw-Don, Peng, Giia-Sheun, Hsu, Chang-Hung, Lin, Chun-Chieh, Yen, Che-Hung, Cheng, Chun-An, Sung, Yueh-Feng, Chen, Yuan-Liang, Lien, Ming-Tung, Chou, Chung-Hsing, Liu, Chia-Chen, Yang, Fu-Chi, Wu, Yi-Chung, Tso, An-Chen, Lai, Yu- Hua, Chiang, Chun-I., Tsai, Chia-Kuang, Liu, Meng-Ta, Lin, Ying-Che, Hsu, Yu-Chuan, Chiang, Tsuey-Ru, Huang, Pai-Hao, Liao, Pin-Wen, Lee, Mei-Ching, Chen, Jen-Tse, Lie, Sian-King, Sun, Mu-Chien, Hsiao, Pi-Ju, Chen, Wei-Liang, Chen, Ta-Cheng, Chang, Chen-Shu, Lai, Chien-Hsu, Chuang, Chieh-Sen, Chen, Yen-Yu, Lin, Shinn-Kuang, Su, Yu-Chin, Shiao, Jen-Lun, Yang, Fu-Yi, Liu, Chih-Yang, Chiang, Han-Lin, Chen, Guei-Chiuan, Hsu, Po-Jen, Chang, Chun-Yuan, Lin, I.-sheng, Chien, Chung-Hsien, Chang, Yang-Chuang, Chen, Ping-Kun, Hsiao, Yu-Jen, Fang, Chen-Wen, Chen, Yu-Wei, Lee, Kuo-Ying, Lin, Yun-Yu, Li, Chen-Hua, Tsai, Hui-Fen, Hsieh, Chuan-Fa, Yang, Chih-Dong, Liaw, Shiumn-Jen, Liao, How-Chin, Yeh, Shoou-Jeng, Wu, Ling-Li, Hsieh, Liang-Po, Lee, Yong-Hui, Chen, Chung-Wen, Hsu, Chih-Shan, Jhih, Ye-Jian, Zhuang, Hao-Yu, Pan, Yan-Hong, Shih, Shin-An, Chen, Chin-I., Sung, Jia-Ying, Weng, Hsing-Yu, Teng, Hao-Wen, Lee, Jing-Er, Huang, Chih-Shan, Chao, Shu-Ping, Yuan, Rey-Yue, Sheu, Jau-Jiuan, Yu, Jia-Ming, Ho, Chun-Sum, Lin, Ting-Chun, Yu, Shih-Chieh, Chen, Jiunn-Rong, Tsai, Song-Yen, Wei, Cheng-Yu, Hung, Chao-Hsien, Lee, Chia Fang, Yang, Sheng-Kung, Chen, Chih-Lin, Lin, Wei, Tseng, Hung-Pin, Liu, Chin-Hsiung, Lin, Chun-Liang, Lin, Hung-Chih, Chen, Pi-Tzu, Hu, Chaur-Jong, Chan, Lung, Chi, Nai-Fang, Chern, Chang-Ming, Lin, Chun-Jen, Wang, Shuu-Jiun, Hsu, Li-Chi, Wong, Wen-Jang, Lee, I-Hui, Yen, Der-Jen, Tsai, Ching-Piao, Kwan, Shang-Yeong, Soong, Bing-Wen, Chen, Shih-Pin, Liao, Kwong-Kum, Lin, Kung-Ping, Chen, Chien, Shan, Din-E., Fuh, Jong-Ling, Wang, Pei-Ning, Lee, Yi-Chung, Yu, Yu-Hsiang, Huang, Hui-Chi, Tsai, Jui-Yao, Wu, Ming-Hsiu, Chiang, Szu-Yi, Wang, Chiung-Yao, Hsu, Ming-Chin, Chen, Chien-Chung, Yeh, Po-Yen, Tsai, Yu-Tai, Wang, Ko-Yi, Chen, Tsang-Shan, Hsieh, Cheng-Yang, Chen, Wei-Fen, Yip, Ping-Keung, Wang, Vinchi, Wang, Kaw-Chen, Tsai, Chung-Fen, Chen, Chao-Ching, Liu, Yi-Chien, Chen, Shao-Yuan, Zhao, Zi-Hao, Wei, Zhi-Peng, Wu, Shey-Lin, Liu, Ching-Kuan, Lin, Ryh-Huei, Chu, Ching-Hua, Yan, Sui-Hing, Lin, Yi-Chun, Chen, Pei-Yun, Hsiao, Sheng-Huang, Yip, Bak-Sau, Tsai, Pei-Chun, Chou, Ping-Chen, Kuo, Tsam-Ming, Lee, Yi-Chen, Chiu, Yi-Pin, Tsai, Kun-Chang, Liao, Yi-Sheng, Tsai, Ming-Jun, Kao, Hsin-Yi, Wang, I-Kuan, Yen, Tzung-Hai, Tsai, I-Ju, Sung, Fung-Chang, and Hsu, Chung Y.

Published
2018
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45. Cholesterol Levels Are Associated with 30-day Mortality from Ischemic Stroke in Dialysis Patients

Author

Liu, Chung-Hsiang, Tsai, Chon-Haw, Huang, Wei-Shih, Lu, Chung-Ta, Tsai, Tzung-Chang, Tseng, Chun-Hung, Lin, Kang-Hsu, Shyn, Woei-Cherng, Yang, Yu-Wan, Liu, Yen-Liang, Cho, Der-Yang, Chen, Chun-Chung, Jeng, Jiann-Shing, Tang, Sung-Chun, Tsai, Li-Kai, Yeh, Shin-Joe, Hsu, Shih-Pin, Chen, Han-Jung, Chang, Cheng-Sen, Kuo, Hung-Chang, Lee, Lian-Hui, Tsui, Huan-Wen, Tsou, Jung-Chi, Wang, Yan-Tang, Tai, Yi-Cheng, Tsai, Kun-Chang, Chen, Yen-Wen, Lu, Kan, Liliang, Po-Chao, Tsai, Yu-Tun, Liang, Cheng-Loong, Wang, Kuo-Wei, Wang, Hao-Kuang, Chen, Jui-Sheng, Chen, Po-Yuan, Chye, Cien-Leong, Tzeng, Wei-Jie, Wu, Pei-Hua, Chen, Chih-Hung, Sung, Pi-Shan, Hsieh, Han-Chieh, Su, Hui-Chen, Chiu, Hou-Chang, Lien, Li-Ming, Chen, Wei-Hung, Bai, Chyi-Huey, Huang, Tzu-Hsuan, Lau, Chi-Ieong, Wu, Ya-Ying, Yeh, Hsu-Ling, Chang, Anna, Lin, Ching-Huang, Yen, Cheng-Chang, Lin, Ruey-Tay, Chen, Chun-Hung, Khor, Gim-Thean, Chao, A-Ching, Lin, Hsiu-Fen, Huang, Poyin, Lin, Huey-Juan, Ke, Der-Shin, Chang, Chia-Yu, Yeh, Poh-Shiow, Lin, Kao-Chang, Cheng, Tain-Junn, Chou, Chih-Ho, Yang, Chun-Ming, Shen, Hsiu-Chu, Chen, An-Chih, Tsai, Shih-Jei, Lu, Tsong-Ming, Kung, Sheng-Ling, Lee, Mei-Ju, Chou, Hsi-Hsien, Chi, Hsin-Yi, Pan, Chou-Hsiung, Chan, Po-Chi, Hsu, Min-Hsien, Chang, Wei-Lun, Huang, Zhi-Zang, Shoung, Hai-Ming, Lo, Yi-Chen, Wang, Fu-Hwa, Lai, Ta-Chang, Yin, Jiu-Haw, Wang, Chung-Jen, Wang, Kai-Chen, Chen, Li-Mei, Denq, Jong-Chyou, Sun, Yu, Lu, Chien-Jung, Lin, Cheng-Huai, Huang, Chieh-Cheng, Liu, Chang-Hsiu, Chan, Hoi-Fong, Lee, Siu-Pak, Sun, Ming-Hui, Ke, Li-Ying, Chen, Po-Lin, Lee, Yu-Shan, Sung, Sheng-Feng, Ong, Cheung-Ter, Wu, Chi-Shun, Hsu, Yung-Chu, Su, Yu-Hsiang, Hung, Ling-Chien, Lee, Jiunn-Tay, Lin, Jiann-Chyun, Hsu, Yaw-Don, Peng, Giia-Sheun, Hsu, Chang-Hung, Lin, Chun-Chieh, Yen, Che-Hung, Cheng, Chun-An, Sung, Yueh-Feng, Chen, Yuan-Liang, Lien, Ming-Tung, Chou, Chung-Hsing, Liu, Chia-Chen, Yang, Fu-Chi, Wu, Yi-Chung, Tso, An-Chen, Lai, Yu-Hua, Chiang, Chun-I, Tsai, Chia-Kuang, Liu, Meng-Ta, Lin, Ying-Che, Hsu, Yu-Chuan, Chiang, Tsuey-Ru, Lee, Mei-Ching, Huang, Pai-Hao, Lie, Sian-King, Liao, Pin-Wen, Chen, Jen-Tse, Sun, Mu-Chien, Lai, Tien-Pao, Chen, Wei-Liang, Chen, Yen-Chun, Chen, Ta-Cheng, Wang, Wen-Fu, Lee, Kwo-Whei, Chang, Chen-Shu, Lai, Chien-Hsu, Shih, Siao-Ya, Chuang, Chieh-Sen, Chen, Yen-Yu, Chen, Chien-Min, Lin, Shinn-Kuang, Su, Yu-Chin, Hsiao, Cheng-Lun, Yang, Fu-Yi, Liu, Chih-Yang, Chiang, Han-Lin, Chang, Chun-Yuan, Lin, I-sheng, Chien, Chung-Hsien, Chang, Yang-Chuang, Chen, Ping-Kun, Chiu, Pai-Yi, Hsiao, Yu-Jen, Fang, Chen-Wen, Chen, Yu-Wei, Lee, Kuo-Ying, Lin, Yun-Yu, Li, Chen-Hua, Tsai, Hui-Fen, Hsieh, Chuan-Fa, Yang, Chih-Dong, Liaw, Shiumn-Jen, Liao, How-Chin, Yeh, Shoou-Jeng, Wu, Ling-Li, Hsieh, Liang-Po, Lee, Yong-Hui, Chen, Chung-Wen, Hsu, Chih-Shan, Jhih, Ye-Jian, Zhuang, Hao-Yu, Pan, Yan-Hong, Shih, Shin-An, Chen, Chin-I, Sung, Jia-Ying, Weng, Hsing-Yu, Teng, Hao-Wen, Lee, Jing-Er, Huang, Chih-Shan, Chao, Shu-Ping, Yuan, Rey-Yue, Sheu, Jau- Jiuan, Yu, Jia-Ming, Ho, Chun-Sum, Lin, Ting-Chun, Yu, Shih-Chieh, Chen, Jiunn-Rong, Tsai, Song-Yen, Wei, Cheng-Yu, Yang, Chao-Nan, Hung, Chao-Hsien, Shih, Ian, Tseng, Hung-Pin, Liu, Chin-Hsiung, Lin, Chun-Liang, Lin, Hung-Chih, Chen, Pi-Tzu, Hu, Chaur-Jong, Chi, Nai-Fang, Chan, Lung, Chern, Chang-Ming, Lin, Chun-Jen, Wang, Shuu-Jiun, Hsu, Li-Chi, Wong, Wen-Jang, Lee, I-Hui, Yen, Der-Jen, Tsai, Ching-Piao, Kwan, Shang-Yeong, Soong, Bing-Wen, Chen, Shih-Pin, Liao, Kwong-Kum, Lin, Kung-Ping, Chen, Chien, Shan, Din-E, Fuh, Jong-Ling, Wang, Pei-Ning, Lee, Yi-Chung, Yu, Yu-Hsiang, Huang, Hui-Chi, Tsai, Jui-Yao, Wu, Ming-Hsiu, Chen, Shi-Cheng, Chiang, Szu-Yi, Wang, Chiung-Yao, Hsu, Ming-Chin, Chen, Chien-Chung, Yeh, Po-Yen, Tsai, Yu-Tai, Wang, Ko-Yi, Chen, Tsang-Shan, Yip, Ping-Keung, Wang, Vinchi, Wang, Kaw-Chen, Tsai, Chung-Fen, Chen, Chao-Ching, Chen, Chih-Hao, Liu, Yi-Chien, Chen, Shao-Yuan, Zhao, Zi-Hao, Wei, Zhi-Peng, Wu, Shey-Lin, Liu, Ching-Kuan, Lin, Ryh-Huei, Chu, Ching-Hua, Yan, Sui-Hing, Lin, Yi-Chun, Chen, Pei-Yun, Hsiao, Sheng-Huang, Yip, Bak-Sau, Tsai, Pei-Chun, Chou, Ping-Chen, Kuo, Tsam-Ming, Lee, Yi-Chen, Chiu, Yi-Pin, Liao, Yi-Sheng, Tsai, Ming-Jun, Kao, Hsin-Yi, Wang, I.-Kuan, Yen, Tzung-Hai, Muo, Chih-Hsin, Ma, Henry, Wen, Chi-Pang, Sung, Fung-Chang, and Hsu, Chung Y.

Published
2017
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46. Association between Brain-Derived Neurotrophic Factor and Lipid Profiles in Acute Ischemic Stroke Patients.

Author

Tuwar, Mayuri N., Chen, Wei-Hung, Yeh, Hsu-Ling, and Bai, Chyi-Huey

Subjects
BRAIN-derived neurotrophic factor, STROKE patients, ISCHEMIC stroke, CEREBRAL ischemia, CENTRAL nervous system
Abstract

Ischemic stroke, the most prevalent form of stroke, leads to neurological impairment due to cerebral ischemia and affects 55–90% of the population. Brain-derived neurotrophic factor (BDNF) plays a crucial role in the central nervous system and regulates cardiometabolic risk factors, including lipids. This single-center study aimed to explore the relationship between lipid profiles and BDNF levels in 90 patients who had experienced AIS for the first time. The results show that the high BDNF group (≥3.227 ng/mL) had significantly higher HbA1C and TG levels; ratios of TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C; and percentage of hyperlipidemia (60%) as well as lower levels of HDL-C, with an OR of 1.903 (95% CI: 1.187–3.051) for TG/HDL-C, 1.975 (95% CI: 1.188–3.284) for TC/HDL-C, and 2.032 (95% CI: 1.113–3.711) for LDL-C/HDL-C. Plasma BDNF levels were found to be significantly positively correlated with TG and negatively with HDL-C, with OR values of 1.017 (95% CI: 1.003–1.030) and 0.926 (95% CI: 0.876–0.978), respectively. TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C ratios are associated with BDNF levels in AIS patients. The results also indicate that, in AIS patients, higher BDNF levels are associated with lower HDL and higher TG concentrations. [ABSTRACT FROM AUTHOR]

Published
2024
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