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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉俊人 | zh_TW |
| dc.contributor.advisor | Chun-Jen Liu | en |
| dc.contributor.author | 萬語謙 | zh_TW |
| dc.contributor.author | Yu-Chien Wan | en |
| dc.date.accessioned | 2025-09-16T16:11:58Z | - |
| dc.date.available | 2025-09-17 | - |
| dc.date.copyright | 2025-09-16 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-08 | - |
| dc.identifier.citation | Fan, J.-G., Wong, V. W.-S., & Kim, S. U. (2024). Non-alcoholic fatty liver disease in Asia: Emerging perspectives. Journal of Hepatology, 80(2), 245–256.https://doi.org/10.1016/j.jhep.2023.11.012
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Efruxifermin in metabolic dysfunction-associated steatohepatitis: Phase 2 trial results. Clinical Gastroenterology and Hepatology, 22(4), 678–689. https://doi.org/10.1016/j.cgh.2023.10.023 Kim, C. W., & Lee, Y. S. (2021). Fibroblast Growth Factor-21 as a Potential Therapeutic Target of Nonalcoholic Fatty Liver Disease. Endocrinology and Metabolism, 36(4), 633-640.https://doi.org/10.3803/EnM.2021.1128 PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis Campbell Systematic Reviews, 18, e1230. https://doi.org/10.1002/cl2.1230 Download citation (.ris) Estes C, Chan HLY, Chien RN, et al. Modelling NAFLD disease burden in four Asian regions—2019-2030. Aliment Pharmacol Ther. 2020; 51: 801-811. https://doi.org/10.1111/apt.15673 Huang, J.-F., et al. (2024). Clinical care guidance in patients with diabetes and metabolic dysfunction-associated steatotic liver disease: A joint consensus. Hepatology Communications, 8, e0571. https://doi.org/10.1097/HC9.00000000000000571 U.S. Food and Drug Administration. (2018, December). Noncirrhotic nonalcoholic steatohepatitis with liver fibrosis: Developing drugs for treatment. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/noncirrhotic-nonalcoholic-steatohepatitis-liver-fibrosis-developing-drugs-treatment Chiang, J. Y. L. (2025). Bile acid-based drugs in NASH: Back to the drawing board. The Lancet Gastroenterology & Hepatology, 10(1), 1–2. https://doi.org/10.1016/S2542-5684(25)00001-7 World Medical Association. (2013, October). WMA Declaration of Helsinki: Ethical principles for medical research involving human subjects (64th WMA General Assembly, Fortaleza, Brazil).https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/ International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. (2016, November 9). ICH harmonised guideline: Integrated addendum to ICH E6(R1): Guideline for good clinical practice E6(R2). https://www.ich.org/page/efficacy-guidelines De Angelis, C., Drazen, J. M., Frizelle, F. A., Haug, C., Hoey, J., Horton, R., et al. (2004). Clinical trial registration: A statement from the International Committee of Medical Journal Editors. The New England Journal of Medicine, 351(12), 1250–1251.https://doi.org/10.1056/NEJMe048225 U.S. Department of Health and Human Services, Food and Drug Administration. (2016, September 21). Food and Drug Administration Amendments Act of 2007 as amended by the Final Rule: Clinical trials registration and results information submission. https://www.fda.gov Caussy, Cyrielle1,2; Reeder, Scott B.3; Sirlin, Claude B.4; Loomba, Rohit*,1,5,6. Noninvasive, Quantitative Assessment of Liver Fat by MRI‐PDFF as an Endpoint in NASH Trials. Hepatology 68(2):p 763-772, August 2018.DOI: 10.1002/hep.29797 U.S. Food and Drug Administration. (2024, March 14). FDA approves first treatment for patients with liver scarring due to fatty liver disease. https://www.fda.gov/news-events/press-announcements/fda-approves-first-treatment-patients-liver-scarring-due-fatty-liver-disease. Harrison, S. A., Bedossa, P., Guy, C. D., Schattenberg, J. M., Loomba, R., Taub, R., Labriola, D., Moussa, S. E., Neff, G. W., Rinella, M. E., Anstee, Q. M., Abdelmalek, M. F., Younossi, Z., Baum, S. J., Francque, S., Charlton, M. R., Newsome, P. N., Lanthier, N., Schiefke, I., Mangia, A., … MAESTRO-NASH Investigators (2024). A Phase 3, Randomized, Controlled Trial of Resmetirom in NASH with Liver Fibrosis. The New England journal of medicine, 390(6), 497–509.https://doi.org/10.1056/NEJMoa2309000 Harrison, S. A., Bashir, M. R., Guy, C. D., Zhou, R., Moylan, C. A., Frias, J. P., Alkhouri, N., Bansal, M. B., Baum, S., Neuschwander-Tetri, B. A., Taub, R., & Moussa, S. E. (2019). Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. Lancet (London, England), 394(10213), 2012–2024.https://doi.org/10.1016/S0140-6736(19)32517-6. Younossi, Zobair M.1,2,3; Golabi, Pegah1,2,3; Paik, James M.1,2,3; Henry, Austin1; Van Dongen, Catherine1; Henry, Linda1,2,3. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology 77(4):p 1335-1347, April 2023.DOI: 10.1097/HEP.0000000000000004 Younossi, Z. M., Kalligeros, M., & Henry, L. (2025). Epidemiology of metabolic dysfunction-associated steatotic liver disease. Clinical and molecular hepatology, 31(Suppl), S32–S50.https://doi.org/10.3350/cmh.2024.0431 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99586 | - |
| dc.description.abstract | 代謝功能異常相關脂肪性肝炎(Metabolic-dysfunction associated steatohepatitis; MASH)是代謝功能異常相關脂肪肝病(MASLD)進展至肝纖維化階段的嚴重表現,通常合併伴隨肥胖、第二型糖尿病、高血壓及高血脂等代謝症候群特徵。MASH 患者因長期慢性肝臟發炎與纖維化,未來可能進一步演變至肝硬化甚至肝癌,對患者健康構成重大的威脅。肝纖維化嚴重度以分期F1至F4為分類,其中F2-F3(中度至中重度纖維化)為疾病進展的關鍵階段,未經治療可能演變為肝硬化(F4)。據統計,目前亞洲成人代謝相關脂肪肝病盛行率約為 38%,預計於 2030 年前可能進一步增加 6% 至 20%;其中進展至代謝功能異常相關脂肪性肝炎的患者預計增加 20% 至 35%(Younossi et al., 2023)。
現階段治療主要以體重控制及生活型態介入為基礎,若體重減輕達 7-10% 可以對肝脂肪堆積及肝功能有較明顯的改善療效。藥物治療方面,2024年 FDA 核准甲狀腺激素受體 β 促效劑 Resmetirom 成為首個代謝異常相關脂肪肝肝炎患者的治療藥物,另外 GLP-1受體促效劑與多種機轉藥物也正在大規模臨床試驗階段研發中。其中以GLP-1受體促效劑首先發表第三期中期試驗報告結果。 Resmetirom 雖剛通過FDA加速核准應用於中度至中重度纖維化患者,但整體治療反應率只有三成。在現有開發藥物中,GLP-1 受體促效劑已為臨床核准提供肥胖及第二型糖尿病患者使用之藥物,現階段針對MASH已在三期試驗後期階段,雖然可有效降低體重並改善代謝指標,並同時部分改善肝臟脂肪堆積和發炎,但其對纖維化改善的實際結果還需多方試驗結果累積。有鑒於 MASH 涉及多重的代謝機轉,單方的治療方式可能無法全面性的阻斷病程進展,若採用聯合治療模式,則有機會透過機轉的協同作用來增進治療成效。但現階段針對 GLP-1 受體促效劑以及甲狀腺激素受體 β 促效劑兩者療效還需要更多的文獻及試驗分析。 本研究透過 PubMed、Web of Science 與 Embase 共蒐集 525 篇相關文獻,篩選符合條件的隨機對照試驗(randomized controlled trials),最終納入 5篇研究進行統合分析(見圖 1)。本研究聚焦於探討glucagon like peptide-1 (GLP-1) 受體促效劑(GLP-1 RA)及甲狀腺激素受體 β 促效劑對於代謝功能異常相關性脂肪性肝炎(MASH)患者在組織學結果的療效,評估代謝功能異常相關性脂肪性肝炎逆轉與肝纖維化改善程度。 統合分析結果顯示,本系統性回顧與統合分析顯示,GLP-1 受體促效劑(GLP-1 RAs)與甲狀腺荷爾蒙受體-β(THR-β)促效劑皆能顯著改善 MASH(代謝功能異常相關脂肪性肝炎)患者的肝纖維化。GLP-1 RAs 組的總合併比值比為 1.92(95% CI: 1.42–2.60),THR-β 組則為 2.21(95% CI: 1.53–3.18),整體合併效益為 OR = 2.03(95% CI: 1.61–2.56,P < 0.00001),兩組間無顯著差異(P = 0.57)。在代謝異常相關脂肪肝炎逆轉方面,GLP-1 RAs 顯示更明顯療效(OR = 4.21, 95% CI: 2.48–7.16, P < 0.00001),THR-β 組則雖呈現趨勢但未達顯著(OR = 2.59, 95% CI: 0.93–7.17, P = 0.07)。此外,藥物名稱(liraglutide、semaglutide、resmetirom)之子群分析均顯示療效一致(P > 0.4),且無顯著異質性或期別差異,兩類藥物皆具有穩定的治療潛力。 而進一步的網絡統合分析顯示,GLP-1 RAs 在整體治療效果上排名最高,其 SUCRA 值達 97.4%,遠高於 THR-β(47.3%)與安慰劑(5.3%)。GLP-1 RAs 與 THR-β agonist 間的間接比較結果顯示,GLP-1 RAs 對於肝纖維化緩解的療效為 THR-β 的三倍OR 3.09 (95% CI: 0.68–10.59),具潛在臨床意義,結果支持其進一步進行兩者對比的臨床試驗之可行性。 整體來說,GLP-1 RA與THR-β皆有顯著療效,然而目前針對 GLP-1 RA對比THR-β療法尚無相關試驗結果。因此,我們設計一項開放性第二期臨床試驗,評估 GLP-1 RA 對比 THR-β對於台灣 MASH 病患之療效,並同時納入組織學與非侵入性指標,以驗證其在東亞族群中之治療潛力與臨床可行性。 | zh_TW |
| dc.description.abstract | Background and aim: Metabolic dysfunction-associated steatohepatitis (MASH) is an advanced stage of metabolic dysfunction-associated steatotic liver disease (MASLD). MASLD affects over 30% of adults in Taiwan and driven by rising obesity and diabetes. Formerly known as nonalcoholic steatohepatitis (NASH), MASH poses risk of cirrhosis and hepatocellular carcinoma, with fibrosis stages F1-F3 being pivotal. While semaglutide as glucagon like peptide-1 receptor agonists (GLP-1 RAs) alone have shown promising results in Phase III trials for MASH, the final efficacy is still under investigation, and data on GLP-1 RA-based combination therapies, particularly in the Taiwanese population, remain to be investigated. This trial design aims to address this gap by evaluating the efficacy of GLP-1 RA combination therapies in Taiwanese MASH patients.
Method: A total of 525 studies were identified from PubMed, Web of Science, and Embase. Eventually, 5 eligible studies were selected (Figure 1). Results: We found that both GLP-1 receptor agonists and THR-β agonists significantly improved fibrosis without worsening of steatohepatitis in patients with MASH. GLP-1 RAs yielded an odds ratio (OR) of 1.92 (95% CI: 1.42–2.60), while THR-β agonists achieved an OR of 2.21 (95% CI: 1.53–3.18). The overall pooled OR was 2.03 (95% CI: 1.61–2.56, P < 0.00001), with no significant subgroup differences (P = 0.57). We also found that GLP-1 RAs demonstrated a stronger effect on MASH resolution without worsening of fibrosis (OR = 4.21, 95% CI: 2.48–7.16, P < 0.00001), while the THR-β agonist group showed a trend toward benefit that did not reach statistical significance (OR = 2.59, 95% CI: 0.93–7.17, P = 0.07). The pooled estimate favored treatment overall (OR = 3.61, 95% CI: 2.51–5.21, P < 0.00001), with no statistically significant difference between subgroups (P = 0.41), although higher heterogeneity was observed in the THR-β subgroup (I² = 71%). The subgroup analyses showed that both GLP-1 receptor agonists and THR-β agonists (resmetirom) were effective in improving histological MASH and reducing fibrosis progression. GLP-1 receptor agonists showed a significant treatment effect versus placebo (OR = 4.23, 95% CI: 2.11–8.50), with consistent results across liraglutide and semaglutide. The effect of liraglutide was significant but mainly derived from a single study with a wider confidence interval (OR = 6.43, 95% CI: 1.20–34.41), while semaglutide yielded more consistent results based on two studies (OR = 4.23, 95% CI: 2.11–8.50). THR-β agonists (resmetirom) showed a favorable but non-significant trend (OR = 2.59, 95% CI: 0.93–7.17), and no significant subgroup differences were observed (P = 0.60). Furthermore, Bayesian network meta-analysis was performed to compare treatments indirectly. GLP-1 RA ranked highest in efficacy (SUCRA = 97.4%), followed by THR-β agonists (SUCRA = 47.3%) and placebo (SUCRA = 5.3%). The estimated odds ratio for GLP-1 RAs versus THR-β agonists was 3.09 (95% CI: 0.68–10.59), suggesting a potentially clinically meaningful difference favoring GLP-1 RAs, without statistical significance between each group. Conclusions: Meta-analysis demonstrates that GLP-1 receptor agonists (GLP-1 RAs), including liraglutide and semaglutide, provide histological benefits in MASH patients that are comparable to those of the THR-β agonist resmetirom, which has already received FDA regulatory approval. Subgroup analyses further support the potential of GLP-1 RA as a valuable therapeutic alternative in resolving steatohepatitis and improving fibrosis. Despite these findings, limitations such as variability in trial design, dosing, and patient characteristics must be acknowledged. Since GLP-1 RAs are already FDA-approved for the treatment of patients with obesity or diabetes, the next step is to evaluate the efficacy of combining GLP-1 RAs with THR-β agonists versus GLP-1 RA alone, to explore potential synergistic effects on liver histology in patients with MASH. To demonstrate the efficacy of GLP-1 RA and THR-β agonist in Taiwanese MASH patients, we propose an interventional study with a GLP-1 RA versus THR-β agonist to assess the efficacy in the Taiwanese population. | en |
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| dc.description.tableofcontents | 致謝…………………………………………………………………………………………………………i
中文摘要………………………………………………………………………………………………ii ABSTRACT…………………………………………………………………………………………iv CONTENTS…………………………………………………………………………………………vi LIST OF FIGURES………………………………………………………………………xi LIST OF TABLES………………………………………………………………………xii Chapter 1 Introduction………………………………………………………1 Chapter 2 Methods……………………………………………………………………3 2.1 Literature search…………………………………………………………3 2.2 Selection of trials……………………………………………………3 2.2.1 Hypothesis………………………………………………………………3 2.2.2 Detect methos of MASH…………………………………3 2.2.3 Inclusion criteria of selected studies…………………………………………………………4 2.2.4 Types of enrolled patients…………………………………………………………………………………………4 2.2.5 Types of interventions……………………………………………………………………………………………………4 2.2.6 Primary outcome………………………………………………………………………………………………………………………4 2.2.7 Dealing with missing data……………………………………………………………………………………………4 2.2.8 Definition of heterogeneity………………………………………………………………………………………4 2.2.9 Analyzed software…………………………………………………………………………………………………………………5 2.2.10 Meta-analysis…………………………………………………………………………………………………………………………5 2.2.11 Subgroup analysis and heterogeneity………………………………………………………………5 2.3 Statistical analysis………………………………………………………………………………………………………………10 Chapter 3 Results………………………………………………………………………………………………………………………………………11 3.1 Study selection and characteristics of included studies…………………11 3.2 Results of overall and subgroup…………………………………………………………………………………12 3.2.1 Overall……………………………………………………………………………………………………………………………………11 3.2.2 Subgroup analysis…………………………………………………………………………………………………………12 3.2.3 Dealing with heterogeneity…………………………………………………………………………………13 3.2.4 Bias analysis……………………………………………………………………………………………………………………14 Chapter 4 Discussion………………………………………………………………………………………………………………………………14 4.1 Comparison with previous studies………………………………………………………………………………14 4.2 Clinical implications……………………………………………………………………………………………………………14 4.3 Study limitations………………………………………………………………………………………………………………………15 4.4 Future directions………………………………………………………………………………………………………………………15 Chapter 5 Conclusions……………………………………………………………………………………………………………………………16 Chapter 6 Protocol to evaluate the efficacy of GLP-1 RA versus THR-β in MASH with F2-F3 liver fibrosis………………………………………………………………………………………………………………………………………………………………17 6.1 Synopsis…………………………………………………………………………………………………………………………………………17 6.2 Introduction, background, and rational for the study……………………19 6.3 Hypothesis of the study…………………………………………………………………………………………………20 6.4 Rationale for study design and control group……………………………………………………20 6.5 Benefit/risk and ethical assessment……………………………………………………………………………21 6.6 Study Objectives………………………………………………………………………………………………………………………………21 6.6.1 Primary Objective………………………………………………………………………………………………………………………22 6.6.2 Secondary Objective…………………………………………………………………………………………………………………22 6.6.3 Safety Objective…………………………………………………………………………………………………………………………23 6.6.4 Exploratory Objective……………………………………………………………………………………………………………23 6.7 Study Population………………………………………………………………………………………………………………………………24 6.7.1 Number of subjects……………………………………………………………………………………………………………………25 6.7.2 Inclusion criteria……………………………………………………………………………………………………………………26 6.7.3 Exclusion criteria……………………………………………………………………………………………………………………26 6.7.4 Randomization…………………………………………………………………………………………………………………………………28 6.8 Methods for assigning treatment………………………………………………………………………………………29 6.9 Method for unblinding…………………………………………………………………………………………………………………29 6.10 The rule of contraception……………………………………………………………………………………………………30 6.11 The rule of discontinuation………………………………………………………………………………………………31 6.11.1 Discontinuation of trial treatment………………………………………………………………………31 6.11.2 Subject discontinuation/withdrawal from the trial………………………………33 6.11.3 Replacement of subjects……………………………………………………………………………………………………34 6.11.4 Lost to follow-up……………………………………………………………………………………………………………………34 6.12 Study plan, assessments and procedures…………………………………………………………………34 6.12.1 The period of enrollment and screening……………………………………………………………35 6.12.2 Treatment period………………………………………………………………………………………………………………………36 6.12.3 Follow-up period………………………………………………………………………………………………………………………36 6.12.4 Patients management post final analysis…………………………………………………………36 6.12.5 Efficacy and Safety Assessments………………………………………………………………………………37 6.12.5.1 Liver Biopsy……………………………………………………………………………………………………………………………37 6.12.5.2 FibroScan® Measurements………………………………………………………………………………………………37 6.12.5.3 Body Measurements………………………………………………………………………………………………………………38 6.13 Study assessments…………………………………………………………………………………………………………………………38 6.14 Safety assessments………………………………………………………………………………………………………………………38 6.14.1 Physical examination……………………………………………………………………………………………………………38 6.14.2 Vital signs……………………………………………………………………………………………………………………………………39 6.14.3 Eye examination…………………………………………………………………………………………………………………………39 6.14.4 Adverse events and serious adverse events……………………………………………………40 6.14.5 Method of detecting AEs and SAEs……………………………………………………………………………42 6.14.6 Follow-up of AEs and SAEs………………………………………………………………………………………………42 6.15 Special safety topics………………………………………………………………………………………………………………42 6.15.1 Pregnancy…………………………………………………………………………………………………………………………………………43 6.15.2 Cardiovascular and death events………………………………………………………………………………43 6.16 Investigational product or other treatment………………………………………………………44 6.16.1 Investigational product details………………………………………………………………………………44 6.16.2 Sample size determination………………………………………………………………………………………………44 6.16.3 Populations for analyses…………………………………………………………………………………………………45 6.17 Statistical analyses…………………………………………………………………………………………………………………46 6.17.1 Statistical procedures………………………………………………………………………………………………………47 6.17.2 Statistical hypotheses………………………………………………………………………………………………………48 6.18 The management of study and data…………………………………………………………………………………50 6.18.1 Study and data management………………………………………………………………………………………………50 6.18.2 Audits and inspections………………………………………………………………………………………………………50 Chapter 7 Appendix……………………………………………………………………………………………………………………………………52 Reference……………………………………………………………………………………………………………………………………………………………61 LIST OF FIGURES Figure 1 The flowchart of meta-analysis……………………………………………………………………………52 Figure 2 Forest plot of odds ratios for MASH resolution…………………………………53 Figure 3 Forest plot of odds ratios for fibrosis improvement……………………53 Figure 4 Forest plot of odds ratios for subgroup of drug names in MASH resolution…………………………………………………………………………………………………………………………………………………………54 Figure 5 Forest plot of odds ratios for subgroup of drug names in fibrosis………………………………………………………………………………………………………………………………………………………………54 Figure 6 Bayesian network meta-analysis for overall MASH resolution (SUCRA plot)………………………………………………………………………………………………………………………………………………………………………55 Figure 7 Treatment effects for all studies: comparison of all treatment pairs in MASH resolution…………………………………………………………………………………………………………………………………………………………55 Figure 8 Bayesian network meta-analysis for all studies ranking table………………………………………………………………………………………………………………………………………………………………………56 Figure 9 Risk of bias graph……………………………………………………………………………………………………………56 Figure 10 Risk of bias summary……………………………………………………………………………………………………57 LIST OF TABLES Table 1……………………………………………………………………………6 Table 2……………………………………………………………………………8 Table 3……………………………………………………………………………58 Table 4……………………………………………………………………………59 Table 5……………………………………………………………………………60 | - |
| dc.language.iso | en | - |
| dc.subject | 甲狀腺素受體β致效劑 | zh_TW |
| dc.subject | 統合分析 | zh_TW |
| dc.subject | GLP-1 受體促效劑 | zh_TW |
| dc.subject | 肝臟 | zh_TW |
| dc.subject | 代謝功能異常相關脂肪性肝炎 | zh_TW |
| dc.subject | 纖維化 | zh_TW |
| dc.subject | GLP-1 RA | en |
| dc.subject | liver | en |
| dc.subject | MASH | en |
| dc.subject | meta-analysis | en |
| dc.subject | fibrosis | en |
| dc.subject | THR-β | en |
| dc.title | GLP-1 受體促效劑相較甲狀腺素受體β致效劑在代謝功能異常相關脂肪肝炎輕至中度纖維化之療效:系統性文獻回顧、統合分析與臨床試驗計畫書 | zh_TW |
| dc.title | Efficacy of GLP-1 Receptor Agonist versus THR-β agonist in F1-F3 metabolic dysfunction–associated steatohepatitis patients: A systematic review, meta-analysis, and clinical trial protocol | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 梁嘉德 | zh_TW |
| dc.contributor.coadvisor | Jia-Der Liang | en |
| dc.contributor.oralexamcommittee | 陳祈玲;邵文逸;胡光濬 | zh_TW |
| dc.contributor.oralexamcommittee | Chi-Ling Chen;Wen-Yi Shau;Kuang-Chun Hu | en |
| dc.subject.keyword | GLP-1 受體促效劑,甲狀腺素受體β致效劑,代謝功能異常相關脂肪性肝炎,肝臟,纖維化,統合分析, | zh_TW |
| dc.subject.keyword | GLP-1 RA,THR-β,MASH,liver,fibrosis,meta-analysis, | en |
| dc.relation.page | 63 | - |
| dc.identifier.doi | 10.6342/NTU202504157 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-08-08 | - |
| dc.contributor.author-college | 醫學院 | - |
| dc.contributor.author-dept | 臨床醫學研究所 | - |
| dc.date.embargo-lift | 2030-08-06 | - |
| 顯示於系所單位: | 臨床醫學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf 未授權公開取用 | 1.39 MB | Adobe PDF | 檢視/開啟 |
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