Protective role of ginsenoside Rg1 in the dynamic progression of liver injury to fibrosis: a preclinical meta-analysis by Lijuan Dan, Xiuyan Li, Shuanglan Chen, Xiaojie You, Dong Wang, Tianyuan Wang, Jia Li, Wenping Liu, Jie Mu, Quansheng Feng, Quansheng Feng

“…This study evaluated the efficacy and underlying mechanisms of ginsenoside Rg1 in animal models of liver injury and fibrosis, and providing a basis for future clinical investigation.MethodsA systematic review was conducted on preclinical studies published in PubMed, Web of Science, and Embase databases up to 1 August 2024, adhereing to rigorous quality standards. …”
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Identification of novel pQTL‐SNPs associated with lung adenocarcinoma risk: A multi‐stage study by Yutong Wu, Huiwen Xu, Liping Mao, Rongrong Zhao, Junfeng Chu, Lili Huang, Wendi Zhang, Yiran Liu, Qiong Chen, Xiaobo Tao, Siqi Li, Shenxuan Zhou, Anhui Ning, Zhenyu Li, Tian Tian, Lei Zhang, Jiahua Cui, Guangyu Tian, Minjie Chu

“…Methods “Blood +” high depth blood proteomics analysis was performed on plasma from female LUAD patients and female healthy controls, and combined with proteomics data from tumors and adjacent non‐tumor tissues of female LUAD patients to screen proteins uniformly expressed in plasma and tissues. pQTL‐SNPs were then screened through multiple databases and subjected to multilevel screening. The associations between selected pQTL‐SNPs and LUAD risk were evaluated by Female Lung Cancer Consortium in Asia GWAS (FLCCA GWAS). …”
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Targeting enolase 1 reverses bortezomib resistance in multiple myeloma through YWHAZ/Parkin axis by Xuejie Gao, Qilin Feng, Qikai Zhang, Yifei Zhang, Chaolu Hu, Li Zhang, Hui Zhang, Guanli Wang, Ke Hu, Mengmeng Ma, Zhuning Wang, Yujie Liu, Dong An, Hongfei Yi, Yu Peng, Xiaosong Wu, Gege Chen, Xinyan Jia, Haiyan Cai, Jumei Shi

“…Methods The bone marrow of clinical MM patients and healthy normal donors was used to compare the expression level of ENO1. Using online databases, we conducted an analysis to examine the correlation between ENO1 expression and both clinicopathological characteristics and patient outcomes. …”
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PMAIP1 regulates the progression of follicular thyroid carcinoma through the Wnt3/FOSL1 pathway by Haobo Wang, Fangjian Shang, Yifang Wang, Bo Pang, Bo Pang, Longfei Kang, Longfei Kang, Chuanmin Zhou, Chuanmin Zhou, Dongyun Li, Dongyun Li, Zhongxin Li, Zhongxin Li, Xia Jiang, Xia Jiang, Bo Liu, Zengren Zhao

“…MethodsThis study examined the expression level of PMAIP1 in FTC through comprehensive analysis of databases, tumor tissues, and cell lines. Following the establishment of a stably transfected plasmid in cell lines, a series of functional assays and subcutaneous xenograft experiment were conducted to investigate the role of PMAIP1 in FTC. …”
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Development and predictors of bipolar disorder in children and adolescents with depressive disorders: a systematic review, meta-analysis, and meta-regression by Gonzalo Salazar de Pablo, Violeta Perez-Rodriguez, Javier de Otazu Olivares, Javier Camacho-Rubio, Aditya Sharma, Ana Catalán, Josefien Breedvelt, Claudia Aymerich, Mihai Pop, Carmen Moreno, Ian Kelleher, Jane Anderson, Paolo Fusar-Poli, Christoph U Correll, Allan H. Young

“…Methods In this systematic review and meta-analysis (PROSPERO:CRD42023431301), PubMed and Web-of-Science databases were searched for longitudinal studies reporting the percentage of C&A with ICD/DSM-defined depressive disorders who developed BD during follow-up. …”
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Prevalence of suicidal ideation, attempts and associated risk factors in oral cancer patients: a systematic review and meta-analysis by Ganesh Bushi, Mahalaqua Nazli Khatib, Mahendra Pratap Singh, Manisa Pattanayak, Teena Vishwakarma, Suhas Ballal, Pooja Bansal, Abhay M Gaidhane, Balvir S. Tomar, Ayash Ashraf, M Ravi Kumar, Ashish Singh Chauhan, Sanjit Sah, Edward Mawejje, Muhammed Shabil

“…Methods A comprehensive literature search was conducted across PubMed, Embase, and Web of Science databases, with an initial search on August 13, 2024, and an update on December 19, 2024. …”
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Aluminium adjuvants versus placebo or no intervention in vaccine randomised clinical trials: a systematic review with meta-analysis and Trial Sequential Analysis by Christian Gluud, Marija Barbateskovic, Sara Russo Krauss, Janus C Jakobsen, Sesilje Bondo Petersen, Sarah Louise Klingenberg, Snezana Djurisic, Mette Kenfelt, De Zhao Kong

“…Objectives To assess the benefits and harms of aluminium adjuvants versus placebo or no intervention in randomised clinical trials in relation to human vaccine development.Design Systematic review with meta-analysis and trial sequential analysis assessing the certainty of evidence with Grading of Recommendations Assessment, Development and Evaluation (GRADE).Data sources We searched CENTRAL, MEDLINE, Embase, LILACS, BIOSIS, Science Citation Index Expanded and Conference Proceedings Citation Index-Science until 29 June 2021, and Chinese databases until September 2021.Eligibility criteria Randomised clinical trials irrespective of type, status and language of publication, with trial participants of any sex, age, ethnicity, diagnosis, comorbidity and country of residence.Data extraction and synthesis Two independent reviewers extracted data and assessed risk of bias with Cochrane’s RoB tool 1. …”
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Comparative efficacy and safety of GLP-1 receptor agonists for weight reduction: A model-based meta-analysis of placebo-controlled trials by Haoyang Guo, Juan Yang, Jihan Huang, Ling Xu, Yinghua Lv, Yexuan Wang, Jiyuan Ren, Yulin Feng, Qingshan Zheng, Lujin Li

“…Methods: This systematic review of public databases included placebo-controlled randomized clinical trials of GLP-1RAs. …”
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The incidence of outpatient care within 24 months from SARS-CoV-2 infection in the general population: a multicenter population-based cohort study by Federico Banchelli, Carlo Gagliotti, Angela De Paoli, Rossella Buttazzi, Elena Narne, Enrico Ricchizzi, Silvia Pierobon, Ugo Fedeli, Gisella Pitter, Elisa Fabbri, Michele Tonon, Elisa Gentilotti, Maurizia Rolli, Evelina Tacconelli, Maria Luisa Moro, Francesca Russo, Elena Berti

“…The study made use of previously recorded large-scale healthcare data available in the administrative databases of the Emilia-Romagna (E-R) and Veneto regions. …”
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Mismatch repair deficiency and microsatellite instability in urothelial carcinoma: a systematic review and meta-analysis by Ninet Sinaii, Guru Sonpavde, Amin H Nassar, Min Yuen Teo, Andrea B Apolo, Jonathan E Rosenberg, Giovanni Maria Iannantuono, Elias B A Chandran, Saad O Atiq, Dilara Akbulut, Nicholas I Simon, Abdul Rouf Banday, Salah Boudjadi, Sandeep Gurram, Gisela Butera, Jonathan A Coleman

“…We searched for studies published up to 26 October 2022 in major scientific databases. We screened 1745 studies and included 110. …”
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A novel gene signature for predicting outcome in colorectal cancer patients based on tumor cell-endothelial cell interaction via single-cell sequencing and machine learning by Lina Pang, Qingxia Sun, Wenyue Wang, Mingjie Song, Ying Wu, Xin Shi, Xiaonan Shi

“…The Malignant Cluster01 and Tip-like endothelial cells related machine learning-derived prognostic signature (MTMLDPS), demonstrated potent prognostic capability, effectively predicting colorectal cancer patient outcomes across diverse databases. The colorectal cancer group with a high Malignant Cluster01 and Tip-like endothelial cells related machine learning-derived prognostic signature score exhibited significant associations with invasion, epithelial-mesenchymal transition, and angiogenesis pathways, along with immune cell infiltration. …”
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Multi-omics reveals that ST6GAL1 promotes colorectal cancer progression through LGALS3BP sialylation by Yuanchao Shi, Zhenzhong Pan, Jingwei Duan, Zexing Wang, Yiliang Fang, Bo Tang, Quanlin Guan

“…We found that ST6GAL1 was significantly upregulated in tumor samples than in matched normal samples by analyzing fresh clinical samples from public databases (mean mRNA expression level: tumor vs. normal samples = 0.002712:0.000966, P < 0.05, n = 22). …”
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Linking weather and climate information services (WCIS) to Climate-Smart Agriculture (CSA) practices by Tafadzwanashe Mabhaudhi, Tinashe Lindel Dirwai, Cuthbert Taguta, Aidan Senzanje, Wuletawu Abera, Ajit Govid, Elliott Ronald Dossou-Yovo, Ermias Aynekulu, Vimbayi Grace Petrova Chimonyo

“…It involved the search of the Scopus and Web of Science databases for peer-reviewed articles, books, and grey literature focussed on the global south. …”
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Analysis of mutations in CDC27, CTBP2, HYDIN and KMT5A genes in carotid paragangliomas by E. N. Lukyanova, A. V. Snezhkina, D. V. Kalinin, A. V. Pokrovsky, A. L. Golovyuk, O. A. Stepanov, E. A. Pudova, G. S. Razmakhaev, M. V. Orlova, A. P. Polyakov, M. V. Kiseleva, A. D. Kaprin, A. V. Kudryavtseva

“…Paired histologically normal tissues or blood were unavailable, so potentially germline mutations were excluded from the analysis with strong filtering conditions using 1000 Genomes Project and ExAC databases. In this work, ten genes (ZNF717, CDC27, FRG2C, FAM104B, CTBP2, HLA-DRB1, HYDIN, KMT5A, MUC3A, and PRSS3) characterized by the highest level of mutational load were analyzed. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

“…Methods: Healthcare Utilization databases of the Italian region of Lombardy and the Google Trends website were used to measure the weekly utilization of emergency and healthcare services and determining the volume of Google searches from 2020 to 2022. …”
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Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis by Ganesh Sharma, Neeraj Kumar, Chandra Shekhar Sharma, Taha Alqahtani, Yewulsew Kebede Tiruneh, Sharifa Sultana, Gabriel Vinícius Rolim Silva, Gabriela de Lima Menezes, Magdi E. A. Zaki, Jonas Ivan Nobre Oliveira

“…A comprehensive analysis of compounds from the ChemDiv and PubChem databases was performed. The physicochemical properties, pharmacokinetics, and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles were evaluated to determine drug similarity and safety. …”
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Investigating the implementation of infection prevention and control practices in neonatal care across country income levels: a systematic review by Emanuela Nyantakyi, Julia Baenziger, Laura Caci, Kathrin Blum, Aline Wolfensberger, Angela Dramowski, Bianca Albers, Marta Castro, Marie-Therese Schultes, Lauren Clack

“…Methods Following a targeted search in seven databases, titles and abstracts as well as full texts were screened in a dual review process to identify studies focusing on the implementation of IPC practices in inpatient neonatal care and reporting on implementation determinants and/or implementation strategies. …”
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Effectiveness and safety of percutaneous endoscopic debridement and drainage for spinal infections: a systematic review and meta-analysis by Guozhong Zhou, Xiaorong Liu, Zhi Liang, Xuesong Chen, Chao Song

“…Methods On 20 October 2023, we searched the EMBASE, PubMed, Cochrane Library, China Biology Medicine Disc, China National Knowledge Infrastructure, and Wanfang databases for eligible studies. Cohort studies on SI treated with PEDD, reporting relevant effectiveness or safety outcomes. …”
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Prognostic and clinicopathological role of soluble programmed cell death ligand-1 in patients with diffuse large B-cell lymphoma: a meta-analysis by Hongbin Lu, Lulu Luo, Jie Mi, Min Sun, Huaping Wang, Zheng Wang, Wenwen Ding

“…This study investigated the effect of soluble PD-L1 (sPD-L1) expression on the prognosis of patients with DLBCL.MethodsWe comprehensively searched the Web of Science, PubMed, Embase, and CNKI databases between their inception and August 14, 2024. …”
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Diagnostic features, management and prognosis of type 2 myocardial infarction compared to type 1 myocardial infarction: a systematic review and meta-analysis by Kyle White, Ian Scott, Mansey Kinarivala

“…Importance Distinguishing type 2 (T2MI) from type 1 myocardial infarction (T1MI) in clinical practice can be difficult, and the management and prognosis for T2MI remain uncertain.Objective To compare precipitating factors, risk factors, investigations, management and outcomes for T2MI and T1MI.Data sources Medline and Embase databases as well as reference list of recent articles were searched January 2009 to December 2020 for term ‘type 2 myocardial infarction’.Study selection Studies were included if they used a universal definition of MI and reported quantitative data on at least one variable of interest.Data extraction and synthesis Data were pooled using random-effect meta-analysis. …”
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