Effect of Preoperative Intravitreal Bevacizumab on the Surgical Outcome of Neovascular Glaucoma at Different Stages by Junki Kwon, Kyung Rim Sung

“…An IVB injection before AGV implantation was administered to 45 eyes (IVB group), while it was not administered to 25 eyes (control group). Subgroup analyses were done at different stages in terms of the extent of peripheral anterior synechiae (PAS). …”
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Tumor Size as a Critical Prognostic Factor in T1-2 Stage Esophageal Cancer by Zilong Wu, Bentong Yu

“…According to the T stage, subgroup analysis showed that tumor size was not an independent risk factor in T3 and T4 stage esophageal cancer patients. …”
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Key Cell Types and Biomarkers in Heart Failure Identified through Analysis of Single-Cell and Bulk RNA Sequencing Data by Ying Kong, Ning Yang, Zhiqing Luo, Ruiting Huang, Quhuan Li

“…The CD74/CXCR4 receptor complex in myeloid cell subgroup Mφ2 was significantly upregulated, potentially acting as a crucial regulator in HF. …”
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The effect of Clostridium difficile infection on the course of liver cirrhosis by A. A. Driga, M. V. Mayevskaya, V. T. Ivashkin

“…Of patients with alcoholic LC the mean Maddrey score in Clostridium difficile-infected subgroup was significantly higher than the score of non-infected patients. …”
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Effect of Bleaching and Thermocycling on Resin-Enamel Bond Strength by Horieh Moosavi, Hamideh Sadat Mohammadipour, Marjaneh Ghavamnasiri, Sanaz Alizadeh

“…Each essential group was randomly subdivided to two subgroups: control and bleaching. In bleaching group, 35% hydrogen peroxide was applied on samples. …”
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Quiver polymerisation by Amihay Hanany, Rudolph Kalveks, Guhesh Kumaran

“…These gauge a diagonal SU/U(k) subgroup of the Coulomb branch global symmetry of a quiver (or pair of quivers) with multiple legs. …”
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Long Term Survival and Continued Complete Response of Vemurafenib in a Metastatic Melanoma Patient with BRAF V600K Mutation by K. Sahadudheen, Md. Rafiqul Islam, M. Iddawela

“…This also shows clinical safety of Vemurafenib in end stage renal failure and highlights the need for closer look at the subgroup of patients with BRAF V600K mutation and its tumour biology.…”
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Managing Patient Factors in the Assessment of Swallowing via Telerehabilitation by Elizabeth C. Ward, Shobha Sharma, Clare Burns, Deborah Theodoros, Trevor Russell

“…The current study examines a subgroup of 10 patients who underwent an online assessment of their swallowing difficulties. …”
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Short-Term Results of Switch from Conbercept to Bevacizumab or Ranibizumab in Eyes with Persistent Neovascular Age-Related Macular Degeneration by Zongyi Wang, Mengyang Li, Yuou Yao, Jie Hu, Jiyang Tang, Ran Tang, Zhenyu Piao, Jinfeng Qu

“…The mean decrease of mPEDH and cPEDH at the last follow-up after switching was significantly larger in the IVR subgroup than in the IVB subgroup (p=0.023 and 0.010). …”
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Effects of fine particulate matter and its chemical constituents on influenza-like illness in Guangzhou, China by Keyi Wu, Weidong Fan, Jing Wei, Jianyun Lu, Xiaowei Ma, Zelin Yuan, Zhiwei Huang, Qi Zhong, Yining Huang, Fei Zou, Xianbo Wu

“…By using quasi-Poisson regression models, the association between exposure to PM2.5 and its constituents and ILI risk was estimated. Stratified subgroup analyses were performed by gender, age, and season to explore in depth the effects of these factors on disease risk. …”
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Efficacy of brain stimulation therapies across psychiatric, movement, and cognitive disorders: an umbrella review synthesizing meta-analyses of randomized controlled trialsResearch... by Zhenyue Zu, Fenglan Chen, Linxi Yang, Wenzhuo Wei, Mi Zhang, Limin Huang, Ni Li, Zihan Lv, He Du, Xinrong Xue, Lijun Ma, Huixue Wang, Kai Wang, Xiaoming Li

“…We calculated pooled effect estimates for core symptoms based on the largest meta-analyses, then conducted sensitivity and subgroup analyses, and assessed heterogeneity, publication bias, and small-study effects. …”
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Association between non-insulin-based insulin resistance surrogate makers and Helicobacter pylori infection: a population-based study by Jiayu Qiu, Yueming Yu, Dingwei Liu, Sihai Chen, Youhua Wang, Jianxiang Peng, Jinliang Xie, Chengyun Wu, Feng Zhou, Hui Fang, Qirui Lai, Yong Xie

“…The associations between three IR surrogate markers and H. pylori infection were respectively investigated using logistic regression model, restricted cubic spline (RCS) curve and subgroup analysis. Results Three IR surrogate markers levels were significantly elevated in H. pylori infection participants. …”
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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

“…We evaluated the correlation between the IIP and ICI treatment outcomes in terms of objective response rates (ORR), progression-free survival (PFS), and overall survival (OS) in a cohort of 1,806 ICI-treated patients representing over 27 solid tumor types retrospectively collected from multiple institutions.Results We observed an overall IIP prevalence of 35.2% and significantly more favorable ORRs (26.3% vs 15.8%), PFS (median 5.3 vs 3.1 months, HR 0.68, 95% CI 0.61 to 0.76), and OS (median 25.3 vs 13.6 months, HR 0.66, 95% CI 0.57 to 0.75) after ICI therapy in IIP compared with non-IIP patients, respectively (p<0.001 for all comparisons). On subgroup analysis, the IIP was generally prognostic of favorable PFS across major patient subgroups, with the exception of the microsatellite unstable/mismatch repair deficient subgroup.Conclusion The AI-based IIP may represent a practical, affordable, clinically actionable, and tumor-agnostic biomarker prognostic of ICI therapy response across diverse tumor types.…”
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Learning environment as a predictor for medical students’ empathy: a multicenter cross-sectional study from 12 medical schools in China by Runzhi Huang, Jiaying Shi, Yifan Liu, Shuyuan Xian, Wei Zhang, Yuntao Yao, Xinru Wu, Yuanan Li, Haoyu Zhang, Bingnan Lu, Jiajie Zhou, Yibin Zhou, Min Lin, Xiaonan Wang, Xin Liu, Yue Wang, Wenfang Chen, Chongyou Zhang, Erbin Du, Qing Lin, Zongqiang Huang, Yu Chen, Jie Zhang, Jun Liu, Xihui Chen, Xiuwu Pan, Xingang Cui, Shizhao Ji, Huabin Yin

“…Linear regression and stratified subgroup analysis confirmed logistic regression’s findings. …”
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Hypertension moderates the relationship between plasma beta-amyloid and cognitive impairment: a cross-sectional study in Xi’an, China by Ziyu Liu, Yaoli He, Simeng Cui, Liangjun Dang, Binyan Zhang, Jin Wang, Wenhui Lu, Kang Huo, Yu Jiang, Chen Chen, Ling Gao, Shan Wei, Yi Zhao, Ningwei Hu, Jingyi Wang, Hong Lv, Hong Lv, Qiumin Qu, Qiumin Qu, Suhang Shang

“…Multivariate logistic regression examined the relationship between plasma Aβ and CI in total population, the hypertension subgroup and the non-hypertension subgroup.Results737 participants (49.5%) had hypertension and 189 participants (12.7%) had CI. …”
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Comprehensive analysis of Pan-Immune Inflammation and all-cause mortality in rheumatoid arthritis: a database-driven approach, 1999-2018 by Muradil· Mardan, Huoliang Zheng, Qingyin Xu, Shaokuan Song, Zeyu Lu, Hui Deng, Hao Cai, Qizhu Chen, Bingyi Yang, Kudelaiti· Abuduwufuer, Pengbo Chen, Bo Li, Shengdan Jiang, Leisheng Jiang, Xin-feng Zheng

“…Kaplan-Meier survival curves and subgroup analyses validated the findings and assessed potential modifiers.ResultsElevated PIV levels were strongly associated with increased all-cause mortality. …”
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Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…Additionally, heterogeneity, bias, and errors are examined through subgroup analyses based on park scale (a), functional characteristics (b), and climatic conditions (c), accompanied by the evaluation of publication bias using funnel plots.ResultsThe analysis in this research involves 50 eligible literature articles published between 2000 and 2024, which are selected from a total of 952 articles initially collected. …”
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Elevated Preoperative Neutrophil-Lymphocyte Ratio Is Associated with Poor Prognosis in Hepatocellular Carcinoma Patients Treated with Liver Transplantation: A Meta-Analysis by Xiao-Dong Sun, Xiao-Ju Shi, Yu-Guo Chen, Chuan-Lei Wang, Qiang Ma, Guo-Yue Lv

“…Meta-analysis results showed that elevated NLR was significantly associated with poorer overall survival (OS) (HR = 2.71, 95% CI: 1.91–3.83) and poorer disease-free survival (DFS) (HR = 3.61, 95% CI: 2.23–5.84) in HCC patients treated with LT. Moreover, subgroup analysis showed the significant association between elevated preoperative NLR and poor prognosis was not altered by cutoff values of NLR or types of LT. …”
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What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view by Zongyuan Liu, Harcharanjit Singh Mahinder Singh, Fatema Al Shibli

“…Using the random-effect model, meta-analytic structural equation modeling, subgroup analysis, and meta-regression, we analyzed 34 studies with 42 independent samples conducted between 2019 and 2024. …”
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Microwave System: A Novel Treatment for Localized Adiposity Reduction in a Latin American Population by Aura Ibeth Ruiz-Rosas, Nelly Patricia Muño-Velasco, Dayana Sofia Rengifo-Bolaños, Tatiana Carolina Reyes-Vivas, Paula Lozano-Bitar, Irene Fusco, Paola Andrea Russy-Buitrago

“…Data descriptive analysis was made as well as single-factor repeated measures ANOVA to show pre- and post-treatment difference, and mixed ANOVA for body mass index (BMI) subgroup analysis was performed. Results. In all patients examined, statistical significant differences were found in pre- and post-treatment skinfold test for each body area: superior abdomen (F(1,27) = 63.13; p=0.001), iliac crest (F(1, 23) = 114.33; p<0.001), posterior waist (F(1, 20) = 27.36; p<0.001), trochanter (F(1, 17) = 26.94; p<0.001), among others. …”
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