Impact of corticosteroids on the efficacy of first-line pembrolizumab plus chemotherapy in patients with advanced non-small-cell lung cancer by Amytis Roboubi, Eric Wasielewski, Soraya Bordier, Amélie Turlotte, Geoffrey Pavaut, Arnaud Scherpereel, Alexis Cortot, Clément Gauvain

“…Methods: The primary endpoint was progression-free survival (PFS) according to SC exposure status (⩾10 mg/day), adjusted in a multivariate Cox model for the following confounders: age, performance status, hospital admission prior to treatment, number of metastatic sites, brain metastases, bone metastases, PD-L1 status, and histological subtype. …”
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TMEM147 Correlates with Immune Infiltration and Serve as a Potential Prognostic Biomarker in Hepatocellular Carcinoma by Sheng Cheng, Jutang Li, Ming Xu, Qun Bao, Jiaoxiang Wu, Peng Sun, Bo Han

“…The influence of TMEM147 on HCC prognosis was assessed using Kaplan–Meier analysis, Cox regression analysis, and a prognostic nomogram. …”
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Comparison of Morphological and Functional MRI Assessments of Periprostatic Fat for Predicting Prostate Cancer Aggressiveness by David Freire Maia Vieira, Cecília Vidal de Souza Torres, André de Freitas Secaf, Matheus de Moraes Palma, Gabriel de Lion Gouvea, Jorge Elias Júnior, Rodolfo Borges Reis, Valdair Muglia

“…Results: After applying exclusion criteria, 109 patients were included. Using the Cox model, dPSA (p<0.01), systemic disease at diagnosis (p<0.01), and mean ADC (p<0.02) were independent predictors of overall survival (OS). …”
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Effects of Baicalin on Gout Based on Network Pharmacology, Molecular Docking, and in vitro Experiments by Liu C, Liu W, Lu H, Fan Y, Wang A

“…Moreover, molecular docking showed that baicalin combined well with TNF, VEGFA, MMP9, COX-2, and TLR4, respectively. The results of cell experiments suggested that baicalin could reduce the levels of inflammatory cytokines by inhibiting the TLR4/NF-κB signaling pathway in MSU-stimulated THP-1 cells and regulate the expression of these hub targets.Conclusion: These results revealed that baicalin possesses “multitarget, multipathway, multilevel” regulatory effects. …”
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Statin Use and Mortality among Patients Hospitalized with Sepsis: A Retrospective Cohort Study within Southern California, 2008–2018 by Brannen Liang, Su-jau T. Yang, Kenneth K. Wei, Albert S. Yu, Brendan J. Kim, Michael K. Gould, John J. Sim

“…Mortality was compared between statin users and nonusers and within statin users (hydrophilic versus lipophilic, fungal versus synthetic derivation, and individual statins head-to-head). Multivariable Cox regression models were used to estimate hazard ratios (HR) for 30-day and 90-day mortality. …”
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Gender and melanoma subtype‐based prognostic implications of MUC16 and TTN co‐occurrent mutations in melanoma: A retrospective multi‐study analysis by Nilesh Kodali, Simona Alomary, Abhijit Bhattaru, Ahmed Eldaboush, Robert A. Schwartz, Shari R. Lipner

“…Patients were grouped based on the presence or absence of MUC16 and TTN mutations. Univariate Cox regression and Student's t‐tests were used to analyze hazard ratios and total mutation count comparisons, respectively. …”
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Biomarkers of residual risk and all-cause mortality after acute coronary syndrome. by Anna Toso, Mario Leoncini, Mauro Maioli, Simona Villani, Francesco Bellandi

“…The association between the four biomarkers and all-cause death within 3 years was evaluated with Cox proportional analysis. Results: This study included 1099 patients (68±12 years; 70.3% males). …”
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Paratubular basement membrane insudative lesions predict renal prognosis in patients with type 2 diabetes and biopsy-proven diabetic nephropathy. by Koki Mise, Yutaka Yamaguchi, Junichi Hoshino, Toshiharu Ueno, Akinari Sekine, Keiichi Sumida, Masayuki Yamanouchi, Noriko Hayami, Tatsuya Suwabe, Rikako Hiramatsu, Eiko Hasegawa, Naoki Sawa, Takeshi Fujii, Shigeko Hara, Hitoshi Sugiyama, Hirofumi Makino, Jun Wada, Kenichi Ohashi, Kenmei Takaichi, Yoshifumi Ubara

“…The endpoint was a decline of the estimated glomerular filtration rate (eGFR) by ≥ 40% from baseline or commencement of dialysis for end-stage renal disease. The Cox proportional hazard model was employed to calculate hazard ratios (HRs) and 95% confidence interval (CIs) for the death-censored endpoint.…”
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A multicenter study investigating the genetic analysis of childhood steroid-resistant nephrotic syndrome: Variants in COL4A5 may not be coincidental. by Sheng Li, Miaoyue Hu, Chao He, Yu Sun, Weifang Huang, Fengying Lei, Yunguang Liu, Zengpo Huang, Yongqiu Meng, Wenjing Liu, Xianqiang Lei, Yanfang Dong, Zihui Lin, Chunlin Huang, Rihong Zhao, Yuanhan Qin

“…The risk of progression to chronic kidney disease (CKD) was assessed using the Kaplan-Meier method and Cox proportional hazards model. The study included 69 male and 20 female participants from 86 distinct families, with the median age of disease onset being 48 months (interquartile range: 24-93). …”
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Investigating processes to support and improve informed financial consent in Australian cancer services: an implementation process mapping study and analysis by Natalie Taylor, Elizabeth Kennedy, Carolyn Mazariego, Raylene Cox, Kate Whittaker, Megan Varlow

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Modelo predictivo de parto pretérmino según gravedad de la enfermedad periodontal de la embarazada by Maritza Peña Sisto, Reinaldo López Barroso

“…Se elaboró un modelo, se valoró su poder discriminante mediante el área bajo la curva y para su calibración se calcularon las pruebas de ómnibus, los estadígrafos de R 2 de Cox, Snell, de Nagelkerke y la prueba de bondad de ajuste de Hosmer-Lemeshow para p= 0,05. …”
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The combined effects of sleep and extreme heat exposure on cognitive function among older adults by Wensu Zhou, Xuezhu Li, Qiong Wang, Li Ling, Hui Zhang

“…Six and four categories were used for combinations of heatwave exposure with sleep duration and quality, respectively. Cox regression models were applied for analysis. …”
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Comparative Analysis of Seventeen Mitochondrial Genomes of Mileewinae Leafhoppers, Including the Unique Species Mileewa digitata (Hemiptera: Cicadellidae: Mileewinae) From Xizang,... by Hongli He, Bin Yan, Xiaofei Yu, Maofa Yang

“…Analyses of nucleotide diversity and evolutionary rates indicate purifying selection on PCGs, with atp8 exhibiting the greatest variability and evolutionary rate, whereas cox1 shows the least. Genetic distance studies display minimal separation among Mileewa species, specifically Mileewa nii with Mileewa margheritae and Mileewa rufivena with Mileewa ussurica, as well as the two morphs of Mileewa digitata. …”
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Predictive Ability of Visit-to-Visit Variability of HbA1c Measurements for the Development of Diabetic Kidney Disease: A Retrospective Longitudinal Observational Study by Yunyi Yan, Nozomi Kondo, Kentaro Oniki, Hiroshi Watanabe, Tadashi Imafuku, Yuki Sakamoto, Takuro Shigaki, Akari Maruyama, Hitomi Nakazawa, Tetsuya Kaneko, Ayami Morita, Akira Yoshida, Hitoshi Maeda, Toru Maruyama, Hideaki Jinnouchi, Junji Saruwatari

“…Visit-to-visit variability of HbA1c was calculated as the internal standard deviation of HbA1c (HbA1c-SD), the coefficient of variation of HbA1c (HbA1c-CV), the HbA1c change score (HbA1c-HVS), and the area under the HbA1c curve (HbA1c-AUC) with 3-year serial HbA1c measurement data, and the associations between these indices and the development/progression of DKD were examined. Results. Cox proportional hazards models showed that the HbA1c-SD and HbA1c-AUC were associated with the incidence of microalbuminuria, independently of the HbA1c level. …”
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Developing the Ready Military Medical Force: military-specific training in Graduate Medical Education by John B Holcomb, Jan O Jansen, Eric A Elster, Matthew D Tadlock, Jennifer M Gurney, Emily W Baird, Daniel T Lammers, Richard D Betzold, Shaun R Brown, Matthew J Eckert, Daniel B Cox, Jeffrey D Kerby

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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

“…These genes were analyzed using univariate COX and machine learning algorithms to develop a prognostic scoring algorithm. …”
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Clinical value of serum biomarkers, squamous cell carcinoma antigen and apolipoprotein C-II in follow-up of patients with locally advanced cervical squamous cell carcinoma treated... by Yoko Harima, Takuro Ariga, Yuko Kaneyasu, Hitoshi Ikushima, Sunao Tokumaru, Shigetoshi Shimamoto, Takeo Takahashi, Noriko Ii, Kayoko Tsujino, Anneyuko I Saito, Hiroki Ushijima, Takafumi Toita, Tatsuya Ohno

“…Kaplan-Meier method, log-rank test, and univariate and multivariate Cox proportional hazards models were used for statistical analyses. …”
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Non-HDL-c/TC: A Novel Lipid-Related Marker in the Assessment of Severity of Coronary Artery Lesions and Cardiovascular Outcomes by Anan Huang, Xin Qi, Liping Wei, Mingyin Zhang, Shiqi Zhou

“…Non-HDL-c/TC (OR: 108.50, 95% CI: 1.57–7520.28; P=0.030) remained as an independent predicting factor of high risk under GS stratification. In unadjusted Cox model, high non-HDL-c/TC (RR: 1.976, 95% CI: 1.155–3.382; P=0.013) predicted the occurrence of adverse events. …”
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High Expression of Ten Eleven Translocation 1 Is Associated with Poor Prognosis in Hepatocellular Carcinoma by Haopeng Wen, Tengfei Ji, Liteng Lin, Nan Cheng, Kangshun Zhu, Liangqi Cao

“…The demethylation-related risk model was established by using univariate Cox regression analysis, the least absolute shrinkage and selection operator (LASSO), and stepwise Akaike information criterion (stepAIC). …”
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The Rise of Transradial Artery Access for Percutaneous Coronary Intervention in Patients with Acute Coronary Syndromes in Australia by Ryan James Ocsan, Ata Doost, Paul Marley, Ahmad Farshid

“…Transradial artery access was associated with a reduction in mortality (3% vs 6.3%; p<0.0001), MI (1.8% vs 3.9%; p=0.0004), CABG (0.6% vs 1.5%; p=0.0205), TLR (1% vs 2.9%; p<0.0001), large haematoma (0.4% vs 1.8%; p=0.0003), BARC 2 (0.2% vs 1.1%; p=0.0029), and BARC 3 events (0.4% vs 1.0%; p=0.0426). On multivariate Cox regression analysis, TFA, age ≥ 75, prior PCI, use of bare metal stents, cardiogenic shock, cardiac arrest, and multivessel coronary artery disease were associated with an increased risk of MACE. …”
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