Ovarian cancer prevention through opportunistic salpingectomy during abdominal surgeries: A cost-effectiveness modeling study. by Angela Kather, Habib Arefian, Claus Schneider, Michael Hartmann, Ingo B Runnebaum

“…The study is limited to data from the inpatient sector and direct medical costs.…”
Get full text

Development and validation of prediction models for death within 6 months after cardiac arrest by Jianping Lu, Jianping Lu, Yuqi Zeng, Yuqi Zeng, Nan Lin, Qinyong Ye, Qinyong Ye

“…Patients were divided into an “alive” group (95 cases) and a “dead” group (104 cases) according to their survival status 6 months after CA. Demographic data, medical history, and laboratory results were collected. …”
Get full text

Sarcopenia Is Associated With Increased Risk of Abnormal Sleep Duration in the Older People: A 10‐Year Cohort Study From China by Yimi Wang, Weixin Chen, Chun Wang, Lingzhi Li, Bingqing Bi, Shugang Li, Hao Wu

“…Methods This study utilized longitudinal data including 2061 older people from China Health and Retirement Longitudinal Study 2011–2020. …”
Get full text

Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia by Rayan Alsuwaigh, Christine Ang, Jessica Quah, Charlene Jin Yee Liew, Lin Zou, Xuan Han Koh, Venkataraman Narayan, Tian Yi Lu, Clarence Ngoh, Zhiyu Wang, Juan Zhen Koh, Zhiyan Fu, Han Leong Goh

Get full text

Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

“…The collection tool in this research includes a questionnaire of purchase intention pattern based on customers' experience in designed virtual networks. Data analysis was done through SPSS and SMART PLS software. …”
Get full text

SUDEP risk is influenced by longevity genomics: a polygenic risk score studyResearch in context by Helena Martins, James D. Mills, Susanna Pagni, Medine I. Gulcebi, Angeliki Vakrinou, Patrick B. Moloney, Lisa M. Clayton, Ravishankara Bellampalli, Hannah Stamberger, Sarah Weckhuysen, Pasquale Striano, Federico Zara, Richard D. Bagnall, Rebekah V. Harris, Kate M. Lawrence, Lynette G. Sadleir, Douglas E. Crompton, Daniel Friedman, Juliana Laze, Ling Li, Samuel F. Berkovic, Christopher Semsarian, Ingrid E. Scheffer, Orrin Devinsky, Karoline Kuchenbaecker, Simona Balestrini, Sanjay M. Sisodiya

“…We hypothesised that common genetic variation contributes to SUDEP risk. Methods: Genetic data from people who had succumbed to SUDEP was compared to data from people with epilepsy who had not succumbed to SUDEP and from healthy controls. …”
Get full text

A Prediction Model of Disease Progression in X-Linked Alport syndrome Based on Clinical Characteristics and Genetic Variants by Mengyao Zeng, Hongling Di, Jie Ding, Yanqin Zhang, Hong Xu, Jingyuan Xie, Jianhua Mao, Aihua Zhang, Guisen Li, Jiahui Zhang, Erzhi Gao, Dandan Liang, Qing Wang, Ling Wang, Yu An, Chunxia Zheng, Zhihong Liu

“…Cox proportional hazards regression analysis with stepwise selection was used to select the important variables related to the progression to kidney failure, by using the baseline demographic, clinical, and genetic data. …”
Get full text

Comparison of Lipoprotein-Associated Phospholipase A2 and High Sensitive C-Reactive Protein as Determinants of Metabolic Syndrome in Subjects without Coronary Heart Disease: In Sea... by Mónica Acevedo, Paola Varleta, Verónica Kramer, Giovanna Valentino, Teresa Quiroga, Carolina Prieto, Jacqueline Parada, Marcela Adasme, Luisa Briones, Carlos Navarrete

“…A logistic regression analysis was performed with each biomarker and receiver operating characteristic (ROC) curves were constructed for MS. …”
Get full text

Prediction of primary biliary cholangitis among health check-up population with anti-mitochondrial M2 antibody positive by Haolong Li, Song Liu, Xu Wang, Xinxin Feng, Siyu Wang, Yanli Zhang, Fengchun Zhang, Li Wang, Tengda Xu, Yongzhe Li

“…Multivariate Cox regression is used to construct a predictive model based on 7 selected variables, and time-dependent receiver operating characteristic analysis showed that the area under the curve of the prediction model at 3, 5, and 10 years were, respectively, 1.000, 0.875, and 0.917. …”
Get full text

Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model by Fuyu Guo, Shiwei Sun, Xiaoqian Deng, Yue Wang, Wei Yao, Peng Yue, Shaoduo Wu, Junrong Yan, Junrong Yan, Junrong Yan, Xiaojun Zhang, Xiaojun Zhang, Xiaojun Zhang, Yangang Zhang, Yangang Zhang, Yangang Zhang

“…The objective is to provide guidance for developing scientifically individualized treatment plans, assessing prognosis, and planning preoperative interventions.MethodsA retrospective analysis was conducted on clinical and imaging data from 270 patients with BC confirmed by surgical pathology at the Third Hospital of Shanxi Medical University between November 2022 and April 2024. …”
Get full text

Surface distributions and vertical profiles of trace gases (CO, O₃, NO, NO₂) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022 by B. Barret, P. Medina, N. Brett, R. Pohorsky, K. S. Law, S. Bekki, G. J. Fochesatto, J. Schmale, S. R. Arnold, A. Baccarini, M. Busetto, M. Cesler-Maloney, B. D'Anna, S. Decesari, J. Mao, G. Pappaccogli, J. Savarino, F. Scoto, W. R. Simpson

“…<p>Electrochemical gas sensors (EGSs) have been used to measure the surface distributions and vertical profiles of trace gases in the wintertime Arctic boundary layer during the Alaskan Layered Pollution and Chemical Analysis (ALPACA) field experiment in Fairbanks, Alaska, in January–February 2022. …”
Get full text

Identification and validation of a KRAS-macrophage-associated gene signature as prognostic biomarkers and potential therapeutic targets in melanoma by Beichen Cai, Beichen Cai, Beichen Cai, Qian Lin, Qian Lin, Qian Lin, Ruonan Ke, Ruonan Ke, Ruonan Ke, Jiaqi Yu, Jiaqi Yu, Jiaqi Yu, Lu Chen, Lu Chen, Xuejun Ni, Xuejun Ni, Hekun Liu, Xiuying Shan, Xiuying Shan, Biao Wang, Biao Wang, Biao Wang

“…Gene set enrichment analysis (GSEA) was utilized to characterize the molecular pathways associated with KRAS signaling. …”
Get full text

Association between triglyceride-glucose related indices and at-risk NASH in U.S. adults with NAFLD: results from NHANES 2017-2020 by Hanchen Ma, Wenjie Zhang, Wenjie Zhang, Zheng Zhao, Shuaichen Jin, Linchuan Li, Linchuan Li, Ruizhao Zong, Ruizhao Zong, Wuyang Li, Wuyang Li, Ziwei Zhang, Ziwei Zhang, Shichang Cui, Shichang Cui, Yunmiao Pan, Jiankang Zhu, Jiankang Zhu, Guangyong Zhang, Guangyong Zhang, Guangyong Zhang

“…This study aimed to evaluate the relationship between TyG related indices and at-risk NASH in a nationally representative NAFLD cohort.MethodsUsing data from the 2017–2020 National Health and Nutrition Examination Survey (NHANES), adults with NAFLD diagnosed via vibration-controlled transient elastography (VCTE) were analyzed. …”
Get full text

Multivariate predictive model of the therapeutic effects of metoprolol in paediatric vasovagal syncope: a multi-centre studyResearch in context by Yaxi Cui, Jing Zhang, Yuwen Wang, Ying Liao, Keyu Liu, Wenrui Xu, Shu Wu, Chufan Sun, Chunyu Zhang, Qingyou Zhang, Ping Liu, Yuli Wang, Yanjun Deng, Chen Shen, Yao Lin, Hong Cai, Juan Zhang, Runmei Zou, Ping Liu, Shuo Wang, Hongfang Jin, Lin Shi, Cheng Wang, Junbao Du

“…Univariate analysis and logistic regression were used to select the candidate predictors. …”
Get full text

Diagnosing prostate cancer in the PSA gray zone through machine learning and transrectal ultrasound video by Qin Wu, Chengyi Wu, Maoliang Zhang, Jie Yang, Junxiang Zhang, Yun Jin, Yanhong Du, Xingbo Sun, Liyuan Jin1, Kai Wang, Zhengbiao Hu, Xiaoyang Qi1, Jincao Yao, Zhengping Wang, Dong Xu

“…The performance of the model was comprehensively assessed using receiver operating characteristic (ROC) curve analysis, with diagnostic effectiveness measured through metrics such as the area under the curve (AUC), sensitivity, specificity and overall accuracy. …”
Get full text

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis by Qianqian Zhao, Yijie Li, Chunliu Zhao, Ran Dong, Jiaxin Tian, Ze Zhang, Lin Huang, Jingwen Huang, Junhai Yan, Zhitao Yang, Jiangnan Ruan, Ping Wang, Li Yu, Jieming Qu, Min Zhou

“…Chest CT images were analyzed using qCT software. Clinical data and laboratory parameters were obtained from electronic health records. …”
Get full text

Effective synthesis and application of artichoke and orange peels-based bio-sorbents for Ketoprofen removal from wastewater: Process optimization using Factorial methodology by Amel Khalfaoui, Abderrezzaq Benalia, Zakaria Laggoun, Raouf Bouchareb, Imane Zaamta, Rania Melloul, Amina Menasria, Slimane Merouani, Antonio Pizzi, Kerroum Derbal

“…Two new bio-adsorbents were successfully synthesized by doping method with zinc chloride salt (ZnCl2) of raw artichoke leaves (RAL) and raw orange peels waste (ROP). Different analysis techniques (i.e. BET, SEM, XRD, FTIR) were used for characterizing the synthesized materials. …”
Get full text

Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

“…A total of 169 patients were divided into two groups: OCT HRP (n = 55) and OCT non-HRP (n = 114) groups. Clinical data, laboratory results, and OCT characteristics of the patients were collected. …”
Get full text

Development, validation, and visualization of a web-based nomogram for predicting chronic kidney disease incidence at health examination centers by Chuxuan Luo, Lanjun Fu, Lin Liu, Maosheng Chen, Kunliang Chen, Yiwen Li, Bo Lin, Juan Jin, Bin Zhu, Qiang He, Lina Shao

“…The nomogram’s performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curve analysis.Results Out of the 9667 healthy individuals included in the study with mean age of 46 years, sex ratio (male/female) of 1.69 (6075/3592), 118 (2.59%), 51 (2.61%), and 60 (1.90%) individuals developed CKD in the training (n = 4563), internal validation (n = 1952), and external validation (n = 3152) datasets, respectively. …”
Get full text

Impact of pump position on postoperative outcomes in less invasive left ventricular assist device implantation by Tomoyuki Suzuki, Tomoyuki Suzuki, Hayato Ise, Robin Döpp, Patric Kröpil, Patric Kröpil, Yoshikatsu Saiki, Artur Lichtenberg, Udo Boeken, Hug Aubin, Payam Akhyari, Yukiharu Sugimura

“…The clinical outcomes were retrospectively reviewed, and data of 66 comparable patients from each group extracted by propensity score matching were analyzed. …”
Get full text