Norepinephrine Enhances Aerobic Glycolysis and May Act as a Predictive Factor for Immunotherapy in Gastric Cancer by Yangyang Wang, Shuchang Wang, Qin Yang, Jun Li, Fengrong Yu, Enhao Zhao

“…The MAOA or MAOB expression levels in tumor tissue were closely correlated with the patient SUV max values of PET-CT and immunotherapy evaluation indices, such as PD-L1 and the microsatellite status. …”
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The predictive value of perirenal fat thickness in systemic inflammatory response syndrome after percutaneous nephrolithotomy by Jue Gong, Wei Ouyang, Wen Liu, Guangming Yin, Peng Yuan

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Predictive value of S100-B and copeptin for outcomes following seizure: the BISTRO International Cohort Study. by Yonathan Freund, Benjamin Bloom, Jerome Bokobza, Nacera Baarir, Said Laribi, Tim Harris, Vincent Navarro, Maguy Bernard, Rupert Pearse, Bruno Riou, Pierre Hausfater, BISTRO Investigators

“…<h4>Objective</h4>To evaluate the performance of S100-B protein and copeptin, in addition to clinical variables, in predicting outcomes of patients attending the emergency department (ED) following a seizure.…”
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AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models by Faruk Dikmen, Ahmet Demir, Bestami Özkaya, Muhammad Owais Raza, Jawad Rasheed, Tunc Asuroglu, Shtwai Alsubai

“…The results demonstrate that effluent volatile suspended solids (VSS) consistently held the highest predictive importance across all feature selection methods. …”
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Predictive value of proinflammatory activation in prognosis of cardiovascular events after treatment of chronic lymphoid leukemia by B. B. Samura

“…Aim: To evaluate the prognostic value of circulating interleukin-6 and CD40 ligand in patients after chronic lymphoid leukemia treatment. …”
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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

“…This structured representation is then used to enhance predictive tasks. <b>Results:</b> Performance evaluations on the MIMIC-IV dataset indicate that the PKGNN framework outperforms state-of-the-art baseline models in predicting mortality and 30-day hospital readmission. …”
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Predictive Value of Netrin-1 Expression and Ultrasonic Blood Flow in Cervical Intraepithelial Neoplasia Severity by Liu B, Wei L, Wu L, Wang H, Wang H, Yu Q

“…Bo Liu, Ling Wei, Lirui Wu, Huiying Wang, Hongli Wang, Qian Yu Department of Gynecology, Hebei Petro China Center Hospital, Langfang, People’s Republic of ChinaCorrespondence: Ling Wei, Email 74037604@qq.comObjective: To analyze the relationship and predictive value of Netrin-1 expression and ultrasonic blood flow parameters with the severity of cervical intraepithelial neoplasia (CIN).Methods: A retrospective analysis was performed on 115 patients diagnosed with CIN and 37 patients with chronic cervicitis, all of whom underwent surgical intervention. …”
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Subacute postoperative atrial fibrillation after heart surgery: Incidence and predictive factors in cardiac rehabilitation by Vincenzo Rizza, Francesco Maranta, Lorenzo Cianfanelli, Iside Cartella, Francesco Maisano, Ottavio Alfieri, Domenico Cianflone

“…Continuous monitoring with 12‐lead ECG telemetry was performed. We evaluated the predictive role of anamnestic, clinical, and laboratory data, including baseline NLR. …”
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A Predictive Value of Red Blood Cell Distribution Width in Hodgkin Lymphoma in Iraqi Patients by Alaa Kadhum, Adel S. Aqabi

“… Aim: to assess role of Red Blood cell Distribution Width as predictive factor in Hodgkin lymphoma. Patient, material, methods: the study to assess Iraqi patient including male and female with Hodgkin lymphoma age between (16-55 years) by compare RDW level at time of diagnosis then after 2 cycle and lastly at the end of chemotherapy. …”
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Development and validation of a predictive model for frailty risk in older adults with cardiovascular-metabolic comorbidities by Lulu Yan, Lulu Yan, Entong Ren, Chenjiao Guo, Yuanyuan Peng, Hao Chen, Weihua Li

“…LASSO regression and logistic regression was conducted to evaluate factors associated with frailty. A nomogram was constructed using the identified predictors to predict outcomes. …”
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Predictive model for sarcopenia in patients with non-small cell lung cancer and malignant pleural effusion by Hengxing Gao, Xuexue Zou, Meng Fan, Mingwei Chen

“…A nomogram was developed to facilitate personalized prediction of sarcopenia for individual patient. The ROC curve demonstrated that the nomogram model incorporating these predictive factors achieved an area under the curve (AUC) of 0.889, indicating its discriminatory power in predicting sarcopenia. …”
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Predictive Role of Systemic Inflammatory Indices in Surgically Managed Postpericardiotomy Syndrome Following Cardiac Surgery by Murat Yücel, Emrah Uğuz, Muhammet Fethi Sağlam, Kemal Eşref Erdoğan, Mete Hıdıroğlu, Altay Alili, Şeref Alp Küçüker

“…<b>Methods:</b> A total of 150 patients were retrospectively analyzed. …”
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Predictive Value of Resistin in Acute Coronary Syndrome Patients with and without Type 2 Diabetes Mellitus by Istabraq shehap, Hazim Ghazzay, Khalid Abdulghafoor

“…&nbsp; In addition, correlating serum resistin with clinical and biochemical parameters was another objective.Materials and Methods: This study included 60 patients with ACS diagnoses. …”
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Predictive biomarkers of survival in patients with advanced hepatocellular carcinoma receiving atezolizumab plus bevacizumab treatment by Young Eun Chon, Jaekyung Cheon, Hyeyeong Kim, Beodeul Kang, Yeonjung Ha, Do young Kim, Seong Gyu Hwang, Hong Jae Chon, Beom Kyung Kim

“…Abstract Background Since atezolizumab plus bevacizumab (ATE+BEV) regimen for patients with unresectable hepatocellular carcinoma (HCC) was released quite recently, real‐world data are lacking. We evaluated efficacy, safety, and predictive biomarkers for survival in patients receiving ATE+BEV. …”
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Predictive value of an early amplitude-integrated electroencephalogram for short-term neurologic outcomes in preterm infants by Kyung Hee Park, Young Mi Kim, Yun-Jin Lee, Mi Hye Bae, Na Rae Lee, Young Mi Han, Hye-Young Kim, Su Young Kim, Shin Yun Byun

“…The aim of this study was to compare serial scores of amplitude-integrated electroencephalography (aEEG) in preterm infants with favorable neurologic outcome compared with those with unfavorable neurologic outcome and to evaluate whether aEEG in the early days of life has predictive value for short-term neurologic outcome in preterm infants. …”
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Predictive Value of 5-Methoxytryptophan on Clinical Outcome in Patients with Sepsis Associated Acute Kidney Injury by Sun X, Liu Y, Liu Y, Ai S, Luo P

“…Additionally, we seek to evaluate the predictive value of 5-MTP in long-term clinical prognosis following SA-AKI.Patients and Methods: A prospective cohort study included 31 healthy controls and 78 patients diagnosed with sepsis at the Affiliated Hospital of Qinghai University. …”
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Predictive score for in-hospital mortality in patients with severe acute exacerbations of chronic obstructive pulmonary disease by Yanlu Hu, Yanyan Li, Zhenzhen Xing, Yang Cao, Huanyu Long, Yanfei Guo

“…The aim of this study was to establish a predictive score for assessing the risk of death in patients with severe acute exacerbations of COPD (AECOPD) to help clinicians evaluate the condition and prognosis of patients. …”
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Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers by Yifei Zhao, Hao Zhu, Changfei Dai, Wen Liu, Wenjin Yu, Bin Yan, Xiyang Ji, Lin Li, Dong Wei, Zhaopan Li, Ping Chen

“…Therefore, we developed a prediction model for END based on these markers and evaluated its accuracy and clinical utility. …”
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Expression of p63 as predictive and prognostic factor in advanced non-small-cell lung cancer by Cvetković Gordana, Plavec Goran, Tatomirović Željka, Jović Milena, Lončarević Olivera, Trifunović Zoran, Vuković Jelena, Stojsavljević Marko, Milić Gordana

“…Methods. Expression of p63 in 85 NSCLC (stages III, and IV) was investigated by the use of immunohistochemistry. …”
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Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning by Tiantian He, Jie Geng, Chuandong Hou, Hongyi Li, Hong Zhang, Peng Zhao, Peifeng He, Xuechun Lu

“…Additionally, 12 machine learning algorithms were employed to construct predictive models for DLBCL, with performance evaluated using AUC and F-score metrics. …”
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