The Prognostic Nutritional Index (PNI) Is a Powerful Biomarker for Predicting Clinical Outcome in Gastrointestinal Emergency Patients: A Comprehensive Analysis from Diagnosis to Ou... by Ramazan Kıyak, Bahadir Caglar

“…Objective: This study aimed to evaluate the relationship between the Prognostic Nutritional Index (PNI) and demographic characteristics, presenting complaints, clinical diagnoses, and patient outcomes in patients admitted to the emergency department for gastrointestinal (GI) emergencies. The predictive value of PNI for the clinical course of patients with GI emergencies was investigated. …”
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Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma by Yongheng Chen, Xiaoxia Yu, Wencan Xu, Anqi Huang, Zhengbing Li

“…Methods An integrative approach incorporating 10 machine learning methods was employed to develop an obesity and aging-related signature (ORS) using data from the TCGA, GSE15459, GSE26253, GSE62254, and GSE84437 datasets. To assess the predictive value of ORS for immunotherapy benefits, we utilized several indicating scores and three immunotherapy datasets (GSE91061, GSE78220, and IMvigor210). …”
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Interleukin biomarkers as predictive tools for lupus nephritis grade and disease activity in systemic lupus erythematosus by Dalia S. Saif, shimaa Abdelsattar, Enas S. Zahran, Mohammed Khalil, Sanaa Samir, Hend E. Abo Mansour

“…Objectives: To investigate the predictive value of IL-17, IL-23, and IL-10 biomarkers in detecting lupus nephritis (LN) class in SLE cases. …”
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Value of two⁃dimensional speckle tracking echocardiography in predicting subclinical cardiac involvement in patients with immunoglobulin light⁃chain cardiac amyloidosis by DAI Lujia，QIAN Xiaodong，LI Yiyang

“…Receiver operating characteristic（ROC）curves were plotted to analyze the predictive value of 2D ⁃ STE parameters for subclinical cardiac involvement in AL⁃CA patients. …”
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Comprehensive multi-omics pan-cancer analysis revealed EGFLAM as a potential prognostic and immune infiltration-associated biomarker by Jian Yang, Wenqian Xu, Shengyu Wang, Zhu Yu, Yue Feng, Da Li, Junqiang Chen

“…It also demonstrated prognostic predictive value in several cancer types, suggesting its potential as a prognostic biomarker. …”
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Frailty and nutritional assessments for predicting postoperative complications in older adults undergoing non-cardiac surgery by Sunisa Chatmongkolchart, Mantana Saetang, Panalee Kittisopaporn, Thitikan Kunapaisal, Dararat Yongsata, Khwanrut Sukitpaneenit

“…We aimed to evaluate the predictive value of frailty, malnutrition, and their combined effect on postoperative complications in older patients undergoing intermediate- to high-risk non-cardiac surgery.MethodsThis study was a retrospective analysis of data from a prospectively collected cohort that included 637 patients aged ≥60 years. …”
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Outcome prediction of sepsis-induced acute kidney injury by plasma endostatin: prospective observational study by Farouk Mostafa Faris, Mahmoud Mostafa, Rania Mostafa Elhoseiny, Walid Omar Ahmed

“…Aim of work To evaluate the predictive value of plasma endostatin for renal recovery and its correlation with ICU stay and mortality in sepsis-induced AKI in patients admitted to the ICU. …”
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Informational Value of Proadrenomedullin Blood Levels in Patients with Septic Shock, Once Measured Upon Admission to ICU by V. А. Rudnov, А. V. Moldovanov, M. N. Аstafieva, E. Yu. Perevalova, V. А. Bagin, S. M. Rozanova

“…The ROC analysis showed comparable predictive value with APACHE II, SOFA and lactate scales in patients with septic shock with cut-off > 4.23 nmol/L. …”
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The use of fluorescence spectroscopy in combination with fluorescence vizualization for cystoscopy by А. А. Teplov, E. V. Filonenko, B. Ya. Alekseev, R. V. Ulianov, Yu. Yu. Andreeva

“…Local fluorescence spectroscopy combined with visual assessment of fluorescence image allowed to increase specificity of cystoscopy from 70% to 85%, total accuracy – from 80% to 86%, with improvement of predictive value for positive result from 0,67 to 0,94.…”
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Predictive Modeling of Heart Failure Outcomes Using ECG Monitoring Indicators and Machine Learning by Jia Liu, Dan Zhu, Lingzhi Deng, Xiaoliang Chen

“…Objective We evaluated the predictive value of electrocardiogram (ECG)–derived features and developed an ML model to stratify HF risk. …”
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Comparison of Finger Flexor Strength and Muscle Quality Between Climbers and Non-Climbers: Influence of Sex and Grip Type by Diego González-Martín, Javier Santos-Pérez, Sergio Maroto-Izquierdo, José Antonio de Paz, Ángel Gallego-Selles

“…Future research should further explore the predictive value of MQ and strive for standardized testing protocols.…”
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ITGAV as a promising diagnostic, immunological, and prognostic biomarker in pan-cancer by Hanyang Su, Jie Wang, Xinyu Cao, Xiangqian Zhang, Huajun Zhang, Xiaojin Liu

“…We further explored ITGAV’s correlation with immune cell infiltration and immune-related genes, its predictive role in immunotherapy response based on immunophenoscore (IPS), and its drug-binding potential through molecular docking. (1) ITGAV was significantly overexpressed in multiple cancer types including LIHC, COAD, and STAD. (2) ROC analysis confirmed its strong diagnostic value, particularly in HNSC, UCEC, and ESCA. (3) High ITGAV expression was associated with poorer survival outcomes in most cancers, while a protective role was observed in KIRC. (4) ITGAV expression was positively correlated with immune cell infiltration and co-expressed with immune-activating and immunosuppressive genes. (5) The expression level of ITGAV correlates with the IPS score, suggesting its predictive value for the benefit of immunotherapy. (6) Molecular docking identified strong binding affinities between ITGAV and six candidate compounds, including gemcitabine and pioglitazone. …”
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Establishment of a prediction model for major adverse cardiovascular and cerebrovascular events in prehypertensive patients by HE Zhi,an，LAI Jiangqiong，ZHENG Tao

“…The sensitivity，accuracy，positive predictive value and AUC of this model for predicting the occurrence of MACCE in prehypertension patients were 91.86%，90.74%，89. 15% and 0.924，respectively. …”
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A neural network for predicting occurrence of uterine fibroids in women of reproductive age by A. M. Ziganshin, G. B. Dikke, A. R. Yanbarisova

“…The prediction accuracy for the developed model was 92.3 %, sensitivity – 90.6 %, specificity – 94.2 %. The predictive value was confirmed using ROC analysis – the area under the curve was 0.93 (95 % confidence interval = 0.91–0.94; p < 0.001), which proves the promise of this method for clinical practice. …”
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Validación de la prueba de denominación de animales para el diagnóstico de la encefalopatía hepática mínima by A.D. Cano-Contreras, J.A. Velarde-Ruiz Velasco, F. Higuera-de-la-Tijera, C.F. Castillo-Diaz, D. Grajales-Velázquez, I. Méndez-Ruiz, V.A. Jiménez-Hernández, R. Aguirre-Lázaro, J.A. Sánchez-Hernández, H.R. Ordaz-Álvarez, J.M. Remes-Troche

“…Using an ANT1 cutoff point of ≤ 15, MHE was identified in 65 (32.7%) patients, along with 75% sensitivity, 72% specificity, 53% positive predictive value, 87% negative predictive value, and 73% diagnostic accuracy. …”
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Prognostic impact of systemic inflammation indicators on all-cause and CVD mortality in adults with MASLD by Yaqiong Wang, Kuangyang Chen, Jie Yu, Yifan Tu, Yuxin Zhao, Yikai Zhang, Yepeng Hu, Hong Yang, Han Yan, Chao Zheng

“…Time-dependent ROC curve was performed to analysis the predictive value of inflammatory indicators for mortality. …”
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Construction and Validation of a Nomogram-Based Predictive Model for Acute Kidney Injury Caused by Drug Resistance to Tuberculosis by Deng M, Han N, Jia M, Zheng Z, Tian Y, Wang H, Feng L

“…The calibration curve shows that the predicted values of the model are basically consistent with the actual values, indicating good performance. …”
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Rationalization of the Laboratory Diagnosis for Good Management of Malaria: Lessons from Transitional Methods by Neguemadji Ngardig Ngaba, Imteyaz A. Khan, Namrata Hange, Maria kezia Lourdes Ligsay Pormento, Manoj Kumar Reddy Somagutta, Ajay Kumar, Youssouf Abdelkerim, Alarangue Djindimadje, Samia Jahan

“…Diagnostic accuracy was analysed by calculating sensitivity, specificity, and predictive values. Results. Among 1,874 participants, 674 (35.96%) patients had positive Giemsa-stained thick blood films. …”
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Caregiver-assisted testing with HIV self-test kits for children 18 months and older: A GRADE systematic review. by Kathleen McGee, Muhammad S Jamil, Nandi Siegfried, Busisiwe Msimanga Radebe, Magdalena Barr-DiChiara, Rachel Baggaley, Cheryl Johnson

“…Pooled positive predictive value was 36.72% across three non-randomized intervention studies. …”
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The role of serial point-of-care ultrasound during cardiac arrest to predict termination of resuscitation by Farhad Heydari, Mehdi Nasr Isfahani, Babak Masoumi, Sayed Hamed Khajebashi, Forough Hajian, Fatemeh Soleimani

“…Statistical analyses included ROC curves to determine predictive values of cardiac standstill duration for non-ROSC. …”
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