The accuracy of 3D-TUI and 3D power Doppler using Alalfy simple criteria in the diagnosis of placenta accreta spectrum by Mahmoud Alalfy, Soha Talaat Hamed, Alaa Sobhi Abd El Ghani, Ahmed Elgazzar, Amr Abbassy, Ahmed S. S. A. Rashwan, Omar Nagy, Mohamed A Shalaby, Hatem Hassan, Asmaa Ibrahem, Hesham Kamal, Reham Mahrous, Eman Kamal

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of the 3D-TUI cuts in diagnosing adherent from non-adherent were 100%, 100%, 100%, 100% and 100%, respectively. 3D TUI-cuts has a diagnostic accuracy of 98.8 percent when compared to operative findings in accurately determining the exact subtype of placenta accreta spectrum. …”
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Comparative performance and health economic analysis of prenatal screening for down syndrome in Fujian province, China by Lin Zheng, Nuolan Yin, Meiying Wang, Hailong Huang, Shuyu Zhang, Linjuan Su, Liangpu Xu

“…A comparison of screening performance between the two groups showed that NIPT had significantly higher specificity (99.96%) and positive predictive value (55.56%) than FTSS (specificity: 92.93%, positive predictive value: 0.91%). …”
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Diagnostic value of multiparametric ultrasound and the EU-TIRADS system for differentiation of focal thyroid lesions by A. V. Pomortsev, O. S. Tokarenko

“…The characteristics of the SWE score were: sensitivity = 81%, specificity = 90.3%, positive predictive value = 88%, negative predictive value = 91%, and accuracy of comprehensive study = 88.4%.…”
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Monitoring breast cancer progression through circulating methylated GCM2 and TMEM240 detection by Chin-Sheng Hung, Hsieh-Tsung Shen, Pei-Yu Wang, Chih-Ming Su, Wei-Wen Hsu, Kuan-Yu Chien, Cai-Sia Han, Li-Min Liao, Ruo-Kai Lin

“…Validation in a separate cohort of 325 patients (20% with recurrence or metastasis) demonstrated superior performance compared to CA15-3 and CEA, achieving 95.1% accuracy, 89.4% sensitivity, 96.5% specificity, 86.8% positive predictive value (PPV), and 97.3% negative predictive value (NPV). …”
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Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

“…We evaluated the consensus code set's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in identifying cirrhosis cases. …”
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Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

“…During external validation, the model achieved a sensitivity of 0.8600, specificity of 0.9056, positive predictive value of 0.8698, and negative predictive value of 0.8686, underscoring its accuracy across diverse patient cohorts. …”
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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and likelihood ratios will be calculated to determine the ability of the new app to accurately measure vital signs. …”
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Urinary Albumin-to-Creatinine Ratio (uACR) Point-of-Care (POC) Device with Seamless Data Transmission for Monitoring the Progression of Chronic Kidney Disease by Artitaya Thiengsusuk, Napaporn Youngvises, Runtikan Pochairach, Rehab Osman Taha, Kridsada Sirisabhabhorn, Nadda Muhamad, Wanchai Meesiri, Wanna Chaijaroenkul, Kesara Na-Bangchang

“…The PPV (positive predictive value) was 100%, indicating perfect identification of patients with severe nephropathy (uACR > 300 mg/g creatinine). …”
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A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

“…The nomogram showed higher predictive value and net clinical benefit than traditional indicators. …”
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Evaluation of Plasma Soluble Cd40 Ligand Levels in Children with Familial Mediterranean Fever and Its Relationship with Carotid Intima–Media Thickness by Sukriye Ozde, Cansu Mehdizade, Ozel Mehmet Ali, Cem Ozde, Osman Kayapinar, Muferret Erguven

“…This analysis demonstrated that sCD40L levels exceeding 100 pg/mL were predictive of FMF, yielding a sensitivity of 70.6% and a specificity of 62.3%. The positive predictive value and negative predictive value were 55.4% and 64.3%, respectively. …”
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Phase angle as a predictor of motor function decline in children with Duchenne muscular dystrophy by Qin Hu, Xiaoyong Chen, Shaojie Luo, Yanhong Wang, Peicong Fan, Xiaona Wu, Hui Zhou, Huayan Xu, Na Li, Xiaotang Cai

“…PhAs in legs demonstrate the strongest correlation and highest predictive value for lower limb motor function loss(AUC from 0.725 to 0.863). …”
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Incremental Prognostic Value of Hippocampal Metabolic Activity for Sudden Cardiac Death in Patients With Heart Failure With Reduced Ejection Fraction by Zhiyong Shi, Mingkai Yun, Binbin Nie, Yujie Bai, Yaqi Zheng, Enjun Zhu, Yuetao Wang, Marcus Hacker, Yongqiang Lai, Baoci Shan, Sijin Li, Xiaoli Zhang, Xiang Li

“…Background Hippocampal injury is linked to cognitive impairment and cardiac events in patients with heart failure with reduced ejection fraction. However, the predictive value of hippocampal metabolic activity (HMA) for sudden cardiac death (SCD) and the underlying mechanisms remain unclear. …”
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Bowel viability assessment during surgery (review of the literature) by A. A. Zacharenko, M. A. Belyaev, A. A. Trushin, D. A. Zaytcev, R. V. Kursenko

“…Parameters of techniques are analyzed: intraoperative clinical application, invasiveness, objectivity and quantification of viability parameters, predictive value for necrosis and anastomotic leakage. …”
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Myocardium-to-cavity ratio derived from simultaneous 99mTc-PYP/201Tl dual-isotope SPECT imaging to differentially diagnose transthyretin cardiac amyloidosis by Shozo Yamashita, Kenichi Nakajima, Teppei Kitano, Hiromu Kato, Tatsuya Yoneyama, Haruki Yamamoto, Kunihiko Yokoyama

“…The M/C ratio demonstrated 100% sensitivity, specificity, and predictive values, irrespective of imaging time. In contrast, the H/CL ratios showed 100% sensitivity, 95% specificity, 79% positive predictive value, and 100% negative predictive value. …”
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VISCERAL ADIPOSITY AS A GLOBAL FACTOR OF CARDIOVASCULAR RISK by G. A. Chumakova, T. Yu. Kuznetsova, M. A. Druzhilov, N. G. Veselovskaya

“…On the other hand, the two most global problems of this relationship — “obesity paradox” and heterogeneity of obesity phenotypes by cardiometabolic risk, released multiple discussions on the issues of predictive value of body overweight and obesity, and worth of correction in patients under the secondary prevention framework. …”
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The validity of monitoring the control of diabetes with random blood glucose testing by O.F. Daramola, B. Mash

“…Retrospective data from a district hospital setting were used to analyse the correlation between glycated haemoglobin (HbA1c) and RBG, the best predictive value of RBG, and its predictive properties. …”
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Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK Biobank by Heli Julkunen, Juho Rousu

“…In a clinical cardiovascular risk prediction scenario using the established QRISK3 model, the method adds predictive value by identifying interactions beyond the age interaction effects currently included. …”
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Predictors for Gangrene and Perforation of Gallbladder Wall in Patients with Acute Cholecystitis by Polina Marinova

“…The total possible score was 11 points. The positive predictive value of the scale was 96% and identified the cases with micro-perforation and perivesical abbesses among the group with the highest total score.…”
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Diagnostic Utility of Endocan and Interleukins for Late-Onset Neonatal Sepsis by Preslava Gatseva, Alexander Blazhev, Zarko Yordanov, Victoria Atanasova

“…The best sensitivity (78%) and negative predictive value (84%) was found for IL-6. The introduction into routine practice of indicators such as PCT and IL-6 may provide an opportunity to promptly optimize the diagnostic and therapeutic approach to LOS.…”
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Relevance of telemonitoring algorithms for the management of home noninvasive ventilation by Clara Bianquis, Kinan El Husseini, Léa Razakamanantsoa, Adrien Kerfourn, Emeline Fresnel, Jean-Christian Borel, Antoine Cuvelier, Johan Dupuis, Frédéric Gagnadoux, Capucine Morélot-Panzini, Jesus Gonzalez-Bermejo, Jean-François Muir, Arnaud Prigent, Claudio Rabec, Wojciech Trzepizur, Joao Winck, Patrick Brian Murphy, Maxime Patout

“…They had a global sensitivity of 78% (95% CI 37–95%), a specificity of 40% (95% CI 19–78%), a positive predictive value of 72% (95% CI 65–77%) and a negative predictive value of 45% (95% CI 37–51%). …”
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