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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TRICKS Magnetic Resonance Angiography at 3-Tesla for Assessing Whole Lower Extremity Vascular Tree in Patients with High-Grade Critical Limb Ischemia: DSA and TASC II Guidelines Co... by Sheung-Fat Ko, Jiunn-Jye Sheu, Chen-Chang Lee, Chung-Cheng Huang, Fan-Yen Lee, Shu-Hang Ng, Yi-Wei Lee, Hon-Kan Yip, Min-Chi Chen

“…T-MRA harbored overall high sensitivity (99.5%), specificity (93.6%), positive predictive value (95.4%), negative predictive value (99.6%), and accuracy (97.7%) in depicting significant stenosis. …”
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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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Correlation between insulin-like growth factor 1 levels and tacrolimus dose in pediatric liver recipients by R. M. Kurabekova, O. M. Tsirulnikova, O. E. Gichkun, G. A. Olefirenko, I. E. Pashkova, A. A. Belchenkov, O. P. Shevchenko

“…The estimated accuracy of the test was 83%, positive predictive value was 71%, and negative predictive value was 85%.Conclusion. …”
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Vestibular function tests are helpful in differentiating between Menière’s disease and vestibular migraine by Eleonora G. M. Vosbeek, Eleonora G. M. Vosbeek, Meinie Seelen, Aliede M. Vingerhoed, Tjard R. Schermer, Tjard R. Schermer, Suzanne C. Cannegieter, Suzanne C. Cannegieter, Gisela M. Terwindt, Tjasse D. Bruintjes, Tjasse D. Bruintjes

“…We collected demographic characteristics, symptoms at presentation, results of pure-tone audiometry (PTA), caloric testing, and vHIT. Positive predictive value (PPV) and negative predictive value (NPV) of the vHIT and caloric test were calculated and the optimal unilateral weakness cut-off value was determined.ResultsThe mean age of the MD patients (n = 194) was 60.2 ± 13.4 years, with 46.4% females. …”
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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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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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Synovial pH, lactate, and glucose as adjunct biomarkers to exclude periprosthetic joint infection in hip and knee arthroplasty: a prospective study by D. Müller, J. Aulenbacher, N. Heine, B. Schloßmacher, V. Lallinger, G. Matziolis, R. von Eisenhart-Rothe, I. Lazic

“…The combined use of all three biomarkers yielded a negative predictive value of 84 % for the diagnosis of PJI. <strong>Conclusion</strong>: Synovial pH, lactate, and glucose may serve as valuable adjunct parameters in the diagnosis of PJI with a high negative predictive value.…”
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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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Genetic Predisposition to Sporadic Cancer: How to Handle Major Effects of Minor Genes? by Remond J. A. Fijneman

“…As a consequence, although allelic variation in one TSG on a permissive genetic Background can have major effects on tumor development, the net effect of allelic variation in multiple interacting TSGs remains hard to predict. Therefore, the predictive value of SNP-analysis to estimate an individuals cancer risk will be restricted to those TSGs that exhibit single-gene effects. …”
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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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ERCC1 as a Marker of Ovarian Cancer Resistance to Platinum Drugs by T. A. Bogush, A. S. Popova, E. A. Dudko, E. A. Bogush, A. S. Tyulyandina, S. A. Tyulyandin, M. I. Davydov

“…Data on the prognostic and predictive value of ERCC1 as a marker of the response to platinum-based therapy in ovarian cancer are systematized. …”
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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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Improving  the  Financial  Reporting of  Organizations  in the Digital Economy by T. Yu. Druzhilovskaya, E. S. Druzhilovskaya

“…The article analyzes the problem of the relationship between the development of the digital economy and ensuring the qualitative characteristics of financial statements, such as relevance, predictive value, confirming value, materiality, fair representation, completeness, neutrality, comparability, verifiability, timeliness, clarity and being error-free. …”
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