The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

“…The AUC, accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of XGBoost’s internal and external validation were 0.945, 0.932, 0.930, 0.960, 0.970, 0.890 and 0.910, 0.900, 0.860, 1, 1, 0.750. …”
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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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Exploratory Analysis of Concordance Between Clinician-Collected and Self-Sampled Human Papillomavirus Tests in a Small Cohort of Average- and High-Risk Patients by Ashley Wong, Rebecca Morgis, Juliette Entenman, Sarah I. Ramirez, Amy L. Hays, Tonya S. Wright, Christina M. Scartozzi, Mack T. Ruffin, Jennifer L. Moss

“…We assessed hrHPV positivity, concordance, positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity across both methods (for types 16, 18, or other hrHPV). …”
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Chicken Weight Prediction in Close House Farm Using Fuzzy Method by Kharis Suryandaru Pratama, Retantyo Wardoyo

“…The accuracy of the prediction value with the Absolute Percentage Error (MAPE) mean test shows the value of 5,3981%. …”
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Research on traction load forecasting of electrified railway by LIU Fu, LIAO Qishu

“…The comparative experiments carried out on the real operation data of a traction substation on Shuohuang railway verify the advantage of the proposed method, where the point forecasting can obtain the prediction value with an error of about 7%, and the probabilistic forecasting can obtain the reliable prediction interval under different confidence coefficients.…”
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Accuracy of four rapid diagnostic tests (RDTs) for human leptospirosis diagnosis in Indonesia by Farida Handayani, Endah Tri Widanarti, Citra W. Kusuma, Ristiyanto Ristiyanto, Amin Soebandrio, Muhammad Hussein Gasem

“…RDT-2 showed the highest predictive value at 75.9%, while RDT-4 showed the highest negative predictive value at 96.9%. …”
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Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study by Girish N Nadkarni, Orly Efros, Eyal Klang, Shelly Soffer, Gili Kenet, Aya Mudrik, Renana Robinson

“…At a sensitivity threshold of 70%, the model had a specificity of 75.85%, with a positive predictive value of 37.6% and a negative predictive value of 92.41%. …”
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Performance of UF-5000 in rapidly screening out urinary tract infection, predicting Gram-negative bacteria infection by Wei Lu, Zhaoxing Li, Tong Zhang, Yan Li, Huange Zhu, Ya Zhao, Ke Lei, Zhi Guo, Jing Zhang, Juan Guo, Lei Zhang

“…was associated with a specificity of 94.0% and a positive predictive value of 87.2% in the detection of Gram-negative bacteria. …”
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Effects of HALP Score, C-Reactive Protein/Albumin Ratio, and Platelet/Lymphocyte Ratio on Predicting Mortality in Geriatric Patients in the Respiratory Intensive Care Unit by Uluç K, Akkütük Öngel E, Çolakoğlu ŞM, Köylü İlkaya N, Devran Ö, Küçük AO, Kutbay Özçelik H

“…HALP score ≤ 9.94 indicates mortality, with a sensitivity of 67.25%, specificity of 53%, PPV (positive predictive value) of 64.98%, and NPV (negative predictive value) of 55%. …”
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A study on the prediction of targeted therapy efficacy in advanced lung adenocarcinoma patients with EGFR mutations using CT-based delta-radiomics model by Zekai Wu, Zekai Wu, Peiyan Hua, Xiuying Chen, Jie Lei, Laian Zhang, Peng Zhang

“…Performance was assessed via AUC, sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), DeLong’s test, calibration curves, and decision curve analysis.ResultsIn the pre-treatment radiomics model, the AUC, accuracy, sensitivity, specificity, PPV, and NPV of the training cohorts were 0.751, 0.690, 0.737, 0.639, 0.683, and 0.697; in validation cohorts, these values were 0.726, 0.656, 0.778, 0.500, 0.667, and 0.636. …”
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study by Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

“…We conducted a comprehensive performance evaluation using metrics including area under the curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, and F1 ResultsThe final cohort included 1358 CC cases with 6790 matched controls, and 560 RC cases with 2800 matched controls. …”
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Prognostic Significance of Computed Tomography‐Derived Fractional Flow Reserve for Long‐Term Outcomes in Individuals With Coronary Artery Disease by Zhennan Li, Tingfeng Xu, Zhiqiang Wang, Yaodong Ding, Yang Zhang, Li Lin, Minxian Wang, Lei Xu, Yong Zeng

“…Background Data on the predictive value of coronary computed tomography angiography–derived fractional flow reserve (CT‐FFR) for long‐term outcomes are limited. …”
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Biochemical, sex hormonal, and anthropometric predictors of non-alcoholic fatty liver disease in polycystic ovary syndrome by Xintong Li, Min Min, Fangfang Duan, Xiangyan Ruan, Li Xu

“…The receiver operating characteristic curve, area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predictive value were used to determine cut-off values and evaluate diagnostic accuracy. …”
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Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–... by Bingtian Dong, Yuping Chen, Xiaocen Yang, Zhengdong Chen, Hua Zhang, Yuan Gao, Enfa Zhao, Chaoxue Zhang

“…Seven machine learning models were utilized to assess the predictive value of the eGDR index for CVD events. To assess the model’s performance, we applied receiver operating characteristic (ROC) and precision-recall (PR) curves, calibration curves, and decision curve analysis. …”
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Real-World Analysis of Clinical Characteristics, Treatment Outcomes, and the Novel Predictive Model for Patients with Thrombotic Thrombocytopenic Purpura (TTP) and TTP-Like Syndrom... by Lv M, Hu X, Zhu L, Xu H, Chen E, Zhao N, Tong J, Zheng C

“…The performance of this new model was compared with the traditional PLASMIC score by evaluating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).Results: Thirty-five patients were diagnosed with TTP and 42 were diagnosed with TTP-like syndrome. …”
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Clinical Application of SARS-CoV-2 IgM and IgG Antibody Detection Using the Colloidal Gold Immunochromatography Assay by Lipeng Liu, Kangping Zhou, Yan Xing, Wei Luo, Bing Pei, Junqiang Xu, Lei Yi, Honglei Wang, Juan Wang, Wei Zhang, Fei Yu, Kun Cai, Peng Liu

“…The clinical diagnostic results were used as controls to evaluate the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), kappa, and 95% confidence interval (CI) of the rapid tests. …”
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Expression of Insulin-like growth factor 2 mRNA-binding protein 3 and its diagnostic value in breast cancer by Chao-Qun Wang, Jun-Kang Shao, Yan Wang, Shi-Ping Lu, Li-Jing Jiang, Zhi-Qun Du, Bi-Fei Huang

“…The results showed that the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of IGF2BP3 positive prediction for breast cancer were 11.4%, 100.0%, 100.0%, and 18.5%, respectively; and for TNBC, the corresponding values for IGF2BP3 positive prediction were 38.0%, 98.2%, 88.2%, and 81.5%, respectively. …”
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Comparative study of Bupivacaine with magnesium sulfate versus bupivacaine with dexmedetomidine in peripheral nerve stimulator-guided transversus abdominis plane block for post-ope... by Himanshu Sharma, Roopesh Kumar, Ashok Mittal, Mahesh Verma

“…The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of combined BRAF ICC with RT-PCR was 96.8%, 100%, 100%, 90%, and 97.5%, respectively, on cellblock in malignant thyroid lesions. …”
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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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Directions for Improving the Laboratory Component in Secondary Prevention of Cervical Cancer by O. B. Kuleshova, E. A. Domonova, G. N. Minkina, T. N. Romanuk, A. N. Gerasimov, E. M. Voronin, V. G. Akimkin

“…HSIL is more commonly associated with viruses of alpha-9 phylogenetic group, than with alpha-7 and alpha-5/6. The positive predictive value for HSIL+ is reduced depending on the HPV type: 16>33>58>35>45>31>18>52>39>59>58>56>68>66. …”
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