Diagnostic performances of adding transition and hepatobiliary phase to washout in gadoxetic acid-enhanced MRI for subcentimeter hepatocellular carcinoma by Li Yang, Shengxiang Rao, Kaipu Jin, Lifang Wu, Mengsu Zeng, Ying Ding

“…Assessment Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy with 95% confidence interval were calculated for WO confined to the PVP and WO extended to the TP or HBP, and generalized estimating equation was used to compare sensitivity, specificity, PPV, NPV and accuracy. …”
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Correlation between serum magnesium level and arteriosclerosis in maintenance hemodialysis patients by Dan-yan Min, Ting Shen, Ting Zhang, Jun-jun Zhu, Miao Liu, Qiu-nan Zhan, Jun-li Zhao

“…And serum magnesium level has an excellent predictive value for the occurrence of arteriosclerosis.…”
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Development of a thrombin-antithrombin complex detection kit and study in venous thromboembolism complicated by cervical cancer by Yanru Qiu, Shuang Han, Yu Ji, Zhixian Lu, Xuan Huang

“…Abstract Objective Our study successfully developed an assay kit for thrombin-antithrombin complex (TAT) and demonstrated the predictive value of plasma TAT concentration in the development of venous thromboembolism (VTE) in patients with cervical cancer. …”
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Screening the Global Health Priority Box against Plasmodium berghei liver stage parasites using an inexpensive luciferase detection protocol by Gia-Bao Nguyen, Caitlin A. Cooper, Olivia McWhorter, Ritu Sharma, Anne Elliot, Anthony Ruberto, Rafael Freitas, Ashutosh K. Pathak, Dennis E. Kyle, Steven P. Maher

“…Retrospective analyses show excellent predictive value for both anti-malarial activity and cytotoxicity. …”
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Machine learning-based radiomics for differentiating lung cancer subtypes in brain metastases using CE-T1WI by Xueming Xia, Wei Du, Qiheng Gou

“…The models’ performance was evaluated using receiver operating characteristic (ROC) analysis and area under the curve (AUC) calculations, complemented by additional metrics such as accuracy, specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV).ResultsA total of 833 radiomic features were extracted from the ROIs. …”
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GRACE score in assessing the risk of hospital outcomes in patients with pulmonary embolism by I. S. Mullova, N. A. Cherepanova, T. V. Pavlova, S. M. Khokhlunov, D. A. Gnilomedova, A. A. Leksina, D. V. Duplyakov

“…The GRACE score showed a high predictive value for adverse outcomes in PE patients with a sensitivity of 96% and a specificity of 63%. …”
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Comparison of Specific Immunoglobulin E with the Skin Prick Test in the Diagnosis of House Dust Mites and Cockroach Sensitization in Patients with Asthma and/or Allergic Rhinitis by Suriani Alimuddin, Iris Rengganis, Cleopas M Rumende, Siti Setiati

“…The diagnostic result includes sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-). …”
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Platelet-derived growth factor receptor-β as a non-invasive biomarker for liver fibrosis prediction in Egyptian diabetic patients with metabolic-associated fatty liver disease by Hanaa Badran, Maha Elsabaawy, Mai Magdy, Hazem Omar, Olfat Hendy, Eman Awaad, Maymona Abd El-Wahed Al-Khalifa, Mai Abozeid

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PDGFRβ to predict significant liver fibrosis in diabetic MAFLD patients were 85%, 93.33%, 89.5%, and 90.3%, respectively, at a cutoff > 2.54, and were 85.71%, 51.52%, 27.3%, and 94.4% at a cutoff > 1.59 in nondiabetics. …”
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Targeting genomic receptors in voided urine for confirmation of benign prostatic hyperplasia by Mathew Thakur, Vivek S. Tomar, Emma Dale, Leonard G. Gomella, Charalambos Solomides, Oleksandr Kolesnikov, Scott W. Keith, Hector T. Navarro, Olivia Dahlgren, Michael Chaga, Edouard J. Trabulsi

“…Specificity for VPAC urine assay for excluding prostate cancer in this BPH cohort was 88.5%, positive predictive value 0.00% and negative predictive value 100%. …”
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Preliminary Evaluation of the Scandinavian Guidelines for Initial Management of Minimal, Mild, and Moderate Head Injuries with Glial Fibrillary Acidic Protein by Mira Keski-Pukkila, Justin E. Karr, Jussi P. Posti, Ksenia Berghem, Anna-Kerttu Kotilainen, Kaj Blennow, Henrik Zetterberg, Grant L. Iverson, Teemu M. Luoto

“…Within the Mild (Low Risk) group (n = 49), GFAP sensitivity (with 95% confidence intervals in parentheses) for detecting traumatic CT abnormalities was 1.0 (0.40–1.00), specificity 0.34 (0.19–0.53), the negative predictive value (NPV) 1.0 (0.68–1.00), and the positive predictive value (PPV) 0.16 (0.05–0.37). …”
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Comparative performance of Kato–Katz, POC-CCA and real-time PCR in detecting Schistosoma mansoni infection at different endemicity settings in northwest Ethiopia: a cross-sectional... by Getaneh Alemu, Endalkachew Nibret, Abaineh Munshea, Melaku Anegagrie, María Flores-Chávez, Tadesse Hailu, Arancha Amor

“…Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and kappa statistics were calculated using the Simple Interactive Statistical Analysis (SISA) online tool. …”
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Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm by Alan Priester, Sakina Mohammed Mota, Kyla P. Grunden, Joshua Shubert, Shannon Richardson, Anthony Sisk, Ely R. Felker, James Sayre, Leonard S. Marks, Shyam Natarajan, Wayne G. Brisbane

“…Unfold AI achieved 68% sensitivity, 78% specificity, 71% positive predictive value, and 75% negative predictive value. At the quadrant level, Unfold AI exceeded the AUC of MRI Likert scores for posterior (0.89 versus 0.82, p = 0.003), anterior (0.84 versus 0.80, p = 0.34), and all quadrants (0.89 versus 0.82, p = 0.002). …”
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Exploring the mechanism of rosmarinic acid in the treatment of lung adenocarcinoma based on bioinformatics methods and experimental validation by Chaowang Zhou, Ruqian Zhong, Lei Zhang, Renyi Yang, Yuxin Luo, Huijun Lei, Liang Li, Jianzhong Cao, Zhiying Yuan, Xiaoning Tan, Mengzhou Xie, Haoyu Qu, Zuomei He

“…Then, molecular docking between hub RDEGs and RosA was performed, and further evaluation was carried out by using bioinformatics for the predictive value of the hub RDEGs. Finally, the mechanism of RosA in the treatment of LUAD was verified by establishing a xenograft model of NSCLC in nude mouse. …”
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The role of digital mammography, scintimammography with ^99mTc-methoxyisobutylisonitrile (MIBI) and ultrasound in the diagnosis of multicentric breast cancer by A. V. Chernaya, P. I. Krzhivitskiy, E. A. Busko, P. V. Krivorotko, A. S. Artemyeva, N. S. Popova, V. V. Danilov, V. F. Semiglazov, S. N. Novikov, S. V. Kanaev

“…High (86 %) positive predictive value of SMG advocates it as a tool for surgery and radiotherapy planning.…”
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Clinical value of early assessment of hyperfibrinolysis by rotational thromboelastometry during postpartum hemorrhage for the prediction of severity of bleeding: A multicenter pros... by Marije Tahitu, Paul I. Ramler, Ada Gillissen, Camila Caram‐Deelder, Dacia D. C. A. Henriquez, Moniek P. M. deMaat, Johannes J. Duvekot, Jeroen Eikenboom, Kitty W. M. Bloemenkamp, Thomas van denAkker, Johanna G. van derBom

“…Positive and negative predictive values for this index were 50.0% (95% CI 6.8–93.2) and 79.3% (95% CI 74.9–83.2), respectively. …”
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VALUE OF ANATOMICAL INTRACRANIAL RESERVE IN SURGICAL TREATMENT OF INJURIES AND DISEASES OF THE BRAIN by V. V. Shchedrenok, O. V. Moguchaya, E. G. Potemkina, G. .. Zakhmatov, M. A. Kotov, K. I. Sebelev

“…This method showed a high accuracy (92%) and predictive value (85%) in determination of terms and volume of complex treatment of 140 victims with craniocerebral injury, 120 patients with primary tumors of the brain and 110 patients with acute disorder of cerebral circulation.…”
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Agreement between patient-reported flares and clinically significant flare status in patients with rheumatoid arthritis in sustained remission: data from the ARCTIC REWIND trials by Désirée van der Heijde, Gunnstein Bakland, Åse Lexberg, Lena Bugge Nordberg, Siri Lillegraven, Anna-Birgitte Aga, Joseph Sexton, Till Uhlig, Espen A Haavardsholm, Karen Holten, Daniel H Solomon, Ellen Moholt, Hallvard Fremstad, Hilde Haukeland, Nina Paulshus Sundlisæter, Cristina Spada, Kaja E Kjørholt, Christian A Høili, Tor Magne Madland, Inger Johanne Widding Hansen, Inger Myrnes Hansen, Maud-Kristine Aga Ljoså

“…Sensitivity and specificity were both 91%, positive predictive value of patient-reported flare status 46% and negative predictive value 99%.Conclusion Among patients in sustained remission, patient-reported flare status was accurate in ruling out a clinically significant flare. …”
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A Distributed Model Predictive Control for Multiple Mobile Robots with the Model Uncertainty by Wei Shang, Hanzong Zhu, Yurong Pan, Xiuhong Li, Daode Zhang

“…The control policy is derived by applying the data-driven strategy, and the future predictive value is obtained by employing the linear law in the historical data. …”
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Epicardial Adipose Tissue and Heterogeneity Parameters Combined with Inflammatory Cells to Predict the Value of Heart Failure with Preserved Ejection Fraction Patients Post Myocard... by Yu-jiao Song, Xiao-ying Zhao, Lu-jing Wang, Ting Ning, Ming-tian Chen, Pei Liu, Si-wen Chen, Xin-xiang Zhao

“…Furthermore, we conducted univariate and multivariate Cox regression analyses to determine the predictive value of each parameter for the development of HFpEF in MI patients. …”
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Modern possibilities of the diagnosing of primary hyperparathyroidism by Marina E. Boriskova, Polina A. Pankova, Lina A. Khamid, Mikhail A. Bykov, Daria V. Zuykevich, Kristina V. Valiakhmedova, Zalina M. Ulimbasheva, Karina A. Pogosy0an, Tatiana L. Karonova, Daria V. Ryzhkova

“…Its diagnostic accuracy was 95.5%, sensitivity 90.2%, specificity 97.8%, positive predictive value 94.9%, and negative predictive value 95.7%. …”
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