The value of ultrasonographic scoring method and nomogram in assessing cervical lymph node metastasis of papillary thyroid carcinoma by Liping Chen, Yan Chen, Zhengming Hu, Huali Cai, Xiaona Lin, Jieyu Zhong, Desheng Sun

“…A score of 3 or higher had a diagnostic sensitivity for CLNM of 81.1%, specificity of 85.2%, positive predictive value (PPV) of 83.1%, negative predictive value (NPV) of 83.4%, and Kappa value of 0.664. …”
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Extended sample size calculations for evaluation of prediction models using a threshold for classification by Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S. Collins, Paula Dhiman, Alastair Denniston, Joseph Alderman, Amardeep Legha, Maarten van Smeden, Karel G. Moons, Jean-Baptiste Cazier, Richard D. Riley, Kym I. E Snell

“…We have reported closed-form solutions to estimate the sample size required to target sufficiently precise estimates of accuracy, specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), and an iterative method to estimate the sample size required to target a sufficiently precise estimate of the F1-score, in an external evaluation study of a prediction model with a binary outcome. …”
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Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models by Minfang Wang, Wanjun Chen, Ruiping Ren, Yuanwei Lin, Jiawen Tang, Meng Wu

“…BackgroundPeritumoral characteristics demonstrate significant predictive value for neoadjuvant chemotherapy (NAC) response in breast cancer (BC) through tumor-stromal interactions. …”
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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants by Jina Lee, Jong Seung Lee, Seak Hee Oh, Jun Sung Park, Reenar Yoo, Soo-young Lim, Dahyun Kim, Min Kyo Chun, Jeeho Han, Jeong-Yong Lee, Seung Jun Choi

“…In validation, both models demonstrated superior specificity (82.3–87.0% vs 46.2–72.2%) and positive predictive value (61.5–68.5% vs 34.4–49.8%) compared with traditional rule-based models, while maintaining perfect sensitivity and negative predictive value (both 100% vs 81.7–100% and 92.0–100%, respectively) without any false negatives. …”
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CO22 | Assessment of coagulation profiles in septic patients using viscoelastic coagulation monitoring and rotational thromboelastometry in an internal medicine setting

“…With a new MCF cut-off of 40.5 mm (Table 1b), VCM-MCF showed good predictive value for hypercoagulability (AUC 0.8, sensitivity 76.5%, specificity 75%). …”
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Noninvasive assessment of the presence and size of esophageal varices by Petrović Gordana, Nagorni Aleksandar, Bjelaković Goran, Benedeto-Stojanov Daniela, Radovanović-Dinić Biljana

“…Based on the receiver operating characteristic (ROC) curve for the PC/SD ratio, the cutoff value of the test was obtained at 907 (907.11), with a negative predictive value of 76.4% for large EVs. Conclusion. The cutoff value of PC/SD ratio < 907 has a predictive value for the occurrence of large EVs.…”
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Cervical Cancer Screening Using Liquid-based Cytology and its Histopathological Correlation by C Sunitha, Aditi Sangwan, Shivani Sangwan, Pranjali Dhume, Sinam T Meetei, Arpitha Pemmaraju

“…The Pap smear had a sensitivity of 63.63%, specificity of 78.26%, positive predictive value (PPV) of 58.33%, negative predictive value (NPV) of 81.81%, and diagnostic accuracy of 73.52% in diagnosing LSIL. …”
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Inadequacy of coronary calcium scoring in evaluating coronary artery disease: A call to shifting to high-resolution CT coronary imaging by Jonathan Mokhtar, Mohammad Albaree, Virginia Battistin, Mohamed Asbaita, Fatemeh Akbarpoor, Jeyaseelan Lakshmanan, Hassan El-Tamimi

“…The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CAC against ICA were all calculated using R version 4.4.0. …”
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Natural killer cell as a potential predictive biomarker for early immune checkpoint inhibitor-associated cardiovascular adverse events: a retrospective cohort study by Yujuan Wu, Diansa Gao, Li Tan, Zhulu Chen, Chuan Zhang, Min Mao, Yuxi Zhu, Yuxi Zhu, Yuxi Zhu, Yue Liu, Zhong Zuo

“…This study aimed to assess the predictive value of peripheral immune cells in early ICI-associated CVAEs.MethodsSingle-cell RNA sequencing (scRNA-seq) dataset from the Gene Expression Omnibus database was used to explore immune cell changes associated with ICI-associated CVAEs. …”
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Application of Thyroid Hormones in Women’s Hair for the Non-Invasive Prediction of Graves’ Disease by Kouhei Igarashi, Chie Takita, Masako Matsumoto, Wataru Kitagawa, Atsuko Ota, Naoko Miyazaki, Koichi Ito, Kazutaka Ikeda

“…The cut-off value was 0.133 pg/mg (sensitivity: 91.2%; specificity: 100%; positive predictive value (PPV): 100%; negative predictive value (NPV): 76.9%) for FT3 and 0.067 pg/mg (sensitivity: 70.6%; specificity: 100%; PPV: 100%; NPV: 50.0%) for FT4. …”
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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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Analysis of the effect of fecal SDC2, ADHFE1 and PPP2R5C gene methylation test for screening colorectal cancer in the Otog Front Banner by Fan Zeng, Shiiu Chen, Xuli Zhu, Jinrun Chen, Maochong Lan, Runxiang Chen, Daya Zhang, Chen Chen, Shimei Huang, Da Li, Xiaodong Zhang, Feihu Bai

“…The chi-square test was utilized to analyze the positive rates of fecal SDC2, ADHFE1, and PPP2R5C gene methylation screenings, colonoscopy compliance, the positive predictive value of intestinal lesions, and to assess the risk factors associated with cancer. …”
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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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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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Tumor microenvironment parameters as a predictor of the duration of clinical effectiveness of immunotargeted therapy in advanced or metastatic endometrial cancer: A pilot multicent... by A. A. Maltseva, A. Yu. Kalinchuk, N. V. Krakhmal, N. M. Chernorubashkina, E. S. Martynova, R. A. Zukov, A. A. Gofman, A. B. Villert, O. N. Churuksaeva, L. A. Kolomiets, L. A. Tashireva

“…However, the CD8+/CD20+ lymphocyte ratio had the greatest predictive value; a value below 3.219 was associated with long clinical efficacy in patients with advanced or metastatic EC.Conclusion. …”
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Validation of the EVendo score for assessing high-risk varices in Western European patients with cirrhosis by Julian Müller-Kühnle, Christian Benignus, Severin Schricker, Moritz Schanz, Julia Todoroff, Jörg Latus, Wolfram Zoller, Dominik Marschner

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed for EVendo score cutoffs of ≤ 3.9, ≤ 4.5, and a cohort-optimized cutoff of ≤ 4.3. …”
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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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THE PROGNOSTIC VALUE OF BASELINE PSA BLOOD IN THE TREATMENT OF PROSTATE CANCER by A. A. Gritskevich, V. L. Medvedev, S. V. Mishugin, N. A. Apolskaya, I. G. Rusakov

“…Using the  initial PSA level and  Gleason  score  improves  the  predictive  value significantly. This article presents the  results  of a retrospective analysis of 307 patients completed the treatment of  PC. …”
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