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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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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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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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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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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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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Diagnostic utility of auramine O smear microscopy for detecting non-tuberculous mycobacteria versus Mycobacterium tuberculosis complex in adult clinical samples: a 5-year retrospec... by Nadia Atiya, Leong Tung Ong, Thian Chee Loh, Chee Kuan Wong, Azwani Abdullah

“…Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) with 95% confidence intervals (CI) were calculated using Open Epi Version 3.01. …”
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The validity of a new resilience scale: the Japan Resilience Scale (J-RS) for mothers with a focus on cultural aspects by Mariko Takeuchi, Michiko Matsunaga, Akimitsu Miyake, Ryuichiro Egashira, Sayaka Hotta, Mai Nakano, Misaki Moriguchi, Fumihiko Yasuno, Masako Myowa, Keisuke Hagihara

“…At a cutoff of 59/60, sensitivity, specificity, positive predictive value, and negative predictive value were 84.1%, 63.9%, 34.6%, and 94.7% respectively. …”
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Evaluating the diagnostic performance of adult sepsis event criteria in the emergency department: impact of including isolated serum lactate elevations by Hyojun Park, Ryoung-Eun Ko, Hyo-Seok Oh, Jae Young Moon, Youjin Chang, Gee Young Suh

“…Diagnostic performance was assessed using sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). …”
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Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model by Ding-ming Song, Kun Feng, Wen-fei Luo, Dong-shan Lv, Li-po Zhou, Yi-bo He, Yanyang Jin

“…Nomogram variables, prompted from ARGM and clinical parameters, also generate a high predictive value for patient survival. Conclusion Ourestablished apoptosis-related gene model (ARGM) has a substantial predictive value for prognosis and immunotherapy of bladder cancer. …”
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Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancerCentral MessagePerspective by Yogita S. Patel, BSc, Anthony A. Gatti, PhD, Forough Farrokhyar, MPhil, PhD, Feng Xie, PhD, Waël C. Hanna, MDCM, MBA

“…NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883). …”
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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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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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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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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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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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