AI-based staging, causal hypothesis and progression of subjects at risk of Alzheimer’s disease: a multicenter study by Simona Aresta, Raffaello Nemni, Moreno Zanardo, Graziella Sirabian, Dario Capelli, Marco Alì, Paolo Vitali, Paolo Vitali, Enrico Giuseppe Bertoldo, Valentina Fiolo, Lilla Bonanno, Giuseppa Maresca, Petronilla Battista, Francesco Sardanelli, Francesco Sardanelli, Francesca Benedetta Pizzini, Isabella Castiglioni, Christian Salvatore, Christian Salvatore

“…For the three-class classification of causal hypotheses (n = 112), the AI performance vs. biomarker-based diagnosis was: positive predictive value 91% [95% CI: 84–96%]; negative predictive value 100%, and accuracy 91% [84–96%]. …”
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The contributions of brain structural and functional variance in predicting age, sex and treatment by Ning-Xuan Chen, Gui Fu, Xiao Chen, Le Li, Michael P. Milham, Su Lui, Chao-Gan Yan

“…We found that voxel-based structural indices had stronger predictive value for age and sex, while voxel-based functional metrics showed stronger predictive value for treatment. …”
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Diagnostic performance of ultrasound S-Detect technology in evaluating BI-RADS-4 breast nodules ≤ 20 mm and > 20 mm by Boyuan Xing, Chen Gu, Chenghui Fu, Bingyi Zhang, Yandi Tan

“…Using pathology results as the gold standard, we applied receiver operator characteristics (ROC), sensitivity (SE), specificity (SP), accuracy (ACC), positive predictive value (PPV), and negative predictive value (NPV) to analyze the diagnostic value of BI-RADS, S-Detect, and the two techniques in combination (Co-Detect) in the diagnosis of BI-RADS 4 breast nodules ≤ 20 mm and > 20 mm. …”
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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

“…Model performance was evaluated using accuracy, balanced accuracy, Brier score, detection prevalence, F1-score, Jaccard index, κ coefficient, Matthews correlation coefficient, negative predictive value, positive predictive value, precision, recall, area under the receiver operating characteristic curve (ROC-AUC), precision-recall AUC, and decision curve analysis. …”
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Diagnostic Efficacy of Cervical Elastography in Predicting Spontaneous Preterm Birth in Pregnancies with Threatened Preterm Labor by Hayan Kwon, Ji-Hee Sung, Hyun Soo Park, Ja-Young Kwon, Yun Ji Jung, Hyun-Joo Seol, Hyun Mi Kim, Won Joon Seong, Han Sung Hwang, Soo-Young Oh, on behalf of The Korean Consortium for the Study of Cervical Elastography in Prediction of Preterm Delivery

“…This study aimed to determine the predictive value of cervical elastography for preterm delivery before 37 weeks of gestation in patients with threatened PTL and a cervical length greater than 15 mm. …”
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Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3–5: a multicentre study using the machine learning approach by Usman Iqbal, Tzu-Hao Chang, Chu-Lin Chou, Mai-Szu Wu, Yung-Ho Hsu, Chih-Wei Huang, Anh Trung Hoang, Phung-Anh Nguyen, Thanh Phuc Phan, Gia Tuyen Do, Huu Dung Nguyen, I-Jen Chiu, Yu-Chen Ko, Chia-Te Liao

“…Model evaluation metrics, including area under the curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value and F1 score, were employed.Results A total of 6123 and 5279 patients were included for 1 year and 3 years of the model development. …”
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Does the Decrease in Neutrophil-lymphocyte Ratio after BCG Treatment Be a Prognostic Marker for NMIBC? by Aykut Başer

“…We aimed to determine the predictive value of the neutrophil-lymphocyte ratio (NLR) for recurrence and/or progression of the disease.Materials and Methods:Seventy patients with high-risk NMIBC according to the European Organization for Research and Treatment of Cancer (EORTC) risk classification who were receiving Bacillus Calmette-Guerin (BCG) treatment and were followed up at our clinic were included in the study.Results:The average score level and NLR values differed significantly on patient classification according to the EORTC Progression and Recurrence Risk score. …”
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Don’t go chasing waterfalls: Multiple factor prediction of injuries in a performance context by Melanie I. Stuckey, Dean Kriellaars

“…Injury surveillance informs risk management strategies for athletes and performing artists yet the predictive value of multiple factors is understudied. This study analyzed demographic, sleep, fatigue, body composition, symmetry/proportionality, and psychological data from a cohort of circus arts students to predict injury presence and duration using regression models. …”
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The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin by Jiatong Xie, Qirong Qin, Cunhui Fan, Dongfeng Hu, Hu Li

“…Compared the fracture density predictive value and the observed value of 15 wells, all wells relative error less than 25%. …”
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Scoring Systems to Predict Survival or Neurological Recovery after Out-of-hospital Cardiac Arrest by Rishi Naik, Indrajeet Mandal, Diana A Gorog

“…NULL-PLEASE and CAST are recommended as the best scores to predict mortality and neurological outcome, respectively, due to the extent of external validation, ease of use and high predictive value of the variables. Whether use of these scores can lead to more cost-effective service delivery remains unclear.…”
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Metabolomic and genomic prediction of common diseases in 700,217 participants in three national biobanks by Nightingale Health Biobank Collaborative Group

“…Lastly, we assessed the incremental predictive value of metabolomic scores over existing clinical risk scores for multiple diseases and found modest improvements in discrimination for several diseases whose clinical utility, while promising, remains to be determined.…”
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ВОЗМОЖНОСТИ РАННЕЙ ДИАГНОСТИКИ ОСТРОГО ИНФАРКТА МИОКАРДА С ПОМОЩЬЮ БЕЛКА, СВЯЗЫВАЮЩЕГО ЖИРНЫЕ КИСЛОТЫ. РОССИЙСКОЕ МНОГОЦЕНТРОВОЕ ИССЛЕДОВАНИЕ ИСПОЛИН... by А. И. Мартынов, М. И. Воевода, Г. П. Арутюнов, В. А. Кокорин, А. А. Спасский, А. А. Михайлов

“…On results of the multicentre study ISPOLIN, which included 1049 patients in 17 cities of the Russian Federation, the new domestic express-test for the qualitative determination of cardiac fatty acid binding protein, has more sensitivity, accuracy and predictive value compared with the test of the troponin I in the first 12 h of AMI and can be recommended for wide application in practice.…”
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Early Neonatal Mortality (< 24 h) in Ecuador: A Population-Based Study on the Impact of Apgar Score, Gestational Age, Birth Weight, Delivery Type, and Healthcare Level by Iván Dueñas-Espín, María Alejandra Montaluisa, Andrea Aguilar-Molina, Fernando Aguinaga, Luciana Armijos-Acurio, Ruth Jimbo-Sotomayor, Ángela León Cáceres, María F. Rivadeneira, Silvana Rivera-Guerra, Xavier Sánchez, Betzabé Tello

“…These findings underscore the importance of Apgar evaluation in neonates and suggest a predictive value of the score for early neonatal mortality.…”
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Relative importance of temporal and location features in predicting smoking events by Han Yang, Hang Yu, Michael Kotlyar, Sheena R. Dufresne, Serguei V. S. Pakhomov

“…This study examined the predictive value of temporal and spatial features available from smartphones. …”
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Proinflammatory Cytokines in Pneumonias of Various Genesis by A. M. Golubev, T. V. Smelaya, V. V. Moroz, M. A. Golubev, Ye. P., Veligan, L. A. Marsova, M. V. Sharshavykh, N. M. Lazareva

“…Measurement of proinflammatory cytokines in critically ill patients with pneumonia is of diagnostic and predictive value. Key words: pneumonia, cytokines.…”
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Aggregate index of systemic inflammation as a novel prognostic biomarker in Chinese patients with acute decompensated heart failure: a population-based real-world study by Lin Hu, Yangjie Deng, Chuanjin Liu, Yinghao Kuang, Xinfang Huang, Jinyan Zhang, Wanfen Huang, Yafei Jian, Guobo Xie, Yang Zou, Shuhua Zhang

“…Moreover, in predicting 30-day mortality among ADHF patients, the AISI demonstrated significantly superior predictive value compared to white blood cell count, neutrophil count, monocyte count, and lymphocyte count (Area under the curve=0.77; all DeLong tests P &lt;0.05), with an optimal threshold of 925.44.DiscussionThis population-based retrospective cohort study demonstrated the predictive value of AISI for short-term outcomes in Chinese ADHF patients. …”
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Association Between Neutrophil Percentage to-Albumin Ratio, Neutrophil to-Lymphocyte Ratio, Platelet-to Lymphocyte Ratio and in-Hospital Mortality in Elder Patients with Bloodstrea... by Yu Z, Liu C, Gong M, Zhang P, Pei C, Liu X, Han X, Zhu P, Xu G, Du Y

“…This study aimed to investigate the association and the predictive value of NPAR, NLR and PLR with in-hospital mortality.Methods: This study included older patients with BSI who were hospitalized in a large healthcare center in Beijing from December 2011 to January 2024. …”
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Assessment of Circulating Tumor Cells in Colorectal Cancer as an Adjunctive Non-invasive Diagnostic Method by Saskia Aziza Nursyirwan, Murdani Abdullah, Andri Sanityoso Sulaiman, Ikhwan Rinaldi, Dadang Makmun, Marcellus Simadibrata, Dimas Ramadhian Noor, Agustinus Wiraatmadja, Wifanto Saditya Jeo, Nur Rahadiani, Diah Rini Handjari, Hamzah Shatri

“…The diagnostic analysis of CTC for detecting CRC (compared to polyps) using a CTC cutoff point of >1.5 cells/mL suggested sensitivity, specificity, and positive predictive value (PPV) of 50%, 88.89%, and 93.94%. Additionally, the negative predictive value (NPV), as well as the positive and negative likelihood ratio (PLR and NLR) were 34.04%, 4.5, and 0.56, respectively. …”
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Utility of photoacoustic patterns in intra-operative margin assessment of breast cancer post neoadjuvant chemotherapy by Yonggeng Goh, Ghayathri Balasundaram, Hui Min Tan, Thomas Choudary Putti, Renzhe Bi, Mikael Hartman, Shaik Ahmad Buhari, Celene Wei Qi Ng, Su Ann Lui, Serene Si Ning Goh, Wei Qi Leong, Eric Fang, Swee Tian Quek, Malini Olivo

“…Results: US-PA imaging demonstrated a high diagnostic accuracy of 89.0 %, with a sensitivity and negative predictive value (NPV) of 100 %, specificity of 86.9 %, and positive predictive value (PPV) of 59.4 %. …”
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The role of ultrasound-guided tru-cut biopsy in ovarian cancer: a systematic review of its safety, adequacy, and accuracy with meta-analysis of diagnostic performance by Munachiso Iheme Ndukwe, Matteo Pavone, Dominik Habes, Nicolo Bizzarri, Martin Stepan, Petra Bretová, Floriana Mascilini, Dominik Karasek, Denisa Pohankova, Akaninyene Ubom, Jana Marie Havigerova, Jiri Haviger, Igor Sirak

“…Diagnostic accuracy was assessed in 13 studies, revealing a mean diagnostic accuracy of 95.54% (95% CI: 93.19– 97.89%) and a median of 97.48%.In the meta-analysis of 10 studies, pooled sensitivity was 98.6%, specificity 41.9%, positive predictive value (PPV) 99.0%, and negative predictive value (NPV) 47.2%, with high heterogeneity observed in specificity and NPV estimates. …”
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