Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia by Bingxuan Weng, Lixue Huang, Wenshu Jiao, Yuanqi Wang, Mengyuan Wang, Xuefeng Zhong, Xunliang Tong, Jin Jin, Yanming Li

“…The performance of model in predicting both short- and long-term mortality was compared with CURB-65 using AUC, sensitivity, specificity, negative predictive value and positive predictive value. Results A total of 619 patients, with a median age of 78 years (IQR: 70.5–85.0), were included in the analysis. …”
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Serum sFlt-1/PlGF ratio combined with ANXA2 correlates with adverse pregnancy outcomes in women with suspected preeclampsia by YaNuan Chen, LiYing Huang, JingWen Zhang, Ning Guo

“…The combination of the two indicators had a high predictive value for adverse pregnancy outcomes in women with suspected PE (AUC 0.858, 95CI% 0.785–0.931).Conclusion An sFlt-1/PlGF ratio ≥ 85 combined with circulating ANXA2 < 6.13 ng/mL accurately identifies those at high risk for PE-related adverse outcomes, and its early warning efficacy is significantly superior to current single-biomarker strategies. …”
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Application of continuous renal replacement therapy (CRRT) in patients with severe acute pancreatitis: an analytical study by Yiru Weng, Zhouzhou Dong, Gongjie Ye, Linhui Shi, Panpan Liu, Tingting Zhou, Honghua Ye

“…Using logistic regression, we identified CRRT failure predictors, evaluated their predictive value via ROC analysis, and developed/validated a nomogram prediction model. …”
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Association between relative fat mass and risk of gallstones in adults by Jianjun Wang, Wei He, Ruizi Shi, Yu Huang, Chuan Qin, Xi Chen, Xintao Zeng, Yongwei Huang, Decai Wang

“…The results of the ROC curves suggested that the predictive value of RFM for GS prevalence was superior to that of BMI. …”
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Avoidant restrictive food intake disorder (ARFID) in Swedish preschool children: a screening study by Lisa Dinkler, Katarzyna Brimo, Helena Holmäng, Kahoko Yasumitsu-Lovell, Ralf Kuja-Halkola, Anne-Katrin Kantzer, Zerina Omanovic, Narufumi Suganuma, Masamitsu Eitoku, Mikiya Fujieda, Elisabeth Fernell, Per Möllborg, Rachel Bryant-Waugh, Christopher Gillberg, Maria Råstam

“…Results Of the 42 children (6.5%) who screened positive for ARFID, 29 were followed up via diagnostic interview, and 21 received an ARFID diagnosis, yielding a positive predictive value of 72%. Negative predictive value, sensitivity, specificity, and overall accuracy of the ARFID-Brief Screener were 94%, 91%, 79%, and 84%, respectively. …”
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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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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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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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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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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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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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Glutathione peroxidase 4 as a potential biomarker for atrial fibrosis and recurrence of atrial fibrillation by Tong Liu, MD, Dong-tao Zhou, ME, Fang Liu, MD, De-yong Long, MD, Yang Yang, MD, Meng-meng Li, MD, Xin Zhao, MD, Chang-yi Li, MD, Wei Wang, MD, Chen-xi Jiang, MD, Ri-Bo Tang, MD

“…Objective: This study aimed to evaluate the predictive value of GPX4 for AF recurrence after ablation and the relationship between atrial fibrosis and ferroptosis. …”
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Role of functional mapping on Gallium-68 perfusion positron emission tomography and computed tomographic imaging (PET/CT) to assess the risk of long-term radiation-induced lung tox... by François Lucia, David Bourhis, Frédérique Blanc-Béguin, Gaëlle Goasduff, Mohamed Hamya, Simon Hennebicq, Maëlle Mauguen, Romain Floch, Margaux Geier, Ulrike Schick, Maëlys Consigny, Olivier Pradier, Grégoire Le Gal, Pierre-Yves Salaun, Vincent Bourbonne, Pierre-Yves Le Roux

“…Discussion: The predictive value of PET perfusion-based functional parameters outperforms the standard CT-based dose-volume parameters for the risk of grade ≥2 long-term RILT.…”
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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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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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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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