Is screw position a greater contributor to adjacent segment disease than plate-to-disc distance following anterior cervical discectomy and fusion? by Feng Wang, Jiawei Lu, Bijun Wang, Ziqi Zhu, Beiduo Shen, Kai Guo, Zhaoyu Ba, Yufeng Huang, Desheng Wu

“…Additionally, we evaluated the predictive value of SPS for RASD using ROC curves. To further investigate the relationship between screw position and RASD, we reanalyzed the data of patients with PDD of less than 5 mm to eliminate the effect of PDD. …”
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MRI based paraspinal muscle mass predicts early cage subsidence after posterior lumbar interbody fusion by Zijian Yang, Jie Liang, Dawei Shi, Can Tuo, Yu Wu, Fan Zhang

“…This study aimed to evaluate the predictive value of PMI and GC for CS after PLIF and compare their performance with other established imaging and bone quality markers. …”
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Anticardiac antibodies in patients with severe and moderate COVID-19 (correlations with the clinical performance and prognosis) by O. V. Blagova, N. V. Varionchik, V. A. Zaydenov, P. O. Savina, N. D. Sarkisova

“…The level of anti-cardiomyocyte antibodies and ASMA correlated with mortality (r=0,363, and r=0,426, p<0,05) and had a predictive value. Mortality in patients with cardiovascular disease was 17,9%, without — 2,2% (p<0,05). …”
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Chronic Heart Failure in Early Rheumatoid Arthritis Patients Prior to Basic Antirheumatic Therapy by I. G. Kirillova, D. S. Novikova, T. V. Popkova, H. V. Udachkina, E. I. Markelova, Yu. N. Gorbunova, Yu. O. Korsakova, S. N. Gluchova

“…NYHA class I was found in 5 (21%) patients, class II – in 15 (63%), class III – in 1 (4%). Positive predictive value of clinical symptoms did not exceed 38%. …”
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Construction of a column-line graphical model of poor outcome of neoadjuvant regimens for muscle-invasive bladder cancer based on NLR, dNLR and SII indicators by Bo Hu, Longsheng Wang, Shanna Qu, Tao Zhang

“…Clinical data of both groups were compared, related factors affecting the poor outcome after neoadjuvant therapy for MIBC were analyzed by Logistic regression, ensued with analysis of predictive value of poor prognosis by construction of a columnar graph model based on the NLR, dNLR and SII indexes. …”
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Vitamin D as a Key Mediator Between C-reactive Protein to Albumin Ratio and Congestive Heart Failure in an Elderly Population: An Innovative Exploration Using the NHANES Database by Yufeng Wei, Zhaofeng Zhang

“…Mediation effect: 25(OH)D partially mediated the CAR-CHF association, explaining 3.00% of the total effect (indirect effect: 0.002, 95% CI: 0.001–0.005, p = 0.039). Predictive value: CAR had modest accuracy for CHF (area under the curve (AUC) = 0.597, 95% CI: 0.560–0.634), with an optimal cut-off of 0.149 (sensitivity: 59.1%, specificity: 56.4%). …”
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Prognostic role of epidermal growth factor receptors’ expression in patients with i-ii stage of non-small cell lung cancer by A.P. Kolesnik, A.I. Shevchenko, V.A. Tumansky, A.V. Evseev, M.A. Shishkin

“…Prognostic value of other factors, including the expression of growth factors receptors, is not clinically significant, although the borderline predictive value of EGFR expression is noted. Conclusions: Therefore, considering the results of studies carried out in our clinic and the literature data, insufficient knowledge of epidermal growth factor receptors expression in patients with lung cancer is obvious. …”
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DDAH1 Promotes Cisplatin Chemoresistance in Patients with Locally Advanced Nasopharyngeal Carcinoma via the EGFR‐JAK2‐STAT3 Pathway by Jin‐Hao Yang, Li Yuan, Qiu‐Yan Chen, Kai‐Qi Lan, Liang‐Ji Li, Yu‐Chen Li, Xiao‐Yun Li, Xue‐Song Sun, Lin‐Quan Tang, Sai‐Lan Liu, Hai‐Qiang Mai

“…To explore the regulatory mechanism and biological function of DDAH1 in cisplatin chemoresistance, NPC cell lines are subjected to overexpression and knockdown of DDAH1 in vitro, with findings further corroborated by in vivo chemosensitivity assays. The predictive value of DDAH1 expression is evaluated for survival and resistance to cisplatin‐based IC in a cohort of 339 patients with LANPC. …”
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Targeting AKR1B1 inhibits metabolic reprogramming to reverse systemic therapy resistance in hepatocellular carcinoma by Qi Wang, Juan Liu, Ming Yang, Jun Zhou, Yaxuan Li, Jingjing Zheng, Hao Jia, Shuhua Yue, Yinpeng Le, Yuxin Su, Wenrui Ma, Ni An, Yunfang Wang, Jiahong Dong

“…The secretory nature of AKR1B1 not only underscores its predictive value but also facilitates the intercellular transmission of drug resistance. …”
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Identification of a risk model for prognostic and therapeutic prediction in bladder urothelial carcinoma based on infiltrating CD8+ T cells by Ligang Ma, Ruixin Li, Junjie Su, Qiong Cao, Haojie Wang, Zhihao Wei, Chengliang Wang, Chengdong Zhang, Guanyu Li, Wang Qin, Zheng Zhang, Chu Wang, Yingao Zhu, Jingjing Zhao, Shiyong Xin, Jun Ma

“…Then ROC curve was drawn to demonstrate the risk model had high prognosis predictive value in BLCA. Results: Our correlation analysis revealed that riskscore was negatively associated with several steps of the tumor immune cycle. …”
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Intraoperative change in distal motor latency as a predictor for clinical outcome after mini-OCTR: a retrospective cohort study by Mingjie Zhou, Mingjie Zhou, Mingjie Zhou, Mingjie Zhou, Mingjie Zhou, Mingjie Zhou, Chuxiang Chen, Chuxiang Chen, Chuxiang Chen, Chuxiang Chen, Chuxiang Chen, Chuxiang Chen, Chenpei Xu, Chenpei Xu, Chenpei Xu, Chenpei Xu, Chenpei Xu, Chenpei Xu, Biao Yan, Philippe Liverneaux, Philippe Liverneaux, Su Jiang, Su Jiang, Su Jiang, Su Jiang, Su Jiang, Su Jiang, Su Jiang

“…Multivariate and simple logistic regression analyses were used to quantify the predictive value of LRP on postoperative outcomes.ResultsThe results of patient-reported outcome measures (PROMs) demonstrated that Mini-OCTR was an effective procedure in treating CTS generally with some of the patients experiencing significant improvement in sensory function at 1 day Post-op. …”
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Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant by Jacopo Burrello, Stefano Panella, Ilaria Barison, Chiara Castellani, Alessio Burrello, Lorenzo Airale, Jessica Goi, Veronica Dusi, Roberto Frigerio, Gino Gerosa, Chiara Tessari, Nicola Pradegan, Giuseppe Toscano, Giovanni Pedrazzini, Mattia Corianò, Francesco Tona, Sara Bolis, Alessandro Gori, Marina Cretich, Marny Fedrigo, Annalisa Angelini, Lucio Barile

“…The AI model achieves an accuracy of 93.3% at leave-one-out testing (AUC 0.968), and 78.9% at validation in an independent cohort (AUC 0.832), with high specificity and negative predictive value. EV profiling outperforms conventional biochemical markers and provides anticipatory insight into rejection dynamics. …”
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Audio and linguistic prediction of objective and subjective cognition in older adults: what is the role of different prompts? by Varsha D. Badal, Varsha D. Badal, Caitlyn Tran, Haze Brown, Danielle K. Glorioso, Danielle K. Glorioso, Rebecca Daly, Rebecca Daly, Anthony J. A. Molina, Anthony J. A. Molina, Alison A. Moore, Alison A. Moore, Erhan Bilal, Ellen E. Lee, Ellen E. Lee, Ellen E. Lee, Colin A. Depp, Colin A. Depp, Colin A. Depp

“…However, there are gaps in understanding the predictive value of different prompts (e.g., open ended or structured) and the relationship of features to subjective versus objective cognition.ObjectiveTo advance understanding of method variation in speech-analysis based psychometry, we evaluated targeted prompts for classification of impaired cognition and cognitive complaints.MethodA sample of 49 older participants (mean age: 76.9, SD: 8.5) completed short interview questions and cognitive assessments. …”
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Prognostic significance of severe mitral annular calcification in aortic stenosis: implications for aortic valve replacement outcome by Valeria Pergola, Dan-Alexandru Cozac, Maria Teresa Savo, Saima Mushtaq, Raffaella Motta, Roberto Pedrinelli, Pasquale Perrone-Filardi, Gianfranco Sinagra, Morena De Amicis, Maria Vittoria Chiaruttini, Gabriele Cordoni, Giulia Lorenzoni, Giuseppe Tarantini, Gino Gerosa, Dario Gregori, Giorgio De Conti, Domenico Corrado, Gianluca Pontone

“…Multivariate Cox models evaluated the predictive value of severe MAC alongside other significant variables. …”
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A rapid host–protein test for differentiating bacterial from viral infection: Apollo diagnostic accuracy study by Richard G. Bachur, Sheldon L. Kaplan, Cesar A. Arias, Natasha Ballard, Karen C. Carroll, Andrea T. Cruz, Richard Gordon Jr., Salim Halabi, Jeffrey D. Harris, Kristina G. Hulten, Theresa Jacob, Mark D. Kellogg, Adi Klein, Pninit Shaked Mishan, Sergey M. Motov, Octavia M. Peck‐Palmer, Leticia M. Ryan, Ma'anit Shapira, George S. Suits, Henry E. Wang, Alexandra Weissman, Richard E. Rothman

“…MMBV demonstrated sensitivity of 90.0% (95% confidence interval [CI]: 80.3–99.7), specificity of 92.8% (90.0%–95.5%), and negative predictive value of 98.8% (96.8%–99.6%) for bacterial infections. …”
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The Anti-Nucleocapsid IgG Antibody as a Marker of SARS-CoV-2 Infection for Hemodialysis Patients by Akemi Hara, Shun Watanabe, Toyoaki Sawano, Yuki Sonoda, Hiroaki Saito, Akihiko Ozaki, Masatoshi Wakui, Tianchen Zhao, Chika Yamamoto, Yurie Kobashi, Toshiki Abe, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama, Yudai Kaneko, Hiroaki Shimmura, Masaharu Tsubokura

“…Adjusted models had lower predictive value. <i><b>Conclusions:</b></i> Anti-IgG N antibodies showed high diagnostic accuracy for detecting prior SARS-CoV-2 infection in hemodialysis patients, though performance declined over time. …”
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The impact of perivascular adipose tissue characteristics on incident cardiovascular events in non-dialysis chronic kidney disease patients by Shaozhen Feng, Shaozhen Feng, Zhiman Lai, Miaorong Xue, Miaorong Xue, Wenjiao Zhu, Wenjiao Zhu, Qian Zhou, Xiaojie Ke, Xiaojie Ke, Xingdi Guo, Xingdi Guo, Wei Chen, Wei Chen, Shurong Li, Qunying Guo, Qunying Guo

“…A multivariable model showed EAT volume enhanced the Framingham risk score's predictive value, achieving an area under the curve (AUC) of 0.76 (95% CI 0.66–0.87).ConclusionThese findings suggest EAT volume significantly predicts incident cardiovascular events in non-dialysis CKD patients.…”
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Clinical usefulness of an ultra-high-sensitivity hepatitis B surface antigen assay to determine the cessation of treatment for HBV reactivation by Takanori Suzuki, Akihiro Tamori, Kentaro Matsuura, Takako Inoue, Shigeru Kusumoto, Shinya Hagiwara, Haruka Sagi, Atsushi Kaneko, Shuko Murakami, Hayato Kawamra, Kei Fujiwara, Katsumi Aoyagi, Masaru Enomoto, Ritsuzo Kozuka, Hiromi Kataoka, Yasuhito Tanaka

“…The iTACT-HBsAg assay had the highest positive predictive value and the best overall diagnostic performance for predicting non-VR after cessation of NA. …”
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Redefining the role of IL-18 in post-surgical recovery and sepsis: a key mediator of inflammation resolution by Ioanna Papatheodorou, Gabriela Blažková, Veronika Bosáková, Zuzana Tomášiková, Erin Spearing, Robin Klieber, Pavel Ostašov, Julie Štíchová, Martina Dvončová, Alexandra Mýtniková, Jan Emmer, Kamila Bendíčková, Tomáš Tomáš, Vladimír Šrámek, Petros Kolovos, Monika Holubová, Martin Helán, Marcela Vlková, Jan Frič, Marcela Hortová-Kohoutková

“…Finally, TNF-α/IL-18 ratio showed a high predictive value of clinical severity in septic patients. …”
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Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes by Françoise Derouane, Jérôme Ambroise, Cédric vanMarcke, Mieke Van Bockstal, Martine Berlière, Christine Galant, Hélène Dano, Médina Lougué, Elena Benidovskaya, Guy Jerusalem, Vincent Bours, Claire Josse, Jérôme Thiry, Aurélie Daumerie, Caroline Bouzin, Cyril Corbet, François P. Duhoux

“…The objective of this study was two fold: (a) by investigating the predictive value of EMT and TILs, we aimed to estimate the chance of achieving a response after neoadjuvant chemotherapy (NAC) and (b) to evaluate the potential changes of EMT and TILs in BC upon NAC. …”
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