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Showing 981 - 1,000 results of 1,392 for search '(((("the predictive value") OR ("the reduction value"))) OR ("the education value"))', query time: 0.16s Refine Results
  1. 981

    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

    Published 2025-03-01
    “…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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  2. 982

    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

    Published 2025-07-01
    “…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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  3. 983
  4. 984

    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

    Published 2020-12-01
    “…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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  5. 985

    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

    Published 2020-03-01
    “…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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  6. 986

    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

    Published 2025-07-01
    “…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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  7. 987

    Sentinel lymph node biopsy experience in squamous cell carcinoma of the oral mucosa сT1–2N0M0 by F. E. Sevryukov, V. V. Polkin, Yu. A. Panaseikin, M. A. Sigov, R. F. Zibirov, I. A. Bekhtereva, S. A. Ivanov, A. D. Kaprin

    Published 2024-04-01
    “…The specificity of method was 95 %, the predictive value of a negative result was 0.04.Conclusion. …”
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  8. 988

    Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities by Lanting Yang, Lanting Yang, Lanting Yang, Hui Xu, Hui Xu, Honghu Jiang, Jingyin Zhu, Shihao Chen, Shihao Chen

    Published 2025-07-01
    “…The validity, reliability, and predictive value of the index were further assessed using the validation dataset. …”
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    Article
  9. 989

    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

    Published 2025-07-01
    “…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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  10. 990

    Nocturnal hypoxemia is associated with poor pulmonary hemodynamics in patients with chronic thromboembolic pulmonary disease by Teng Han, Qiang Huang, Zhenguo Zhai, Xiaolei Zhang

    Published 2025-07-01
    “…Receiver operating characteristic (ROC) curves for the detection of a mPAP ≥ 25 mmHg, PVR > 3 WU and WHO FC III-IV indicated that nocturnal hypoxemia parameters had moderate predictive value. (T90: AUCmPAP=0.698, AUCPVR=0.733, AUCWHO−FC=0.729, respectively; MeanSpO2: AUCmPAP=0.691, AUCPVR=0.731, AUCWHO−FC=0.707, respectively). …”
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  11. 991

    Assessment of Long-Read Sequencing-Based Congenital Adrenal Hyperplasia Genotyping Assay for Newborns in Fujian, China by Xudong Wang, Xingxiu Lu, Faming Zheng, Kun Lin, Minjuan Liao, Yi Dong, Tiantian Chen, Ying He, Mei Lu, Jing Chen, Yanfang Li, Yulin Zhou

    Published 2025-03-01
    “…Finally, 66 neonates were diagnosed with CAH, with a positive predictive value of 28.82%. Based on this data, the overall prevalence of CAH in Fujian was estimated to be 1:26,883. …”
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  12. 992

    Case Report: Multi-cancer early detection utilizing blood-based genomics: Single-institution case series of novel cancer screening by Somya Khare, Jason C. Burton, Francis De Asis, Saron Mekonnen, Mason J. Stewart-McLellan, Diana Potts, Tiffani L. Howard, Nima Nabavizadeh, Nima Nabavizadeh

    Published 2025-08-01
    “…Cancer risk factors, outcomes of tests and studies performed due to MCED signal positive, time to diagnostic resolution, and treatment outcomes were obtained from chart-review.ResultsFrom January 2020 to December 2020, our institution enrolled 1735 participants (26% of total study enrollment), 27 of which returned a signal positive for cancer suspicion (1.6%), and ultimately 12 diagnosed cancers (true positives) for a positive predictive value of 44%. Four of 12 were recurrent cancers in participants more than three years from cancer therapy. …”
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  13. 993

    Risk factors of bone metastasis in lung adenocarcinoma by Zhongnian Cao, Rong Zheng, Jing Li, Xuejuan Wang, Chao Ding, Fan Zhang, Jianhua Geng, Zhengmao Wei, Rong Fan

    Published 2025-07-01
    “…A receiver operating characteristic curve was used to verify the predictive value of the regression model, and the area under the curve was 0.912 (P < 0.001). …”
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  14. 994

    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

    Published 2025-12-01
    “…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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  15. 995

    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

    Published 2025-08-01
    “…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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  16. 996

    Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

    Published 2025-07-01
    “…Our data indicated no added predictive value of Y chromosomal DNAm markers in our best-performing prediction model, even though we acknowledged the potential of applying Y chromosomal markers for age prediction. …”
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    Article
  17. 997

    Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

    Published 2025-05-01
    “…Comparative analysis demonstrated that RDW exhibited greater predictive value over the aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and SII. …”
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    Article
  18. 998

    Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer by Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye

    Published 2025-06-01
    “…Abstract Background Antigen-presenting and processing fibroblasts (APPFs) have emerged as pivotal regulators of antitumor immunity. However, the predictive value of APPF-related genes (APPFRGs) in the prognosis and tumor immune status of gastric cancer (GC) remains largely unexplored. …”
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  19. 999

    CARDIAC TRANSPLANT REJECTION AND NON-INVASIVE COMON CAROTID ARTERY WALL FUNCTIONAL INDICES by A. O. Shevchenko, I. U. Tunjaieva, A. A. Nasyrova, B. L. Mironkov, I. M. Ilinsky, N. P. Mozhejko, I. I. Muminov, O. P. Shevchenko

    Published 2015-04-01
    “…Analysis showed that iRIG values above estimated treshold 7172 cm/sec2 suggested relative risk of any type of rejection 17.7 (95%CI = 6.3–49.9) sensitivity 80.5%, specificity – 81.1%, negative predictive value – 84.3%. Conclusions. Increased carotid wall stiffness is found in patients with both antibody-mediated and cellular car- diac allograft rejection. …”
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  20. 1000

    A Multi-Algorithm Machine Learning Model for Predicting the Risk of Preterm Birth in Patients with Early-Onset Preeclampsia by Xu Y, Zu Y, Zhang Y, Liang Z, Xu X, Yan J

    Published 2025-08-01
    “…Yanhong Xu,1,&amp;ast; Yizheng Zu,2,&amp;ast; Ying Zhang,1,&amp;ast; Zewei Liang,1 Xia Xu,1,3– 5 Jianying Yan1,3– 5 1College of Clinical Medicine for Obstetrics &amp; Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 2The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, People’s Republic of China; 3Fujian Clinical Research Center for Maternal-Fetal Medicine, Fuzhou, Fujian, People’s Republic of China; 4Laboratory of Maternal-Fetal Medicine, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 5National Key Obstetric Clinical Specialty Construction Institution of China, Fuzhou, Fujian, People’s Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Xia Xu, College of Clinical Medicine for Obstetrics &amp; Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email xuxia0623@fjmu.edu.cn Jianying Yan, College of Clinical Medicine for Obstetrics &amp; Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email yanjy2019@fjmu.edu.cnPurpose: To analyze the risk factors for preterm birth in patients with early-onset preeclampsia (EOPE) based on multi-algorithm machine learning and to construct a predictive model to explore the predictive value of the model.Methods: A retrospective analysis was conducted on 442 EOPE patients from a single tertiary center, divided into preterm birth (&lt; 37 weeks, n=358) and term-born (≥ 37 weeks, n=84) groups. …”
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