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  1. 521

    Threshold scores for treatment success after reverse shoulder arthroplasty using Oxford Shoulder, Constant-Murley and University of California Los Angeles scores by Najim Yusof, Sheng Xu, Lie Tijauw Tjoen Denny

    Published 2025-08-01
    “…Conclusion: The OSS, CMS and UCLA shoulder score have good predictive value for treatment success after reverse shoulder arthroplasty.…”
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    Article
  2. 522

    Routine Genetic Testing of Germline Breast Cancer Susceptibility ─ Challenges and Opportunities by Cornelia Leo, Kathrin Schwedler, Rosaria Condorelli, Nicole Bürki, Jens Huober, Khalil Zaman, Christian Kurzeder, Marcus Vetter

    Published 2023-10-01
    “…Information on germline BRCA (g*BRCA*) 1/2 pathogenic or likely pathogenic mutations has predictive value for response to platinating agents and poly(ADP-ribose) polymerase inhibitors (PARPi) and survival outcomes of breast cancer (BC) patients. …”
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  3. 523

    Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures by Patrick G. Monaghan, Michael VanNostrand, Taylor N. Takla, Nora E. Fritz

    Published 2025-03-01
    “…This study evaluates the predictive value of combining sensor-derived clinical measures and participant-reported outcomes to better forecast prospective physical activity levels in individuals with MS. …”
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  4. 524

    Personalized Organoid-Based Treatments in Older Patients with Cancer: A Registry Study in Progress by Pirmin Häuptle, Kirsten Mertz, Michèle Voegeli, Robert Rosenberg, Emanuel Burri, Svetozar Subotic, Anna Romanens, Anne Leuppi-Taegtmeyer, Christian Regenbrecht, Lena Wedeken, Marcus Vetter

    Published 2024-10-01
    “…Clinical trials have demonstrated a high predictive value and statistically significant correlation between the patient’s clinical response and tumor organoid response in different cancer types. …”
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    Article
  5. 525

    Role of Magnetic Resonance Arthrography (MRA) in the Diagnosis of Shoulder Injuries by Prateek Awasthi, Abhishek Dwivedi, Satveer S. Choudhary

    Published 2025-06-01
    “…In comparison with the gold standard for arthroscopy, the sensitivity (Sn), positive predictive value (PPV), and diagnostic accuracy (DA) of MRA for diagnosing shoulder injuries were evaluated. …”
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    Article
  6. 526

    ПРОГНОЗИРОВАНИЕ ТРАНСФОРМАЦИИ РЕЦИДИВИРУЮЩЕЙ ФОРМЫ ФИБРИЛЛЯЦИИ ПРЕДСЕРДИЙ В ХРОНИЧЕСКУЮ У ПАЦИЕНТОВ С АРТЕРИАЛЬНОЙ ГИПЕРТОНИЕЙ... by Н. Е. Григориади, Л. М. Василец, А. В. Туев, А. В. Петруша, Е. А. Ратанова

    Published 2014-04-01
    “…It was revealed that the performance of remodeling of the left atrium (the level of PICP, TIMP-1, and the index of the PL to the BSA) have predictive value in the risk of progression of AF. The risk of transition to a chronic form of arrhythmia increases as the concentration of PICP over 133 ng/ml (Se 70–73% and Sp 62–75%), at a concentration of TIMP-1 less than 490 ng/ml (Se 67–78%, Sp 69–75%) and index of LP to PPT than 32–34 ml/m 2 (Se 80%, Sp 77–83%). …”
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  7. 527

    PLASMA LEPTIN LEVELS IN METABOLIC SYNDROME PATIENTS WITH ISCHEMIC HEART DISEASE by O. M. Drapkina, R. N. Shepel, T. A. Deeva

    Published 2016-06-01
    “…To assess leptin level in blood serum of patients with metabolic syndrome (MS), including comorbidity with ischemic heart disease (IHD), to reveal possible predictive value of this marker for IHD development in MS. …”
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  8. 528

    Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

    Published 2025-12-01
    “…This study systematically compares conventional and modern machine learning models for milk yield prediction and evaluates the influence of climatic variability in Switzerland (moderate climate) and Thailand (tropical climate) using the same analytical framework.Five models—linear regression, ridge regression, gradient boosting regression, AdaBoost, and LightGBM—are tested with various feature sets, including Day-in-Milk, individual and combined meteorological variables, and three lagged milk yield values to assess their predictive value. Model performance is further analyzed on sub-datasets stratified by breed and parity range to explore climate effects in more homogeneous groups.The results demonstrate that simple models perform comparably to complex ones, with gradient boosting regression consistently outperforming other boosting methods. …”
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  9. 529

    Assessment of podocyte detachment as a pivotal step in the development of focal segmental glomerulosclerosis by Ikbal Ahmed Abdo Elkholy, Wagdi Elkashef, Fatma El-Husseini Mostafa, Amany Hassan

    Published 2024-11-01
    “…Conclusion Standardized reporting of detached podocyte cells is becoming mandatory as they have a high positive predictive value for the expected EM picture.…”
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  10. 530

    Performance Predictors in Elite Athletes: Evaluating the Role of Eccentric Utilization Ratio and Mechanical Power Outputs by Selman Kaya, Mehmet Ersöz

    Published 2025-07-01
    “…In conclusion, although EUR demonstrated limited predictive value particularly in male athletes directly measured strength–power variables appear to be more reliable indicators of athletic performance. …”
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  11. 531

    Efficacy of vestibular tests for differential diagnosis of acute vestibular disorders: a cross-sectional study by Sharda Sarda, C. S. Vanaja, R Chetana, Priscilla Joshi, S Gorthi

    Published 2025-06-01
    “…Method Aim of the present study was to investigate the predictive value of vestibular tests in differential diagnosis of acute unilateral vestibular neuropathy AUVP & VM which are common causes of AVS syndrome. …”
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  12. 532

    Alzheimer’s disease risk prediction using machine learning for survival analysis with a comorbidity-based approach by Ferial Abuhantash, Roy Welsch, Stan Finkelstein, Aamna AlShehhi

    Published 2025-08-01
    “…In this study, we address this need by employing survival analysis techniques to predict transition time from Cognitive Normal (CN) to Mild Cognitive Impairment (MCI) in elderly individuals, considering the predictive value of baseline comorbidities. Leveraging data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) databases, we construct feature sets encompassing demographics, cognitive scores, and comorbidities. …”
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  13. 533

    Clinical value of NGAL,copeptin and creatinine in hypoxic renal injury of full-term neonates with asphyxia by ZHOU Ran, SUN Meng, XU Li-jing

    Published 2019-01-01
    “…The ROC curve analysis showed that NGAL level had a good predictive value( 140. 7 ng/mL),which could be used to diagnose the AKI of neonatal asphyxia. …”
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  14. 534

    Developing serum proteomics based prediction models of disease progression in ADPKD by Hande Ö. Aydogan Balaban, Sita Arjune, Franziska Grundmann, Jan-Wilm Lackmann, Thomas Rauen, Philipp Antczak, Roman-Ulrich Müller

    Published 2025-07-01
    “…The final outcome prediction model (adjusted R² 0.31) contains six proteins, namely Endothelial Plasminogen Activator Inhibitor (SERPINF1), Glutathione Peroxidase 3 (GPX3), Afamin (AFM), FERM Domain Containing Kindlin-3 (FERMT3), Complement Factor H Related 1 (CFHR1), and Retinoic Acid Receptor Responder 2 (RARRES2), the predictive value of which is independent from the clinical and imaging parameters currently used in clinical care. …”
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    Article
  15. 535

    GrimAge and GrimAge2 Age Acceleration effectively predict mortality risk: a retrospective cohort study by Tieshi Zhu, Yong He, Yixi Wang, Le Zhao

    Published 2025-12-01
    “…However, the comparative predictive value of AAs derived from different epigenetic clocks for mortality risk has not been systematically evaluated. …”
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  16. 536

    Diagnostic reliability of a simplified epidemiologic tool to detect high-risk overjet for dental trauma. by Andressa Reisen, Alessandra Ramos Parpaiola, Arlete Maria Gomes Oliveira, Luciane Zanin, Flávia Martão Flório

    Published 2015-12-01
    “…Sensitivity, specificity, positive and negative predictive values were calculated for the classification of risk for dental trauma in terms of overjet using the simplified method and compared to the conventional method. …”
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    Article
  17. 537

    Risk factors for nutritional status determination and indications for preventive nutrition therapy in hospitalized gastroenterological patients by Roganović Branka, Perić Saša, Tarabar Dino

    Published 2007-01-01
    “…The presence of general complications and severe disease activity were considered as primary risk factors, whereas malignant disease, age above 71, hepato-billiary tract involvement, hospitalization longer than 14 days, and mobility worsening were considered as secondary risk factors. The best predictive value for the NSW was proved for the RSNSW ≥ 6. …”
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  18. 538

    Liquid biopsy for minimal residual disease and monitoring in early-stage non-small cell lung cancer: current clinical utility and implementation challenges by Yoshiharu Sato

    Published 2025-08-01
    “…Ongoing efforts to establish consensus thresholds, filter clonal hematopoiesis, and validate predictive value in large-scale trials are essential for routine adoption. …”
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  19. 539

    Remnant cholesterol predicts the development of type 2 diabetes in patients with nonalcoholic fatty liver disease by Liping Yang, Hangkai Huang, Zejun Wang, Chengfu Xu

    Published 2025-07-01
    “…Abstract Background The predictive value of serum remnant cholesterol in cardiovascular disease has been widely recognized. …”
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  20. 540

    A NON-INVASIVE MARKER OF INSULIN RESISTANCE IN PATIENTS WITH OBESITY by N. G. Veselovskaya, G. A. Chumakova, A. V. Ott, O. V. Gritsenko

    Published 2013-12-01
    “…To investigate the association between the thickness of epicardial fat tissue (tEFT) and IR and to determine the predictive value and threshold levels of tEFT for the diagnostics of IR. …”
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