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  1. 2801

    Exploration of the Clinical Parameters as Predictive Biomarkers and Their Potential Roles in the Regulation of Inflammation in Elderly Septic Patients with Pneumonia by Zhao J, Wang J, Wei B, Liu Y

    Published 2025-06-01
    “…Jingjing Zhao,1 Junyu Wang,2,3 Bing Wei,2,3 Yugeng Liu1– 3 1Department of Infectious Disease and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People’s Republic of China; 2Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People’s Republic of China; 3Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Clinical Center for Medicine in Acute Infection, Capital Medical University, Beijing, 100043, People’s Republic of ChinaCorrespondence: Bing Wei, Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, 5 Jing-Yuan Road, Beijing, 100043, People’s Republic of China, Email dr_weibing@126.com Yugeng Liu, Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, 5 Jing-Yuan Road, Beijing, 100043, People’s Republic of China, Email yugeng_liu@126.comBackground: The lack of knowledge on the characteristics, predictive values and potential roles of the clinical parameters for elderly septic patients with pneumonia hinders the application of precision medicine in sepsis and understanding of the possible mechanisms in the regulation of inflammation.Methods: This study retrospectively studied elderly patients with sepsis, who were admitted to the emergency department of Beijing Chaoyang Hospital between October 2021 and June 2022, according to the sepsis-3.0 diagnostic criteria. …”
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  2. 2802

    Lung Ultrasound Is Accurate for the Diagnosis of High-Altitude Pulmonary Edema: A Prospective Study by Weibo Yang, Yuliang Wang, Zewu Qiu, Xuewen Huang, Maoxia Lv, Bin Liu, Dingzhou Yang, Zhenhan Yang, Tingshan Xie

    Published 2018-01-01
    “…., their sensitivity, specificity, and positive and negative predictive values) were assessed, and the results were compared. …”
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  3. 2803

    Late ventricular potentials in risk assessment of the occurrence of complex ventricular arrhythmia in patients with myocardial infarction and heart failure by Ćosić Zoran, Tavčiovski Dragan, Jovelić Aleksandra, Romanović Radoslav

    Published 2004-01-01
    “…Sensitivity, specificity, positive and negative predictive values of late ventricular potentials and left ventricular ejection fraction for the occurrence of complex ventricular arrhythmias were determined. …”
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  4. 2804

    The Prognostic Value of Platelet-to-Lymphocyte Ratio and Tricuspid Regurgitation Velocity in Patients with Light-Chain Myocardial Amyloidosis by Zhu Y, Gong C, Hu J, Gao T, Feng C, Yang C, Wang Y

    Published 2025-07-01
    “…The likelihood ratio χ 2 test showed that PLR and TRV added predictive values to the Mayo04, Mayo12, and Euro15 models. …”
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  5. 2805

    Childhood respiratory risk profiles associate with lung function and COPD among the old population by Chenyuan Qin, Jian Gao, Xingang Sang, Min Liu, Jue Liu

    Published 2025-12-01
    “…Linear regressions and logistic regressions were used to assess the associations between childhood respiratory risk profiles and lung function, including peak expiratory flow (PEF) value, PEF value <80% of the predicted value and COPD.Results A total of 12,296 participants (5017 males and 7279 females) with an average age of 68 years were recruited. …”
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  6. 2806

    Rational and reliable diagnosis of periprosthetic hip and knee joint infection using two nuclear-medicine methods: 99mTc-ciprofloxacin and 99mTc-MDP scintigraphy by Pucar Dragan, Janković Zoran, Starčević Srđan

    Published 2021-01-01
    “…Sensitivity, specificity, and predictive values were also calculated. Results. Microbiologically confirmed PJI was found in 16 out of 39 hip prostheses. …”
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  7. 2807

    ATRIAL FIBRILLATION AND FLUTTER IN HYPERTROPHIC CARDIOMYOPATHY by N. S. Krylova, A. E. Demkina, F. M. Khashieva, E. A. Kovalevskaya, N. G. Poteshkina

    Published 2015-05-01
    “…With the method of binary logistic regression 3 main variables were selected as the most of predictable value for AF: age, LA size, PGmax in OTLV. …”
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  8. 2808

    Risk of sarcopenia in women with breast cancer: a comparative analysis of screening tools by Vanusa Felicio de Souza Mamede, Rayne de Almeida Marques Bernabé, Thalita Gonçalves Santos, Larissa Leopoldino da Silva, Mariana de Souza Vieira, José Luiz Marques-Rocha, Valdete Regina Guandalini

    Published 2025-05-01
    “…The performance of the screening tools was assessed by calculating specificity, sensitivity, positive and negative predictive values, and area under the ROC curve (AUC). …”
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  9. 2809

    Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

    Published 2025-07-01
    “…Measures such as accuracy, sensitivity, specificity, negative and positive predictive values and area under the receiver operating characteristics curve (AUC-ROC) were used for the model performance. …”
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  10. 2810

    Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

    Published 2022-05-01
    “…The constructed autoregressive model is quite adequate, demonstrates stationarity for the time series of the dependent variable and can be considered suitable for predictive values of the current account of the balance of payments. …”
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  11. 2811

    Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data by Marlous M.L.H. Verhulst, Puck Lange, Anil Man Tuladhar, Prejaas Tewarie, Pauline C.W. van Gils, Caroline van Heugten, Judith Bonnes, Thijs Delnoij, Rick Helmich, Jeannette Hofmeijer

    Published 2025-03-01
    “…Potential relations between SSN topology and cognitive outcome point towards spatial heterogeneity of postanoxic encephalopathy. Possible predictive values of SSN structure or function need further investigation.…”
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  12. 2812
  13. 2813

    Relationship between diabetes-related clinical characteristics and preserved ratio impaired spirometry (PRISm): findings from NHANES 2007–2012 by Ting Yang, Chen Wang, Ke Huang, TingTing Huang, Xingyao Tang, Yanan Cui, Xu Chu, Yaodie Peng

    Published 2024-11-01
    “…PRISm was defined as having a forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio ≥0.7 and an FEV1 predicted value &lt;80%. We examined the relationship between diabetes duration, fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), log-transformed homeostasis model assessment for insulin resistance, C reactive protein and the number of comorbidities with PRISm in the entire population. …”
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  14. 2814

    Clinical impact of combined assessment of myocardial inflammation and fibrosis using myocardial biopsy in patients with dilated cardiomyopathy: a multicentre, retrospective cohort... by Toshihisa Anzai, Yasuo Sugano, Tetsuro Yokokawa, Yoshihiko Ikeda, Hatsue Ishibashi-Ueda, Kazufumi Nakamura, Hiromitsu Kanamori, Michiaki Hiroe, Kaoru Dohi, Takafumi Nakayama, Keiko Ohta Ogo, Kinta Hatakeyama, Yoshihiro Seo, Kyoko Imanaka-Yoshida

    Published 2025-03-01
    “…Here, we investigated the combined prognostic value of these two factors, as evaluated using myocardial biopsy samples.Methods This retrospective and multicentre study included patients with DCM—defined as LVEF of ≤45% and left diastolic diameter of &gt;112% of predicted value, without evidence of secondary or ischaemic cardiomyopathy. …”
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  15. 2815

    Optimization of Eugenol, Camphor, and Terpineol Mixture Using Simplex-Centroid Design for Targeted Inhibition of Key Antidiabetic Enzymes by Amine Elbouzidi, Mohamed Jeddi, Abdellah Baraich, Mohamed Taibi, Mounir Haddou, Naoufal El Hachlafi, Meryem Idrissi Yahyaoui, Reda Bellaouchi, Bouchra El Guerrouj, Khalid Chaabane, Mohamed Addi

    Published 2025-07-01
    “…Experimental validation of the optimal mixture resulted in IC<sub>50</sub> values of 11.02 µg/mL (AAI), 60.85 µg/mL (AGI), 3.75 µg/mL (LIP), and 50.12 µg/mL (ALR), showing less than 10% deviation from predicted values, indicating high model accuracy. This study confirms the combined potential of eugenol, camphor, and terpineol, with eugenol and terpineol significantly enhancing bioactivity. …”
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  16. 2816

    Primary care patients presenting with unexpected weight loss in Australian general practices: replication of a diagnostic accuracy study by Brian D Nicholson, Jo-Anne Manski-Nankervis, Alex Lee, Meena Rafiq, Jon Emery, Barbara Hunter, Craig Nelson, Damien McCarthy, Brent Venning, George Fishman, Lucas de Mendonça, Sophie Chima, Deborah Daly, Chris Kearney, Fong Seng Lim, Javiera Martinez-Gutierrez

    Published 2025-07-01
    “…Objective We calculate positive predictive values (PPVs) of patients presenting with unexpected weight loss (UWL) being diagnosed with cancer within 6 months, using data from a population of Australian primary care patients to replicate results from a previous UK study.Design A diagnostic accuracy study involving calculation of the PPV for any cancer using retrospective data from routinely collected electronic healthcare records. …”
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  17. 2817

    Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

    Published 2025-03-01
    “…For the GSFSQ-No classification, the mortality odds ratio was 12.4 (11.4–13.5) (p<0.001) vs GSFSQ-Yes (c-statistic 0.72 (0.70–0.73), p<0.001; accuracy, positive and negative predictive values 81.2%, 83.6%, 83.6%, respectively). Had the tool been utilised at the time of admission, the potential to reduce possibly avoidable subsequent hospital admissions, death-in-hospital and bed days was significant (p<0.001). …”
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  18. 2818

    Systematic elucidation of the effective constituents and potential mechanisms of Scrophulariae Radix against neoplasm based on LC-MS, network pharmacology, and molecular docking ap... by Shu-jie Yu, Xiao-bin Kong, Xin Jin, Meng-yi Shan, Gang Cheng, Pei-lu Wang, Wen-long Li, Pei-yuan Zhao, Yun-jie Sheng, Bing-qian He, Qi Shi, Hua-qiang Li, Qi-ming Zhao, Lu-ping Qin, Lu-ping Qin, Xiong-yu Meng, Xiong-yu Meng

    Published 2025-07-01
    “…As a result, the material–liquid ratio was significantly reduced from 100 g/mL to 32 g/mL, and the extraction efficiency was 1.332%, which was close to the predicted value of 1.346% in the response surface method, indicating that the algorithm model had a good fit. …”
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  19. 2819

    Assessment of synthetic post-therapeutic OCT images using the generative adversarial network in patients with macular edema secondary to retinal vein occlusion by Shi Feng, Jingyuan Yang, Xinyu Zhao, Jianchun Zhao, Yunfeng Du, Weihong Yu, Dayong Ding, Xirong Li, Youxin Chen

    Published 2025-06-01
    “…After verifying their accuracy, supporting models were used to detect the CRT, the maximal retinal thickness, IRC area, and SRF area of synthetic OCT images. The output predictive values are compared with real data according to the annotation on the real post-therapeutic OCT images.ResultsA total of 1,140 pairs of pre- and post-therapeutic OCT images obtained from 95 RVO eyes were included in the study, and 374 images were annotated. …”
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  20. 2820

    Response Surface Methodology Optimization of Time-Resolved Fluorescence Immunoassay for Rapid Detection of AflatoxinB<sub>1</sub> in Yellow Rice Wine by Mengjie Zhu, Dun Wang, Du Wang, Jing Dong, Xue Wang, Qi Zhang, Man Xiao

    Published 2025-05-01
    “…The predicted results showed that the maximum recovery rate of AFB<sub>1</sub> (97.35%) could be obtained under the optimum conditions of a methanol-water volume fraction of 78%, a sample to extraction solvent ratio of 1:3.2, a heating temperature of 34 °C, and a heating time of 6.4 min. These predicted values were further verified by validation experiments. …”
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