Combination of PSA density and MLR improves the diagnostic accuracy of prostate cancer by Feng Guo, Aerken Maolake, Zecheng Ni, Xun Li, Bide Liu, Zetian Tang, Zhenfeng Shi, Jiuzhi Li

“…The area under the curve (AUC) increased when PSAD was combined with MLR in patients with PSA 4–10 ng/mL and patients with PSA 10–22 ng/mL, and the positive predictive values were 81.81% and 90.91%, respectively (P = 0.0008 and P = 0.0002). …”
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Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping by Satish Krishna LOKHANDE, Satyajeet A. DHAWALE, Samir S. PATHAK, Rakesh GAUTAM, Mohindra C. JAIN, Ghanshyam L. BODHE

“…A correlation between observed and software predicted values gives $R^2$ of 0.605 for $L_d$, 0.217 for $L_n$, and 0.524 for $L_dn$. …”
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Evaluation of pulmonary function tests and vitamin D level in pre and postmenopausal women by Saima Zareen, Faraz Ahmed Bokhari, Sibgha Zulfiqar

“…Mean serum vitamin D level was 42.91±16.94ng/ml in group 1, and 27.42±6.70ng/ml in group 2 (p = 0.001). The percentage predicted value of age for forced expiratory volume in 1 second, forced vital capacity, and the ratio between the two in group 1 were 82.95±2.75%, 83.10±2.65% and 0.998±0.003% respectively. …”
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Correlations of soluble TRAILR4, white blood cell count, and 25-hydroxyvitamin D with acute upper respiratory infection in children by Wu Lianfang, Chen Zhengjie, Hu Jiakai

“…Receiver operating characteristic (ROC) curves were plotted to analyze the predictive values of serum sTRAILR4 and 25(OH)D levels and WBC count for AU-RI. …”
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Analysis of the association between glomerular filtration rate, proteinuria and metabolic syndrome in chronic kidney patients based on longitudinal data by Li Guo, Shanshan Guo, Youlan Gong, Jing Li, Jiandong Li

“…The combination of diabetes, hyperlipidemia, UA, SBP, and eGFR exhibited higher prediction value for the CKD patients complicated by MS. …”
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D-dimer serves as predictor of plastic bronchitis or necrotizing pneumonia in children with Mycoplasma pneumoniae pneumonia by Yanke Yue, Tiantian Lian, Lei Kang, Shuai Liu, Wenjin Geng, Meixian Xu

“…Receiver operating characteristic (ROC) analysis showed that the best cutoff point for D-dimer in predicting PB or NP is 2.44 (mg/L) (AUC = 0.85, 95% CI: 0.76–0.95, sensitivity: 92.31%, specificity: 75.53%, P < 0.001*).ConclusionsThis study found that the elevated DD level (≥2.44 mg/L) has a predicting value for the progression of children with MPP to the composite outcome of PB or NP. …”
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Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury by Yue Zhang, Chuan Lu, Jingying Xu, Qiqi Ma, Mei Han, Li Ying

“…This study aims to develop novel integrative models to identify DILI-associated liver inflammation and fibrosis, and compare the predictive values with previously developed indexes.MethodsA total of 72 DILI patients diagnosed as DILI through liver biopsy were enrolled in this study. …”
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Development and validation of a Jordan-specific risk score for type 2 diabetes mellitus by Julia A Critchley, Laith J Abu-Raddad, Yousef Khader, Susanne F Awad, Asalah Alareeki, Kamel M Ajlouni

“…The positive and negative predictive values were 29.7% (95% CI: 28.4 to 31.0%) and 94.0% (95% CI: 93.3 to 94.7%), with 42.7% of Jordanians at high risk for diabetes. …”
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THE CRITERIA FOR LYMPH NODE METASTATIC DISEASE IN UTERINE CERVIX CANCER PATIENTS BASED ON MRI FINDINGS by E. G. Zhuk, I. A. Kosenko

“…The sensitivity and specificity with a cutoff of ≥0.8cm were 68 % (CI 48.3‑82.9) and 80 % (CI 63.8‑90.3), respectively; the positive and negative predictive values were 71 % and 78 %, respectively; and the accuracy was 75 % (CI 62.7‑84.3). …”
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Evaluating educational effectiveness of three-dimensional (3D)-printed training models and custom-made fibula model for osteotomy and flap inset training in head and neck reconstru... by Dharmik Gondalia, Mohit Parakh, Kunal Mokhale, Vineet Kumar, Ameya Bindu, Mayur Mantri, Saumya Mathews, Dushyant Jaiswal, Akshay Bhavke, Vinay Kant Shankhdhar

“…This study aimed to evaluate the educational value of 3D-printed training models and custom-made fibula models in enhancing surgical skills, supported by structured assessments and feedback. …”
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Evaluating the quality of osteonecrosis and avascular necrosis content on youtube: a multidimensional analysis using DISCERN, JAMA, and GQS tools by Javid Mohammadzadeh Azarabadi, Kemal Gökkuş, Neveen Shalalfa

“…This study aims to assess the quality and educational value of YouTube videos on AVN. Methods A systematic search was conducted on November 17, 2024, using the terms “avascular necrosis” and “osteonecrosis.” …”
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Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

“…All models were externally validated on 1,334 ECGs from another hospital, with performance assessed by area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and predictive values. Results: In external validation, the transfer learning model achieved the highest AUROC (0.903; 95% CI: 0.887-0.918), closely followed by the general model (0.899; 95% CI: 0.883-0.915); the difference was not significant. …”
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Unveiling the pathogenic mechanisms of polyethylene terephthalate-microplastic-driven osteoarthritis and rheumatoid arthritis: PTGS2 signaling hub-oriented toxicity profiling by Jingkai Di, Shuang Wang, Lujia Liu, Keying Rong, Zijian Guo, Yingda Qin, Feida Wang, Chuan Xiang

“…After further screening, two proteins such as AKT1 and four proteins such as NR3C1 have relatively high predictive values in OA and RA respectively. Among them, PTGS2 and PET-MPs are strongly correlated targets causing injuries in OA and RA. …”
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Application of prediction model based on CT radiomics in prognosis of patients with non-small cell lung cancer by Zefei Peng, Yubo Wang, Yurong Qi, Hao Hu, Yang Fu, Jiageng Li, Wei Li, Zhanxuan Li, Weilian Guo, Chunqi Shen, Jiezhi Jiang, Bin Yang

“…The calibration curve exhibited that the predicted values of the prognostic prediction model agreed well with the actual values. …”
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Application of non-invasive prenatal testing for fetal chromosomal disorders in low-risk pregnancies: a follow-up study in central China by Qiuxiang Huang, Qiuxiang Huang, Qiao Xu, Meihuan Chen, Meihuan Chen, Wenli Fan, Hailong Huang, Hailong Huang

“…A total of 572 (95.65%) patients with NIPT-positive results underwent amniocentesis, and 55.77% (319/572) cases were confirmed. The positive predictive values (PPV) for T21, T18, T13, SCAs, RAAs, and CNVs were 87.50%, 60.00%, 34.78%, 58.97%, 32.50%, and 69.70%, respectively, and the PPV for the trisomy was higher than that for the X-monomer in SCAs. …”
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Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries:... by Franz E Babl, Simon Craig, Susan M Donath, Meredith L Borland, Natalie Phillips, Amit Kochar, Gavin A Davis, Shane George, Stuart Dalziel, Arjun Rao, Nathan Kuppermann, Stacy Goergen, Sarah Watson, Amanda Williams, Eunicia Tan, Catherine L Wilson, Michelle Davison, Blessy John-Denny, Sonia Singh, Sharon O’Brien, Geoffrey N Askin, Chris J Selman, Julie C Leonard

“…The performance accuracy (sensitivity, specificity, negative and positive predictive values) of three existing CDRs in identifying children with study-defined CSIs and the specific CDR defined outcomes will be determined, along with multiple secondary outcomes including CSI epidemiology, investigations and management of possible CSI.Ethics and dissemination Ethics approval for the study was received from the Royal Children’s Hospital Melbourne Human Research Ethics Committee in Australia (HREC/69436/RCHM-2020) with additional approvals from the New Zealand Human and Disability Ethics Committee and the SingHealth Centralised Institutional Review Board. …”
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Utility of serum cytokine testing to differentiate complicated common variable immunodeficiency in resource limited settings by Aditi Jogdand, BS, Karen M. Gilbert, PhD, Joseph S. Hong, BS, Andrew J. Pak, BS, Katherine Liu, BA, Uhuru Kamau, MS, Neha V. Khairnar, MS, MBA, Henry C. Ssemaganda, MD, MS, Daniel DiGiacomo, MD, MPH, Sara Barmettler, MD, MPH, Mei-Sing Ong, PhD, Jocelyn R. Farmer, MD, PhD

“…We assessed the association of cytokine levels with AI disease and immunophenotypes using Wilcoxon test or Spearman correlation, statistically adjusted for multiple testing. We compared predictive values of cytokine levels and lymphocyte subsets, measured by the area under the receiver-operating characteristic curve. …”
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Optimising coronary imaging decisions with machine learning: an external validation study by Floor Groepenhoff, Leonard Hofstra, Sophie Heleen Bots, Saskia Haitjema, Imo Hoefer, L. Malin Overmars, Bram van Es, Mark C. H. De Groot, G. Aernout Somsen, I. Igor Tulevski, Hester M. den Ruijter, Wouter W. van Solinge

“…The outcome was defined as the absence of coronary stenosis, identified through text mining of radiology report conclusions, and predictive performance was assessed by negative predictive values (NPVs) and specificities.Results On the training cohort (9298 men (median age 55 years, 73% no coronary stenosis) and 5376 women (median age 59 years, 83% no coronary stenosis)), the algorithms showed NPVs and specificities of 0.95 and 0.14 in men and 0.93 and 0.26 in women, respectively. …”
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Optimization of chlorophyll extraction from mulberry leaves using response surface methodology by CHEN Shao-yuan, LÜ Zhen-er, DONG Feng-li, MAO Bi-zeng

“…Under the optimal extraction condition, the chlorophyll productivity was 5.376 mg/g, which was in consistent with the predicted value of 5.451 mg/g.In conclusion, the optimization of chlorophyll extraction by RSM is convenient, feasible and highly efficient.…”
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Validation of the arabic version of the edinburgh postnatal depression scale for screening antenatal depression in Oman by Khalood Al-abri, Hana AL Sumri, Mohammed Al-Azri, Divya Kuzhivilayil Yesodharan, Rahma Al Kindi

“…Results The Omani version validation of the EPDS yielded an optimal cut-off score of 11/12 for antenatal depression, with sensitivity, specificity, positive and negative predictive values of 86.30%, 71.37%, 45.65%, and 94.92%, and an area under the curve of 0.85. …”
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