MRI-based risk factors for intensive care unit admissions in acute neck infections by Jari-Pekka Vierula, Harri Merisaari, Jaakko Heikkinen, Tatu Happonen, Aapo Sirén, Jarno Velhonoja, Heikki Irjala, Tero Soukka, Kimmo Mattila, Mikko Nyman, Janne Nurminen, Jussi Hirvonen

“…Model performance was evaluated using the area under the curve (AUC) from receiver operating characteristic analysis. Machine learning models (random forest, XGBoost, support vector machine, neural networks) were tested. …”
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Association of CALLY index and CLR with COPD risk in middle-aged and older Americans: evidence from NHANES 2017–2020 by Jiaji Zhou, Jiaji Zhou, Wenyi Du, Hanzhou Huang, Hanzhou Huang, Yongqi Chen, Yongqi Chen, Leyan Chen, Leyan Chen, Mingfeng Zheng, Mingfeng Zheng

“…The predictive performance of these biomarkers for COPD risk was assessed using receiver operating characteristic (ROC) curve analysis.ResultsAfter controlling for confounders, for every one-unit increase in the CALLY index (converted to natural logarithm), the prevalence of COPD decreased by 19% (OR = 0.81, 95% CI: 0.71–0.92, P = 0.001). …”
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Development of a cELISA for effective detection of the antibody against H7 subtype of avian influenza virus by Cong-cong WANG, Si-wen WANG, Ying ZHANG, Jian-zhong SHI, Xin YIN, Cheng-jun LI, Xiu-rong WANG

“…To determine the cut-off value of cELISA, percent inhibition (PI) was determined by using receiver operating characteristic (ROC) curve analysis in 178 AIVs negative samples and 368 AIVs positive serum samples (n=546). …”
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Risk factors, prognostic factors, and nomograms for liver metastasis in stage Tis-T2 colorectal cancer patients from a population-based study by Zejin Lin, Zeyu Lin, Taijun Yi, Yongling Liang, Ziyan Mai, Xingyu Li, Chengrui Zhong, Yunle Wan, Guolin Li

“…Subsequently, two nomograms were developed and the results were assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…The adaptive neuro-fuzzy inference system (ANFIS) satisfied operation in predicting rangeland soil CS under the different sampling depths and heights. …”
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Results of microsurgical resection of glioblastomas under endoscopic and fluorescent control by A. Yu. Rynda, V. E. Olyushin, D. M. Rostovtsev, Yu. M. Zabrodskaya, G. V. Papayan

“…A retrospective single-center analysis was performed in 20 patients with glioblastoma. …”
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Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer by Zhixin Jin, Xuegu Wang, Xiang Li, Shasha Yang, Biao Ding, Jiaojiao Fei, Xiaojing Wang, Chengli Dou

“…Subsequently, univariate Cox, least absolute shrinkage and selection operator (LASSO) and stepwise regression analysis were employed to determine independent prognostic genes related to relapse in OC to establish a RiskScore model. …”
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Alzheimer’s disease biological PET staging using plasma p217+tau by Azadeh Feizpour, Vincent Doré, Natasha Krishnadas, Pierrick Bourgeat, James D. Doecke, Ziad S. Saad, Gallen Triana-Baltzer, Simon M. Laws, Rosita Shishegar, Kun Huang, Christopher Fowler, Larry Ward, Colin L. Masters, Jurgen Fripp, Hartmuth C. Kolb, Victor L. Villemagne, Christopher C. Rowe

“…The performance of p217+tau in discriminating AD stages was assessed using Receiver Operating Characteristic (ROC) analysis and logistic regression. …”
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Incidence and risk factors of post-transplant diabetes mellitus among kidney transplant recipients: a retrospective study from a tertiary center in Saudi Arabia by Mutlaq Alotaibi, Najlaa Almalki, Manal E. Alotaibi, Majed Alosaimi, Monther Alazwari, Mohamed Hussein, Faisal Alhomayani, Abdulmajeed Alotaibi, Ameerah Bajaber, Fahad Bhutto, Abdulmajeed Algethami, Bassem A. Almalki

“…Statistical analyses included t-tests, multivariate logistic regression, chi-square tests, Mann-Whitney U test, and Fisher’s exact tests. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for predictive variables. …”
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The Safety and Efficacy of Intravascular Lithotripsy in the Treatment of Severe Coronary Artery Calcification in 261 Cases: A Retrospective Study by Tiankun Wu, Honghui Yang, Guian Xu, Qingman Li, Lijie Zhu, Yapan Yang, Tingjie Yang

“…Nevertheless, its comprehensive safety and efficacy in pretreating severe coronary artery calcification lesions remain uncertain, and research data is relatively scarce compared to traditional techniques, especially in the large hospital setting of Henan with a considerable population base. …”
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Prospective Study of a Point-of-Care Diagnostic Test for Acute Kidney Injury in a South Asian Hospital by Tejashree S. Gopal, Katherine Xu, Yechiel Muller, Jai Radhakrishnan, Vivekanandan Pillai, Jonathan Barasch, Sreejith Parameswaran, Catherine S. Forster

“…Results: Elevated uNGAL (median [interquartile range]: 500 ± 350 ng/ml) in the EMSD indicated sustained increases of SCr (> 48 hours); whereas much lower levels of uNGAL indicated either transient changes (< 48 hours; 150 ± 250 ng/ml) or no elevation of SCr (50 ± 97.5 ng/ml) (P < 0.01). Analysis of the entire cohort (N = 229) or the “strict” subset with complete SCr measurements (n = 129) (P < 0.01) yielded similar data. uNGAL was highly specific and moderately sensitive (specificity: 0.90 [0.83–0.95]; sensitivity: 0.82 [0.67–0.96]) to indicate sustained elevation of SCr (area under the curve–receiver operating characteristic curve: 0.86; confidence interval: [0.76–0.96] and odds ratio [OR]: 16.19; confidence interval: [5.63–59.02] for NGAL levels > 125 ng/ml). …”
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The regrouping of Luminal B (HER2 negative), a better discriminator of outcome and recurrence score by Zheng‐Jun Yang, Yu‐Xiao Liu, Yue Huang, Zu‐Jin Chen, Hao‐Zhi Zhang, Yue Yu, Xin Wang, Xu‐Chen Cao

“…Methods In this study, we retrospectively reviewed the data of 1603 patients who were diagnosed with HER2‐negative breast invasive ductal carcinoma. …”
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A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

“…A prognostic signature was then established and assessed for its predictive value, stability and applicability using Kaplan-Meier analysis and receiver operating characteristic curves. …”
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Diagnostic efficacy of MRI balanced steady-state free precession-based radiomics for benign and malignant diagnosis of peripheral lymph nodes in rectal cancer by Zhang Jun, Zhang Haiqing, Xu Wei, Zhao Hui, Xia Peng, Li Junjun

“…An effective radiomics model was constructed through data dimensionality reduction and feature selection. …”
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Role of unsafe medical practices and sexual behaviours in the hepatitis B and C syndemic and HIV co-infection in Rwanda: a cross-sectional study by Neil Gupta, Jean Damascene Makuza, Sabine Umuraza, Janvier Serumondo, Sabin Nsanzimana, Marie Paul Nisingizwe, Jean Olivier Twahirwa Rwema, Donatha Dushimiyimana, Dominique Savio Habimana, Alida Ngwije, Muhamed Semakula

“…Objectives This study describes the burden of the hepatitis B, C and HIV co-infections and assesses associated risk factors.Setting This analysis used data from a viral hepatitis screening campaign conducted in six districts in Rwanda from April to May 2019. …”
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A study on the prediction of targeted therapy efficacy in advanced lung adenocarcinoma patients with EGFR mutations using CT-based delta-radiomics model by Zekai Wu, Zekai Wu, Peiyan Hua, Xiuying Chen, Jie Lei, Laian Zhang, Peng Zhang

“…We segmented tumor regions on pre-and post-treatment CT scans using ITK-SNAP, then extracted radiomic features and applied mRMR-LASSO (Minimum Redundancy Maximum Relevance–Least Absolute Shrinkage and Selection Operator). A delta-radiomics model was developed by quantifying feature changes between treatment phases. …”
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Non-Diffractive Wavefront-Shaping Intraocular Lens with Extended Depth of Focus: First Implantation Experience by K. B. Pershin, N. F. Pashinova, A. Yu. Tsygankov, E. A. Antonov, I. V. Kosova, E. A. Korneeva

“…Purpose. Analysis of short-term clinical and functional results of implantation of a new non-diffractive IOL with expanded depth of focus.Patients and methods. …”
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Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–... by Bingtian Dong, Yuping Chen, Xiaocen Yang, Zhengdong Chen, Hua Zhang, Yuan Gao, Enfa Zhao, Chaoxue Zhang

“…To assess the model’s performance, we applied receiver operating characteristic (ROC) and precision-recall (PR) curves, calibration curves, and decision curve analysis. …”
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Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach by Yang Chen, Xiaojie Su, Fei Yao, Yushan Liu, Hua Xing, Yubin Ju, Zhiran Kang, Wuquan Sun, Lijun Yao, Li Gong

“…The validity of the questionnaire was analysed by logical analysis and test, and the reliability of this questionnaire was mainly tested by a re-test method. …”
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Predictive Value of Plasma D-Dimer for Cerebral Herniation Post-Thrombectomy in Acute Ischemic Stroke Patients by Zhang W, Xing W, Feng J, Wen Y, Zhong X, Ling L, He J

“…We conducted a statistical analysis on the data using SPSS 26.0. Receiver operating characteristic curve (ROC) was used to evaluate the predictive value of D-dimer level for cerebral herniation.Results: Among 278 enrolled patients, 20 cases (7.19%) experienced cerebral herniation. …”
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