Extraction Optimization and Antioxidant Properties of African Eggplant (Solanum macrocarpon) Leaf Polyphenols by A. A. Famuwagun, K. A. Taiwo, S. O. Gbadamosi, D. J. Oyedele, R. E. Aluko, O. C. Adebooye

“…The study concludes that the experimental values compared closely with the predicted values, which indicates suitability of the model employed for polyphenol extraction optimization from dried S. macrocarpon leaves.…”
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Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology by Hassan Hosseinzadeh asl, Ghasem Tohidi, F. Movahedi, E. Hassannayebi

“…Comparison of the modeling results and the predicted values for the sensor sensitivity to benzene shows 97.60% excellent agreement.…”
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Development and validation of a gut motility based model for predicting bowel preparation quality by Hongjiao Wu, Rui Wu, Yunyun Zhang, Xinyi Lu, Wei Zhao, Biyun Xu, Jun Liu, Nina Zhang

“…A cutoff score of 3.0 yielded a sensitivity of 75.0%, specificity of 66.9%, and a negative predictive value of 96.3% in external validation. This model provides a practical, motility-informed approach for risk stratification and personalized preparation regimens, offering potential to enhance the effectiveness and efficiency of colonoscopy in diverse clinical settings.…”
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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

“…Abstract Background The predictive value of serum remnant cholesterol in cardiovascular disease has been widely recognized. …”
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Formulation and optimization of upadacitinib-loaded transdermal patches for rheumatoid arthritis with zero-order release kinetics by Shubham Talole, Rahul Godge, Nikita Tambe, Nikita Mhase

“…The experimental values closely matched predicted values with less than 2% error. Accelerated stability studies confirmed minimal changes in critical parameters over six months. …”
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Branched endovascular aortic aneurysm repair decreases platelet reactivity and platelet-rich thrombus formation – a prospective, cohort study by Aleksandra Gąsecka, Ewelina Błażejowska, Agata Konieczka, Mateusz Leśniewski, Magdalena Ostaszewska, Michał Łomiak, Magdalena Gajewska, Sylwester Rogula, Łukasz Szarpak, Krzysztof J. Filipiak, Mateusz Zawadka, Katarzyna Jama, Paweł Andruszkiewicz, Marcin Grabowski, Tomasz Jakimowicz

“…We aimed to assess the effect of bEVAR on platelet function and the predictive value of preoperative platelet function for postoperative bleeding. …”
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Prognostic value of positive lymph node ratio, tumor deposit, and perineural invasion in advanced colorectal signet-ring cell carcinoma by Liang Chu, Han Wang, Tao Ling, Shuhan Feng, Yucheng Ding, Yan Zhang, Ying Pan, Cenzhu Wang, Xiaohong Wang, Lei Liu

“…The combined analysis demonstrated a higher prognostic predictive value.…”
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Accuracy of office hysteroscopy in the diagnosis of chronic endometritis by Mohamed Elmahdy Abdel Moneim, Amany Abdelbary Abdel Latif, Marwa Said Shehata, Ibrahim Abdel Latif Ghanem

“…The sensitivity, specificity, and positive and negative predictive values of hysteroscopy were 93.83%, 62.07%, 87.36% and 78.26% respectively. …”
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Utility of ultrasound examination in the diagnosis of laryngeal and hypopharyngeal cancers by G. F. Allakhverdieva, G. T. Sinyukova, T. Yu. Danzanova, E. V. Kovaleva, О. A. Saprina, E. A. Gudilina

“…US examination demonstrated a sensitivity of 94.1 %, accuracy of 91.9 %, efficacy of 47.0 %, and positive predictive value of 97.5 %. Specificity was not evaluated since we had no negative results.Conclusion. …”
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Ophthalmologic Psychophysical Tests Support OCT Findings in Mild Alzheimer’s Disease by Elena Salobrar-Garcia, Rosa de Hoz, Blanca Rojas, Ana I. Ramirez, Juan J. Salazar, Raquel Yubero, Pedro Gil, Alberto Triviño, José M. Ramirez

“…The PTs with the greatest predictive value are the higher spatial frequencies in CS and tritan unspecific errors in CP. …”
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Factors influencing the implementation of Integrated Management of Neonatal and Childhood Illness (IMNCI) by nurses in Bhutan: A predictive correlational study by Sonam Pelden, Autchareeya Patoomwan, Tipawan Daramas

“…Results: Nurse management skill was the only significant predictor of IMNCI implementation (β = 0.321, p <0.001), while other variables such as supplies/resources, supervision, attitude, years of service, training, and workload showed no significant predictive value. The model explained 16.8% of the variance in IMNCI implementation. …”
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Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study by Taisuke Sato, Emily D Grussing, Ruchi Patel, Jessica Ridgway, Joji Suzuki, Benjamin Sweigart, Robert Miller, Alysse G Wurcel

“…NLP demonstrated a 54% positive predictive value, outperforming biomarkers, prescription for medications for opioid use disorder, and ICD ConclusionsNLP proved effective in identifying hospitalizations of PWUD, surpassing traditional methods. …”
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Association between obesity indicators and retinopathy in US adults: NHANES 2005–2008 by Chuan-Xi Wang, Miao Kuang, Miao Kuang, Jing-Jing Hou, Si-Yu Lin, Sheng-Zhen Liu, Ning Bao, Zheng-Xuan Jiang

“…ROC curves showed that WWI had the highest predictive value for retinopathy.ConclusionOverall, increased levels of these obesity indicators increase the likelihood of developing retinopathy.…”
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How to Estimate Fat Mass in Overweight and Obese Subjects by Lorenzo Maria Donini, Eleonora Poggiogalle, Valeria del Balzo, Carla Lubrano, Milena Faliva, Annalisa Opizzi, Simone Perna, Alessandro Pinto, Mariangela Rondanelli

“…These data are confirmed by the predictive value analysis where BMI showed a performance similar to a “coin flip.”…”
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Prognostic significance of FT3 levels in hypertrophic cardiomyopathy patients with HFpEF by Zhen-Yu Yang, Zhi-Yuan Zhang, Wei-Jie Zhang, Da Liu, Fu-Shi Piao, Xiangyu Yan, Fang-Tao Shi, Min Yang, Jing Chen, Sheng-song Zhu, Hong-Hou He, Pei-Hong Wu, Cheng Qian, Min Lin, Jun-Qing Feng, Chun-jin Lai

“…Data on demographic and clinical variables, including FT3, were analyzed using univariate and multivariate Cox regression, Kaplan–Meier (KM) survival analysis, and restricted cubic spline (RCS) analysis to explore prognostic factors and FT3's nonlinear predictive value.ResultsAge, atrial fibrillation, and NT-proBNP levels significantly influenced prognosis, while FT3 emerged as an independent predictor of all-cause mortality and cardiac transplantation (P &lt; 0.001). …”
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Effector-Memory γδ T Lymphocytes Predict CMV Disease After the Withdrawal of Prophylaxis in Kidney Transplant Recipients by Yoann Abadie, Jonathan Visentin, Jonathan Visentin, Elodie Wojciechowski, Manon Charrier, Julie Déchanet-Merville, Isabelle Garrigue, Patrick Blanco, Patrick Blanco, Pierre Merville, Pierre Merville, Hannah Kaminski, Hannah Kaminski, Lionel Couzi, Lionel Couzi

“…While no significant association was found in the overall cohort, in R⁺ patients, a count &gt;4.65/mm³ was associated with a 97.7% positive predictive value for protection against CMV disease. Multivariate analysis confirmed its independent association with disease-free survival [HR: 0.27 (95% CI: 0.09–0.85), p = 0.0252]. …”
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Copeptin: Limited Usefulness in Early Stroke Differentiation? by Johannes von Recum, Julia Searle, Anna Slagman, Jörn Ole Vollert, Matthias Endres, Martin Möckel, Martin Ebinger

“…The diagnostic accuracy of copeptin for IS was 63% with a sensitivity of 80% and a positive predictive value of 64%. Conclusion. In this cohort of patients copeptin-levels within 4.5 hours of symptom onset were higher in patients with IS compared to TIA but the broad range of values in stroke-mimics limits diagnostic accuracy. …”
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Novel serum biomarker for powerfully predicting pediatric simple febrile seizures by Jinzhi Mei, Chuanze Hu, Fang Sheng, Zhiyu Wang, Wangxiong Hu

“…ROC curve revealed that during SFS episodes, IFN-α can powerfully in discriminating SFS and health cohorts.ConclusionSerum level of IFN-α hold significant predictive value for SFS occurrence.…”
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A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging by Mengyu Cao, Linlin Ren, Congcong Min, Zeyuan Diao, Hao Chen, Hua Liu, Xiaoyu Li, Jiahui Xu, Zibin Tian, Tao Mao

“…The nomogram based on these features showed good predictive value for NCR, with an area under the curve (AUC) of 0.8095 (95% CI: 0.7538–0.8651) in the training set and 0.7567 (95% CI: 0.6427–0.8707) in the validation set. …”
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Poststroke Fatigue: Who Is at Risk for an Increase in Fatigue? by Hanna Maria van Eijsden, Ingrid Gerrie Lambert van de Port, Johanna Maria August Visser-Meily, Gert Kwakkel

“…The prognostic model to predict an increase in fatigue after stroke has limited predictive value, but baseline fatigue is the most important independent predictor. …”
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