Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil) by Renata Felicio-Santos, Simoni Maria Loverde-Oliveira, Wilkinson Lopes Lázaro, Patricia Fernanda dos Santos de Loureiro Nunes, Carolina Joana da Silva

“…Results recorded 425 taxa distributed into 13 taxonomic groups and 20 RFGs, of which nine groups (D, F, J, G, K, MP, N, S1, and P), represented by green algae, cyanobacteria, and diatoms, had the highest predictive value, characterizing lentic environments as rich in nutrients and light, and the Paraguay River as having a lower availability of these resources for phytoplankton. …”
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Complex Immunotherapy-mediated Response Patterns Depicted on Serial 18F-FDG PET imaging of Hodgkin Lymphoma Patient Undergoing Pembrolizumab Therapy by Mohanad Badarneh, Ahmed Abdlkadir, Mohammad Makoseh, Alaa Abufara, Akram Al-Ibraheem

“…Our findings suggest that 18F-FDG PET/CT provides superior predictive value in delineating heterogeneous response patterns, thereby informing critical decisions regarding immunotherapy cessation or adjunctive therapeutic interventions.…”
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Neutrophil Extracellular Traps Contribute to the Disease Severity of Dengue Virus Infection by Cucunawangsih Cucunawangsih, Ratna Sari Wijaya, Nata Pratama Hardjo Lugito, Ivet Suriapranata

“…Future studies on the predictive value of NETs markers and the potential NETs as a targeted therapy in dengue disease should be priori­tized. …”
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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

“…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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An Auxiliary Scoring Model for Patients with Acute Pulmonary Embolism Complicated with Atrial Fibrillation Was Established Based on Random Forests by Chuang Zhang, Qiongchan Guan, Jie Qin, Daochao Huang, Jinhong Wu

“…Finally, the accuracy, sensitivity, specificity, recall rate, accuracy, F1 value, and the receiver operator characteristic (ROC) curve were used to evaluate the predictive value of the models. After statistical analysis, the optimal node value was 3 and the optimal number of decision trees was 500 in the RF model. …”
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Serum phospholipase A2 and phosphoglycerate kinase 1 levels for prognostic assessment of endocrine therapy in elderly patients with prostate cancer by CAI Chunjie, ZHANG Jin

“…Conclusion： Serum levels of PLA2 and PGK1, along with TNM staging of the tumor, can predict the prognosis of elderly patients with prostate cancer undergoing endocrine therapy and have high predictive value. …”
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Characteristics of SARS-CoV-2 testing for rapid diagnosis of COVID-19 during the initial stages of a global pandemic. by Jennifer L Guthrie, Allison J Chen, Dalton R Budhram, Kirby Cronin, Adriana Peci, Paul Nelson, Gustavo V Mallo, George Broukhanski, Michelle Murti, Anna Majury, Tony Mazzulli, Vanessa G Allen, Samir N Patel, Julianne V Kus, Vanessa Tran, Jonathan B Gubbay

“…Overall test sensitivity was 84.6%, with a negative predictive value of 95.5%. Molecular testing is the mainstay of SARS-CoV-2 diagnosis and testing protocols will continue to be dynamic and iteratively modified as more is learned about this emerging pathogen.…”
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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

“…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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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

“…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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Evaluation of Fluorescein Diacetate Viability Staining during Treatment Follow-up Examinations of Smear Positive Pulmonary Tuberculosis Patients by Ujjwala Nitin Gaikwad, Padma Das, Anudita Bhargava, Ajoy Kumar Behera, Tushar Bharat Jagzape, Sachin Chandraker

“…FDA staining outperformed FL microscopy in terms of sensitivity, specificity, positive predictive value (PPV), and NPV, with values of 77.7%, 96.04%, 63.6%, and 97.9%, respectively. …”
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Association between hyperlipidemia and postoperative delirium risk: a systematic review and meta-analysis by Li-quan Qiu, Jian-li Song, Li-cai Zhang, Bin Fan, Qiang Li, Bin Lu, Guan-yu Chen

“…Outcomes of interest included comparisons of blood lipid levels between POD and non-POD (NPOD) patients, the association between hyperlipidemia and POD risk, and the predictive value of hyperlipidemia for POD.ResultsA total of nine studies involving 4,686 patients were included in the meta-analysis. …”
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Serum Levels of Gelatinase Associated Lipocalin as Indicator of the Inflammatory Status in Coronary Artery Disease by Nikolaos Kafkas, Christos Demponeras, Filitsa Zoubouloglou, Loukia Spanou, Dimitrios Babalis, Konstantinos Makris

“…In patients with acute coronary syndromes, serum levels of NGAL have high negative predictive value and reflecting the inflammatory status could show the severity of coronary clinical syndrome.…”
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Post-coronary artery bypass grafting cognitive decline: risk modification and implications for screening in low-risk population by Rada S. Kovaltcova, Nataliia N. Petrova, Sergei F. Zadvorev

“…MMSE demonstrated less predictive value compared to MoCA. Conclusion — POCD risk differs in off-pump and on-pump CABG cohorts, with significantly higher prevalence in the former group, whether assessed using MMSE or MoCA tests. …”
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Establishment of a Lymph Node Metastasis-Associated Prognostic Signature for Lung Adenocarcinoma by Jiao Yu, Gang Li, Yingxuan Tian, Shufen Huo

“…Patients in the high-risk group had poorer overall survival than those in the low-risk group, and validation analysis showed that this model had potential predictive value for patients with LUAD. HPA analysis supported the upregulation of ANGPTL4, KRT6A, BARX2, RGS20 and the downregulation of GPR98 in LUAD compared with normal tissues. …”
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Development and validation of a prognostic nomogram model for severe osteomyelitis patients by Yunlong Liu, Yan Zheng, Sheng Ding

“…Univariate and multiple logistic regression identified independent predictors of one-year mortality and constructed a risk prediction nomogram in the training set. Predictive value of the nomogram was assessed using C-indexes, ROC curves, DCA, CIC and calibration curves. …”
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COX7B Is a New Prognostic Biomarker and Correlates with Tumor Immunity in Esophageal Carcinoma by Yinsen Song, Na Gao, Zhenzhen Yang, Sisen Zhang, Tanli Fan, Baojun Zhang

“…The statistical significance of the predictive value of COX7B expression was explored. The relationship between COX7B expression and tumor-infiltrating immune cells in ESCA was analyzed by using ssGSEA. …”
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The inverse correlation between serum zinc levels and depression severity in Egyptian adolescent students: a case–control study by Amany H. Abdelmoneam, Ghada M. Khafagy, Khaled A. Elbeh, Marwa D. A. Hasan

“…Furthermore, a significant negative correlation was observed between depression severity and zinc levels, even after adjusting for age, sex, and SES. The predictive value of zinc levels in diagnosing depression demonstrated a sensitivity of 64% and specificity of 60.5%. …”
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GrimAge and GrimAge2 Age Acceleration effectively predict mortality risk: a retrospective cohort study by Tieshi Zhu, Yong He, Yixi Wang, Le Zhao

“…However, the comparative predictive value of AAs derived from different epigenetic clocks for mortality risk has not been systematically evaluated. …”
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Ferroptosis-Related Long Noncoding RNAs as Prognostic Marker for Colon Adenocarcinoma by Yuting Qiu, Haobo Li, Qian Zhang, Xinwei Qiao, Jing Wu

“…Nine ferroptosis-related lncRNAs and the established signature have a certain predictive value for prognosis of COAD patients and can be used as potential research targets for exploring treatment of COAD.…”
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Machine learning-based identification of telomere-related gene signatures for prognosis and immunotherapy response in hepatocellular carcinoma by Zhengmei Lu, Xiaowei Chai, Shibo Li

“…The RS model, derived from TRGs, has been validated for its predictive value in immunotherapy outcomes. In conclusion, this model not only predicted the prognosis of HCC patients but also their immune responses, providing innovative strategies for cancer therapy.…”
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