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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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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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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Risk factors for nutritional status determination and indications for preventive nutrition therapy in hospitalized gastroenterological patients by Roganović Branka, Perić Saša, Tarabar Dino

“…The presence of general complications and severe disease activity were considered as primary risk factors, whereas malignant disease, age above 71, hepato-billiary tract involvement, hospitalization longer than 14 days, and mobility worsening were considered as secondary risk factors. The best predictive value for the NSW was proved for the RSNSW ≥ 6. …”
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Liquid biopsy for minimal residual disease and monitoring in early-stage non-small cell lung cancer: current clinical utility and implementation challenges by Yoshiharu Sato

“…Ongoing efforts to establish consensus thresholds, filter clonal hematopoiesis, and validate predictive value in large-scale trials are essential for routine adoption. …”
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Evaluation of the Relationship Between Systemic Immune-Inflammatory Index and Morning Blood Pressure Surge in Newly Diagnosed Essential Hypertension Patients by Muhammet Salih Ateş, Fikret Keleş

“…Statistical analysis included ROC curve analysis to evaluate SII's predictive value for MBPS. Results: Hypertensive patients exhibited significantly higher 24-hour, daytime, and nighttime systolic and diastolic blood pressure values compared to controls (all p<0.001). …”
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ADHERENCE TO LONG-TERM TREATMENT OF CARDIOVASCULAR DISEASE AND NON-COMPLIANCE WITH MEDICAL RECOMMENDATIONS: THE OPINION OF PATIENTS AND PHYSICIANS BY THE RESULTS OF FOC... by O. N. Semenova, E. A. Naumova, Yu. G. Schwartz

“…This "division" on the one hand may have some predictive value in respect of patients’ adherence to a further treatment, and on the other hand, the "doctors’ prejudice" in relation to the patient may adversely effect the behavior of the patients and failure to follow the recommendations in the future.Conclusion. …”
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From framework to functionality: A cross-country analysis of PISA 2018 reading assessment framework’s item features as determinants of item difficulty by Kseniia Marcq, Johan Braeken

“…However, the construct-irrelevant ‘Item Format’ alone has half the predictive value of all construct-relevant features combined (10%), implying that external factors may unduly influence student outcomes. …”
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Prediction of postoperative recurrence of perianal fistulizing Crohn’s disease by fecal calprotectin combined with serum miRNA6086 by Shengnan Jin, Maozhen Zhang, Dongdong Gu, Xingping Zhu, Zuolei Wang, Xuerong Shi, Yanping Hao, Su Xu

“…Objectives This study aimed to identify risk factors for postoperative recurrence in patients with perianal fistulizing Crohn’s disease and assess the predictive value of fecal calprotectin and serum miRNA6086. …”
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Serum S100A12 in the clinical diagnosis of sepsis-induced myocardial dysfunction: an integrated bioinformatics and clinical data analysis by Fang Wu, Helin Hong, Ye Tian, Xiaoyan Wang

“…Logistic regression identified S100A12 as an independent risk factor for SIMD.ConclusionAs an inflammatory biomarker, S100A12 has independent predictive value, and its combination with cardiac enzymes enables the development of an efficient clinical warning model. …”
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Identification of hub six interferon alpha response genes and immune cell infiltration characteristics in low-grade glioma by Xue Zhang, Shuo Song, Defen Zhou, Hanwei Cui, Jiangan Xie

“…We further validated these findings using external datasets and provided additional evidence supporting the predictive value of signature genes associated with IRGs in LGG through immunohistochemical testing on clinical samples and in vitro experiments. …”
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The influence of obesity on IOS parameters in asthma, COPD, and other lung diseases: analyzed by random forest by Thomas Ringbaek, Lars Froelund, Jann Mortensen, Henrik H. El Ali

“…These IOS features demonstrated high predictive value in BMI-related outcomes, suggesting they capture airway impairments tied to obesity beyond conventional respiratory diagnoses. …”
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Role of Pulse Oximetry Screening for Detection of Life Threatening Congenital Heart Detects in Newborn by Aso Faeq Salih, Adnan Mohammed Hamawand, Riyadh Abd Aljabbar Sattar

“…Sensitivity, specificity, positive and negative predictive value for POS in detection of major CHD were 80%, 97.29%, 17.9% and 99.80%, respectively. …”
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Tissue engineering in animal models for urinary diversion: a systematic review. by Marije Sloff, Rob de Vries, Paul Geutjes, Joanna IntHout, Merel Ritskes-Hoitinga, Egbert Oosterwijk, Wout Feitz

“…In conclusion, animal models in the field of TERM for urinary diversion have probably been chosen for reasons other than their predictive value. Controlled and comparative long term animal studies, with adequate methodological reporting are needed to proceed to clinical translatable studies. …”
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Analysis of risk factors for early neurological deterioration after intravenous thrombolysis in patients with acute ischemic stroke by Jungang Fang, Hui Sun, Xinyu Lu

“…A nomogram was constructed to generate the ROC curve, and the AUC value was 0.809 (95% CI, 0.732–0.885).ConclusionThis nomogram, which demonstrates good discrimination and high predictive value, identifies NIHSS score immediately after thrombolysis, TOAST classification of large artery atherosclerosis, and a history of diabetes as independent risk factors for early neurological deterioration (END) in acute ischemic stroke (AIS) patients receiving intravenous thrombolysis.…”
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Relationship between neutrophil/lymphocyte ratio and left ventricular hypertrophy in maintenance hemodialysis patients by LI Lei, CAO Fang, LENG Yan-fei

“…Objective To detect the neutrophil/lymphocyte ratio levels in maintenance hemodialysis(MHD)patients,and investigate their relationship with left ventricular hypertrophy(LVH).Methods A total of 96 patients undergoing MHD in Department of Nephrology of the First Hospital of Liangshan Prefecture from January 2018 to August 2019 were selected and divided into the high NLR group(NLR>3.31,n=47)and the low NLR group(NLR≤3.31,n=49).Baseline data,echocardiographic indexes [left atrial end-diastolic diameter(LAEDd),left ventricular end-systolic diameter(LVEDs),ejection fraction(EF),left ventricular mass index(LVMI)],laboratory indexes [NLR,brain natriuretic peptide(BNP),hemoglobin(HB),albumin(Alb),calcium)],blood lipid levels were compared to calculate the LVH incidence.All the patients were divided into LVH group and non LVH group according to whether LVH occurred or not.The high risk factors of LVH were analyzed by multivariate analysis,and the predictive value of NLR to LVH was analyzed by ROC curve.Results NLR was positively correlated with SBP,LAEDd,LVEDs,LVMI,NLR,BNP,Alb,LDL-C,Cholesterol,non-HDL-C,and Cr(P<0.05),and negatively correlated with DBP(P<0.05).The color Doppler ultrasonography indicated that the incidence of LVH in the high NLR group was higher than that in the low NLR group.Age,SBP,LAEDd,LVEDs,LVMI,NLR,BNP,Alb,LDL-C,TC,non-HDL-C,Cr were risk factors for LVH(P<0.05).The relative oddratio(OR)of NLR was the largest.NLR was a predictor of LVH(P<0.05).Conclusions NLR value is closely related to the occurrence and progression of LVH in MHD patients,so the monitoring of the NLR changes has significant value in the prevention and treatment of LVH.…”
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Emotional intelligence and academic achievement. A study among university students from public administration programs by NICA Elvira, SABIE Oana-Matilda

“…At the level of Romania, there is no study with predictive value regarding the “impact of emotional intelligence on students’ academic achievements” supported by empirical research. …”
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Clinical value of mean platelet volume/lymphocyte ratio and degree of coronary artery disease in patients with chronic kidney disease by Li Ying-bin, Li Sheng-kai

“…ObjectiveTo investigate the relationship between mean platelet volume to lymphocyte ratio （MPVLR） and the degree of coronary artery disease in patients with chronic kidney disease （CKD） and its clinical significance.MethodsThe clinical data of 111 patients with chronic kidney disease diagnosed by coronary angiography in our affiliated hospital in recent 6 years were analyzed retrospectively.The Gensini scoring was used to assess the severity of coronary artery disease.The data were divided into three groups： group A （mild，29 cases） had 0-30 points；Group B （moderate，23 cases） had 31-60 points，and group C （severe，59 cases） had &gt;60 points.First，the related factors affecting coronary artery disease were analyzed by univariate analysis.On this basis，the risk factors and protective factors were determined by Logistic regression analysis.Finally，the predictive value was determined by ROC curve.ResultsUnivariate analysis showed that there was no significant difference in general data among the 3 groups （<italic>P</italic>&gt;0.05），but there were significant differences in laboratory indicators such as albumin，uric acid，high density lipoprotein cholesterol （HDL-C） and MPVLR （<italic>P</italic>&lt;0.05）.High MPVLR level was an independent risk factor for high Gensini integration （<italic>OR</italic>=1.115，95%<italic>CI</italic> 1.009-1.239，<italic>P</italic>=0.047），and HDL-C was a protective factor.ConclusionsIn patients with chronic kidney disease，high MPVLR is an independent risk factor for the severity of coronary artery disease，and has the application value in predicting the severity of coronary artery disease.…”
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Promoting sustainable disposal behaviour of unused medicines: Exploring the barriers and drivers using the COM-B model by Joris Galama, Bianca Harms

“…Specifically, psychological capability and physical opportunity were significant positive predictors of correct disposal behaviour, whereas social opportunity, reflective motivation, and automatic motivation did not show significant predictive value. These findings offer valuable insights for developing interventions that contribute to correct disposal practices.…”
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