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12701
The efficiency of blood cell counts and inflammatory indices in prediction of need for acute kidney injury in patients with crush syndrome
Published 2025-07-01“…T-Test was applied to compare two independent numerical variables. Receiver operating characteristic (ROC) curve analysis was used to assess the predictive capacity of NLR, PLR, LMR and SIII on AKI, HD and mortality (Area Under the Curve (AUC) > 0.600). …”
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12702
Kinetics of the amino acid uptake tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) in human brain
Published 2025-07-01“…While its high tumoral uptake reflects over-expression of the L-type amino acid transporter (LAT1), there is little knowledge about the kinetics of [18F]FET uptake in healthy brain tissue, owing to the limited PET data in healthy volunteers, and to the requirement of an arterial input function for compartmental analysis. …”
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12703
Evaluating the accuracy of the Ophthalmologist Robot for multiple blindness-causing eye diseases: a multicentre, prospective study protocol
Published 2024-03-01“…The primary objective is to evaluate the accuracy of ophthalmologists’ screening for multiple blindness-causing eye diseases using device images through receiver operating characteristic curve analysis. The targeted diseases include keratitis, corneal scar, cataract, diabetic retinopathy, age-related macular degeneration, glaucomatous optic neuropathy and pathological myopia. …”
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12704
Does T1c–2N0–1M0 triple negative breast cancer derive a benefit from neoadjuvant chemotherapy?
Published 2024-12-01“…Methods For this propensity-matched analysis, we used data from Surveillance, Epidemiology, and End Results (SEER) database. …”
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12705
X-ray endovascular surgery for in-hospital acute ischemic stroke
Published 2024-05-01“…Neurological defiCIT was determined by NIHSS scale, thrombectomy efficacy was evaluated by the degree of cerebral revascularization by mTICI scale, functional outcome was determined by Rankin scale (mRS). Multivariate analysis with evaluation of clinical and laboratory, neuroimaging data, and analysis of surgical technique was performed to identify factors contributing to adverse stroke outcome.RESULTS. …”
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12706
Comprehensive investigation of rooftop photovoltaic power plants with monocrystalline polycrystalline and thin-film technologies for exergy economic and environmental assessments
Published 2025-05-01“…This study is based on the performance data obtained over four years of energy production under the weather conditions of Kuala Lumpur, Malaysia. …”
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12707
The role of civil society organisations in initiating an anti-corruption policy in Serbia
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12708
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12709
Diagnostic Performance of SPECT in Patients with Coronary Microcirculation Disturbance after PCI
Published 2025-03-01“…With IMR as the gold standard, a receiver operating characteristic (ROC) curve was plotted for CFR in diagnosing CMD, and the area under the ROC curve (AUC) was calculated. …”
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12710
The Association Between Uric Acid and Symmetric Dimethylarginine Levels in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis
Published 2022-09-01“…However, in CAPD population, there are still conflicting data on the mechanism of increased risks related to uric acid levels. …”
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12711
Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities
Published 2024-11-01“…The results identified age and SIRI as independent risk factors for bone abnormalities in non-diabetic elderly populations, while PIV served as an independent protective factor. Receiver operating characteristic analysis demonstrated that SIRI and PIV predicted osteoporosis with areas under the curve (AUC) of 0.609 and 0.620, respectively. …”
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12712
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12713
Independent risk and protective factors for oxaliplatin-induced hypersensitivity reactions: a retrospective study
Published 2025-07-01“…The area under the receiver operating characteristic (ROC) curve was 0.82 (P < 0.001, 95% CI = 0.75–0.89). …”
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12714
Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration
Published 2025-12-01“…Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers.Materials and methods In this study, we downloaded mRNA expression profiles of HCC from the GEO database and used random forest and machine learning algorithms, such as least absolute shrinkage and selection operator, to screen for reliable diagnostic genes. …”
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12715
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12716
Association between platelet to lymphocyte ratio and febrile urinary tract infection after double-J stent removal in children underwent laparoscopic pyeloplasty
Published 2025-05-01“…The univariate and multivariate logistic analysis were conducted to determine the potential risk factors of fUTI after DJ stent removal. …”
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12717
Intratumoral and peritumoral multiparametric MRI-based radiomics nomogram for preoperative risk stratification in patients with endometrial cancer
Published 2025-08-01“…Feature selection was carried out via univariate analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate logistic regression. …”
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12718
Development and validation of a nomogram for predicting postoperative recurrent lumbar disc herniation after unilateral biportal endoscopic discectomy
Published 2025-07-01“…This is a retrospective study based on the data from all patients who underwent UBED for lumbar disc herniation in Zhoukou Central Hospital between September 2021 and December 2023. …”
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12719
Novel models by machine learning to predict the risk of cardiac disease-specific death in young patients with breast cancer
Published 2024-12-01“…Prediction performance was assessed using the receiver operating characteristic (ROC) analysis, area under the POC curve (AUC) values, calibration curves, decision curves, and confusion matrix, and SHapley Additive exPlanations (SHAP) were used to interpret the models. …”
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12720
Critical review of OCT in clinical practice for the assessment of oral lesions
Published 2025-05-01“…In addition, there is significant heterogeneity in the methodologies used to interpret OCT data, which is strictly operator dependent and may affect standardization and reproducibility of results. …”
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