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Widely Targeted Metabolomics Reveal the Distribution of Metabolites in Shatian Pomelo Fruit
Published 2024-11-01“…The differences in metabolite composition and abundance among different tissues were analyzed using multivariate statistical analysis methods. …”
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622
Development of a novel model for accurate prediction of secondary Candida pneumonia in patients with acute exacerbation of chronic obstructive pulmonary disease
Published 2025-08-01“…Data were treated and analyzed by R language statistical software.ResultsOf the 164 AECOPD patients, 87 were male and 77 were female, with a mean age of 77.28 ± 8.10 years. …”
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623
Association between cardiometabolic index and coronary artery calcification in young and middle-aged adults with coronary heart disease
Published 2025-07-01“…Results A total of 439 patients were analyzed, of whom 128 were classified as having CAC. …”
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624
Abnormal GRHL2 Methylation Confers Malignant Progression to Acute Leukemia
Published 2022-01-01“…We used quantitative real-time polymerase chain reaction (qRT-PCR) for detecting the aberrant expression level of GRHL2 in 60 patients with acute leukemia and 60 normal controls. We analyzed the significant correlation between the expression level of GRHL2 with clinicopathological features and patients’ prognosis in acute leukemia using the corresponding statistical methods. …”
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625
Untargeted plasma metabolite detection in sudden sensorineural hearing loss: identifying key metabolic signatures
Published 2025-07-01“…Metabolite profiling was performed, followed by multivariate statistical analyses, including orthogonal projections to latent structures-discriminant analysis (OPLS-DA) and partial least-squares discriminant analysis (PLS-DA) to find differentially expressed metabolites between the groups.ResultsThe results showed significant differences in the plasma metabolome when comparing each of the four SSNHL types with NC. …”
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626
Comparison of Acute Lobar Nephronia and Acute Pyelonephritis in Children: A Single-Center Clinical Analysis in Southern Taiwan
Published 2015-06-01“…The patients with ALN were febrile for longer after antimicrobial treatment, had more nausea/vomiting symptoms, higher neutrophil count, bandemia, and C-reactive protein (CRP) levels, and lower platelet count (all p < 0.05). In multivariate analysis, initial CRP levels, nausea/vomiting symptoms, and fever duration after admission were independent variables with statistical significance to predict ALN. …”
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627
H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort
Published 2024-11-01“…Then, the association of these clusters with future development of cardiometabolic disease was evaluated using different univariate and multivariate statistical approaches. Moreover, machine learning-based models were built to predict the development of future cardiometabolic disease using BMI and waist-to-hip circumference ratio measures in combination with H-NMR metabolomics. …”
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628
Relationship Between Domestic Animals, Environmental and Behavioral Factors, and Under-Five Diarrhea in Sidama Region, Ethiopia: A Matched Case-Control Study
Published 2025-07-01“…The random forest (RF) method with the classification RF model was used to compare its findings with those of the multivariate conditional regression analysis. The statistical analyses were conducted using R v.4.3.2 software. …”
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629
Factors for Rituximab Refractoriness in AQP4‐IgG+ NMOSD: A Cohort Study
Published 2025-08-01“…Statistical analyses included multivariate analyses of covariance (MANCOVA) and Cox regression to identify independent predictors of treatment failure. …”
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630
Prognostic model of lung adenocarcinoma based on disulfidptosis-related genes and analysis of in vitro cell experiments for PPP1R14B in the model
Published 2025-07-01“…A risk scores model was constructed through univariate Cox analysis, Lasso analysis, and multivariate Cox analysis. ROC curves and nomogram models were drawn to evaluate the risk model. …”
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631
Trends in Heart Transplantation and Outcome Analysis: Nationwide Study Using the National Inpatient Sample and Readmission Database
Published 2025-04-01“…Patient characteristics, mortality rates, and readmission patterns were analyzed using ANOVA and multivariate logistic regression, with statistical significance defined as <i>p</i> < 0.05. …”
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632
Clinical Characteristics and Risk Factors for Severity and Prognosis of Convulsive Status Epilepticus
Published 2025-08-01“…Severity, defined as mSTESS ≥ 4, was observed in 65 patients (62.5%), while poor outcomes, indicated by GOS ≤ 3, were noted in 40 patients (38.5%). Multivariate logistic analysis demonstrated that the duration of CSE had a statistically significant impact on severity (mSTESS ≥ 4) (95% CI, 1.06–2.47; p < 0.05). …”
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633
Evaluation of Key Risk Factors Associated with Postoperative Complications in Colorectal Cancer Surgery
Published 2025-04-01“…Statistical methods included chi-square tests and multivariate logistic regression (significance threshold: <i>p</i> < 0.05). …”
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634
Reduced Incidence of Aortic Dissection in Patients With Type 2 Diabetes Treated With Sodium Glucose Transporter 2 Inhibitors
Published 2025-07-01“…The inverse probability of treatment weighting statistical method was performed, which avoids sample loss due to matching. …”
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635
Prevalence of occupational injuries and associated factors among small scale industry Workers in Harar Town, eastern Ethiopia
Published 2025-02-01“…Data were collected using pretested questionnaires and observational checklists, covering sociodemographic, occupational injuries, occupational health and safety practices, work environment, and behavioral related factors. The data were analyzed via SPSS version 22, and a p value of <0.05 was considered the cut-off point for statistical significance in multivariate analysis.ResultsOut of the 639 small-scale industry workers included in the current study, 634 provided a response, resulting in a 99.2% response rate. …”
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636
Palliative care knowledge and self-efficacy: a comparative study between intensive care units and general units nurses
Published 2024-10-01“…Convenience Sampling method was used. The data were analyzed using SPSS 23. Descriptive statistics (frequency, percentage, mean, and standard deviation) and inferential statistics (independent t-test, Mann-Whitney U test and multivariate stepwise regression) were employed. …”
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637
A nomogram integrating clinical stage and pre-EBV DNA to identify the cycles of induction chemotherapy for locoregionally advanced nasopharyngeal carcinoma
Published 2025-06-01“…Survival outcomes were analyzed using Kaplan-Meier curves, with statistical comparisons performed via the log-rank test. …”
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638
Wasting and short-term outcomes among children with cancer in resource-limited settings: A prospective study in Uganda.
Published 2025-01-01“…<h4>Methods</h4>We assessed the wasting status at diagnosis, diagnostic accuracy of visible wasting, and 6-month outcomes of children newly diagnosed with cancer at the UCI (both ambulatory and hospitalized) between April 2022 and March 2023. Data were analyzed using SPSS version 26. Descriptive, bivariate, multivariate, and survival analyses were performed as appropriate. …”
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639
The predictive value of the preoperative albumin‐to‐fibrinogen ratio for postoperative hospital length of stay in liver cancer patients
Published 2023-10-01“…Methods This retrospective study involved 462 adult HCC patients who underwent partial hepatic lesion excision between February 2016 and August 2022. We analyzed demographic and clinical data, including preoperative blood samples, surgical approach, and LOS. …”
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640
Association Between High-Density Lipoprotein Cholesterol and Length of Hospital Stay in Acute Pancreatitis: A Retrospective Cohort Study
Published 2024-12-01“…Data collection adhered to the STROBE guidelines, and baseline clinical and laboratory variables were analyzed. Statistical analysis comprised univariate and multivariate regression models, Generalized Additive Models (GAM), and stratified linear regression models to assess the relationship between HDL-C and LOS, while accounting for confounding factors.Results: After adjusting for key confounders, including age, sex, BMI, WBC, HB, PLT, CRP, ALT, AMY, TB, GLU, LDL-C, SCR, BUN, ALB, Ca2+, and the presence of comorbidities such as hypertension, gallstones, diabetes mellitus, liver dysfunction, renal insufficiency, smoking and alcohol consumption, the study revealed a nonlinear relationship between HDL-C levels and LOS, with an inflection point at 1.5 mmol/L. …”
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