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3961
Predictive factors of thrombosis during autologous stem cell transplantation in multiple myeloma: Experience from EHU Oran (Algeria)
Published 2022-06-01“…Thepredictive factors studied are: age, co-morbidities, use of IMiDs, use of Granocyte colony stimualing factor in mobilization, the central venous catheter insertion site, cytapheresis count, CD34+ perfused, and finally deep venous thrombosis prophylaxis by a low molecular weight heparin .The statistical analysis focused on a univariate study, followed by a multivariate analysis using binary logistic regression. Results-Among 411 patients with MM underwent autologous transplantation of which 249 were male with a sex ratio of 1,53. …”
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3962
UK multiple sclerosis risk-sharing scheme: a new natural history dataset and an improved Markov model
Published 2014-01-01“…A continuous Markov model with ‘onset age’ as a binary covariate was deemed the most suitable model for future RSS analysis.Conclusions A new untreated MS cohort from British Columbia has been selected and will be modelled using a continuous Markov model with onset age as a baseline covariate. …”
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3963
Assessment of knowledge, attitude and practice (KAP) on oral health among secondary-level students: a cross-sectional study in Kathmandu, Nepal
Published 2024-04-01“…The study used a Chi-square test to examine the association between sociodemographic factors and KAP towards OH. Binary logistic regression was employed to analyse the relationship between dependent and independent variables.Results The study involved participants with an average age of 14.24 years, comprising 56.7% males and 43.3% females. …”
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3964
Application of Logistic Regression and Decision Tree Models in the Prediction of Activities of Daily Living in Patients with Stroke
Published 2022-01-01“…Univariate analysis revealed that compared with the non-SI-ADL group, the SI-ADL group showed a significantly shorter course of stroke, longer hospital stay, and higher rate of receiving occupational and speech therapies (all P<0.05). Binary logistic regression analysis revealed the course of stroke at admission (odds ratio OR=0.986, 95%confidence interval CI=0.979–0.993; P<0.001) and the length of hospital stay (OR=1.030, 95%CI=1.013–1.047; P =0.001) as the independent predictors of SI-ADL. …”
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3965
The predictive value of optic nerve sheath diameter measurement via ultrasound for intracerebral hemorrhage complicated by cerebral-cardiac syndrome
Published 2025-01-01“…Various clinical parameters, including sex, age, electrocardiogram (ECG) findings, myocardial markers, B-type natriuretic peptide (BNP) levels, Glasgow Coma Scale (GCS) score, ONSD, hematoma volume, and midline shift, were assessed. A binary logistic regression model and receiver operating characteristic (ROC) curve analysis were employed to determine the predictive value of each risk factor for ICH complicated by CCS. …”
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3966
Psychological distress and associated factors among healthcare professionals in Ethiopia during the COVID-19 pandemic: a cross-sectional study
Published 2022-07-01“…To determine the predictor variables for depression, anxiety and stress, a binary logistic regression model was fitted. Finally, variables with p value <0.05 in the final model were declared as significantly associated with psychological distress.Result Almost half (49.5) of the participants have psychological distress. …”
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3967
Trends and socioeconomic inequalities of recommended antenatal care services utilization in Ethiopia: A decomposition analysis using Ethiopian nationwide Demographic Health Surveys...
Published 2025-01-01“…<h4>Methods</h4>This study used recent Ethiopian Demographic Health Surveys (EDHS) conducted in 2011, 2016, and 2019. Binary logistic regression model was employed to assess the association between receiving the recommended ANC services and explanatory variables and socioeconomic disparities were estimated through concentration index (CIX) analysis. …”
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3968
Knowledge, Attitude, Practice, and Adherence to Antiretroviral Therapy among People Living with HIV in Nepal
Published 2023-01-01“…The convenience sampling method was employed, and the data were collected through interviews with ART clients using a validated questionnaire. Binary logistic regression was used to identify associated factors. …”
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3969
Development of a compact near-infrared lamp furnace for synchrotron powder diffraction and its application for in situ high-temperature observation of ferrite magnets
Published 2025-12-01“…Moreover, in situ heating observations were utilized to establish a pseudo-binary diagram of the SrFe12O19-Fe2O3 system above 1300 °C, including multiple Sr ferrite magnet phases (M-type SrFe12O19, X-type Sr2Fe30O46, and W-type SrFe18O27). …”
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3970
Examining general, physical, and mental health disparities between transgender and cisgender adults in the U.S.
Published 2025-02-01“…We conducted logistic regression for the binary outcome of self-rated health and quasi-Poisson regression for the number of days reporting poor mental and physical health. …”
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3971
C1q/TNF-Related Protein5 (CTRP5) as a Biomarker to Predict Metabolic Syndrome and Each of Its Components
Published 2018-01-01“…Circulating CTRP5 was found to be correlated negatively with BMI, FAT%, FBG, WHR, SBP, HbA1c, TG, 2-hour blood glucose after glucose overload (2-hOGTT), FIns, and HOMA-IR and positively with HDL-C (P<0.05 or P<0.01). Binary logistic regression revealed that serum CTRP5 levels were associated with MetS. …”
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3972
COVID-19 Vaccine Acceptance Level in Ethiopia: A Systematic Review and Meta-Analysis
Published 2022-01-01“…A systematic multidatabase search for relevant articles was carried out across Google Scholar, Web of Science, Science Direct, Hinari, EMBASE, Boolean operator, and PubMed. Two reviewers independently selected, reviewed, screened, and extracted data by using a Microsoft Excel spreadsheet. …”
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3973
B Lymphocyte—A Prognostic Indicator in Post‐Acute Pancreatitis Diabetes Mellitus
Published 2025-01-01“…Correlations between granulocyte and monocyte surface markers and lymphocyte subsets were analyzed. Binary logistic regression was used to analyze the potential influencing factors of PPDM‐A. …”
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3974
Comparative analysis of deep learning models for crack detection in buildings
Published 2025-01-01“…The dataset of the proposed work contains 24,000 images which are classified through binary classes. These classes are generated for crack and non-crack images. …”
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3975
The Quality of Counseling for Headache OTC Medications in German Community Pharmacies Using a Simulated Patient Approach: Are There Differences between Self-Purchase and Purchase f...
Published 2022-01-01“…There were no significant differences between the two scenarios (Wilcoxon signed-rank test; p=0.495, r = 0.053). In a multivariate binary logistic regression analysis, the counseling level and the different scenarios were not significantly associated (adjusted odds ratio [AOR] = 1.635, 95% CI = 0.673–3.972, p=0.278). …”
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3976
Predictive factors for axillary pathological complete response to neoadjuvant therapy in elderly breast cancer patients
Published 2025-01-01“…Univariate analysis of the clinicopathological parameters and efficacy was performed via the chi-square test or Fisher’s exact test, while multivariate analysis was conducted via binary logistic regression. Results This study included 109 elderly patients with breast cancer, with an overall apCR rate of 46.8%. …”
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3977
The Associations of Platelet Activation and Coagulation Parameters with Obstructive Sleep Apnoea: A Large-Scale Observational Study
Published 2023-01-01“…The relationships between coagulation markers and OSA were evaluated using Pearson’s correlation, binary logistic regression, and restricted cubic spline (RCS) analyses. …”
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3978
Mental health literacy among primary care providers in Hungary: a vignette-based survey
Published 2025-01-01“…Descriptive analyses were used to characterize disorder recognition rates, perceived disorder causes, and treatment referrals. Binary logistic regression analyses were conducted to examine the degree to which demographic characteristics, mental health stigma, and exposure to mental health conditions predict accurate disorder recognition. …”
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Factors associated with the revolving door phenomenon in patients with schizophrenia: results from an acute psychiatric hospital in Romania
Published 2025-01-01“…Male gender (p=0.000), younger age (p<0.05), presence of psychiatric comorbidity (p<0.05), substance use disorder (p=0.000) and alcohol use disorder (p<0.01) were associated with the revolving door patients. A binary linear logistic regression revealed that male gender (OR=1.92, 95%CI:1.21-3.08), shorter hospitalization (OR=0.982, 95%CI:0.964-1.000), substance use disorder (OR=2.47, 95%CI:1.16-5.26), verbal (OR=1.44, 95%CI:1.05-1.98) and physical (OR=1.331, 95%CI:1.017-1.744) aggression were predictive factors for frequent use of inpatient services.ConclusionsThe results may facilitate development of future reform policies aimed at reducing the revolving door phenomenon, including implementing transitional care interventions between hospital and community services.…”
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KNOWLEDGE AND USE OF MODERN CONTRACEPTIVES AMONG MOTHERS OF REPRODUCTIVE AGE IN ENUGU STATE; SOUTHEASTERN NIGERIA
Published 2024-07-01“…This study highlights the need for males to be actively involved in the reproductive health of females and helps to understand the essence of the use of modern contraceptives; this will invariably increase the utilization of modern contraceptives among mothers of reproductive age in Enugu State, Southeastern Nigeria. …”
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