COMPARISON OF SURVIVAL ANALYSIS USING ACCELERATED FAILURE TIME MODEL AND COX MODEL FOR RECIDIVIST CASE by Nuraziza Arfan, Asrul Irfanullah, Muhammad Rozzaq Hamidi, Utriweni Mukhaiyar

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Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

“…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
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Analysis of the long-term prognosis and the influencing factors of the patients with renal damage in Sjgren syndrome by BAI Li-jie, LI Hong-bin

“…Objective To analyze the long-term prognosis and influencing factors of renal involvement in Sjgren syndrome(RISS).Methods A total of 104 patients with RISS in Department of Nephrology in our hospital from January 2005 to January 2010 were selected as the research objects,and all wer given immunosuppressive agents.To assess whether doubled blood creatinine as standard can accurately evaluate the long-term prognosis of the patients,good prognosis group and poor prognosis group were set up,and the influencing factors were analyzed.Results During the follow-up period of 2-10 years,the incidence of poor prognosis was 18.27%.Univariate analysis showed that the poor prognosis of RISS was associated with female,serum creatinine,globulin,albumin,serum IgG,chronic renal tubulointerstitial lesions.Multiple Logistic regression revealed that globulin,albumin and serum IgG were the independent risk factors for poor prognosis of RISS.Pearson correlation analysis indicated that globulin,albumin and serum IgG levels were positively correlated with serum creatinine level(P<0.05).ROC curve analysis demonstrated that the optimal cutoff of globulin to predict renal damage was 0.66g/24h(AUC=0.825,sensitivity 0.826,specificity 0.764),that of albumin was54.36g/24h(AUC=0.845,sensitivity 0.816,specificity 0.762),and that of IgG was 34.72g/L(AUC=0.812,sensitivity 0.806,specificity 0.752).Conclusions The globulin,albumin and serum IgG are positively correlated with the incidence of poor prognosis,suggesting that globulin,albumin and serum IgG are of early assessment value for poor prognosis in RISS.…”
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AN EMPIRICAL ANALYSIS OF THE IMPACT OF ECONOMIC AND NON-ECONOMIC FACTORS OF CAPITAL FLIGHT: AN EXAMPLE OF THE ECONOMETRIC MODEL by E. I. Markovskaya, A. V. Belov

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Bayesian network analysis of individual-level factors associated with bullying among high school students by Yanmei Feng, Xinyu Luo, Xinrui Li, Yilin Liu, Yong Zeng

“…Methods A cross-sectional survey with a structured questionnaire was administered to 1,401 high school students in Yunnan Province to assess their levels of stress, core self-evaluations, dual mode of self-control, depressive symptoms, and bullying experiences. The data were analyzed using chi-square tests, multifactor logistic regression, and Bayesian network models. …”
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Latent profile analysis of nutrition knowledge, attitudes, and practices and their influencing factors in maintenance hemodialysis patients by Yuan Xu, Zihan Chen, Xinlong Tang, Xiaojie Xia, Nina Zhao, Sen Zou

“…Chi-square tests and multivariate logistic regression were used to analyze the distribution differences and influencing factors among different KAP categories. …”
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Analysis of latent class and influencing factors of medication adherence in elderly patients with multiple chronic conditions by Zhang Meiru, Ma Lina, Yang Shenshen, Wang Ning, Wang Weihua

“…Multiple logistic regression model was used to analyze the influencing factors of the potential category. …”
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Chinese nurses’ ability to communicate bad news: a latent profile analysis and influencing factors by Yao Li, Xue Dong, Zezhou Wang, Zhen Yang, Xutong Zheng, Xiujie Jiang, Yan Liu, Aiping Wang

“…Abstract Aim To investigate the current status of the ability to communicate bad news through latent profile analysis (LPA), identify potential subgroups and their population characteristics, and analyze the influencing factors of different categories. …”
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Does the human developmental factors of the parents sustain the learning quality of the undergraduates? - A critical Analysis by Aditya Prakash, R. Hariharan, Gynendra Kumar Rout

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Fetal outcomes and associated factors of antepartum hemorrhage in Ethiopia: A systematic review and meta-analysis. by Gemeda Wakgari Kitil, Adamu Ambachew Shibabaw, Eyob Getachew, Amlaku Nigusie Yirsaw, Berihun Agegn Mengistie, Gebeyehu Lakew, Gebrehiwot Berie Mekonnen, Solomon Seyife Alemu, Firomsa Bekele, Lema Fikadu Wedajo, Addisalem Workie Demsash, Wubishet Gezimu, Mohammedamin Hajure Jarso, Geleta Nenko Dube, Fikadu Wake Butta, Alex Ayenew Chereka

“…Despite the gravity of this condition, there is a lack of synthesized evidence on its prevalence and the associated risk factors specific to the Ethiopian context. This systematic review and meta-analysis aim to consolidate existing research on the fetal outcomes of APH and identify the key factors contributing to its incidence and severity in Ethiopia.…”
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ANALYSIS OF FACTORS ASSOCIATED WITH PUBLIC CONFIDENCE IN VACCINATION AGAINST VIRAL HEPATITIS B IN ARKHANGELSK REGION by T. V. Balaeva, E. A. Krieger, O. V. Samodova, A. M. Grjibovski

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Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis by Ismat Ara Begum, A. S. M. Sanwar Hosen, Deepak Ghimire, Mi Jin Park

“…<b>Methods:</b> A retrospective analysis was conducted on a dataset of 539 participants to determine the optimal ranges of these factors associated with an increased likelihood of PCOS diagnosis. …”
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China’s colorectal cancer burden and dietary risk factors: a temporal analysis (1990–2021) by Qin Sun, Qin Sun, Dengjun Bi, Dengjun Bi, Yueshan Pang, Jiebin Xie, Jiebin Xie

“…This study systematically assessed China’s CRC disease burden (1990–2021) and temporal trends in diet-related risk factors via GBD 2021 data to inform precision prevention.MethodsGBD 2021 data were used to analyze age/sex differences in the incidence, prevalence, mortality, disability-adjusted life years (DALYs) and diet-related risk factors for CRC. …”
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Epidemiology of Skin Diseases in Poland: Analysis of Prevalence and Risk Factors: A Cross-Sectional Study by Anna Kubrak, Anna Zimny-Zając, Sebastian Makuch, Łukasz Pawelec, Beata Jankowska-Polańska, Wojciech Tański, Jacek C. Szepietowski, Siddarth Agrawal

“…The prevalence of these conditions was assessed, and statistical analysis, including logistic regression, was used to evaluate associations with demographic and socioeconomic factors (age, gender, education level, and urbanization). …”
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Mathematical modeling of technological parameters of laser powder surfacing based on approximation of the deposition track profile by Mikhail E. Soloviev, Denis V. Malyshev, Sergey L. Baldaev, Lev Kh. Baldaev

“…To approximate the curves of the section contours, methods of linear and nonlinear regression analysis were used. The dependence of the parameters of the profile contours of the surfacing section on the technological parameters of the spraying was represented by a two-factor parabolic regression equation. …”
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Prognostic Factors and Clinical Characteristics in Pediatric Sudden Sensorineural Hearing Loss: A Retrospective Analysis by Ranshi Zhao, Maoling Huang, Cheng Zhong

“…Data on age, tinnitus presence, audiogram types, and initial hearing thresholds were analyzed using SPSS 25.0. Univariate and multivariate logistic regressions were performed to identify significant prognostic factors. …”
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Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…Based on the construction of a binary logistic regression, it was found that the factors increasing hospital mortality were cardiogenic shock (CS): odds ratio (OR) 47.55; 4.00-589.16; p=0.002; new-onset atrial fibrillation: OR 6.45; 1.39-30.42; p=0.018; and the number of points on the GRACE scale: for each increase by 1 point: OR 1.03; 1,00-1,05; p=0.046. …”
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Tuberculosis/HIV co-infection in Northeastern Brazil: Prevalence trends, spatial distribution, and associated factors by Livia Fernanda Siqueira Santos, Paulo Henrique Vilarino Carneiro, Maria Aparecida Alves de Oliveira Serra, Leonardo Hunaldo dos Santos, Hamilton Leandro Pinto de Andrade, Livia Maia Pascoal, Ana Cristina Pereira de Jesus Costa, Floriacy Stabnow Santos, Giana Gislanne da Silva de Sousa, Iolanda Graepp Fontoura, Jaisane Santos Melo Lobato, Cláudia Regina de Andrade Arrais Rosa, Laise Sousa Siqueira, Ricardo Alexandre Arcêncio, Mellina Yamamura, Marcelino Santos Neto

“…The prevalence rates were determined for each year and the average for the period. Prais-Winsten regressions were used for temporal variation analysis, scanning techniques were used to detect spatial clusters, and the Poisson regression model was used to explore the factors associated with the outcome. …”
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Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression by Ye Zhang, Li Yang, Zeyuan Chen

“…Conclusion Quantile regression offers a valuable complement in analyzing factors associated with utility scores among Chinese dialysis patients. …”
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The correlation between serum fibroblast growth factor 19 and vascular calcification in maintenance hemodialysis patients by Yao Dan-dan, Ji Yun-long, Xue Qi, Qiu Fang-xin, Li Zuo-lin

“…Then， the correlation of FGF19 with serum phosphorus， and intact parathyroid hormone （iPTH） was studied. Further more， risk factor for vascular calcification development was performed using Logistic regression analysis.ResultsCompared with the non-vascular calcification group， the age （67.3 years <italic>vs. …”
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