Risk factors and clinical risk stratification of distant metastasis in early-stage lung cancer in never smokers by Dongsheng Wu, Xiaohu Hao, Zhipeng Gong, Ruichen Cui, Liang Xia, Lunxu Liu

“…Multivariable Cox regression analysis revealed that independent risk factors included advanced pathological T and N stages, higher consolidation-to-tumor ratio, and histologic subtype, particularly solid/micropapillary predominant adenocarcinoma. …”
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Associations between demographic and disease related factors and anxiety and depression among adolescents with chronic kidney disease by Changchang Bai, Changchang Bai, Mingjie Wei, Shuli Huang, Junmei Fu, Guigui Ning, Wensheng Zhai

“…A general information questionnaire, anxiety self-assessment scale, and depression self-assessment scale were used. Factors associated with anxiety and depression were analyzed using univariate analysis, and significant variables underwent multinomial logistic regression.ResultsAmong the 105 adolescents, 11 cases (10.5%) had anxiety alone, 6 cases (5.7%) had depression alone, and 26 cases (24.8%) presented both anxiety and depression. …”
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A cross-sectional observational study of the association between biochemistry profiles and the risk of age-related macular degeneration by Shuwei Bai, Lei Zhang, Weiming Yan, Haiyan Wang

“…Multivariable logistic regression, adjusted for age and demographic factors, showed no significant associations between the AMD risk and the levets of specific biochemical parameters (P > 0.05). …”
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Factors related to Post Traumatic Stress Symptoms in Indonesian adults during quarantine of the COVID-19 pandemic by Nadya Nathalia Evangelista, Felix Wijovi, Sisilia Orlin, Stella Angelina, Devina Adella Halim, Claudia Jodhinata, Audrey Hamdoyo, Darien Alfa Cipta, Andree Kurniawan, Nata Pratama Hardjo Lugito

“…Conclusion: Age was related to the IES-R score, while the other five independent variables included in the linear regression analysis were found to be confounders in this study. …”
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Radiographic evaluation of orodental anomalies in a Thai population: prevalence, supernumerary teeth characteristics, and associated factors by Anmol Fayez Anny, Kausar Sadia Fakhruddin, Rocharles Fontenele, Thantrira Porntaveetus

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Characteristics and influencing factors of red blood cell distribution width in peritoneal dialysis patients of different ages by ZHANG Qi, CAO Xue-ying, ZHOU Jian-hui, HUANG Jing, CAI Guang-yan, CHEN Xiang-mei

“…Objective Red blood cell distribution width(RDW) has been proven to be an independent predictor of mortality in chronic hemodialysis patients.This study aimed to explore the characteristics and influencing factors of the RDW in peritoneal dialysis patients.Methods The study enrolled 103 uremic patients on CAPD.Patients were categorized into three groups according to their age(patients in group 1 were under the age of 40;group 2:aged between 40 and 59;group 3:aged above60).The differences of clinical parameters among three groups were analyzed,and the influence of age and gender on RDW was analyze by multiple linear regression.Results The proportion of subjects with RDW value above 14.6%in female gender was higher than in male gender on the baseline,one month and three months after peritoneal dialysis(13.5%,15.4%,17.3%vs.9.8%,7.8%,13.7%).The baseline RDW of the group 3 was significantly higher than that of the other groups.Age was positively associated with the RDW on the baseline and one month after dialysis.The multiple linear regression analysis revealed that after the corresponding BMI adjusted,the baseline RDW was associated with female gender(β= 0.025,P<0.001,95%CI:0.001- 0.953) and increasing age(β= 0.025,P<0.001,95%CI 0.010- 0.040),and RDW at one month after dialysis was related to the increasing age(β= 0.015,P<0.05,95%CI 0.001- 0.029).After making further adjustments of hemoglobin,albumin and eGFR(or residual renal GFR),increasing age remained associated with RDW on the baseline(β= 0.027,P<0.001,95%CI 0.011- 0.042) and one month after dialysis(β=0.017,P<0.05,95%CI 0.003-0.031).Conclusions The influencing factors of RDW,and its mechanism of predicting dialysis patients’ prognosis are not clear.This study found that the elevated RDW was associated with age,which provides a new insight to improve the prognosis of the elderly patients in peritoneal dialysis.…”
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Clinical nurses’ evidence-based healthcare competence and associated factors: a regional cross-sectional study by Shuang Wang, Jin Liang, Xishun Zhang, Xia Xiang, Liqin Song, Xiaofen Wu, Lin Xiao, Zhihui Yang, Yuanyuan Luo, Qianying Huang, Xiaoxue Wei, Ning Wang, Lili Zhang

“…All the collected data were analyzed descriptively, and independent samples t-test, adjusted t-test, one-way ANOVA, Welch ANOVA, Pearson’s correlation test, and multiple linear regression were employed to explore the associated factors. …”
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Reproductive choices, mobile technology and social media: insights from Nigerian women’s family planning experiences by Idowu O. Ayodeji, Tosin O. Oni, Oladimeji Ogunoye

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Optimized Phosphorus Application Enhances Canopy Photothermal Responses, Phosphorus Accumulation, and Yield in Summer Maize by Qirui Yang, Huiyu Zhang, Xiao Zhang, Sainan Geng, Yinjie Zhang, Yuhong Miao, Lantao Li, Yilun Wang

“…P application significantly lowered canopy temperature and leaf ACP activity while significantly increasing the SPAD value and FPAR at 90 kg·P₂O₅·ha⁻¹. Logistic regression analysis of P accumulation revealed that increasing P rates enhanced the maximum (<i>V</i>_max) and mean (<i>V</i>_mean) accumulation rates, as well as the total P accumulation. …”
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Factors Determining Bone Mineral Density in Patients with Biliary Atresia after a Successful Kasai Operation by Ming-Huei Chen, Jiaan-Der Wang, Chia-Man Chou, Chieh-Chung Lin

“…Instead of T helper 1 cell cytokine, interleukin (IL)-4 had a significant negative correlation with BMD of the right femoral neck (β = −0.251, p = 0.027) and left femoral neck (β = −0.299, p = 0.012) independently by multiple linear regression analysis. Conclusion: We conclude that chronic inflammation with increased expression of IL-4 may be an important factor for compromised bone health in patients with biliary atresia.…”
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Clinical features and risk factors for Epstein-Barr virus-associated encephalitis: a retrospective cohort study by Zhu Liu, Anjiao Peng, Luyan Huang, Leihao Sha, Yusha Tang, Yongzhao Zhou, Lei Chen

“…Additionally, univariate logistic regression analysis revealed that age (OR = 1.015, 95% CI: 1.002–1.029), HIV infection (OR = 4.285, 95% CI: 1.582–11.816), non-tumor immunosuppression (OR = 5.713, 95% CI: 1.588–22.883), and peripheral blood EBV infection (OR = 10.204, 95% CI: 4.231–26.346) were independent risk factors for CNS EBV infection. …”
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Clinicopathological features and renal dysfunction risk factors of IgA nephropathy patients presenting with mild proteinuria by LIU Jie, YANG Ding-ping

“…Objective To analyze the clinical and pathological features of Ig A nephropathy patients presenting with mild proteinuria and to describe risk factors associated with kidney injury. …”
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Risk factors for minimal change nephrotic syndrome complicated by acute kidney injury in adults and their impact on prognosis by YU Yahuan, WANG Huifang, JIANG Chunhui, LI Xianyi, SUN Yuetong, LIU Xuemei

“…The clinical features of adult patients with MCNS complicated by AKI were analyzed, and the logistic regression model was used to identify the risk factors for AKI in adult patients with primary MCNS. …”
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Prevalence and associated factors of emotional and behavioral problems in Indonesian early adolescents: A cross-sectional study by Ririn Isma Sundari, Mei Neni Sitaresmi, Lely Lusmilasari

“…Multivariate logistic regression analysis revealed that adolescents with an eveningness chronotype were significantly more likely to experience EBPs (OR = 21.11, 95% CI: 5.82–76.63, p <0.001). …”
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Decentration following small incision lenticule extraction (SMILE) in eyes with high myopia and its influence factors by Hui-Ni Lin, Hongqiang Zeng, Ruifeng Ji, Jinyu Li, Riping Zhang, Lixia Sun

“…Purpose: The purpose is to measure the decentration after small incision lenticule extraction (SMILE) in eyes with high myopia and analyze its influence factors. Methods: This retrospective study included 86 right eyes of 86 high myopia patients who underwent SMILE surgery in our hospital from August 2017 to December 2019. …”
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IPO Underpricing Factors: Technology and Non-Technology Sectors in Terms of Information Asymmetry and Retention of Control Theories by A. A. Galich, A. G. Mirzoyan

“…At the same time, in the non-technology sector, the predictive power of regression models was significantly lower, which indicates the need for further search and analysis of additional factors affecting the undervaluation of shares in this sector. …”
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Diagnostic model for COPD patients with nocardia infection: a study based on clinical features and risk factors by Kai Zhang, Kangli Yang, Hongmin Wang

“…Model performance was assessed via concordance index (C-index), calibration curves, and ROC analysis. Results: Independent risk factors included hemoptysis (OR = 1.99, 95% CI: 0.76–5.26), lymphocyte count (OR = 6.81, 95% CI: 4.06–11.42), hemoglobin (OR = 1.01, 95% CI: 0.99–1.03), and pulmonary function parameters (FEV₁/FVC ratio OR = 12.47, 95% CI: 1.25–124.16). …”
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Risk factors for pupil changes in patients with diabetic retinopathy and cataract after phacoemulsification with intraocular lens implantation by Guilan Yi, Hai Yu

“…Multivariate logistic regression analysis revealed that a longer duration of diabetes (OR = 2.73; 95% CI: 1.02–7.27, P = 0.045), higher lens nucleus grade (OR = 3.95; 95% CI: 1.58–9.89, P = 0.003), greater severity of DR (OR = 3.60; 95% CI: 1.40–9.28, P = 0.008), and intraoperative posterior lens capsule rupture (OR = 6.41; 95% CI: 1.75–23.47, P = 0.005) were significant risk factors for postoperative pupillary changes in DR patients undergoing PHACO + IOL. …”
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Factors associated with beliefs and implementation of evidence-based practice among nurses: a cross-sectional study by Manisha Mehra, C. Bellson Raj, Rimple Sharma, Anuj Singh, Surya Kant Tiwari

“…Descriptive statistics, cluster analysis, correlation analysis, analysis of variance, and multiple regression were used to analyze data. …”
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Examining the competence status of nurses in evidence-based practices and the influencing factors: a multicenter study in Turkey by Gülistan Yurdagül

“…The data were analyzed using number, percentage, standard deviation, minimum, maximum, one-way analysis of variance (ANOVA), Tukey’s test to test which group the significance originated from, Student’s t-test and multiple regression tests. …”
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