A multicenter study on rates and risk factors of proliferative vitreoretinopathy in a low-income economy. by Ogugua Ndubuisi Okonkwo, Martha-Mary Udoh, Olukorede Adenuga, Wilson Ovienria, Affiong Ibanga, Dennis Nkanga, Idris Oyekunle, Toyin Akanbi, Chineze Agweye

“…Biodata, presenting complaints, symptom duration, best corrected visual acuity, extent of RRD, status of macular attachment, presence, and grade of PVR and fellow eye were assessed. Data was analyzed using SPSS version 22 (Pearson Chi-Square test, Mann-Whitney U test, Fisher's Exact test, and logistic regression analysis).…”
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The role of dietary diversity and other factors to stunting among infants and toddlers in West Java, Indonesia by Surmita Surmita, Rini Sekartini, Aria Kekalih, Dian Novita Chandra

“…Data were analyzed using IBM SPSS Statistics version 27. Multiple logistic regression with complex sampling analysis was applied to account for survey weighting and ensure representativeness. …”
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Analysis of risk factors related to thyroid function abnormality caused by programmed death-1 inhibitors by Lihong WANG, Huiyang SONG, Shufei ZANG, ling YE, Xuefei DANG

“…Univariate and multivariate logistic regression analyses were performed to identify related factors for TFA development. …”
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Comparison of calcium-phosphorus metabolism between peritoneal dialysis and hemodialysis patients and analysis of influencing factors by CHENG Li, MIN Yong-long, WAN Sheng, HE Da, CHEN Fang, ZHANG Yan-min, XIONG Fei

“…Objective To compare the effects of peritoneal dialysis（PD）and hemodialysis（HD）on calcium-phosphorous metabolism in uremic patients,and to analyze the related influencing factors so as to provide basis and improvement measures for the clinical treatment.Methods The clinical data of PD and HD patients undergoing maintenance PD and HD in our hospital from October 1^st,2018 to October 1^st,2019 were collected and analyzed retrospectively.The serum calcium,phosphorus and intact parathyroid hormone were collected and compared between the patients with PD and HD at 0,3,6 and 12 months of dialysis.Multivariate linear regression was used to analyze the related influencing factors of calcium-phosphorus metabolism abnormality.Results（1）The levels of serum phosphorus at 3（t=-4.044,P<0.001）,6（t=-5.886,P<0.001）and 12（t=-7.808,P<0.001）months of dialysis in the HD group were all higher than those in the PD group.The levels of serum calcium at 6（t=6.521,P<0.001）and 12（t=6.841,P<0.001）moths of dialysis were lower than those in the PD group,and the level of calcium-phosphorus product at 12 months（t=-2.080,P=0.038）was higher than that in the PD group.（2）.After 12 months of dialysis,the compliance rates of serum phosphorus(χ²=4.329,P=0.037),serum calcium(χ²=5.587,P=0.018)and calcium-phosphorus product(χ²=5.750,P=0.016)in the PD group were significantly higher than those in the HD group.（3）The multivariate linear regression analysis of the factors that may influence the calcium-phosphorous metabolism in dialysis patients showed that the dialysis modality（B=-0.287,P=0.005）,age（B=-0.010,P=0.005）,dialysis duration（B=-0.010,P=0.027）,and sodium（Na）（B=-0.026,P=0.033）were the independent influencing factors of the level of serum phosphorus,with negative correlation.Conclusions Compared with HD,the levels of serum phosphorus and calcium can be controlled better by PD.Low age,low dialysis age and low sodium were independent influencing factors of increase blood phosphorus level.…”
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Risk factors for loss to follow-up in patients with gout: A Korean prospective cohort study. by Hyunsue Do, Chang-Nam Son, Hyo Jin Choi, Ji Hyoun Kim, Min Jung Kim, Kichul Shin, Sang-Hyon Kim, Byoongyong Choi, You-Jung Ha, Joong Kyong Ahn, Hyun-Ok Kim, Sung Won Lee, Chang Hoon Lee, Ran Song, Kyeong Min Son, Seung-Geun Lee, Ki Won Moon

“…LTFU was defined as missing a clinic visit for more than a year. Logistic regression was used to determine factors associated with LTFU.…”
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Hospitalization experience and associated factors among Chinese patients with cancer: a cross-sectional study by Wenjuan Gao, Youyou Hu, Huayi Chu, Doudou Yu, Keyi Tang, Xiuwen Chen, Ying Zhu, Jing Han

“…The acquired data were analyzed using the Shapiro-Wilk test, univariate analysis, and multiple linear regression. …”
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The role of iron deficiency and factors associated with anemia during pregnancy in Southeastern Tigray, Ethiopia, 2020. by Tedros Bereket, Freweini Gebrearegay Tela, Gebretsadkan Gebremedhin Gebretsadik, Selemawit Asfaw Beyene

“…The data were entered into Epi data 3.1 and analyzed using SPSS version 25. Candidate variables with a p-value ≤ 0.25 in the bivariate logistic regression were considered to the final model of multivariate logistic regression analysis. …”
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Factors Associated with Problematic Alcohol Consumption among Adults in Putalibazar Municipality of Syangja District, Nepal by Rajeev Nepal, Jyoti Priyanka, Pradip Chhetri, Suruchi Godar, Pratigya Timsina, Saroj Doranga

“…Variables which were found statistically significant at 95% CI (p ≤ 0.05) during bivariate analysis were further analyzed using the logistic regression model in multivariable analysis to identify determinants associated with problematic alcohol consumption among adults. …”
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Risk factors for bloodstream infection and predictors of prognosis in rectal carriers of carbapenem-resistant Klebsiella pneumoniae by Miaomiao Wu, Danhong Yang, Xi Li, Yicheng Huang, Hongying Pan

“…The cohort consisted of 34 patients with BSI (CRKP BSI group) and 133 patients without BSI (No-BSI CRKP group).Logistic regression was employed to identify risk factors for progression from CRKP intestinal colonization to secondary BSI.Cox proportional hazards regression models were used to analyze independent risk factors for 28-day crude mortality from CRKP BSI. …”
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The Factors Affecting the Fertility of Women Undergoing Transcervical Resection of Intrauterine Adhesions: A Retrospective Study by Wenqian Xiong, Xiaohui Hu, Shifu Hu, Yi Liu, Chun Yang

“…General clinical data were collected and analyzed using univariate and multivariable logistic regression analyses. …”
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Evolution of causes of death in maintenance hemodialysis patients and the influencing factors： a single-center study by Ye Zi-ling, Yang Fu-yan, Liu Yu-chen, Lu Xu-ke

“…ObjectiveTo investigate changes in the causes of death among maintenance hemodialysis （MHD） patients over eight years， and to analyze associated risk factors， thus providing theoretical support for reducing the mortality in this population.MethodsClinical data of 636 MHD patients treated in the Xinxiang Hemodialysis Center from January 1， 2016 to December 31， 2023 were retrospectively collected. …”
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Identification of the risk factors for predicting severe acute kidney injury in patients after liver transplantation by Ran Zhou, Huan Wang, Qi Yang, Qi Yang, Lin Han

“…Multivariable logistic regression analysis revealed that gender (female), total bilirubin, serum creatinine, and Simplified Acute Physiology Score II (SAPS II) were independent risk factors for severe AKI in LT patients. …”
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Risk factors of urinary retention after PPH in patients with grade Ⅱ-Ⅳ mixed hemorrhoids by Yan Meiyue, Liu Renghai, Gao Jing, Zhang Huili, Gong Xihao, Huang Siyao

“…Clinical data of all patients were collected, and risk factors for postoperative urinary retention after PPH procedure in patients with grade Ⅱ-Ⅳ mixed hemorrhoids were analyzed by univariate and multivariate Logistic regression analysis. …”
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Prevalence and clinical risk factors of cardiovascular disease in patients with cancer: a cross-sectional study by Cheng Jiang, Yun-Xiang Chen, Qing-Shan Geng, An-Bang Liu

“…Lastly, the clinical risk factors for CVD in patients with cancer were identified by conducting multivariable logistic regression. …”
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Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

“…The purpose of this study was to analyze the factors associated with AVF failure in MHD patients and to establish a nomogram prediction model.Methods Data on end-stage renal disease (ESRD) patients undergoing MHD at our hemodialysis center were retrospectively collected and analyzed. …”
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Factors Associated with Anemia Among Adolescent Girls Aged 10-19 Years in Central Kalimantan by Bellini Simangunsong, Nunik Puspitasari

“…Data (n = 355 adolescent girls) were from secondary data from the data screening for Hb levels in the School Adolescent Girls Health Education program by PT Rimba Makmur Utama. Multiple logistic regression tests analyzed the risk factors (socio-demographic and health characteristics) associated with anemia. …”
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Progression and risk factors of hallux valgus angle in elite adolescent dancers: a cohort study by Zijian Liu, Shuo Chen, Takumi Okunuki, Hiroki Yabiku, Takuma Hoshiba, Toshihiro Maemichi, Yanshu Li, Hanye Zhao, Tsukasa Kumai

“…Foot plantar pressures (kPa) were obtained using the F-Scan measurement system (Tekscan, Tokyo, Japan), and the data were divided into two categories based on the foot location (type 1: hallux, toe, and metatarsophalangeal [MTP] joint area and type 2: medial, middle, and lateral areas). Data were analyzed using the Pearson’s chi-square test and multiple logistic regression. …”
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Prevalence and Factors Associated with Teenage Pregnancy, Northeast Ethiopia, 2017: A Cross-Sectional Study by Yohannes Ayanaw Habitu, Anteneh Yalew, Telake Azale Bisetegn

“…Data were collected using a structured questionnaire, entered, and analyzed appropriately. Odds ratios with 95% confidence interval and P-values were computed using appropriate logistic regression models to determine the presence and strength of associations between the dependent and independent variables. …”
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Distress Tolerance and Factors Affecting It among Nurses Working in the COVID-19 Intensive Care Unit by Mehdi Dehghani Firoozabadi, Sajjad Mirzaee, Afzal Shamsi

“…Conclusion: The distress tolerance of nurses working in the ICU units was low. Factors such as service history and shift work influence their distress tolerance. …”
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Does the impact of open innovation depend on contextual factors? A case of the Korean biopharmaceutical industry. by HyeJoo Wang, Changhyeon Song, Kwangsoo Shin

“…Samples with missing or incorrect information were excluded, and 527 firms were analyzed. Negative binomial regression analysis was performed considering the characteristics of patent performance, which is the dependent variable, and a time lag of one to two years was assumed considering the time required to generate results. …”
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