Analysis of factors influencing chemotherapy-induced peripheral neuropathy in breast cancer patients using a random forest model by Huiqian Xu, Hong Li, Yijing Fan, Yaqi Wang, Zeyuan Li, Lizhi Zhou, Xijun Hao

“…Results: Lasso-logistic regression analysis identified age, BMI, cumulative chemotherapy dose, hypertension, physical activity level, and depression as significant factors associated with CIPN (P < 0.05). …”
Get full text

Risk Factors for Postoperative Intra-Abdominal Abscess in Pediatric Perforated Appendicitis Following Laparoscopic Appendectomy: A Multicenter Analysis by Joonhyuk Son, Ji-Won Han, Chaeyoun Oh

“…Data on patient demographics, preoperative clinical characteristics, and surgical details were collected. Independent risk factors for IAA formation were determined using logistic regression analysis. …”
Get full text

Risk factors for mortality in children with moderate-to-severe ARDS with concurrent hematological or immune-related diseases: a retrospective analysis by Qingyue Wang, Hongxing Dang, Yueqiang Fu, Chengjun Liu, Jing Li, Feng Xu

“…Univariate logistic regression and multivariate Firth regression analysis were used to identify risk factors for mortality in children with moderate-to-severe ARDS with concurrent hematological or immune-related diseases. …”
Get full text

Multilevel Analysis of Individual and Community Level Factors Associated with Institutional Delivery in Ethiopia, 2016 Ethiopian Demography and Health Survey by Masrie Getnet, Addis Temie, Tilahun Fufa, Lake Kumlachew, Abraham Teym

Get full text

Comprehensive analysis of risk factors and nomogram development for predicting hepatic metastasis following radical resection of adenocarcinoma of the esophagogastric junction by Lili Deng, Jie Sun, Jing Wang, Xiaokai Duan, Baozhong Li

“…Clinical and pathological information was collected, and independent factors significantly associated with postoperative liver metastasis were identified using univariate and multivariate Cox regression analyses. …”
Get full text

Research on health information avoidance behavior and influencing factors of cancer patients—an empirical analysis based on structural equation modeling by Rui Zhu, Hui Zhao, Yun Yun, Yue Zhao, Weixian Wang, Lingmeng Wang, Wenjie Hou, Fuzhi Wang

“…Applying a chi-square test and multivariate logistic regression model to analyze the role of different socio-demographic factors in influencing health information avoidance behavior of cancer patients; applying structural equation modeling to analyze the role mechanism of health information avoidance behavior of cancer patients. …”
Get full text

Retention and risk factors for attrition in a large public health ART program in Myanmar: a retrospective cohort analysis. by Aye Thida, Sai Thein Than Tun, Sai Ko Ko Zaw, Andrew A Lover, Philippe Cavailler, Jennifer Chunn, Mar Mar Aye, Par Par, Kyaw Win Naing, Kaung Nyunt Zan, Myint Shwe, Thar Tun Kyaw, Zaw Htoon Waing, Philippe Clevenbergh

“…The primary outcome was attrition (death or loss-follow up); a total of 10,223 patients were included in the 5-year cumulative survival analysis. Overall 5,718 patients were analyzed for the risk factors for attrition using both logistic regression and flexible parametric survival models.…”
Get full text

Analysis of Aspiration Risk Factors in Severe Trauma Patients: Based on Findings of Aspiration Lung Disease in Chest Computed Tomography by Gyu Jin Heo, Jungnam Lee, Woo Sung Choi, Sung Youl Hyun, Jin-Seong Cho

“…General characteristics and patient status were analyzed. Results 425 patients were included in the final analysis. …”
Get full text

Analysis of Factors Affecting the Stress Level and Self-Medication Practice in Primary Dysmenorrhea in Adolescents during COVID-19 Pandemic by Nurul Kusumawardani, Endang Darmawan, Jasmine Amira Hatisuci, Iftita Nuratika Ramadhanti, Rahma Sakti Oktavia, Very Ainun Fauziah, Trisna Styawaty, Ratih Nugraeni

“…The results are presented in the form of frequency and percentage (%), and the determinants are analyzed using χ2-test and binary logistic regression models. …”
Get full text

Clinical characterization, cardiovascular risk factor profile and cardiac strain analysis in a Uganda cancer population: The SATRACD study. by Wanzhu Zhang, Feriel Azibani, Emmy Okello, James Kayima, Isaac Sinabulya, Joseph Leeta, Victoria Walusansa, Jackson Orem, Karen Sliwa

“…On multivariable logistic regression analysis, obesity (POR = 2.95; 95% CI, 1.24-7.03; p = 0.014) was the only independent factor associated with suboptimal GLS.…”
Get full text

Analysis of the factors influencing liver regeneration after hepatectomy in hepatocellular carcinoma patients and the relationship between liver regeneration and prognosis by Hongliang Liu, Xiaojing Gai, Xi Wang, Lingyan Liu, Lantian Tian, Bin Zhou

“…Patients were stratified into high and low-regeneration groups based on median HRR. Univariate analysis and multivariate logistic regression were applied to identify factors influencing regeneration. …”
Get full text

Beyond the SAFE strategy: Systematic review and meta-analysis of prevalence and associated factors of active trachoma among children in Ethiopia. by Zufan Alamrie Asmare, Denekew Tenaw Anley, Melaku Ashagrie Belete, Anteneh Mengist Dessie, Melkamu Aderajew Zemene, Ermiyas Alemayehu, Natnael Moges, Natnael Kebede, Sintayehu Simie Tsega, Asaye Alamneh Gebeyehu, Rahel Mulatie Anteneh, Ermias Sisay Chanie

“…Potential publication bias was also assessed by funnel plot, Egger's weighted correlation, and Begg's regression. The odds ratio with its 95% confidence was used to reckon the association between the prevalence and factors.…”
Get full text

Attitudes towards Telemedicine Services and Associated Factors among health professionals in Ethiopia: a systematic review and meta-analysis by Alex Ayenew Chereka, Gebrehiwot Berie Mekonnen, Amlaku Nigusie Yirsaw, Berihun Agegn Mengistie, Eyob Getachew, Gebeyehu Lakew, Adamu Ambachew Shibabaw, Gemeda Wakgari Kitil

“…After screening, 5 full-text articles were selected for inclusion. The data were analyzed using STATA version 11, where heterogeneity was assessed using the I² test, and publication bias was evaluated through funnel plots and Egger’s regression. …”
Get full text

A comprehensive DEA-based framework for evaluating sustainability and efficiency of vehicle types: Integrating undesirable inputs and social-environmental indicators by Sara Fanati Rashidi, Maryam Olfati, Seyedali Mirjalili, Jan Platoš, Vaclav Snášel

“…The DEA results are then compared with a multiple regression model to analyze the impact of different independent variables on vehicle efficiency. …”
Get full text

Depression and its influencing factors among older adults with chronic pain in China: an empirical analysis based on CHARLS data by Guojun Wang, Shiwei Huang, Ning Sun, Wenjin Gui, Yongjun Wang

“…Chi-square test and multiple logistic regression were used to analyze the main factors affecting depression in older adults with chronic pain.ResultsThe results of multivariate logistic regression analysis showed: gender (female: OR = 1.28, 95%CI = 1.16–1.41), age (≥75 years old: OR = 0.49, 95%CI = 0.42–0.56), spouse/partner living together (no: OR = 1.19, 95%CI = 1.06–1.32), place of residence (rural: OR = 1.19, 95%CI = 1.06–1.32), education level (High school and above: OR = 1.19, 95%CI = 1.06–1.32); satisfaction with child relationship (satisfaction: OR = 0.22, 95%CI = 0.18–0.28), smoking (no: OR = 0.60, 95%CI = 0.41–0.86), Internet use in the past month (Yes: OR = 0.77, 95%CI = 0.68–0.86), nap duration (1 ~ &lt;2 h: OR = 0.75, 95%CI = 0.66–0.85; ≥2 h: OR = 0.75, 95%CI = 0.66–0.85), night sleep duration (6 ~ &lt;8 h: OR = 0.75, 95%CI = 0.66–0.85; ≥8 h: OR = 0.56, 95%CI = 0.49–0.63), BADL damaged (Yes: OR = 1.45, 95%CI = 1.31–1.62), IADL damaged (Yes: OR = 1.31, 95%CI = 1.17–1.45), received outpatient services in the past month (Yes: OR = 1.18, 95%CI = 1.06–1.31), pain (Quite a Bit/Very: OR = 1.41, 95%CI = 1.26–1.58), number of body parts that feeling pain (1 ~ 3: OR = 1.42, 95%CI = 1.27–1.60; 4–6: OR = 1.76, 95%CI = 1.51–2.04; 7 ~ 9: OR = 2.21, 95%CI = 1.82–2.67; ≥10: OR = 2.63, 95%CI = 2.15–3.22) are the influencing factors of depressive symptoms in older adults with chronic pain (p &lt; 0.05).ConclusionThe incidence of depressive symptoms in older adults with chronic pain is 31.7%, and their depression status is affected by various factors. …”
Get full text

Analysis of clinical characteristics and influencing factors of fever after electroconvulsive therapy: a retrospective study from the Chinese population by Mengmeng Zhang, Mengmeng Zhang, Rui Xu, Rui Xu, Juan Wang, Juan Wang, Chunyan Wu, Huicong Ren, Huicong Ren, Huicong Ren, Zhaohui Zhang, Zhaohui Zhang, Juan Li, Juan Li, Juan Li, Juan Li

“…Patients were subsequently divided into two groups: a fever group, in which the body temperature was ≥ 38°C; and a non-fever group, in which the body temperature was &lt;38°C.ResultsA total of 895 patients underwent 7801 units of ECT treatment. Fever was analyzed at the patient and treatment unit level. At the patient level, 104 out of 895 patients (11.6%) experienced at least one fever within 24 hours after ECT, Compared with the non-fever group, the fever group showed statistically significant differences in age, gender, types of psychiatric ward (closed or open), and anesthetic type (all P &lt; 0.05) but not in the total number of ECT units or diagnoses, Logistic regression analysis identified the risk variables for fever as younger age (≤ 29), closed psychiatric ward, etomidate administration, and being male; and at the treatment units level, among the 7,801 ECT units, fever occurred in 129 units (1.7%), with a median maximum temperature of 38.5 (38.0–40.3)°C. …”
Get full text

The Factors Influencing Banks' Risk-Taking Behavior: Evidence from The Turkish Banking Industry by Yüksel Aydın, Erdal Demir

Get full text

Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

“…Given a large number of input variables that enclose geological and environmental factors, the study set the correlation of these conditions to provide profound analysis and reveal profound patterns within the data. …”
Get full text

Analysis of the incidence and influencing factors of high-risk foot in elderly patients with type 2 diabetes in a community in Beijing. by Gaoqiang Li, Qian Lu, Bing Wen, Huijuan Li, Jin Liu, Yanming Ding

“…<h4>Results</h4>The detection rate of high risk foot of type 2 diabetes was 51.7%. Binary Logistic regression analysis showed that age, glycosylated hemoglobin, hyperlipidemia, insulin therapy, and diabetic retinopathy were independent influencing factors for the occurrence of diabetic High-risk foot.…”
Get full text

Prevalence and associated factors of HIV among female sex workers in Eastern and Southern Africa: Systematic review and meta-analysis. by Tigabu Kidie Tesfie, Getaneh Awoke Yismaw, Bantie Getnet Yirsaw, Habtamu Wagnew Abuhay, Meron Asmamaw Alemayehu, Nebiyu Mekonnen Derseh, Gebrie Getu Alemu, Muluken Chanie Agimas

“…Publication bias was managed using trim-and-fill analysis. Subgroup and sensitivity analysis were considered to handle heterogeneity among studies.…”
Get full text