Common Risk Factors of Myocardial Infarction and Some Socio Demographic Characteristics in Sulaimani City by Bayan Omar Sharif, Samir Y. Lafi

“…Smoking was significant correlation with age, gender, level of education, and marital status (r = 0.34, 0.38, -0.23 and 0.17) respectively) (p value less than 0.05). …”
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Nomogram models for predicting outcomes in thyroid cancer patients with distant metastasis receiving 131iodine therapy by Shui Jin, Xuemei Ye, Ting Ye, Xinyu Chen, Jianfeng Ji, Jinyu Wang, Xin Zhu, Xiaochun Mao, Takahiro Higuchi, Heqing Yi

“…For OS, predictors included gender, age, metastasis site, first 131I administrated activity, 131I uptake, pulmonary lesion size, and stimulated thyroglobulin levels. …”
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Sudden cardiac death after acute myocarditis with arrhythmic presentation: hunting for risk predictors − a systematic review and meta-analysis by Massimo Imazio, Valentino Collini, Maria Lucia Narducci, Federico Ballacci, Federica Giordano

“…An increased risk of adverse outcomes during follow-up was observed in patients presenting with monomorphic ventricular tachycardia (OR 3.77, 95% CI 1.23 to 11.53) and left ventricular ejection fraction (LVEF) <50% (OR 2.74, 95% CI 0.78 to 9.63). Gender and anteroseptal late gadolinium enhancement were not found as potential risk factors in this analysis.Conclusions Patients with myocarditis with arrhythmic ventricular presentation have a high recurrence rate of VA, underscoring the importance of careful monitoring and management in this patient population. …”
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Serum-Free Thyroxine Levels Were Associated with Pulmonary Hypertension and Pulmonary Artery Systolic Pressure in Euthyroid Patients with Coronary Artery Disease by Bingjie Wu, Jingjing Jiang, Minghui Gui, Lin Liu, Qiqige Aleteng, Shanshan Wang, Xiaojing Liu, Yan Ling, Xin Gao

“…Multiple logistic regression analysis demonstrated an independent association of FT4 levels with PH after adjustment of gender, age, body mass index, systolic blood pressure, left ventricular ejection fraction, hypertension, and medication use of calcium channel blockers, ACE inhibitors, angiotensin II receptor antagonists, and nitrates. …”
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Risk factors for hepatocellular carcinoma: an umbrella review of systematic review and meta-analysis by Jie Wang, Kaijie Qiu, Songsheng Zhou, Yichao Gan, Keting Jiang, Donghuan Wang, Haibiao Wang

“…Blood type O reduces the risk of HCC, while male gender and older age increase the risk.Conclusions HBV and HCV are major HCC risk factors, with risk mitigation through antiviral treatments. …”
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Kansas City Cardiomyopathy Questionnaire Utility in Prediction of 30-Day Readmission Rate in Patients with Chronic Heart Failure by Shengchuan Dai, Manoucher Manoucheri, Junhong Gui, Xiang Zhu, Divyanshu Malhotra, Shenjing Li, Jason D’souza, Fnu Virkram, Aditya Chada, Haibing Jiang

“…The c-statistic for the base model (age + gender) was 0.617. The combination of home medication and lab tests on the base model resulted in an integrated discrimination improvement (IDI) increase of 3.9%. …”
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Community and familial dynamics influencing risk behavior for HIV acquisition among adolescent girls and young women in Uganda: Qualitative analysis using Protective Motivation The... by Rose Apondi, Hilde Bastiaens, Christiana Nöstlinger, Jennifer Galbraith, Tiffiany M Aholou, Amy Medley, Rhoda K Wanyenze, Anna C Awor, David M Serwadda, George Aluzimbi, Juliet Cheptoris, Moses Ogwal, Neema Nakyanjo, Pragna Patel

“…Imbalance in power relations between the genders explained inability of AGYW making safe healthy decisions, with social norms giving men power over women. …”
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The dramatic impact of Coronavirus outbreak on air quality: Has it saved as much as it has killed so far? by R.J. Isaifan

“…It sheds light on the facts related to the demographics of deaths by gender, age and health status before infection. The historical data on air quality, estimates of annual deaths and its economic burden have been presented and analyzed. …”
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Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach by Ethan Low, Joshua Monsen, Lindsay Schow, Rachel Roberts, Lucy Collins, Hayden Johnson, Carl L. Hanson, Quinn Snell, E. Shannon Tass

“…Results Younger grade levels, feeling left out, and family issues (severity and frequent arguments, family member insulting each other, and family drug use) are strongly associated with increased bullying victimization - whether in person or online. Gender analysis showed that for male and females, family issues and hating school were most highly predictive. …”
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The Relationship Between Body Composition, Physical Activity, Self-Esteem, and Body Image in Female and Male Adolescents by Ligia Rusu, Denisa Piele, Eva Ilie, Gheorghe Ionescu, Mihnea Ion Marin, Mihai Robert Rusu, Mirela Lucia Calina

“…The objective of this study is to evaluate the relationships between the parameters that define body composition, self-esteem, body image, and physical activity according to gender. This study included 100 females and 100 males with an average age of 22 years. …”
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Macular Microvasculature Density Changes in Anisometropic Amblyopic Eyes after Successful Treatment by Wuhe Chen, Frank Thorn, Ruzhi Deng, Xiaoman Li, Jiangtao Lou, Yingjie Wang, Xinping Yu

“…Twenty-two children with hyperopic anisometropic amblyopia (median, 8 years old) were enrolled along with 66 healthy controls of similar age and gender distribution. Best-corrected visual acuity (BCVA) was determined, and macular vessel density in the superficial and deep capillary plexuses (SCPs and DCPs, respectively) was measured by optical coherence tomography angiography before and after refractive correction and occlusion therapy. …”
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Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signa... by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…The dataset included diverse individuals who were balanced in terms of gender, age, and the condition of hypertension, with their ECG and PPG signals simultaneously acquired with wrist -worn wearable devices. …”
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Surgical Quality in Rectal Cancer Management: What Can Be Achieved by a Voluntary Observational Study? by Łukasz Dziki, Ronny Otto, Hans Lippert, Paweł Mroczkowski, Olof Jannasch

“…The following parameters were analysed: (1) patient related: age, gender, ASA classification, T-stage, and N-stage, (2) system related: frequency of preoperative CT and MRI, and (3) outcome related: CRM status, complications, and hospital mortality. …”
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Development and validation of a prediction model for chronic post-surgical pain risk: a single-center prospective study of video-assisted thoracoscopic lung cancer surgery by Xiong-Fei Zhang, Chang-Guo Peng, Hua-Jing Guo, Zhi-Ming Zhang

“…Results Independent risk factors for CPSP included female gender, severe acute pain post-surgery, lymph node dissection, and cold pain sensation, while paravertebral nerve block was identified as a protective factor. …”
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Navigating ethics in HIV data and biomaterial management within Black, African, and Caribbean communities in Canada by Rusty Souleymanov, Bolaji Akinyele-Akanbi, Chinyere Njeze, Patricia Ukoli, Paula Migliardi, Linda Larcombe, Gayle Restall, Laurie Ringaert, Michael Payne, John Kim, Wangari Tharao, Ayn Wilcox

“…A diverse sample was recruited through community agencies, social media, and flyers, with considerations for variations in age, gender, sexual orientation, and geographical location. …”
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Outcomes and Prognostic Factors of Intravitreal Bevacizumab Monotherapy in Zone I Stage 3+ and Aggressive Posterior Retinopathy of Prematurity by Simona Delia Nicoară, Constanța Nascutzy, Cristina Cristian, Iulian Irimescu, Anne Claudia Ștefănuț, Gabriela Zaharie, Tudor Drugan

“…We recorded ROP classification, regression, gender, gestational age, birth weight, postnatal age and postmenstrual age at treatment, and pregnancy type. …”
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Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study by Songjing Chen, Sizhu Wu

“…Methods We stratified the population into six subgroups according to age and gender. For each subgroup, random forest, extreme gradient boosting, deep neural networks, support vector machine, multiple logistic regression and deep Q network (DQN) models were developed and validated. …”
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The Effect of Cognitive-Motor Dual Tasks on the Risk of Falls in Female Saudi Students: A Cross-Sectional Study by Alatawi SF, Mahmoud HM

“…Future research could investigate the complex nature of additional DT that may be complicated by gender and BMI outside of the normal range.Keywords: dual tasks, risk of fall, cognition, balance…”
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Association of cardiac troponin I level with in-hospital and late mortality in dialysis patients by Shahram Taheri, Golbarg Ghomi, Alireza Nematollahi, Sayed Mohsen Hosseini

“…In logistic regression analysis, only female gender (odds ratio [OR] =1.89, confidence interval [CI] =1.22–3.076) and TG (OR = 1.007, CI = 1.003–1.01) were positively and HDL cholesterol level (OR = 0.994, CI = 0.98–0.99) was negatively associated with increased cTnI level. cTnI level was associated with early (OR = 4.81, CI = 1.64–14.89) and late (OR = 4.31, CI = 1.61–10.96) mortality. …”
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Meta-analysis examining the association between low platelet monoamine oxidase levels and Zuckerman's sensation seeking scale in a sex dependent manner by Jordan Winfield, Ian A. Mendez, Gabriel A. Frietze

“…A subgroup analysis was used to examine the effects of gender. The REM yielded a weighted average correlation of −0.22 (95% CI = −0.33, −0.10) for the effect sizes of males, −0.22 (95% CI = −0.47, 0.06) for the effect sizes of females, and −0.23 (95% CI = −0.38, −0.06) for the effect sizes that included both males and females. …”
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