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  1. 5921

    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

    Published 2024-11-01
    “…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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  2. 5922

    Correlation Between the Koebner Phenomenon and Clinical Features in Vitiligo by Tang X, Hao C, Fan M, Dong P, Qi Y, Gao J, Huang H, Chen M, Wang W

    Published 2025-01-01
    “…Xianfa Tang,1– 3,* Cuilan Hao,1– 3,* Min Fan,1– 3,* Penghao Dong,1– 3 Yinyin Qi,1– 3 Jinping Gao,1– 3 He Huang,1– 3 Mengyun Chen,1– 3 Wenjun Wang1– 3 1Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China; 2Institute of Dermatology, Anhui Medical University, Hefei, Anhui, People’s Republic of China; 3Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wenjun Wang, Email wangwj0720@sina.comPurpose: To investigate the correlation between the presence of the Koebner phenomenon (KP) and clinical features of patients with vitiligo.Patients and Methods: The clinical characteristic data, including age, age of onset, disease duration, gender, clinical stage, clinical type, family history, and comorbid immune-related diseases, of 1472 patients with/without KP were analyzed with SPSS 17.0 software.Results: Of the 1472 patients, 290 (19.70%) were positive for KP. …”
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  3. 5923

    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

    Published 2017-01-01
    “…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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  4. 5924

    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

    Published 2025-12-01
    “…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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  5. 5925

    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

    Published 2016-01-01
    “…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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  6. 5926
  7. 5927

    Mental health and socio-cognitive predictors of adherence to COVID-19 social distancing rules in adolescents in England by Giacomo Bignardi, Saz P. Ahmed, Marc Bennett, Darren Dunning, Kirsty Griffiths, Jovita T. Leung, Ashok Sakhardande, Blanca Piera Pi-Sunyer, Willem Kuyken, Tim Dalgleish, Sarah-Jayne Blakemore

    Published 2025-01-01
    “…Bayesian ordinal regression models were used to predict adherence to social distancing from predictors, controlling for age at pandemic, gender, day of assessment, and intervention group. …”
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  8. 5928

    Predictors of New Onset Dysglycemia Post COVID-19 by Jonita Fernandes, Alphonsa Mary, Aanchal Sebastian, Franciosalgeo George, Jyothi Idiculla

    Published 2025-01-01
    “…Details regarding age, gender, weight, and history were obtained. Laboratory parameters such as fasting blood sugar, postprandial blood sugar, and glycated hemoglobin (HbA1c) were obtained. …”
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  9. 5929

    The dramatic impact of Coronavirus outbreak on air quality: Has it saved as much as it has killed so far? by R.J. Isaifan

    Published 2020-07-01
    “…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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  10. 5930

    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

    Published 2025-01-01
    “…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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  11. 5931

    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

    Published 2025-01-01
    “…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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  12. 5932

    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

    Published 2020-01-01
    “…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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  13. 5933

    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

    Published 2025-01-01
    “…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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  14. 5934

    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

    Published 2018-01-01
    “…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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  15. 5935

    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

    Published 2025-01-01
    “…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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  16. 5936

    Integrated omics profiling of individual variations in intestinal damage to the soybean allergen in piglets by Mengmeng Mi, Yaqing Zheng, Xin Fu, Nan Bao, Li Pan, Guixin Qin, Yuan Zhao

    Published 2025-01-01
    “…The indicators related to humoral and cellular immunity, transcriptomics, and metabolomics analysis were determined by randomly selecting 5 boars in the allergic group and non-allergic group and then performing a validation in vitro.ResultsThe sensitization rate of soybean antigen in the corn-soybean meal diet was 21.74% and there was a gender difference with the sensitization rate of female pigs (31.34%) being higher than that of male pigs (13.23%). …”
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  17. 5937

    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

    Published 2025-01-01
    “…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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  18. 5938

    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

    Published 2015-01-01
    “…We recorded ROP classification, regression, gender, gestational age, birth weight, postnatal age and postmenstrual age at treatment, and pregnancy type. …”
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  19. 5939

    Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study by Songjing Chen, Sizhu Wu

    Published 2025-01-01
    “…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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  20. 5940

    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

    Published 2025-01-01
    “…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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