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  1. 4761
  2. 4762

    Outcome differences in acute vs. acute on chronic heart failure and cardiogenic shock by Tara L. Jones, Michael C. Tan, Vidang Nguyen, Kathleen E. Kearney, Charles C. Maynard, Emily Anderson, Claudius Mahr, James M. McCabe

    Published 2020-06-01
    “…A total of 235 patients were identified: 51 patients (32.8%) had acute CS, and 184 patients (64.3%) had acute decompensation of chronic HF with no differences in age (52 ± 22 vs. 55 ± 14 years, P = 0.28) or gender (26% vs. 23%, P = 0.75) between the two groups. …”
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  3. 4763

    Two decades of recipient and donor referrals for heart transplantation to Groote Schuur Hospital, Cape Town, South Africa: A retrospective study by R Kanyongo, G Calligaro, B Cupido, J Scherman, A Brooks, C Ofoegbu, N Da Silva, A Ryan, M Mofamadi, K Seele, P Human, J Brink, P Zilla, T Pennel

    Published 2024-04-01
    “…A total of 625 recipients were referred for heart transplantation, with the majority being male (n=412; 65.9%), while gender was undocumented for 69 cases (11.0%). The mean age was 38.1 (14.6) years, and 153 (24.5%) were listed for transplant, while 215 (34.4%) were deemed ineligible for listing. …”
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  4. 4764

    Prevalence of common diarrheagenic enterobacteriaceae in Iran (2000–2023): a systematic review and meta-analysis by Mozhgan Derakhshan-Sefidi, Fereshteh Eidy, Somayyeh Nadi-Ravandi, Sareh Bagheri-Josheghani, Maryam Mirfakhraei

    Published 2025-01-01
    “…The criteria did not restrict patient demographics such as age, gender, health conditions, or occupation. This meta-analysis employed a 95% confidence interval (CI) for analysis. …”
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  5. 4765

    Early Postoperative Safety of Total Hip Arthroplasty in Systemic Lupus Erythematosus Patients by YANG Xingdong, YU Muyang, XU Yiming, ZHU Wei, HU Mingwei, WENG Xisheng, FENG Bin

    Published 2025-01-01
    “…Using propensity score matching, we matched patients in the two groups at a 1∶1 ratio according to gender, age, and surgical side. Subsequently, we compared the clinical characteristics, incidence of major complications within 30 days postoperatively, and allogeneic blood transfusion rates between the two groups.ResultsA total of 270 patients in the SLE group who met the inclusion and exclusion criteria were selected. …”
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  6. 4766

    Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model by Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah

    Published 2018-01-01
    “…Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a prediction accuracy of 77.5%, after adjusting for age, gender, and duration of condition. Higher levels of perceived benefits of using medicine [aOR=0.55(0.36-0.82),p=0.0001] and cue to actions [aOR=0.59(0.38-0.90),p=0.0008] were significantly associated with reduced noncompliance while perceived susceptibility [aOR=3.05(2.20-6.25), p<0.0001], perceived barrier [aOR=2.14(1.56-2.92), p<0.0001], and perceived severity [aOR=4.20(2.93-6.00),p<0.0001] were significantly associated with increased noncompliance to AHT. …”
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  7. 4767

    Construction of a Practical Oriented Tool for Evaluating the Ability of Community Medical Staff to Provide Hospice Care Services and Its Reliability and Validity by SHA Jingjing, JING Limei, DING Tongjiu, XIN Yurong, TANG Lan, LI Shuijing

    Published 2025-02-01
    “…The results of multiple linear regression analysis showed that: gender, education, years of working in the community, whether or not they experienced the death of a relative, whether or not they experienced hospice training, the length of hospice service work, and whether or not they were willing to engage in hospice service were the influencing factors of hospice service competence (P&lt;0.05) . …”
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  8. 4768

    Evolution of burnout syndrome in Spanish healthcare professionals during and after the COVID-19 pandemic: psychosocial variables involved by Fernanda Gil-Almagro, Fernanda Gil-Almagro, Fernanda Gil-Almagro, F. Javier Carmona-Monge, Fernando J. García-Hedrera, Cecilia Peñacoba-Puente

    Published 2025-02-01
    “…Together with sociodemographic and occupational data (age, gender, professional category, years of experience, hours of work), anxiety, depression, stress, family support, friends’ support, and self-efficacy were assessed at the first time point. …”
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  9. 4769

    Association of ambient air pollutants with blood physiological and biochemical indicators and systemic immune inflammation index in people living around Beijing: an analysis of air... by Bingqian DU, Zhiqiang REN, Peian CHEN, Zhenjun LI

    Published 2024-11-01
    “…After adjusting for confounders such as gender and age, multiple linear regression analysis showed that for every 1 μg/m3 increase in PM2.5 concentration, MCHC decreased by 2.947 g/L; for every 1 μg/m3 increase in PM10 concentration, NEUT#, MO#, and SIRI increased by 0.236 × 109/L, 0.025 × 109/L, and 0.112, respectively; for each 1 μg/m3 increase in NO2 concentration, MO#, RDW-SD, and SIRI increased by 0.011×109/L, 0.136 fL, and 0.023, respectively, and MCHC decreased by 2.743 g/L; for every 1 μg/m3 increase in SO2 concentration, MCHC decreased by 1.871 g/L; for every 1 μg/m3 increase in CO concentration, MCHC and RDW-SD decreased by 1.383 g/L and 0.460 fL, respectively; for each 1 μg/m3 increase in O3 concentration, MO#, RDW-SD, and SIRI increased by 0.005×109/L, 0.113 fL, and 0.005, respectively, and MCHC decreased by 1.245 g/L. …”
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  10. 4770

    Patterns of beta-blocker use and dose optimization among ambulatory heart failure patients with reduced ejection fraction (HFrEF) attending public hospitals in Northeast Ethiopia:... by Minimize Hassen, Tsehaynesh Kebede Ebsa, Oumer Sada Muhammed, Tewodros Solomon, Mulat Belete Demessie, Teklehaimanot Fentie Wendie, Nuhamin Alemayehu Tesfaye, Mengistie Yirsaw Gobezie

    Published 2025-01-01
    “…Factors positively associated with beta-blocker use included Angiotensin Converting Enzyme Inhibitor use (AOR: 15.48, 95% CI: 2.11-113.54, p = 0.007), and taking multiple medications (AOR: 7.12, 95% CI: 1.54–33.02, p = 0.012), while ingestion of secondary prevention agents (AOR: 0.05, 95% CI: 0.01–0.98, p = 0.048) and male gender (AOR: 0.08, 95% CI: 0.01–0.47, p = 0.005) were negatively associated. …”
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  11. 4771

    Cross-sectional and longitudinal associations between serum vitamin D and continuous metabolic syndrome score among children and adolescents: roles of levels of inflammation in per... by Yanyan Li, Zhuang Ma, Yan Li, Ting Xiong, Ziyang Zhang, Bingxuan Kong, Wenlong Lu, Xiu Zhao, Rongfei Zheng, Yuhan Tang, Ping Yao, Zhe Su, Yuanjue Wu, Jingfan Xiong

    Published 2025-01-01
    “…Continuous Metabolic syndrome risk score (CMSRS), incorporating waist, blood pressure, blood lipid levels, and glucose metabolism as four components, utilizes age- and gender-specific Z scores to evaluate metabolic risk. …”
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  12. 4772

    Association between stroke and fracture and the mediating role of depression: a cross-sectional study from NHANES 2017 to 2020 by Yuqin Dan, Xuewen Pei, Danghan Xu, Zhaoxi Liu, Yuqi Wang, Meng Yin, Li Li, Gongchang Yu, Gongchang Yu

    Published 2025-02-01
    “…Subgroup analysis revealed significant associations with gender, race, osteoporosis, and depression. Female stroke patients had a higher fracture rate (73.86% vs. 47.78%, p &lt; 0.001), and those with post-stroke depression (29.67% vs. 13.16%, p &lt; 0.001) or osteoporosis (33.33% vs. 15.81%, p &lt; 0.05) were at increased risk of fractures. …”
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  13. 4773

    Attitudes Toward Psychotherapeutic Treatment and Health Literacy in a Large Sample of the General Population in Germany: Cross-Sectional Study by Rebekka Schröder, Tim Hamer, Ralf Suhr, Lars König

    Published 2025-01-01
    “…Pearson correlations (age), ANOVAs (level of education and subjective social status), and t tests (experience with psychotherapy, gender, and migration background) were used to analyze how these relate to attitudes toward psychotherapy. …”
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  14. 4774

    EVALUACIÓN DE LA SATISFACCIÓN LABORAL DE PROFESORES DE EDUCACIÓN FÍSICA by Raquel Krapp do Nascimento, Gelcemar Oliveira Farias, Marcos Paulo Vaz de Campos Pereira, Jorge Both, Alexandra Folle

    Published 2019-10-01
    “…Working conditions differed according to gender(women>men) and age (31 years of age or older>up to 30 years of age), while career progression, autonomy at work, and social relevance differed in relation to teachers’ age (31 years of age or older>up to 30 years of age). …”
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  15. 4775

    Transformative agency of students as a resource to form civic consciousness in education system by M. V. Pevnaya, A. N. Tarasova, D. F. Telepaeva, D. S. Protasov

    Published 2024-04-01
    “…There are four quotas in its base: gender, age, main type of education (school, secondary school, university); type of city by population. …”
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  16. 4776

    Ten-year outcomes of repeat keratoplasty for optical indications by Victoria Grace Dimacali, Hon Shing Ong, Hon Shing Ong, Hon Shing Ong, Hon Shing Ong, Stephanie Shuang Lang, Hla Myint Htoon, Hla Myint Htoon, Howard Cajucom-Uy, Hui Chen Charmaine Chai, Hui Chen Charmaine Chai, Marcus Ang, Marcus Ang, Anshu Arundhati, Anshu Arundhati, Anshu Arundhati, Jodhbir S. Mehta, Jodhbir S. Mehta, Jodhbir S. Mehta

    Published 2025-01-01
    “…Cox multiple regression analysis showed male gender (p = 0.023), PK regraft (p = 0.003), regraft rejection (p = 0.003), and initial graft indications of pseudophakic bullous keratopathy (p = 0.005) and aphakic bullous keratopathy (p = 0.004) to be risk factors for regraft failure, while longer time to regraft was associated with decreased risk of failure (p = 0.013).ConclusionPerforming EK for failed optical PK or EK significantly improved regraft survival compared to repeat PK. …”
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  17. 4777

    People’s knowledge, attitudes, and conflicts with carnivores in central hills, Sri Lanka by Ashan Thudugala, Hem Bahadur Katuwal, Nalindra Laxman, Vishwa Dushmantha, Ravindi Menikrama, Harsha Dissanayake, Chameera Dilshan, Ru-Chuan He, Rui-Chang Quan

    Published 2025-04-01
    “…The ability to identify carnivores was significantly influenced by distance to the forest, gender, and education level. Respondents demonstrated a strong understanding of environmental laws, including forest and wildlife regulations and the penalties associated with killing species. …”
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  18. 4778
  19. 4779

    Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

    Published 2024-12-01
    “…The final CatBoost model included, among the top 15 variables to predict hidden malignancy, age, gender, systolic blood pressure, heart rate, weight, chronic lung disease, D-dimer, alanine aminotransferase, hemoglobin, serum creatinine, cholesterol, platelets, triglycerides, leukocyte count and previous VTE. …”
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  20. 4780

    Sedentary Behavior and Its Association With Psychological Well-Being and Sleep Quality in Adolescents: Evidence from a Propensity Score Analysis by Zhang L, Zhao S, Zhao S, Zheng H, Ke Y, Yang W, Lei M

    Published 2025-02-01
    “…Propensity scores matching analysis was employed to investigate the associative relationship between sedentary lifestyles and the measured outcomes.Results: Prior to propensity scores matching, significant differences were observed in baseline characteristics between participants with and without sedentary lifestyles, including gender (P=0.01), dietary habits (P< 0.001), mobile device usage (P< 0.001), stress events (P=0.001), physical activity (P< 0.001), and chronic diseases (P=0.024). …”
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