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  1. 28441

    Croatian National Data and Comparison with European Practice: Data from the Cardiac Resynchronization Therapy Survey II Multicenter Registry by Sandro Brusich, Ivan Zeljković, Nikola Pavlovic, Ante Anić, Zrinka Jurišić, David Židan, Marina Klasan, Zlatko Čubranić, Kenneth Dickstein, Cecilia Linde, Camilla Normand, Sime Manola

    Published 2018-01-01
    “…A total of 115 patients were included in Croatia, which is 33.2% of all CRT implants in Croatia during the study period (total n=346). Median age of the study population was 67 (61–73) years, and 21.2% were women. …”
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  2. 28442

    Investigation of the Feasibility and Safety of a Highly Intensive Penetration Technique for Recanalization in Severe Calcified Femoropopliteal Occlusive Lesions: A Retrospective Ob... by Shinsuke Mori, Keisuke Hirano, Yusuke Setonaga, Toshihiko Kishida, Tomoya Fukagawa, Kohei Yamaguchi, Masafumi Mizusawa, Masakazu Tsutsumi, Norihiro Kobayashi, Yoshiaki Ito

    Published 2025-01-01
    “…Results The mean patient age was 75.9 ± 10.1 years. The proportion of men, patients with hypertension, patients with diabetes mellitus, and patients on hemodialysis was 78%, 59%, 41%, and 44%, respectively. …”
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  3. 28443

    Effectiveness of school-based active breaks on classroom behavior, executive functions and physical fitness in children and adolescent: a systematic review by Tomás Reyes-Amigo, Gabriel Salinas-Gallardo, Edgardo Mendoza, Camilo Ovalle-Fernández, Jessica Ibarra-Mora, Nicolás Gómez-Álvarez, Hernaldo Carrasco-Beltrán, Jacqueline Páez-Herrera, Juan Hurtado-Almonácid, Rodrigo Yañez-Sepúlveda, Rafael Zapata-Lamana, Rafael Zapata-Lamana, Felipe Sepúlveda-Figueroa, Jorge Olivares-Arancibia, Jorge Mota

    Published 2025-01-01
    “…Studies published between January 2010 and August 31, 2023, including participants aged 5 to 18, were included. Interventions involving active breaks and outcomes related to classroom behavior, executive functions, and physical fitness were considered.ResultsInitially, 145 studies were identified, with 22 duplicates excluded. …”
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  4. 28444

    The frequency of mutations in advanced thyroid cancer in Japan: a single-center study by Soji Toda, Hiroyuki Iwasaki, Yoichiro Okubo, Hiroyuki Hayashi, Mei Kadoya, Hiroyuki Takahashi, Tomoyuki Yokose, Yukihiko Hiroshima, Katsuhiko Masudo

    Published 2024-01-01
    “…Results of gene panel testing, which was performed between May 2020 and April 2023, were analyzed. The median age of the patients was 73.5 years (range, 17–88); 59 were women, and 39 were men. …”
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  5. 28445
  6. 28446

    Dyslipidemia Impacts Cardiometabolic Health and CVD Risk in a Relatively Young Otherwise Healthy Population by Jillian M. Lang, Elena S. Shostak, William K. Quinn, Valerie D. Chervinskaya, Elisa Fioraso, Everett Smith, Christopher J. Kotarsky, Justin A. DeBlauw, Jennifer L. Lloyd, Stephen J. Ives

    Published 2025-01-01
    “…Participants were 54 healthy males and females aged 18–60 years. Participants were assessed for anthropometrics, body composition, blood pressure and vascular stiffness indicators, microvascular health, and glucose and lipid levels. …”
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  7. 28447
  8. 28448

    Pleural metastases from differentiated thyroid cancer: clinical features and long-term outcomes by Mengyue Liu, Juan Tang, Nan Sun, Chuang Xi, Chentian Shen, Song Hongjun, Quanyong Luo, Xianzhao Deng, Zhongling Qiu

    Published 2025-01-01
    “…Results: The prevalence of PM in DTC was 1.87‰ (27/14,473). The median age at the time of initial diagnosis of PM was 59 years (range: 34–79). …”
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  9. 28449

    Progression and mortality of patients with cystic fibrosis in China by Wangji Zhou, Yaqi Wang, Yanli Yang, Yanyan Sun, Chongsheng Cheng, Jinrong Dai, Shuzhen Meng, Keqi Chen, Yang Zhao, Xueqi Liu, Dingding Zhang, Song Liu, Weiguo Zhu, Yaping Liu, Kai-Feng Xu, Xinlun Tian

    Published 2025-01-01
    “…According to the mixed-effects model, for patients ≤ 30 years of age at diagnosis, FEV1% predicted decreased 1.17% per year. …”
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  10. 28450

    Gut Microbiota, Microinflammation, Metabolic Profile, and Zonulin Concentration in Obese and Normal Weight Subjects by Agnieszka Żak-Gołąb, Piotr Kocełak, Małgorzata Aptekorz, Maria Zientara, Łukasz Juszczyk, Gayane Martirosian, Jerzy Chudek, Magdalena Olszanecka-Glinianowicz

    Published 2013-01-01
    “…Plasma zonulin level correlated positively with age (r=0.43, P<0.001), body mass (r=0.30, P<0.01), BMI (r=0.33, P<0.01), fat mass and fat percentage (r=0.31, P<0.01 and r=0.23, P<0.05, resp.). …”
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  11. 28451

    Cardioprotective effect of crocin in patients with breast cancer receiving anthracycline-based chemotherapy: A randomized, double-blind, placebo-controlled study by Xinye Li, Xin Su, Wanping Liang, Li Wang, Chao Yuan, Juping Xu, Yijun Zhang, Yan Liu, Ning Ma, Fan Yang, Yiyuan Yang, Liyuan Tao, Shipeng Sun, Hongcai Shang, Yanwei Xing

    Published 2025-03-01
    “…A total of 193 eligible participants (mean [SD] age, 50.9 [9.6] years; all women) were randomly assigned to receive crocin tablets or placebo. …”
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  12. 28452
  13. 28453

    QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

    Published 2025-03-01
    “…In many cases, coronary angiography does not reveal obstructive coronary artery disease (CAD) despite increased risk for major adverse cardiac events (MACE) compared with sex and age-matched asymptomatic cohorts. Objectives: The Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) evaluates intensive medical treatment for women with Ischemia with No Obstructive Coronary Arteries (INOCA). …”
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  14. 28454

    Colorectal Cancer and Polyps in Diverticulosis Patients: A 10-Year Retrospective Study in 13680 Patients by Fadi Abu Baker, Jesus Alonso Z'cruz De La Garza, Amir Mari, Abdel-Rauf Zeina, Amani Bishara, Oren Gal, Yael Kopelman

    Published 2019-01-01
    “…Each diverticulosis patient was matched with 1 control by age, gender, setting (inpatient/outpatient), and procedure’s indication. …”
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  15. 28455

    A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease by Qin Yang, Yuhe Xiang, Guoting Ma, Min Cao, Yixi Fang, Wenbin Xu, Lin Li, Qin Li, Yu Feng, Qian Yang

    Published 2024-12-01
    “…Logistic regression analysis revealed that age, educational level, occupational status, use of smartphones, sleep disorder, and hemoglobin were independent influencing factors of MCI (all p<.05). …”
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  16. 28456

    Preoperative myosteatosis and perioperative serum chloride levels predict 180 day major complications after radical cystectomy by Wassapol Sornthai, Achiraya Teyateeti, Tawatchai Taweemonkongsap, Siros Jitpraphai, Varat Woranisarakul, Kantima Jongjitaree, Katunyou Mahamongkol, Nattaporn Wanvimolkul, Thitipat Hansomwong

    Published 2025-01-01
    “…Multivariate analysis reveals associations between myosteatosis, aging, and anemia. Myosteatosis and perioperative serum chloride levels are significant predictors of major complications after RC for MIBC. …”
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  17. 28457

    Role of apoptosis genes in aggression revealed using combined analysis of ANDSystem gene networks, expression and genomic data in grey rats with aggressive behavior by A. O. Bragin, O. V. Saik, I. V. Chadaeva, P. S. Demenkov, A. L. Markel, Yu. L. Orlov, E. I.  Rogaev, I. N. Lavrik, V. A. Ivanisenko

    Published 2018-01-01
    “…Alterations in neuronal apoptosis are observed in aging and neuropathologies accompanied by changes in psycho­emo­ tional state (epilepsy, Alzheimer’s disease, neurotrauma). …”
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  18. 28458

    Total Adiponectin Is Inversely Associated with Platelet Activation and CHA2DS2-VASc Score in Anticoagulated Patients with Atrial Fibrillation by Roberto Carnevale, Daniele Pastori, Mariangela Peruzzi, Elena De Falco, Isotta Chimenti, Giuseppe Biondi-Zoccai, Ernesto Greco, Antonino G. M. Marullo, Cristina Nocella, Francesco Violi, Pasquale Pignatelli, Camilla Calvieri, Giacomo Frati

    Published 2014-01-01
    “…Exclusion criteria were as follows: prosthetic heart valves, cardiac revascularization in the previous year, severe cognitive impairment, chronic infectious or autoimmune diseases, and active cancer. Results. Mean age was 72.9 (±8.7) years and 41.6% were female. …”
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  19. 28459

    Association of quality of life in older patients with breast cancer: a cross-sectional study from China by Xi Chen, Qing Li, Xiang Wang, Lei Ji, Jintao Zhang, Qiao Li, Min Xiao, Shanshan Chen, Pin Zhang, Jiani Wang, Heng Cao, Xiaoyan Qian, Meng Xiu, Zhuoran Li, Yiqun Li, Xiaojuan Zheng

    Published 2025-01-01
    “…Objectives The purpose of this study was to investigate the quality of life (QoL) of older Chinese patients with breast cancer and to explore further the associations of functions, symptoms, financial burdens and comorbidities with global health/quality of life (gQoL).Design This was a cross-sectional study carried out following the Strengthening the Reporting of Observational Studies in Epidemiology checklist.Setting This study was conducted in two hospitals in Beijing from October 2021 to November 2022.Participants Patients with breast cancer aged over 65 years were included in the final analysis, which comprised a total of 481 patients.Primary and secondary outcome measures The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and the Charlson Comorbidity Index (CCI) were used to assess patients’ QoL and comorbidities. …”
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  20. 28460

    Virtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT by Chong Jiang, Chunjun Qian, Qiuhui Jiang, Hang Zhou, Zekun Jiang, Yue Teng, Bing Xu, Xin Li, Chongyang Ding, Rong Tian

    Published 2025-01-01
    “…Furthermore, the t-FL scoring system, incorporating the R-signature along with clinical parameters (age, LDH, and ECOG PS) and SUVmax, achieved an AUC of 0.820, facilitating the stratification of patients into low, medium, and high transformation risk groups. …”
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