Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide... by Luqing Jiang, Tengxiao Zhu, Wenjing Song, Ying Zhai, Yu Tang, Fengxia Ruan, Zichen Xu, Lei Li, Xia Fu, Daoqin Liu, Aidong Chen, Qiwen Wu

“…According to ROC analysis, The AUC of eGDR for predicting stroke risk in the overall population with abnormal glucose metabolism (AUC: 0.612, 95% CI: 0.584–0.640) was significantly higher than that of other indexes. …”
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Effectiveness of the Chronic Care Model in Type 2 Diabetes Management in a Community Health Service Center in China: A Group Randomized Experimental Study by Jing-Xia Kong, Lin Zhu, Hong-Mei Wang, Ying Li, An-Ying Guo, Chao Gao, Yan-Yao Miao, Ting Wang, Xiao-Yang Lu, Hong-Hong Zhu, Donald L. Patrick

“…A total of 258 patients (134 in intervention and 124 in control) who completed the baseline and follow-up evaluations and the entire intervention were included in the final analyses. …”
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Reduced functional independence and multimorbidity increases the risk of severe infection among older patients with Omicron: a multicenter retrospective cohort study by Wan Yu, Runnian Huang, Shuning Sun, Li Bu, Xin Chen, Yunhua Di, Shuwu Lin, Qian Li, Yang Yang, Xingyue Ye, Wenxu Wang, Rui Ren, Linze Xi, Ru Zhang, Yi Li, Xin Li, Tianbo Hou, Zibo Ning, Yang Peng, Difei Wang

“…Compared to non-multimorbid patients (OR = 3.71, 95% CI: [1.58, 9.16]), multimorbid patients (OR = 10.04, 95% CI: [5.63, 18.57]) had a more pronounced risk of severe or critical infection. …”
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Dynamic Digital Radiography (DDR) in the Diagnosis of a Diaphragm Dysfunction by Elisa Calabrò, Tiana Lisnic, Maurizio Cè, Laura Macrì, Francesca Lucrezia Rabaiotti, Michaela Cellina

“…The pixel size was 388 × 388 μm, the matrix size was 1024 × 768, and the overall image area was 40 × 30 cm. …”
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Recent advances in the biosynthesis of polysaccharide-based antimicrobial glycoconjugate vaccines by Yuhui Wang, Yuhui Wang, Yuhui Wang, Yuhui Wang, Haodi Liu, Haodi Liu, Haodi Liu, Haodi Liu, Baoying Wang, Baoying Wang, Baoying Wang, Baoying Wang, Gülzire Gheyret, Jingliang Qin, Hanlin Wang, Hanlin Wang, Hanlin Wang, Hanlin Wang, Yuhan Di, Yuhan Di, Yuhan Di, Yuhan Di, Yanling Wang, Juan Wang, Haining Tan, Haining Tan, Haining Tan, Haining Tan

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Assessing and Enhancing Nutrition and Physical Activity Environments in Early Childhood Education and Care Centers: Scoping Review of eHealth Tools by Joyce Hayek, Kelsi Dickson, Lynne M Z Lafave

“…The gray literature search yielded 1054 results, of which 17 were moved to full-text screening, and 7 met the eligibility criteria for data extraction and analysis. …”
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Predictive Factors and the Predictive Scoring System for Falls in Acute Care Inpatients: Retrospective Cohort Study by Chihiro Saito, Eiji Nakatani, Hatoko Sasaki, Naoko E Katsuki, Masaki Tago, Kiyoshi Harada

“…In the training dataset (n=9150), Cox regression analysis identified sex (male: HR 1.60, 95% CI 1.21‐2.13), age (65 to <80 years: HR 2.26, 95% CI 1.48‐3.44; ≥80 years: HR 2.50, 95% CI 1.60‐3.92 vs 20-<65 years), BMI (18.5 to <25 kg/m²: HR 1.36, 95% CI 0.94‐1.97; <18.5 kg/m²: HR 1.57, 95% CI 1.01‐2.44 vs ≥25 kg/m²), independence degree of daily living for older adults with disabilities (bedriddenness rank A: HR 1.81, 95% CI 1.26‐2.60; rank B: HR 2.03, 95% CI 1.31‐3.14; rank C: HR 1.23, 95% CI 0.83‐1.83 vs rank J), department (internal medicine: HR 1.23, 95% CI 0.92‐1.64; emergency department: HR 1.81, 95% CI 1.26‐2.60 vs department of surgery), and history of falls within 1 year (yes: HR 1.66, 95% CI 1.21‐2.27) as predictors of falls. …”
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Antimicrobial resistance profile of Pseudomonas aeruginosa clinical isolates from healthcare-associated infections in Ethiopia: A systematic review and meta-analysis. by Zelalem Asmare, Melese Abate Reta, Yalewayker Gashaw, Ermias Getachew, Assefa Sisay, Muluken Gashaw, Ephrem Tamrat, Atitegeb Abera Kidie, Wagaw Abebe, Tadesse Misganaw, Agenagnew Ashagre, Zelalem Dejazmach, Getinet Kumie, Marye Nigatie, Sisay Ayana, Abdu Jemal, Solomon Gedfie, Woldeteklehaymanot Kassahun, Mulat Awoke Kassa, Selamyhun Tadesse, Biruk Beletew Abate

“…The pooled multi-drug resistance (MDR) in P. aeruginosa was 80.5% (95%CI: 66.25-93.84). Upon subgroup analysis by infection types and year of publication, P. aeruginosa isolated from healthcare-associated infections exhibited higher resistance to ceftazidime (94.72%) compared to isolates from mixed types of healthcare-associated infections (70.84%) and surgical site infections (57.84%). …”
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The Effectiveness of Onion Extract Allium sativum to Prevent Koi Herpesvirus (KHV) Infection on Common Carp Cyprinus carpio by Sri Nuryati, P. Giri, Y. Hadiroseyani

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Número de passos para discriminar pressão arterial elevada em jovens: quantos são o suficiente? by Alex Pinheiro Gordia, Teresa Maria Bianchini de Quadros, Alynne Christian Ribeiro Andaki, Edmar Lacerda Mendes, Jorge Mota, Luciana Rodrigues Silva

“…Estudo transversal com 1.044 escolares (456 meninos), de seis a 17 anos de idade, do município de Amargosa, Bahia, Brasil. …”
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Clinical Study of Repetitive Transcranial Magnetic Stimulation Combined with Social Rehabilitation Training on Children with Attention Deficit Hyperactivity Disorder by JING Xinli, ZHU Min, NIU Yujia

“…Compared with the control group, SASC and DSRSC scores of the observation group were lower after treatment (<italic>P</italic>&lt;0.05). (4) Correlation analysis: the family score in WFIRS-P was positively correlated with hyperactivity/impulsivity, opposition and defiance scores in SNAP-Ⅳ (<italic>r</italic>=0.357, <italic>P</italic>=0.005; <italic>r</italic>=0.284, <italic>P</italic>=0.028), the SASC score (<italic>r</italic>=0.352, <italic>P</italic>=0.006) and the DSRSC score (<italic>r</italic>=0.353, <italic>P</italic>=0.006). …”
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Influencing factors of the participation of patients with severe mental disorders in community health service management by Shiming Li, Yingying Ji, Queping Yang, Ying Jiang, Qitao Yin, Haohao Zhu

“…Multivariate logistic regression analysis revealed the following negative factors influencing participation in community health service management: Age group 31–40 years (OR = 0.532, 95% CI: 0.434–0.653), Age group 41–50 years (OR = 0.557, 95% CI: 0.468–0.663), Age group 51–60 years (OR = 0.746, 95% CI: 0.635–0.877), Age group &gt;60 years (OR = 0.840, 95% CI: 0.719–0.969), Duration of illness 6–10 years (OR = 0.376, 95% CI: 0.307–0.461), Duration of illness 11–15 years (OR = 0.312, 95% CI: 0.249–0.390), Duration of illness 16–20 years (OR = 0.702, 95% CI: 0.529–0.932), Duration of illness &gt;20 years (OR = 0.701, 95% CI: 0.514–0.957), Education level of college or above (OR = 0.719, 95% CI: 0.560–0.923), Current student status (OR = 0.565, 95% CI: 0.419–0.760), Absence of social welfare benefits (OR = 0.643, 95% CI: 0.572–0.723), History of violent or harmful behavior (OR = 0.553, 95% CI: 0.442–0.692), Non-participation in community rehabilitation activities (OR = 0.170, 95% CI: 0.101–0.284). Conversely, the following factors were identified as positive influences on participation: Being a farmer (OR = 1.423, 95% CI: 1.215–1.665), Widowhood (OR = 2.355, 95% CI: 1.583–3.503), Divorce (OR = 2.992, 95% CI: 2.093–4.278). …”
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Production and bioactivity test of recombinant protein common carp growth hormone by Deny Sapto Chondro Utomo, . Alimuddin, Agus Oman Sudrajat, Irvan Faizal

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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

“…The developed predictive algorithm (AUC 0.719 internally, 0.684 externally) offers a more sophisticated risk stratification tool, potentially guiding personalized treatment strategies in high-complexity VBAO patients with atrial fibrillation.…”
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Inhibition of microRNA-139-5p Improves Fibroblasts Viability and Enhances Wound Repair in Diabetic Rats Through AP-1 (c-Fos/c-Jun) by Mo J, Zhang J, Meng X, Wang F, Tang W, Liu Y, Fu L, Liang F, Mo Z

“…Jiake Mo,1,2,&ast; Jiaqi Zhang,1,2,&ast; Xubiao Meng,3 Fang Wang,1,2 Weian Tang,1,2 Ying Liu,1,2 Lanfang Fu,3 Fang Liang,4 Zhaohui Mo1,2 1Department of Endocrinology, Third Xiangya Hospital of Central South University, Changsha, Hunan Province, People’s Republic of China; 2Diabetic Foot Research Center of Central South University, Changsha, Hunan Province, People’s Republic of China; 3Department of Endocrinology, Haikou People’s Hospital & Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, Hainan Province, People’s Republic of China; 4Department of Endocrinology, Xingtai People’s Hospital, Xingtai, Hebei Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhaohui Mo; Fang Liang, Email easd04mzh@126.com; liangfang1024@163.comIntroductions: Diabetic foot ulcers (DFU) are notoriously difficult to heal, however, its underlying molecular mechanisms are unknown. …”
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Prognostic nutritional index as a predictor of cardiovascular and all-cause mortality in American adults with hypertension: results from the NHANES database by Jing Tang, Jing Tang, Long Yang, Guan-Ying Yang, Yan-Hong Li, You-Sen Zhu, Hui Li, Xiao-Ming Gao, Xiao-Ming Gao, Xiao-Ming Gao

“…After excluding participants younger than 18 years, without hypertension, and with missing follow-up data, a total of 18,189 cases were included in this study. …”
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Association Between Adolescent Violence Exposure and the Risk of Suicide: A 15-Year Study in Taiwan by Chieh Sung, Chi-Hsiang Chung, Chien-An Sun, Chang-Huei Tsao, Daphne Yih Ng, Tsu-Hsuan Weng, Li-Yun Fann, Fu-Huang Lin, Wu-Chien Chien

“…A total of 976 cases aged 10–18 who had experienced violence were included in this study. …”
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The James Webb Space Telescope Absolute Flux Calibration. III. Mid-infrared Instrument Medium Resolution Integral Field Unit Spectrometer by David R. Law, Ioannis Argyriou, Karl D. Gordon, G. C. Sloan, Danny Gasman, Alistair Glasse, Kirsten Larson, Leigh N. Fletcher, Alvaro Labiano, Alberto Noriega-Crespo

“…We calibrate the 18–28 μ m spectral range using a combination of observations of main belt asteroid 515 Athalia and the circumstellar disk around young stellar object SAO 206462. …”
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Can exercise as a complementary technique manage inflammatory markers in women with breast cancer who are overweight and obese? A systematic review and meta-analysis by Liang Tan, Jinyu Mei, Ruihong Tang, Duo Huang, Kai Qi, Zbigniew Ossowski, Xiaoning Wang

“…The screening criteria were as follows (A) written in English; (B) RCT; (C) studied in women with overweight obese and breast cancer; (D) outcome measures: inflammatory markers; (E) the duration of the exercise intervention was unlimited. Results: A total of 14 articles and 1064 participants were included. …”
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Peroral endoscopic myotomy with fundoplication (POEM-F) for achalasia: Systematic review and meta-analysis by Harishankar Gopakumar, Eugene Annor, Ishaan Vohra, Iman Andalib, Amy Tyberg, Avik Sarkar, Haroon Shahid, Mine Carames, Juan Carlos Carames, Giovanna Porfilio Gularte, Abed Al-Lehibi, Resheed Alkhiari, Amol Bapaye, Carlos Robles-Medranda, Michel Kahaleh

“…Rate of wrap integrity on follow-up was 84.00%; 95% CI 66.00-93.40. Composite clinical success of POEM-F in mitigating post-POEM GER was 86.20%; 95% CI 73.80-93.20. …”
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