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    Comparison of the effects of different teaching methods on the effectiveness of teaching neurology in China: a bayesian network meta-analysis and systematic review by Xiangyu Li, Longsheng Zhang, Wenjun Sun, Min Lei, Ying Li, Jiacheng Zhang, Xing Huang

    Published 2024-12-01
    “…The quality of the included studies was evaluated, and the data were analyzed in R 4.3.2 and Stata 17.0 software. Results From the 31 studies included, comprising 2124 subjects, significant findings emerged. …”
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    EXPERIENCE SANITARY-EPIDEMIOLOGICAL EXAMINATION PROJECT OF PLACING A SOURCE OF IONIZING RADIATION (GENERATING) IN HEALTH CARE INSTITUTIONS by I. A. Rakitin, A. L. Zel’din, V. B. Karpov

    Published 2015-10-01
    “…The majority among the placed sources presented for examination was X-ray diagnostic units and sets – 35.7%, dentist X-rays – 39.4% and fluorography units – 10.8%. Mammography units and computer tomographs made 6.7% each, accelerants – 0.7%.The most frequent reasons of primary refusals to accept design documentation were: absence of calculations of protection against all placed diagnostic X-ray devices (23.6% – at placing of diagnostic X-ray sets, 16.2% – at placing of dentist devices), absence of the upper floors layouts (26.5% – at placing of dentist X-rays) and absence of permitting documentation for X-ray devices (at placing of dentist X-ray devices – 22.2%).At carrying out of design activity of special importance is creation of medical and technical projects which were absent in 22.9% of presented projects and in 34.6% were replaced with technical projects. …”
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    Preoperative albumin-bilirubin grade combined with sarcopenia predicts long-term outcomes after laparoscopic gastrectomy for advanced gastric cancer by Shuangshuang Hou, Yang Yu, Nanbo Li, Wenjing Yu, Zhiyuan Dai, He Li, Lianyi Guo, Jiajun Yin, Ju Wu

    Published 2025-08-01
    “…Preoperative risk stratification using s-ALBI may help guide personalized treatment plans and optimize therapeutic decision-making.…”
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    Clinical and Imaging Characteristics to Discriminate Between Complicated and Uncomplicated Acute Cholecystitis: A Regression Model and Decision Tree Analysis by Yu Chen, Ning Kuo, Hui-An Lin, Chun-Chieh Chao, Suhwon Lee, Cheng-Han Tsai, Sheng-Feng Lin, Sen-Kuang Hou

    Published 2025-07-01
    “…A novel scoring system incorporating these variables demonstrated good diagnostic performance, with an area under the curve (AUC) of 0.775 and an optimal cutoff score of ≥2 points. Decision tree analysis similarly identified these four predictors as critical determinants in stratifying disease severity. …”
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