Background: We describe initial success in designing and implementing an objective evaluation for opening and closing a simulated abdomen.
Methods: (1) An assessment for laparotomy was created using peer-reviewed literature, texts, and the input of academic surgeons nationally; (2) the assessment was evaluated for construct validity, comparing the videotaped performance of laparotomy by surgical experts and novices on a viscoelastic model; and (3) the basics of open laparotomy training (BOLT) curriculum was piloted with junior residents to evaluate efficacy at improving performance.
Results: Experts performed better than novices opening (.94 vs .51; P < .001), closing (.85 vs .16; P < .001), and overall performance (.88 vs .27; P < .001). Novices caused bowel injury more frequently (5 vs 1; P < .05) and took longer to open the abdomen (6:06 vs 3:43; P = .01). After completing the BOLT curriculum, novices improved for opening (1.00 vs .50; P = .014), closing (.80 vs .10; P = .014), and overall score (.87 vs .23; P = .014).
Conclusions: We demonstrate construct validity of an evaluation tool for simulated laparotomy, and pilot efforts with the BOLT curriculum have shown promise.
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http://dx.doi.org/10.1016/j.amjsurg.2015.12.022 | DOI Listing |
Acad Radiol
December 2024
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.T., Y.W., Y.Y., X.Q., Y.H., J.L.); Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, Guangxi Zhuang Autonomous Region, PR China (J.L.). Electronic address:
Rationale And Objectives: To develop a radiomics nomogram based on clinical and magnetic resonance features to predict lymph node metastasis (LNM) in endometrial cancer (EC).
Materials And Methods: We retrospectively collected 308 patients with endometrial cancer (EC) from two centers. These patients were divided into a training set (n=155), a test set (n=67), and an external validation set (n=86).
J Allergy Clin Immunol
December 2024
Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, University of Cincinnati, USA.
Background: There is no global agreement on the definition of Chronic Spontaneous Urticaria (CSU) remission.
Objective: To generate a consensus for clinical definitions in CSU focused on remission.
Methods: The World Allergy Organization (WAO) Urticaria Committee systematically reviewed current available longitudinal articles.
Int J Biol Macromol
December 2024
State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China. Electronic address:
Intrauterine growth retardation (IUGR) has become a difficult problem in animal husbandry and is often accompanied by the occurrence of metabolic syndrome. tRNA-derived small RNAs (tsRNAs) are a novel class of regulatory small noncoding RNAs. However, the involvement of tsRNA in regulating the mechanism of IUGR remains unclear.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Institute of Agro-Products Processing Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture, Beijing 100193, China. Electronic address:
Natural Xanthine oxidase (XOD) inhibitors represent promising therapeutic agents for hyperuricemia (HUA) treatment due to their potent efficacy and favorable safety profiles. This study involved the construction of a comprehensive database of 315 XOD inhibitors and development of 28 machine learning-based QSAR models. The ChemoPy light gradient boosting machine model exhibited the best performance (AUC = 0.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Computer Science, Wuhan University, Luojiashan Road, Wuchang District., Wuhan, 430072, Hubei Province, China; Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, No. 8, Yangqiaohu Avenue, Zanglong Island Development Zone, Jiangxia District, Wuhan, 2007, Hubei Province, China. Electronic address:
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.
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