Preoperative Blood Glucose Level Predicts Postsurgical Gastroparesis Syndrome after Subtotal Gastrectomy: Development of an Individualized Usable Nomogram
المؤلفون المشاركون
Mao, Chenchen
Liu, Xin
Huang, Yunshi
Shi, Mingming
Meng, Weiyang
Xu, Libin
Chen, Weisheng
Hu, Yuanbo
Yang, Xinxin
Chen, Xiaodong
Shen, Xian
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-14
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Background.
Postsurgical gastroparesis syndrome (PGS) after subtotal gastrectomy imposes significant social and economic burdens.
We aimed to investigate the relationship between preoperative blood glucose level and PGS and develop a nomogram for individualized prediction.
Patients and Methods.
We retrospectively analyzed 633 patients with gastric cancer who underwent subtotal gastrectomy.
Preoperative blood glucose levels were evaluated via receiver operating characteristic (ROC) curve analysis.
Chi-squared tests and multivariable logistic regression analyses were used to develop a predictive model for PGS, presented as a nomogram, which was assessed for its clinical usefulness.
Results.
Thirty-eight of 633 patients were diagnosed with PGS.
Based on the ROC curve analysis, the preoperative blood glucose cutoff value for PGS was 6.25 mmol/L.
The predictors of PGS included preoperative hyperglycemia (odds ratio (OR) 2.3, P=0.03), body mass index (BMI; OR 0.21, P=0.14 for BMI<18.5 and OR 3.0, P=0.004 for BMI>24), and the anastomotic method (OR 7.3, P=0.001 for Billroth II and OR 5.9, P=0.15 for Roux-en-Y).
The predictive model showed good discrimination ability, with a C-index of 0.710, and was clinically useful.
Conclusions.
Preoperative hyperglycemia effectively predicts PGS.
We present a nomogram incorporating the preoperative blood glucose level, BMI, anastomotic method, and tumor size, for individualized prediction of PGS.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mao, Chenchen& Liu, Xin& Huang, Yunshi& Shi, Mingming& Meng, Weiyang& Xu, Libin…[et al.]. 2020. Preoperative Blood Glucose Level Predicts Postsurgical Gastroparesis Syndrome after Subtotal Gastrectomy: Development of an Individualized Usable Nomogram. Journal of Diabetes Research،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1183332
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mao, Chenchen…[et al.]. Preoperative Blood Glucose Level Predicts Postsurgical Gastroparesis Syndrome after Subtotal Gastrectomy: Development of an Individualized Usable Nomogram. Journal of Diabetes Research No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1183332
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mao, Chenchen& Liu, Xin& Huang, Yunshi& Shi, Mingming& Meng, Weiyang& Xu, Libin…[et al.]. Preoperative Blood Glucose Level Predicts Postsurgical Gastroparesis Syndrome after Subtotal Gastrectomy: Development of an Individualized Usable Nomogram. Journal of Diabetes Research. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1183332
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1183332
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر