Development of a Risk Prediction Model to Individualize Risk Factors for Surgical Site Infection After Mastectomy

التفاصيل البيبلوغرافية
العنوان: Development of a Risk Prediction Model to Individualize Risk Factors for Surgical Site Infection After Mastectomy
المؤلفون: Kelly E. Ball, Katelin B. Nickel, Julie A. Margenthaler, Margaret A. Olsen, Graham A. Colditz, Anna E. Wallace, Daniel Mines, Ida K. Fox, Victoria J. Fraser
المصدر: Annals of Surgical Oncology. 23:2471-2479
بيانات النشر: Springer Science and Business Media LLC, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Adult, medicine.medical_specialty, Adolescent, medicine.medical_treatment, Population, Breast Neoplasms, Lower risk, Logistic regression, Article, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Humans, Surgical Wound Infection, Medicine, 030212 general & internal medicine, education, Mastectomy, Depression (differential diagnoses), Retrospective Studies, education.field_of_study, business.industry, Retrospective cohort study, Middle Aged, Surgery, Oncology, 030220 oncology & carcinogenesis, Cohort, Female, Diagnosis code, business
الوصف: Little data are available regarding individual patients’ risk of surgical site infection (SSI) following mastectomy with or without immediate reconstruction. Our objective was to develop a risk prediction model for mastectomy-related SSI. Using commercial claims data, we established a cohort of women
تدمد: 1534-4681
1068-9265
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::341c428179d271baecf52ca2649bee78
https://doi.org/10.1245/s10434-015-5083-1
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....341c428179d271baecf52ca2649bee78
قاعدة البيانات: OpenAIRE