Analysis of decision making at a multidisciplinary head and neck tumor board incorporating evidence-based National Cancer Comprehensive Network (NCCN) guidelines
Autor: | Muhammad M. Qureshi, Timothy P. Cooley, Bhartesh A. Shah, Osamu Sakai, Gregory A. Grillone, Scharukh Jalisi, Andrew Salama, Minh Tam Truong, Ken S. Zaner |
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Rok vydání: | 2015 |
Předmět: |
Adult
Male medicine.medical_specialty Evidence-based practice Decision Making MEDLINE Bioinformatics 03 medical and health sciences 0302 clinical medicine Multidisciplinary approach medicine Humans Radiology Nuclear Medicine and imaging 030223 otorhinolaryngology Retrospective Studies business.industry Head and neck cancer Cancer Retrospective cohort study Evidence-based medicine Guideline Middle Aged medicine.disease Oncology Head and Neck Neoplasms 030220 oncology & carcinogenesis Emergency medicine Female Guideline Adherence business |
Zdroj: | Practical radiation oncology. 6(4) |
ISSN: | 1879-8519 |
Popis: | Purpose To evaluate incorporation of National Cancer Comprehensive Network (NCCN) guidelines in decision making at a head and neck cancer (HNC) multidisciplinary tumor board (MDT) at an urban academic medical center. Methods and materials A retrospective study of 176 HNC patients was performed. The extent to which MDT decisions and subsequent patient care incorporate NCCN guidelines was evaluated. Results A total of 173 (98.3%) HNC patients received MDT recommendations according to NCCN guidelines. Of the 159 patients treated, 153 (96.2%) received treatment according to NCCN guidelines. The MDT recommended the highest available evidence-based NCCN category guideline in 78.0%. Subsequent treatment using the same or higher category MDT recommendation occurred in 87.0% of patients. Conclusions Evaluation of patients at an MDT using NCCN guidelines incorporates the highest level of evidence in approximately 80% of patients and translates well into subsequent care. Incorporation of the highest available NCCN guideline may be improved, although management should be individualized. |
Databáze: | OpenAIRE |
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