Implementation of Choosing Wisely guidelines: Omission of lymph node surgery

Objectives: In 2016, the Choosing Wisely campaign published guidelines recommending omission of sentinel lymph node biopsy in clinically node-negative women >70 years with early-stage (cT1-2), hormone receptor-positive, and human epidermal growth factor receptor 2-negative breast cancers. This study aimed to evaluate the implementation of this guideline. Methods: The National Cancer Database was queried from 2017 to 2020. All patients who met criteria for lymph node surgery omission were included and compared with those who underwent lymph node surgery. Results: Of 138,648 patients who met criteria for lymph node surgery omission, 26,070 (21.0%) had lymph node surgery omission and 109,482 (79.0%) underwent lymph node surgery. Those who had lymph node surgery omission were older (median 79 [75-84] vs 75 [72-79] years, P < .01) and had increased comorbidities (28.3% with Charlson/Deyo score >3 had lymph node surgery omission vs 20.2% with score 0, P < .01). Academic/research institutions most frequently practiced lymph node surgery omission (25.8% vs 16.5% community cancer programs, 19.3% comprehensive community cancer programs, and 20.6% integrated network cancer programs, P < .01). A greater percentage of lymph node surgery omission was noted with ductal carcinoma (21.4% vs 17.6% lobular and 19.4% mixed, P < .01) and lower-grade tumors (21.7% of grade 1 vs 19.4% of grade 2 and 17.8% of grade 3, P < .01). Throughout the period studied, the overall rate of lymph node surgery omission increased from 17.7% in 2017 to 23.1% in 2020 (P < .01). Conclusion: Despite the evidence-based Choosing Wisely guideline recommending lymph node surgery omission in selected patients with breast cancer, more than 75% of patients meeting criteria were still being subjected to lymph node surgery as of 2020. Future work is warranted to determine factors affecting implementation of the Choosing Wisely guideline. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.