There are few procedures as controversial as the sentinel lymph node biopsy (SLNB) in the treatment of cutaneous melanoma. Early proponents hypothesized it would improve patient outcomes and provide valuable prognostic information. The Multicenter Selective Lymphadenectomy Trial (MSLT-1), 1 however, demonstrated that addition of SLNB to wide excision did not improve melanoma-specific survival (MSS). The MSLT-2 trial and the German Dermatologic Cooperative Oncology Group trials 1 further showed that among patients with a positive SLNB, completion lymph node dissection (CLND) did not improve MSS or overall survival (OS), respectively. Although controversy persists regarding a potential reduction in MSS in selected subgroup analyses of patients with intermediate-thickness melanoma, the findings from these trials redefined the primary role of SLNB to that of a prognostic test, which subsequent adjuvant therapy trials have used as eligibility criteria for systemic therapy.In MSLT-1, the SLNB was interpreted as the strongest predictor of disease recurrence or death from melanoma. 1 Bigby et al, 2 however, questioned the contemporary role of the SLNB, noting that the added prognostic value of SLNB status to standard clinicopathological factors remains unproven. To address this need, El Sharouni et al 3 recently characterized the added prognostic utility of SLNB. The authors created clinicopathological only (CP) (based on tumor thickness, sex, age, anatomical site, mitoses, ulceration, regression, and subtype) and clinicopathological plus SLNB (CP-SLN) prediction models from a cohort of 9272 Dutch patients and validated the models' performance in 5644 Australian patients. Similar to MSLT-1, 4 SLNB status was a robust predictor of recurrence-free survival (hazard ratio, 2.7). In addition, the CP-SLN model had higher discrimination (area under the curve) than the CP model for prediction of all survival outcomes, underscoring the prognostic validity of SLNB.However, these data do not tell us whether the information gained from SLNB leads to better treatment choices. For this, decision curve analysis was used by El Sharouni et al 3 to investigate SLNB's clinical utility. To interpret a decision curve, one needs to specify a risk threshold for a particular melanoma treatment. Although risk thresholds are poorly quantified, some US clinicians would obtain cross-sectional imaging (eg, computed tomographic scan) for a patient with American Joint Committee on Cancer Staging Manual, 8th Edition, stage IIB-positive disease (approximately 87% MSS), as National Comprehensive Care Network (NCCN) guidelines state to consider imaging in this population for occult metastatic disease. This suggests that an ap-VIEWPOINT