Are Nomograms Useful for Predicting Sentinel Lymph Node Status in Melanoma Patients?
Autor: | Lourdault K; Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA., Cowman AW; Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA., Hanes D; Providence Research Network, Portland, Oregon, USA., Scholer AJ; Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA., Aguilar T; Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA., Essner R; Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA. |
---|---|
Jazyk: | angličtina |
Zdroj: | Journal of surgical oncology [J Surg Oncol] 2024 Nov 17. Date of Electronic Publication: 2024 Nov 17. |
DOI: | 10.1002/jso.27976 |
Abstrakt: | Background and Objectives: Clinical nomograms have been developed to predict sentinel lymph node (SLN) status in early-stage melanoma patients, but the clinical utility of these tools remains debatable. We created and validated a nomogram using data from a randomized clinical trial and assessed its accuracy against the well-validated Melanoma Institute Australia (MIA) nomogram. Methods: We developed our model to predict SLN status using logistic regression on clinicopathological patient data from the Multicenter Selective Lymphadenectomy Trial-I. The model was externally validated using the National Cancer Database (NCDB) data set, and its performance was compared to that of the MIA nomogram. Results: Our model had good discrimination between positive and negative SLNs, with a training set area under the curve (AUC) of 0.706 (0.661-0.751). Our model achieved an AUC of 0.715 (0.706-0.724) compared to 0.723 (0.715-0.731) with the MIA model, using the NCDB set. Conclusion: Our model performed similarly to the MIA model, confirming that despite using different clinical features and data sets, no clinical nomogram is currently accurate enough for clinical use. (© 2024 The Author(s). Journal of Surgical Oncology published by Wiley Periodicals LLC.) |
Databáze: | MEDLINE |
Externí odkaz: |