scholarly journals Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model

Biometrics ◽  
2021 ◽  
Author(s):  
Gabriel Isheden ◽  
Kamila Czene ◽  
Keith Humphreys
2016 ◽  
Vol 41 (4) ◽  
pp. e181-e186 ◽  
Author(s):  
Suzana Cipriano Teixeira ◽  
Bas B. Koolen ◽  
Wouter V. Vogel ◽  
Jelle Wesseling ◽  
Marcel P. M. Stokkel ◽  
...  

The Breast ◽  
1997 ◽  
Vol 6 (3) ◽  
pp. 143-145 ◽  
Author(s):  
C.I. Perre ◽  
V.C.M. Koot ◽  
E.P.A. van der Heijden ◽  
V. Vossen ◽  
J.R. de Jong ◽  
...  

2010 ◽  
Vol 8 (3) ◽  
pp. 153-154
Author(s):  
R. van la Parra ◽  
C. Francissen ◽  
P.G. Peer ◽  
M.F. Ernst ◽  
D. Mulder ◽  
...  

Oncology ◽  
2021 ◽  
pp. 1-5
Author(s):  
Vilma Madekivi ◽  
Antti Karlsson ◽  
Pia Boström ◽  
Eeva Salminen

Background: Nomograms can help in estimating the nodal status among clinically node-negative patients. Yet their validity in external cohorts over time is unknown. If the nodal stage can be estimated preoperatively, the need for axillary dissection can be decided. Objectives: The aim of this study was to validate three existing nomograms predicting 4 or more axillary lymph node metastases. Method: The risk for ≥4 lymph node metastases was calculated for n = 529 eligible breast cancer patients using the nomograms of Chagpar et al. [Ann Surg Oncol. 2007;14:670–7], Katz et al. [J Clin Oncol. 2008;26(13):2093–8], and Meretoja et al. [Breast Cancer Res Treat. 2013;138(3):817–27]. Discrimination and calibration were calculated for each nomogram to determine their validity. Results: In this cohort, the AUC values for the Chagpar, Katz, and Meretoja models were 0.79 (95% CI 0.74–0.83), 0.87 (95% CI 0.83–0.91), and 0.82 (95% CI 0.76–0.86), respectively, showing good discrimination between patients with and without high nodal burdens. Conclusion: This study presents support for the use of older breast cancer nomograms and confirms their current validity in an external population.


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