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Table 3 Multivariate logistic regression model showing the key clinicopathologic factors contributing to the MDT recommendation of chemotherapy in early breast cancer

From: Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach

Variable OR 95% C.I.
Age (per year) 0.86 (0.83–0.89)
Number of involved axillary lymph nodes (per node) 1.42 (1.22–1.64)
Primary tumour size (per mm) 1.04 (1.02–1.06)
Histology - Grade 3 14.5 (2.59–81.5)
Oestrogen receptor (ER) - positive 0.12 (0.038–0.37)
HER2 (by in situ hybridisation assay) - positive 14.2 (5.37–37.6)
Ki-67 (%, per 1% increase) 1.02 (1.0–1.04)
  1. A separate analysis using maximum-likelihood multivariate logistic regression of seven variable first identified by the cfsSubset feature selection algorithm using best-first search strategy [26]
  2. Abbreviation: OR The odds ratio of adjuvant chemotherapy being recommended by the MDT. Results from this table were presented as a scientific poster at the Annual Scientific Meeting of the Medical Oncology Group Australia, Surfers Paradise, Australia, 2-5 August 2016 [27]