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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]
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BMC Cancer

ISSN: 1471-2407

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