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Prognostic value of the lymph node ratio for lymph-node-positive breast cancer- is it just a denominator problem?

Overview of attention for article published in SpringerPlus, March 2015
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Title
Prognostic value of the lymph node ratio for lymph-node-positive breast cancer- is it just a denominator problem?
Published in
SpringerPlus, March 2015
DOI 10.1186/s40064-015-0865-2
Pubmed ID
Authors

Upali W Jayasinghe, Nirmala Pathmanathan, Elisabeth Elder, John Boyages

Abstract

To examine the prognostic value of lymph node ratio (LNR) for patients with node-positive breast cancer with varying numbers of minimum nodes removed (>5, > 10 and > 15 total node count). This study examined the original histopathological reports of 332 node-positive patients treated in the state of New South Wales (NSW), Australia between 1 April 1995 and 30 September 1995. The LNR was defined as the number of positive lymph nodes (LNs) over the total number of LNs removed. The LNR cutoffs were defined as low-risk, 0.01-0.20; intermediate-risk, 0.21- 0.65; and high-risk, LNR >0.65. The median follow-up was 10.3 years. In multivariate analysis, LNR was an independent predictor of 10-year breast cancer specific survival when > 5 nodes were removed. However, LNR was not an independent predictor when > 15 nodes were removed. In a multivariate analysis the relative risk of death (RR) decreased from 2.20 to 1.05 for intermediate-risk LNR and from 3.07 to 2.64 for high-risk while P values increased from 0.027 to 0.957 for intermediate-risk LNR and 0.018 to 0.322 for high-risk with the number of nodes removed increasing from > 5 to > 15. Although LNR is important for patients with low node denominators, for patients with macroscopic nodal metastases in several nodes following an axillary dissection who have more than 15 nodes dissected, the oncologist can be satisfied that prognosis, selection of adjuvant chemotherapy and radiotherapy fields can be based on the numerator of the positive nodes.

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 20%
Other 1 10%
Professor 1 10%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 5 50%
Computer Science 1 10%
Immunology and Microbiology 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 2 20%