↓ Skip to main content

Medication use trajectories of postmenopausal breast cancer survivors and matched cancer-free controls

Overview of attention for article published in Breast Cancer Research and Treatment, April 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
25 Mendeley
Title
Medication use trajectories of postmenopausal breast cancer survivors and matched cancer-free controls
Published in
Breast Cancer Research and Treatment, April 2016
DOI 10.1007/s10549-016-3773-4
Pubmed ID
Authors

Kathy Pan, Rowan T. Chlebowski, Michael S. Simon, Roberta M. Ray, Jennifer Livaudais-Toman, Shannon D. Sullivan, Marcia L. Stefanick, Robert B. Wallace, Meryl LeBoff, Elizabeth Carhart Bluhm, Electra D. Paskett

Abstract

While adverse medical sequelae are associated with breast cancer therapies, information on breast cancer impact on medication use is limited. Therefore, we compared medication use before and after diagnosis of early stage breast cancer to medication use in matched, cancer-free controls. Of 68,132 Women's Health Initiative participants, 3726 were diagnosed with breast cancer and, after exclusions, in 1731 breast cancer cases, medication use before and >3 years after diagnosis (mean 5.3 ± 2.1 SD) was compared to use in 1731 cancer-free matched controls on similar inventory dates. The medication category number at follow-up inventory was the primary study outcome. Medication category use (n, mean, SD) was comparable at baseline and significantly increased at follow-up in both cases (2.48 ± 1.66 vs. 4.15 ± 2.13, baseline vs follow-up, respectively, P < .0001) and controls (2.44 ± 1.67 vs. 3.95 ± 2.13, respectively, P < .0001), with clinically marginal but statistically significant additional medication category use by cases (0.20 ± 2.40, P < .0001). Tamoxifen users used somewhat more selected medication categories at follow-up assessment (mean 3.40 ± 1.89 vs. 3.21 ± 1.99, respectively, P = 0.05), while aromatase inhibitor users used more medication categories (mean 4.85 ± 2.10 vs. 4.44 ± 1.94, respectively, P = 0.02). No increase in medication category was seen in cases who were not current endocrine therapy users. Breast cancer survivors having only a clinically marginal increase in medication use compared to cancer-free controls. These findings highlight the importance of incorporation of control populations in studies of cancer survivorship.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Ph. D. Student 4 16%
Lecturer 2 8%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 11 44%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Nursing and Health Professions 2 8%
Chemical Engineering 1 4%
Mathematics 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2016.
All research outputs
#20,320,000
of 22,862,742 outputs
Outputs from Breast Cancer Research and Treatment
#4,108
of 4,659 outputs
Outputs of similar age
#254,940
of 300,866 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#59
of 88 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,659 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.