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Propranolol and survival from breast cancer: a pooled analysis of European breast cancer cohorts

Overview of attention for article published in Breast Cancer Research, December 2016
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Title
Propranolol and survival from breast cancer: a pooled analysis of European breast cancer cohorts
Published in
Breast Cancer Research, December 2016
DOI 10.1186/s13058-016-0782-5
Pubmed ID
Authors

Chris R. Cardwell, Anton Pottegård, Evelien Vaes, Hans Garmo, Liam J. Murray, Chris Brown, Pauline A. J. Vissers, Michael O’Rorke, Kala Visvanathan, Deirdre Cronin-Fenton, Harlinde De Schutter, Mats Lambe, Des G. Powe, Myrthe P. P. van Herk-Sukel, Anna Gavin, Søren Friis, Linda Sharp, Kathleen Bennett

Abstract

Preclinical studies have demonstrated that propranolol inhibits several pathways involved in breast cancer progression and metastasis. We investigated whether breast cancer patients who used propranolol, or other non-selective beta-blockers, had reduced breast cancer-specific or all-cause mortality in eight European cohorts. Incident breast cancer patients were identified from eight cancer registries and compiled through the European Cancer Pharmacoepidemiology Network. Propranolol and non-selective beta-blocker use was ascertained for each patient. Breast cancer-specific and all-cause mortality were available for five and eight cohorts, respectively. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CIs) for cancer-specific and all-cause mortality by propranolol and non-selective beta-blocker use. HRs were pooled across cohorts using meta-analysis techniques. Dose-response analyses by number of prescriptions were also performed. Analyses were repeated investigating propranolol use before cancer diagnosis. The combined study population included 55,252 and 133,251 breast cancer patients in the analysis of breast cancer-specific and all-cause mortality respectively. Overall, there was no association between propranolol use after diagnosis of breast cancer and breast cancer-specific or all-cause mortality (fully adjusted HR = 0.94, 95% CI, 0.77, 1.16 and HR = 1.09, 95% CI, 0.93, 1.28, respectively). There was little evidence of a dose-response relationship. There was also no association between propranolol use before breast cancer diagnosis and breast cancer-specific or all-cause mortality (fully adjusted HR = 1.03, 95% CI, 0.86, 1.22 and HR = 1.02, 95% CI, 0.94, 1.10, respectively). Similar null associations were observed for non-selective beta-blockers. In this large pooled analysis of breast cancer patients, use of propranolol or non-selective beta-blockers was not associated with improved survival.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Bachelor 9 13%
Student > Ph. D. Student 7 10%
Other 7 10%
Student > Master 7 10%
Other 11 15%
Unknown 18 25%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Agricultural and Biological Sciences 9 13%
Biochemistry, Genetics and Molecular Biology 6 8%
Nursing and Health Professions 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 17%
Unknown 19 26%
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 03 December 2019.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Breast Cancer Research
#1,654
of 2,052 outputs
Outputs of similar age
#297,834
of 416,429 outputs
Outputs of similar age from Breast Cancer Research
#18
of 24 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 16th percentile – i.e., 16% 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 416,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.