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Dove Medical Press

The effects of beta-blocker use on cancer prognosis: a meta-analysis based on 319,006 patients

Overview of attention for article published in OncoTargets and therapy, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
67 Mendeley
Title
The effects of beta-blocker use on cancer prognosis: a meta-analysis based on 319,006 patients
Published in
OncoTargets and therapy, August 2018
DOI 10.2147/ott.s167422
Pubmed ID
Authors

Zhijing Na, Xinbo Qiao, Xuanyu Hao, Ling Fan, Yao Xiao, Yining Shao, Mingwei Sun, Ziyi Feng, Wen Guo, Jiapo Li, Jiatong Li, Dongyang Li

Abstract

Beta-blockers are antihypertensive drugs and have shown potential in cancer prognosis. However, this benefit has not been well defined due to inconsistent results from the published studies. To investigate the association between administration of beta-blocker and cancer prognosis, we performed a meta-analysis. A literature search of PubMed, Embase, Cochrane Library, and Web of Science was conducted to identify all relevant studies published up to September 1, 2017. Thirty-six studies involving 319,006 patients were included. Hazard ratios were pooled using a random-effects model. Subgroup analyses were conducted by stratifying ethnicity, duration of drug use, cancer stage, sample size, beta-blocker type, chronological order of drug use, and different types of cancers. Overall, there was no evidence to suggest an association between beta-blocker use and overall survival (HR=0.94, 95% CI: 0.87-1.03), all-cause mortality (HR=0.99, 95% CI: 0.94-1.05), disease-free survival (HR=0.59, 95% CI: 0.30-1.17), progression-free survival (HR=0.90, 95% CI: 0.79-1.02), and recurrence-free survival (HR=0.99, 95% CI: 0.76-1.28), as well. In contrast, beta-blocker use was significantly associated with better cancer-specific survival (CSS) (HR=0.78, 95% CI: 0.65-0.95). Subgroup analysis generally supported main results. But there is still heterogeneity among cancer types that beta-blocker use is associated with improved survival among patients with ovarian cancer, pancreatic cancer, and melanoma. The present meta-analysis generally demonstrates no association between beta-blocker use and cancer prognosis except for CSS in all population groups examined. High-quality studies should be conducted to confirm this conclusion in future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Other 10 15%
Student > Ph. D. Student 9 13%
Researcher 9 13%
Student > Master 5 7%
Student > Bachelor 4 6%
Other 13 19%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 23 34%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 3 4%
Immunology and Microbiology 3 4%
Veterinary Science and Veterinary Medicine 2 3%
Other 13 19%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 14 January 2021.
All research outputs
#2,290,627
of 25,628,260 outputs
Outputs from OncoTargets and therapy
#56
of 3,012 outputs
Outputs of similar age
#45,160
of 342,601 outputs
Outputs of similar age from OncoTargets and therapy
#2
of 114 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,012 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% of its peers.
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 342,601 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.