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Individual patient data meta-analysis of beta-blockers in heart failure: rationale and design

Overview of attention for article published in Systematic Reviews, January 2013
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Title
Individual patient data meta-analysis of beta-blockers in heart failure: rationale and design
Published in
Systematic Reviews, January 2013
DOI 10.1186/2046-4053-2-7
Pubmed ID
Authors

Dipak Kotecha, Luis Manzano, Douglas G Altman, Henry Krum, Guliz Erdem, Nicola Williams, Marcus D Flather

Abstract

The Beta-Blockers in Heart Failure Collaborative Group (BB-HF) was formed to obtain and analyze individual patient data from the major randomized controlled trials of beta-blockers in heart failure. Even though beta-blockers are an established treatment for heart failure, uptake is still sub-optimal. Further, the balance of efficacy and safety remains uncertain for common groups including older persons, women, those with impaired renal function and diabetes. Our aim is to provide clinicians with a thorough and definitive evidence-based assessment of these agents. We have identified 11 large randomized trials of beta-blockers versus placebo in heart failure and plan to meta-analyze the data on an individual patient level. In total, these trials have enrolled 18,630 patients. Uniquely, the BB-HF group has secured access to the individual data for all of these trials, with the participation of key investigators and pharmaceutical companies.Our principal objectives include deriving an overall estimate of efficacy for all-cause mortality and cardiovascular hospitalization. Importantly, we propose a statistically-robust sub-group assessment according to age, gender, diabetes and other key factors; analyses which are only achievable using an individual patient data meta-analysis. Further, we aim to provide an assessment of economic benefit and develop a risk model for the prognosis of patients with chronic heart failure.This paper outlines inclusion criteria, search strategies, outcome measures and planned statistical analyses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Other 7 13%
Student > Bachelor 7 13%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 25 45%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Agricultural and Biological Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Social Sciences 2 4%
Other 5 9%
Unknown 14 25%
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 07 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from Systematic Reviews
#1,777
of 1,988 outputs
Outputs of similar age
#221,380
of 284,927 outputs
Outputs of similar age from Systematic Reviews
#14
of 16 outputs
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.