Overview

Collaborative Systematic Overview of Randomised Controlled Trials of Beta-Blockers in the Treatment of Heart Failure

Status:
Unknown status
Trial end date:
2012-12-01
Target enrollment:
0
Participant gender:
All
Summary
Several large trials have shown that beta-blocker treatment reduces the risk of death and hospital admission in patients with symptomatic heart failure. Unfortunately, survey data suggests relatively poor utilisation of beta-blockers, despite ample evidence for good tolerability. Additionally there are several important unanswered questions, such as clinical efficacy for specific sub-populations (women, the elderly and patients with diabetes or other co-morbidities) and the effect of beta-blockers in combination with other medications. Previous meta-analyses, based on published tabular data, have been conducted although this approach has important biases and limitations. We plan to perform a carefully conducted systematic review of individual patient data from the major randomised trials of beta-blockers in heart failure. The goals of this collaborative project are to clarify the overall efficacy of beta-blockers and identify sub-groups that show particular benefit, thereby increasing the use of beta-blockers, reducing adverse clinical outcomes and the high costs associated with this condition.
Accepts Healthy Volunteers?
No
Details
Lead Sponsor:
Royal Brompton & Harefield NHS Foundation Trust
Collaborator:
University of Oxford
Treatments:
Adrenergic beta-Antagonists
Bisoprolol
Bucindolol
Carvedilol
Metoprolol
Nebivolol
Criteria
Inclusion Criteria:

- Randomised control trials of beta-blocker versus control in patients with documented
heart failure

- Unconfounded trials only (in which one treatment group differed from another only by
the beta-blocker therapy of interest)

- Randomization process precluded prior knowledge of the next treatment (for example
trials in which treatment allocation was alternate or based on odd or even dates would
not be included)

Exclusion Criteria:

- Trial sample size of less than 300 patients