Studies of Beta Blockers During and After Myocardial Infarction
Results from studies examining the effectiveness of beta blockers for reducing mortality and reinfarction.
dat.yusuf1985
The data frame contains the following columns:
| table | character |
table number |
| id | character |
trial id number |
| trial | character |
trial name or first author |
| ai | numeric |
number of deaths/reinfarctions in treatment group |
| n1i | numeric |
number of patients in treatment group |
| ci | numeric |
number of deaths/reinfarctions in control group |
| n2i | numeric |
number of patients in control group |
The dataset contains table 6 (total mortality from short-term trials of oral beta blockers), 9 (total mortality at one week from trials with an initial IV dose of a beta blocker), 10 (total mortality from long-term trials with treatment starting late and mortality from day 8 onwards in long-term trials that began early and continued after discharge), 11 (nonfatal reinfarction from long-term trials of beta blockers), 12a (sudden death in long-term beta blocker trials), and 12b (nonsudden death in long-term beta blocker trials) from the meta-analysis by Yusuf et al. (1985) on the effectiveness of of beta blockers for reducing mortality and reinfarction.
The article also describes what is sometimes called Peto's one-step method for meta-analyzing 2x2 table data. This method is implemented in the rma.peto function.
Yusuf, S., Peto, R., Lewis, J., Collins, R., & Sleight, P. (1985). Beta blockade during and after myocardial infarction: An overview of the randomized trials. Progress in Cardiovascular Disease, 27, 335–371.
### copy data into 'dat' dat <- dat.yusuf1985 ### to select a table for the analysis tab <- "6" ### either: 6, 9, 10, 11, 12a, 12b ### to double-check total counts as reported in article apply(dat[dat$table==tab,4:7], 2, sum, na.rm=TRUE) ### meta-analysis using Peto's one-step method res <- rma.peto(ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat, subset=(table==tab)) res predict(res, transf=exp, digits=2)
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