dat.hart1999: Studies on the Effectiveness of Warfarin for Preventing...

In metadat: Meta-Analysis Datasets

Studies on the Effectiveness of Warfarin for Preventing Strokes

Description

Results from 6 clinical trials examining the effectiveness of adjusted-dose warfarin for preventing strokes in patients with atrial fibrillation.

Usage

dat.hart1999

Format

The data frame contains the following columns:

trial	numeric	trial number
study	character	study name (abbreviated)
year	numeric	publication year
x1i	numeric	number of strokes in the warfarin group
n1i	numeric	number of patients in the warfarin group
t1i	numeric	total person-time (in years) in the warfarin group
x2i	numeric	number of strokes in the placebo/control group
n2i	numeric	number of patients in the placebo/control group
t2i	numeric	total person-time (in years) in the placebo/control group
compgrp	character	type of comparison group (placebo or control)
prevtype	character	type of prevention (primary or secondary)
trinr	character	target range for the international normalized ratio (INR)

Details

The 6 studies provide data with respect to the number of strokes in the warfarin and the comparison (placebo or control) group. In addition, the number of patients and the total person-time (in years) is provided for the two groups. The goal of the meta-analysis was to examine the effectiveness of adjusted-dose warfarin for preventing strokes in patients with atrial fibrillation.

Concepts

medicine, cardiology, incidence rates

Author(s)

Wolfgang Viechtbauer, [e-mail], https://www.metafor-project.org

Source

Hart, R. G., Benavente, O., McBride, R., & Pearce, L. A. (1999). Antithrombotic therapy to prevent stroke in patients with atrial fibrillation: A meta-analysis. Annals of Internal Medicine, 131(7), 492–501. https://doi.org/10.7326/0003-4819-131-7-199910050-00003

Examples

### copy data into 'dat' and examine data
dat <- dat.hart1999
dat

## Not run: 

### load metafor package
library(metafor)

### calculate log incidence rate ratios and corresponding sampling variances
dat <- escalc(measure="IRR", x1i=x1i, x2i=x2i, t1i=t1i, t2i=t2i, data=dat)
dat

### meta-analysis of log incidence rate ratios using a random-effects model
res <- rma(yi, vi, data=dat)
res

### average incidence rate ratio with 95% CI
predict(res, transf=exp)

### forest plot with extra annotations
par(mar=c(5,4,1,2))
forest(res, xlim=c(-11, 5), at=log(c(.05, .25, 1, 4)), atransf=exp,
       slab=paste0(study, " (", year, ")"),
       ilab=cbind(paste(x1i, "/", t1i, sep=" "),
                  paste(x2i, "/", t2i, sep=" ")),
       ilab.xpos=c(-6.5,-4), cex=.85, header="Study (Year)")
op <- par(cex=.85, font=2)
text(c(-6.5,-4), 8.5, c("Warfarin", "Control"))
text(c(-6.5,-4), 7.5, c("Strokes / PT", "Strokes / PT"))
segments(x0=-8, y0=8, x1=-2.75, y1=8)
par(op)

### meta-analysis of incidence rate differences using a random-effects model
res <- rma(measure="IRD", x1i=x1i, x2i=x2i, t1i=t1i, t2i=t2i, data=dat)
res


## End(Not run)

metadat documentation built on April 6, 2022, 5:08 p.m.