dat.anand1999 {metadat} | R Documentation |
Studies on the Effectiveness of Oral Anticoagulants in Patients with Coronary Artery Disease
Description
Results from 34 trials examining the effectiveness of oral anticoagulants in patients with coronary artery disease.
Usage
dat.anand1999
Format
The data frame contains the following columns:
study | character | author(s) or trial name |
year | numeric | publication year |
intensity | character | intensity of anticoagulation (low, medium, or high) |
asp.t | numeric | concomitant use of aspirin in the treatment group (0 = no, 1 = yes) |
asp.c | numeric | concomitant use of aspirin in the control group (0 = no, 1 = yes) |
ai | numeric | number of deaths in the treatment group |
n1i | numeric | number of patients in the treatment group |
ci | numeric | number of deaths in the control group |
n2i | numeric | number of patients in the control group |
Details
The dataset includes the results from 34 randomized clinical trials that examined the effectiveness of oral anticoagulants in patients with coronary artery disease. The results given here are focused on the total mortality in the treatment versus control groups.
Concepts
medicine, cardiology, odds ratios, Mantel-Haenszel method
Note
Strictly speaking, there are only 31 trials, since Breddin et al. (1980) and ATACS (1990) are multiarm trials.
According to a correction, dat.anand1999$ci[29]
should be 1. But then dat.anand1999$ci[21]
would also have to be 1 (if these data indeed refer to the same control group). This appears contradictory, so this correction was not made.
Author(s)
Wolfgang Viechtbauer, wvb@metafor-project.org, https://www.metafor-project.org
Source
Anand, S. S., & Yusuf, S. (1999). Oral anticoagulant therapy in patients with coronary artery disease: A meta-analysis. Journal of the American Medical Association, 282(21), 2058–2067. https://doi.org/10.1001/jama.282.21.2058
Examples
### copy data into 'dat' and examine data
dat <- dat.anand1999
dat
## Not run:
### load metafor package
library(metafor)
### High-Intensity OA vs Control
rma.mh(measure="OR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat,
subset=(intensity=="high" & asp.t==0 & asp.c==0), digits=2)
### High- or Moderate-Intensity OA vs Aspirin
rma.mh(measure="OR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat,
subset=(intensity %in% c("high","moderate") & asp.t==0 & asp.c==1), digits=2)
### Moderate-Intensity OA vs Control
rma.mh(measure="OR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat,
subset=(intensity=="moderate" & asp.t==0 & asp.c==0), digits=2)
### High- or Moderate-Intensity OA and Aspirin vs Aspirin
rma.mh(measure="OR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat,
subset=(intensity %in% c("high","moderate") & asp.t==1 & asp.c==1), digits=2)
### Low-Intensity OA and Aspirin vs Aspirin
rma.mh(measure="OR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat,
subset=(intensity=="low" & asp.t==1 & asp.c==1), digits=2)
## End(Not run)