The field separator character. Values on each line of the
file are separated by this character. The comma is the default field
separator character in RevMan 5.
quote
The set of quoting characters. In RevMan 5 a """
is the default quoting character.
title
Title of Cochrane review.
numbers.in.labels
A logical indicating whether comparision
number and outcome number should be printed at the beginning of the
comparison (argument complab) and outcome label (argument
outclab); this is the default in RevMan 5.
Details
Review Manager 5 (RevMan 5) is the current software used for
preparing and maintaining Cochrane Reviews
(http://tech.cochrane.org/revman/). RevMan 5 includes the ability
to write Systematic reviews of interventions, Diagnostic test accuracy
reviews, Methodology reviews and Overviews of reviews.
This function provides the ability to read a data file from a
Cochrane Intervention review created with RevMan 5; a data frame
is created from it. Cochrane Intervention reviews are based on the
comparison of two interventions.
In order to generate a data analysis file in RevMan 5 use the
following Menu points: "File" - "Export" - "Data
and analyses". It is mandatory to include the following fields in
the exported data file by selecting them with the mouse cursor in
the Export Analysis Data Wizard: (i) Comparison Number, (ii) Outcome
Number, (iii) Subgroup Number. When these fields are not selected a
corresponding error message will be printed in R. It is recommended
to include all fields in the exported data file except for the last
field "Risk of bias tables". For example, in order to redo the
meta-analysis in R for the RevMan 5 data type "O-E and
Variance" the fields "O-E" and "Variance" have to be
selected in the Export Analysis Data Wizard. If the last field "Risk
of bias tables" is selected the import in R fails with an error
message "line X did not have Y elements".
By default in RevMan 5, the name of the exported data file is the
title of the Cochrane Review. Accordingly, information on the title is
extracted from the name of the exported data file (argument:
file) if argument title is missing (default).
Each respective meta-analysis for arguments event.e.pooled –
df.pooled is defined by values for "comp.no" and
"outcome.no", and "grp.no".
Value
A data frame containing the following components:
comp.no
Comparison number.
outcome.no
Outcome number.
group.no
Group number.
studlab
Study label.
year
Year of publication.
event.e
Number of events in experimental group.
n.e
Number of observations in experimental group.
event.c
Number of events in control group.
n.c
Number of observations in control group.
mean.e
Estimated mean in experimental group.
sd.e
Standard deviation in experimental group.
mean.c
Estimated mean in control group.
sd.c
Standard deviation in control group.
O.E
Observed minus expected (IPD analysis).
V
Variance of O.E (IPD analysis).
TE, seTE
Estimated treatment effect and standard error of individual studies.
lower, upper
Lower and upper limit of 95% confidence
interval for treatment effect in individual studies.
weight
Weight of individual studies (according to
meta-analytical method used in respective meta-analysis - see below
for details).
order
Ordering of studies.
grplab
Group label.
type
Type of outcome. D = dichotomous, C = continuous, P = IPD.
method
A character string indicating which method has been used
for pooling of studies. One of "Inverse", "MH", or
"Peto".
sm
A character string indicating which summary measure
has been used for pooling of studies.
model
A character string indicating which meta-analytical model
has been used (either "Fixed" or "Random").
comb.fixed
A logical indicating whether fixed effect
meta-analysis has been used in respective meta-analysis (see below
for details).
comb.random
A logical indicating whether random effects
meta-analysis has been used in respective meta-analysis (see below
for details).
outclab
Outcome label.
k
Total number of studies combined in respective
meta-analysis).
event.e.pooled
Number of events in experimental group in
respective meta-analysis (see below for details).
n.e.pooled
Number of observations in experimental group in
respective meta-analysis (see below for details).
event.c.pooled
Number of events in control group in
respective meta-analysis (see below for details).
n.c.pooled
Number of observations in control group in
respective meta-analysis (see below for details).
TE.pooled
Estimated treatment effect in respective
meta-analysis (see below for details).
lower, upper
Lower and upper limit of 95% confidence
interval for treatment effect in respective meta-analysis (see below
for details).
weight.pooled
Total weight in respective meta-analysis (see below
for details).
Z.pooled
Z-score for test of overall treatment effect in
respective meta-analysis (see below for details).
pval.pooled
P-value for test of overall treatment effect in
respective meta-analysis (see below for details).
Q
Heterogeneity statistic Q in respective meta-analysis
(see below for details).
pval.Q
P-value of heterogeneity statistic Q in
respective meta-analysis (see below for details).
I2
Heterogeneity statistic I2 in respective
meta-analysis (see below for details).
tau2
Between-study variance (moment estimator of
DerSimonian-Laird) in respective meta-analysis.
Q.w
Heterogeneity statistic Q within groups in
respective meta-analysis (see below for details).
pval.Q.w
P-value of heterogeneity statistic Q within groups in
respective meta-analysis (see below for details).
I2.w
Heterogeneity statistic I2 within groups in respective
meta-analysis (see below for details).
label.e
Label for experimental group.
label.c
Label for control group.
label.left
Graph label on left side of forest plot.
label.right
Graph label on right side of forest plot.
RR.cochrane
A logical indicating if 2*incr instead of
1*incr is to be added to n.e and n.c in the
calculation of the risk ratio (i.e., sm="RR") for studies
with a zero cell. This is used in RevMan 5.
Review Manager (RevMan) [Computer program]. Version
5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane
Collaboration, 2014.
See Also
metabin, metacont, metagen, metacr
Examples
# Locate export data file "Fleiss93_CR.csv"
# in sub-directory of package "meta"
#
filename <- system.file("data/Fleiss93_CR.csv.gz", package = "meta")
#
Fleiss93_CR <- read.rm5(filename)
# Same result as R command example(Fleiss93):
#
metacr(Fleiss93_CR)
# Same result as R command example(Fleiss93cont):
#
metacr(Fleiss93_CR, 1, 2)
providing 
.