Hi everyone, I need your help. I am doing a meta-analysis using RevMan 5.3 software. I used 3 studies as my data. The study is to investigate the effect of the Flipped classroom as an experimental group vs traditional teaching method as control group. Each study mentions Flipped classroom is more effective. In the data entry, experimental group is on the left column, and control on the right. When the data is entered, Forest Plot shows more favored toward the control group. I left all setting defaults. Why it doesn’t show experimental as favored in the output as each study shows experimental group is better? I am confused with Forest Plot. Please explain it. I thought, experimental group should be in favor particularly in this case. Here is the graph:
Looks like you have entered the experimental group as control and vice versa. The plot shows the mean differences of 1.8, 4.2 and 0.5, and that corresponds to higher values in the Experimental group.
Thanks. I am not sure. The experimental and control column is automatically set, and I think I put data at the corresponding column.
Here is how to work it out according to Cochrane guidance; so it really depends on the outcome how you interpret and you can also change the default to an easier to read option.
If the outcome of interest is adverse (e.g. mortality), the results to the leof the vertical line favour the
intervention over the control. That is, if result estimates are located to the le, it means that the outcome
of interest (e.g. mortality) occurred less frequently in the intervention group than in the control group
(ratio < 1).
If the outcome of interest is desirable (e.g. remission), the results to the right of the vertical line favour
the treatment over the control. That is, if result estimates are located to the right, it means that the
outcome of interest (e.g. remission) occurred more frequently in the intervention group than in the
control group (ratio > 1).