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How to discuss/analyse this data for a paper: (the outcome is induction of remission)
Number of studies: k = 21 Number of treatments: n = 9 Number of pairwise comparisons: m = 25 Number of designs: d = 10
Fixed effect model
Treatment estimate (sm = 'OR', comparison: other treatments vs 'Placebo'):
OR 95%-CI
Adalimumab 2.8921 [1.7904; 4.6720]
Aziothioprine/6MP 1.0808 [0.6914; 1.6895]
Certolizumab 1.3241 [1.0279; 1.7056]
Infliximab 2.1174 [1.1662; 3.8442]
Infliximab+aziothioprine 3.51 [1.9613; 6.2962]
Infliximab+methotrexate 1.9359 [0.6966; 5.3796]
Methotrexate 1.6091 [0.8457; 3.0617]
Placebo . .
Vedolizumab 1.9300 [1.3251; 2.8110]
Random effects model
Treatment estimate (sm = 'OR', comparison: other treatments vs 'Placebo'):
OR 95%-CI
Adalimumab 2.8552 [1.6070; 5.0728]
Aziothioprine/6MP 1.1534 [0.6958; 1.9120]
Certolizumab 1.3456 [0.9206; 1.9669]
Infliximab 2.4709 [1.1455; 5.3298]
Infliximab+aziothioprine 3.9903 [1.9198; 8.2939]
Infliximab+methotrexate 2.2591 [0.6534; 7.8111]
Methotrexate 1.5165 [0.7370; 3.1202]
Placebo . .
Vedolizumab 1.9561 [1.2073; 3.1692]
Quantifying heterogeneity / inconsistency: tau^2 = 0.0675; I^2 = 30.2%
Tests of heterogeneity (within designs) and inconsistency (between designs):
Q d.f. p-value Total 21.49 15 0.1219 Within designs 16.50 11 0.1235 Between designs 4.99 4 0.2888
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