netmeta (version 1.2-1)

Linde2015: Network meta-analysis of treatments for depression

Description

Network meta-analysis of nine classes of antidepressants including placebo for the primary care setting; partly shown in Linde et al. (2015), supplementary Table 2.

Arguments

Format

A data frame with the following columns:

id Study ID
author First author
year Publication year
treatment1 First treatment
treatment2 Second treatment
treatment3 Third treatment
n1 Number of patients receiving first treatment
resp1 Number of early responder (treatment 1)
remi1 Number of early remissions (treatment 1)
loss1 Number of patients loss to follow-up (treatment 1)
loss.ae1 Number of patients loss to follow-up due to adverse events (treatment 1)
ae1 Number of patients with adverse events (treatment 1)
n2 Number of patients receiving second treatment
resp2 Number of early responder (treatment 2)
remi2 Number of early remissions (treatment 2)
loss2 Number of patients loss to follow-up (treatment 2)
loss.ae2 Number of patients loss to follow-up due to adverse events (treatment 2)
ae2 Number of patients with adverse events (treatment 2)
n3 Number of patients receiving third treatment
resp3 Number of early responder (treatment 3)
remi3 Number of early remissions (treatment 3)
loss3 Number of patients loss to follow-up (treatment 3)
loss.ae3 Number of patients loss to follow-up due to adverse events (treatment 3)

See Also

pairwise, metabin, netmeta, netposet

Examples

Run this code
# NOT RUN {
data(Linde2015)

# Transform data from arm-based format to contrast-based format
# Outcome: early response
p1 <- pairwise(list(treatment1, treatment2, treatment3),
               event = list(resp1, resp2, resp3),
	       n = list(n1, n2, n3),
               studlab = id, data = Linde2015, sm = "OR")

# Define order of treatments
trts <- c("TCA", "SSRI", "SNRI", "NRI",
          "Low-dose SARI", "NaSSa", "rMAO-A", "Hypericum",
          "Placebo")

# Conduct random effects network meta-analysis
net1 <- netmeta(p1, comb.fixed = FALSE,
                reference = "Placebo",
		seq = trts)
print(summary(net1), digits = 2)
# }

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