Description Format Details Source Examples

Network meta-analysis dataset for comparing interventions for actinic keratosis.

A data frame in contrast format with the following columns:

logOR | log odds ratio |

selogOR | standard error of log odds ratio |

id | study ID |

t1 | first treatment |

t2 | second treatment |

The dataset compares the relative effects of nine interventions:

placebo / vehicle (including placebo-PDT) (treatment 1),

diclofenac 3 percent in 2.5 percent hyaluronic acid (DCF/HA) (treatment 2),

5-fluorouracil (5-FU) 0.5 percent (treatment 3),

imiquimod (IMI) 5 percent (treatment 4),

methyl aminolaevulinate (MAL)-PDT (treatment 5),

5-aminolaevulinic acid (ALA)-photodynamic therapy (PDT) (treatment 6),

5-fluorouracil (5-FU) 5.0 percent (treatment 7),

cryotherapy (treatment 8),

ingenol mebutate (IMB) 0.015-0.05 percent (treatment 9).

The outcome is the number of individuals with participant complete clearance or equivalent efficacy. These data are in contrast format with effect size the odds ratio (OR). The arm-level data were used in Gupta and Paquet (2013).

Gupta AK, Paquet M (2013):
Network meta-analysis of the outcome participant complete
clearance in nonimmunosuppressed participants of eight
interventions for actinic keratosis: a follow-up on a Cochrane
review.
*British Journal of Dermatology*,
**169**, 250–9

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
data(Gupta2013)
# Conduct forward search algorithm for the network of actinic keratosis
#
FSresult <- NMAoutlier(logOR, selogOR, t1, t2, id, data = Gupta2013, n_cores = 2)
# Plovide the forward plot for z-values from difference of direct and
# indirect evidence
#
fwdplot(FSresult, "nsplit")
# Provide forward plot for Q statistic
#
fwdplot(FSresult, "Q")
``` |

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