Results from 16 studies evaluating anti-TNF-alpha inhibitors in patients with rheumatoid arthritis.

dat.lloyd2010

Format

The data frame contains the following columns:

authorcharacterfirst author
yearintegerpublication year
mean.dasnumericmean for outcome DAS-28
lower.dasnumericlower limit for outcome DAS-28
upper.dasnumericupper limit for outcome DAS-28
mean.haqnumericmean for outcome HAQ
lower.haqnumericlower limit for outcome HAQ
upper.haqnumericupper limit for outcome HAQ
nintegersample size

Details

Lloyd et al. (2010) report results of a systematic review evaluating the effectiveness of anti-TNF-alpha inhibitors in the treatment of rheumatoid arthritis. The authors conducted separate meta-analyses for HAQ and DAS-28.

Source

Lloyd, S., Bujkiewicz, S., Wailoo, A. J., Sutton, A. J., & Scott, D. (2010). The effectiveness of anti-TNF-\(\alpha\) therapies when used sequentially in rheumatoid arthritis patients: A systematic review and meta-analysis. Rheumatology, 49(12), 2313–2321. https://doi.org/10.1093/rheumatology/keq169

Concepts

medicine, rheumatology, raw mean differences

Examples

### Show first five studies
head(dat.lloyd2010, 5)
#>        author year mean.das lower.das upper.das mean.haq lower.haq upper.haq   n
#> 1      Bennet 2005    -1.70     -2.11     -1.29    -0.31     -0.57     -0.05  26
#> 2     Bingham 2009    -1.60     -1.78     -1.42    -0.35     -0.44     -0.26 188
#> 3 Bombardieri 2007    -1.90     -2.00     -1.80    -0.48     -0.52     -0.44 810
#> 4        Buch 2007    -1.47     -1.79     -1.15       NA        NA        NA  72
#> 5       Cohen 2005    -1.87     -2.26     -1.48       NA        NA        NA  30

### Load meta package
suppressPackageStartupMessages(library(meta))

### Only consider studies providing data for both outcomes
lloyd5 <- subset(dat.lloyd2010, !is.na(mean.haq) & !is.na(mean.das))

### Univariate meta-analysis of the DAS-28 outcome
m.das <- metagen(mean.das,
  lower = lower.das, upper = upper.das,
  data = lloyd5, sm = "MD",
  studlab = paste(author, year),
  random = FALSE)

### Univariate meta-analysis of the HAQ outcome
m.haq <- metagen(mean.haq,
  lower = lower.haq, upper = upper.haq,
  data = lloyd5, sm = "MD",
  studlab = paste(author, year),
  random = FALSE)

### Forest plots
forest(m.das, test.overall = TRUE, hetstat = FALSE,
  digits.TE = 2, digits.se = 2)

forest(m.haq, test.overall = TRUE, hetstat = FALSE,
  digits.TE = 2, digits.se = 2)