dat.lloyd2010: Studies on Anti-TNF-alpha Inhibitors in Rheumatoid Arthritis

dat.lloyd2010R Documentation

Studies on Anti-TNF-alpha Inhibitors in Rheumatoid Arthritis

Description

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

Usage

dat.lloyd2010

Format

The data frame contains the following columns:

author character first author
year integer publication year
mean.das numeric mean for outcome DAS-28
lower.das numeric lower limit for outcome DAS-28
upper.das numeric upper limit for outcome DAS-28
mean.haq numeric mean for outcome HAQ
lower.haq numeric lower limit for outcome HAQ
upper.haq numeric upper limit for outcome HAQ
n integer sample 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.

Concepts

medicine, rheumatology, raw mean differences

Author(s)

Guido Schwarzer, guido.schwarzer@uniklinik-freiburg.de, https://github.com/guido-s/

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

Examples

### Show first five studies
head(dat.lloyd2010, 5)

## Not run: 
### 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)

## End(Not run)

metadat documentation built on April 29, 2026, 5:10 p.m.