Schneider2017 {diagmeta}R Documentation

Meta-analysis of studies of the diagnostic test accuracy of FENO for diagnosis of asthma

Description

Meta-analysis of studies of the diagnostic test accuracy of fractional exhaled nitric oxide (FENO) for diagnosis of asthma.

The data were collected for a systematic review by Karrasch et al. (2017) and are published as a supplement (Appendix 1) to Schneider et al. (2017). They have been preprocessed for use in R package diagmeta.

Format

A data frame with the following columns:

study_id numeric study ID
author first author
year year of publication
group information on subgroup
cutpoint cutpoint (FeNO [ppb])
tpos number of true positives
fneg number of false negatives
fpos number of false positives
tneg number of true negatives

Source

Karrasch S, Linde K, Rücker G, Sommer H, Karsch-Volk M, Kleijnen J, Jörres RA, Schneider A (2017): Accuracy of FENO for diagnosing asthma: a systematic review. Thorax, 72, 109e16

Schneider A, Linde K, Reitsma JB, Steinhauser S, Rücker G (2017): A novel statistical model for analyzing data of a systematic review generates optimal cutoff values for fractional exhaled nitric oxide for asthma diagnosis. Journal of Clinical Epidemiology, 92, 69–78

Examples

# FENO dataset
#
data(Schneider2017)

diag1 <- diagmeta(tpos, fpos, tneg, fneg, cutpoint,
                  studlab = paste(author, year, group),
                  data = Schneider2017,
                  log.cutoff = TRUE)

plot(diag1)

[Package diagmeta version 0.4-1 Index]