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)
```

*diagmeta*version 0.5-1 Index]