ct {bamdit}

Diagnosis of appendicities with computer tomography scans

Description

This data frame corresponds to 51 clinical studies reporting the accuracy of computer tomography (CT) scans for the diagnosis of appendicities.

Format

A matrix with 51 rows and 17 columns. Each row represents study results, the columns are:

tp

number of true positives.

n1

number of patients with disease.

fp

number of false positives.

n2

number of patients without disease.

Author

First author and year.

country

Country: EU = 1, others/USA = 2.

hosp

Type of hospital: 1 = university, 2 = others.

inclus

Inclusion criteria: 1 = Suspected, 2 = appendectomy.

indfind

Other CT findings included: 1 = no, 2 = yes.

design

Study design: 1 = prospective, 2 = retrospective.

contr

Contrast medium: 1 = no, 2 = yes.

localis

Localisation: 1 = one area, 2 = more than one area.

child

Children included: 1 = no, 2 = yes.

fup.na

Followup: 0 = no, 1 = yes.

refer.na

Valid reference: 0 = no, 1 = yes.

sample.na

Sample: 0 = selected, 1= consecutive/random.

gender.na

Gender, female: 0 = less than 50%; 1 = more than 50%.

Details

This data frame corresponds to 51 clinical studies reporting the accuracy of computer tomography (CT) scans for the diagnosis of appendicities.

Source

The data were obtainded from

Ohmann C, Verde PE, Gilbers T, Franke C, Fuerst G, Sauerland S, Boehner H. (2006) Systematic review of CT investigation in suspected acute appendicitis. Final Report; Coordination Centre for Clinical Trials, Heinrich-Heine University. Moorenstr. 5, D-40225 Duesseldorf Germany.

References

Verde P. E. (2010). Meta-analysis of diagnostic test data: A bivariate Bayesian modeling approach. Statistics in Medicine. 29, 3088-3102.