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Critical study of consensus analysis.

G Reibnegger¹, D Fuchs, G Judmaier

¹Institute of Medical Chemistry and Biochemistry, University of Innsbruck, Austria.

Lancet (London, England)

|June 6, 1992

Summary

This summary is machine-generated.

Consensus analysis for evaluating inflammatory tests is unreliable. This method, which uses test agreement as a gold standard, is sensitive to data structure and algorithm changes, necessitating an external reference.

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Area of Science:

Medical Statistics
Clinical Chemistry
Gastroenterology

Background:

Consensus analysis is a proposed statistical method for assessing inflammatory tests.
It aims to replace external gold standards by using the consensus of all tests.
Its reliability for evaluating diagnostic tests needs thorough investigation.

Purpose of the Study:

To evaluate the reliability of consensus analysis in assessing inflammatory activity tests.
To determine if consensus analysis can serve as a valid alternative to external gold standards.
To investigate the influence of data structure and algorithmic variations on consensus analysis outcomes.

Main Methods:

The study utilized data from patients diagnosed with Crohn's disease.
Consensus analysis was applied to a set of clinical and laboratory measures of inflammatory activity.
Conventional cluster analyses were performed on the same dataset for comparison.

Main Results:

The reliability of consensus analysis was found to be highly dependent on the correlation structure of the disease measures used.
Results from cluster analyses supported the sensitivity of consensus analysis to the underlying data structure.
Minor modifications to the consensus analysis algorithm significantly altered the results.

Conclusions:

Consensus analysis, as applied to tests for inflammatory activity, is not a reliable standalone method.
The method's strong dependence on data correlation and algorithmic specifics limits its utility.
An external reference method, despite potential imperfections, remains essential for evaluating inflammatory tests.