Contour plot assessment of meta-analyses: robust association of statins-use and acute kidney injury risk

Contour plot assessment of meta-analyses: robust association of statins-use and acute kidney injury risk

Overview

What is the issue?

Robustness of an existing meta-analysis can justify decisions on whether to conduct an additional study addressing the same research question. We illustrate the graphical assessment of the potential impact of an additional study on an existing metaanalysis using published data on statin use and the risk of acute kidney injury.

How was the study conducted?

A previously proposed graphical augmentation approach is used to assess the sensitivity of the current test and heterogeneity statistics extracted from existing meta-analysis data. In addition, we extended the graphical augmentation approach to assess potential changes in the pooled effect estimate after updating a current meta-analysis and applied the three graphical contour definitions to data from meta-analyses on statin use and acute kidney injury risk.

What did the study find?

In the considered example data, the pooled effect estimates and heterogeneity indices demonstrated to be considerably robust to the addition of a future study. Supportingly, for some previously inconclusive meta-analyses, a study update might yield statistically significant kidney injury risk increase associated with higher statin exposure.

Implications

The illustrated contour approach should become a standard tool for the assessment of the robustness of meta-analyses. It can guide decisions on whether to conduct additional studies addressing a relevant research question.

Manuscripts

Chevance A, Schuster T, Steele R, Ternes N, Platt RW. Contour plot assessment of meta-analyses: robust association of statins-use and acute kidney injury risk. J Clin Epidemiol. 2015 Oct;68(10):1138-43.

Presentations

Project Team

Project Lead
Tibor Schuster PhD
CPRD
Collaborator
Russell Steele PhD
CPRD
Collaborator
Robert W. Platt PhD
CPRD
Collaborator
Aurélie Chevance
CPRD
External Collaborator
Nils Ternès