Network meta-analyses in IBD: pitfalls and promise for clinicians

Area of Science:

• Gastroenterology
• Biostatistics
• Health Research Methodology

Background:

• Network meta-analysis (NMA) has grown significantly in gastroenterology over the last 20 years.
• NMAs inform guidelines for conditions like colorectal cancer surveillance and inflammatory bowel disease.
• Methodological complexity and statistical misinterpretation pose risks of NMA misuse.

Purpose of the Study:

• To highlight the potential for NMAs to mislead due to statistical hierarchy.
• To introduce a novel method for presenting NMA results to improve clarity.
• To enhance the understanding and application of NMA findings in clinical practice.

Main Methods:

• The paper discusses the inherent limitations of traditional NMA presentation.
• A new visualization tool, the GORDON Plot (Grade Of Results Diagram Of Network meta-analysis), is presented.
• The GORDON Plot aims to clarify statistical hierarchy and clinical certainty.

Main Results:

• NMAs can unintentionally obscure clinical certainty when statistical hierarchies are complex.
• The GORDON Plot offers a clearer way to visualize and interpret NMA outcomes.
• This visualization aids in reducing statistical misinterpretation.

Conclusions:

• Effective presentation of NMA results is crucial for accurate clinical decision-making.
• The GORDON Plot provides a valuable tool for enhancing the interpretability of NMAs.
• Adoption of improved NMA visualization methods can mitigate misuse and improve guideline development.