Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2025
An introduction to network meta-analyses in clinical microbiology and infectious diseases.
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Seitidis Georgios, Koutsiouroumpa Ourania, van Rensburg Roland, McCaul Michael, Boutron Isabelle, Mavridis Dimitris
Аннотация
BACKGROUND: Network meta-analysis (NMA) allows synthesizing results from studies comparing all available interventions. It uses direct evidence from studies directly comparing two interventions (say B and C) but also indirect evidence if there are studies comparing each of B and C to a common comparator (say A). By synthesizing both direct and indirect evidence, NMA allows for the comparison of multiple interventions within a single framework. Additionally, NMA enables comparing interventions that have not been directly compared, provides more precise estimates compared to pairwise meta-analysis, and creates a ranking hierarchy based on any specific outcome.
OBJECTIVES: We aim to provide a thorough introduction to NMA tailored for clinicians and scientists working in the fields of clinical microbiology and infectious diseases.
SOURCES: We illustrated all steps of NMA using a published example from the field of clinical microbiology and infectious diseases. We considered cases and used examples of published NMAs.
CONTENT: We outlined the key concepts and assumptions of NMA using illustrative examples from common infectious diseases. We presented some common pitfalls and misconceptions that are frequently encountered in real-world practice. To reduce the gap between theory and practice, we applied broad steps for conducting and interpreting an NMA to a published NMA evaluating the efficacy of different monotherapies for chronic hepatitis B infection.
IMPLICATIONS: By clarifying methodological challenges and providing practical guidance, this paper aims to enhance infectious disease practitioners' understanding of NMA, assuring its proper application and interpretation.
OBJECTIVES: We aim to provide a thorough introduction to NMA tailored for clinicians and scientists working in the fields of clinical microbiology and infectious diseases.
SOURCES: We illustrated all steps of NMA using a published example from the field of clinical microbiology and infectious diseases. We considered cases and used examples of published NMAs.
CONTENT: We outlined the key concepts and assumptions of NMA using illustrative examples from common infectious diseases. We presented some common pitfalls and misconceptions that are frequently encountered in real-world practice. To reduce the gap between theory and practice, we applied broad steps for conducting and interpreting an NMA to a published NMA evaluating the efficacy of different monotherapies for chronic hepatitis B infection.
IMPLICATIONS: By clarifying methodological challenges and providing practical guidance, this paper aims to enhance infectious disease practitioners' understanding of NMA, assuring its proper application and interpretation.