Supplementary materials: Antibacterial data synthesis challenges: a systematic review of treatments for complicated Gram-negative urinary tract infections

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posted on 2024-01-03, 16:49 authored by Ryan Dillon, Jennifer Uyei, Rajpal Singh, Eilish McCann

This is a peer-reviewed supplementary table for the article 'Antibacterial data synthesis challenges: a systematic review of treatments for complicated Gram-negative urinary tract infections' published in the Journal of Comparative Effectiveness Research.

Table S1. MEDLINE and EMBASE search strings.
Table S2. COCHRANE LIBRARY (CENTRAL and CDSR) search strings.
Table S3. PICOTS eligibility criteria for the systematic literature review.
Table S4. Risk of bias assessment using the Cochrane Collaboration Tool.
Table S5. Patient baseline characteristics.

Figure S1. PRISMA flow diagram.

Summary: Aim: To determine the suitability of network meta-analysis (NMA) using antibacterial treatment evidence in complicated urinary tract infection. Materials & methods: We conducted a systematic literature review to identify published clinical trial data for complicated urinary tract infection treatments. We performed a feasibility assessment to determine whether the available evidence would support the creation of a robust NMA, considering key assumptions of homogeneity, similarity and consistency. Results: Twenty-five trials met eligibility criteria. Risk of bias was low, and individual studies met their primary end point(s). Assumptions central to the conduct of a robust NMA were not met. Heterogeneity was ubiquitous, including baseline pathogen, treatment and patient characteristics. Conclusion: Limited and heterogeneous data identified make the use of NMA to compare novel antibacterial agents impractical and likely unreliable.