| Literature DB >> 31145359 |
Liping Tan1,2, Shaojun Li1,3, Haiping Yang4,3, Qing Zou1,5, Junli Wan4,5, Qiu Li4,2.
Abstract
INTRODUCTION: A network meta-analysis was conducted to regard the effects of available immunosuppressive medications in pediatric frequently-relapsing nephrotic syndrome (FRNS) and steroid-dependent nephrotic syndrome (SDNS).Entities:
Mesh:
Substances:
Year: 2019 PMID: 31145359 PMCID: PMC6709258 DOI: 10.1097/MD.0000000000015927
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Study selection process.
Descriptive characteristics of studies included in the meta-analysis.
Figure 2Risk of bias graph.
Figure 3Risk of bias summary.
Figure 4Network of eligible efficacy and acceptability comparisons. The thickness of the lines reflects the number of studies being compared, and node size reflects the number of randomized individuals.
Descriptive characteristics of studies included in the meta-analysis.
Figure 5Efficacy and acceptability of agents at 6-month (A), 12-month (B), and 24-month (C) follow-up time points. Agents are reported in alphabetical order. ORs in the column-defining drug are compared to ORs in the row-defining drug. For efficacy, ORs > 1 favor the column-defining treatment. For acceptability, ORs < 1 favor the first drug in alphabetical order. Significant comparisons are underscored and bolded. AZA = azathioprine, CHL= chlorambucil, CPA = cyclophosphamide, CsA = cyclosporine, LEV = levamisole, MMF = mycophenolate mofetil, PLA= nontreatment/placebo, RTX = rituximab.
Figure 6Efficacy (real line) and acceptability (dashed line) rankings at 6 months (A), 12 months (B), and 24-month (C) follow-up time points. Ranking reflects the probability of being the best, second best etc agent among the eight tested medications.
Efficacy and acceptability in meta-analyses of direct comparisons between each pair of immunosuppressive medications.