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Pharmacological prevention of bone loss and fractures following solid organ transplantations: Protocol for a systematic review and network meta-analysis

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  • Jiawen Deng
  • Myron Moskalyk
  • Wenteng Hou
  • Qi Kang Zuo
  • Jinyu Luo

Abstract

Introduction: Solid organ transplant (SOT) recipients can experience bone loss caused by underlying conditions and the use of immunosuppressants. As a result, SOT recipients are at risk for decreased bone mineral density (BMD) and increased fracture incidences. We propose a network meta-analysis (NMA) that incorporates all available randomized control trial (RCT) data to provide the most comprehensive ranking of anti-osteoporotic interventions according to their ability to decrease fracture incidences and increase BMD in SOT recipients. Methods: We will search MEDLINE, EMBASE, Web of Science, CINAHL, CENTRAL and CNKI for relevant RCTs that enrolled adult SOT recipients, assessed anti-osteoporotic therapies, and reported relevant outcomes. Title and full-text screening as well as data extraction will be performed in-duplicate. We will report changes in BMD as weighted or standardized mean differences, and fracture incidences as risk ratios. SUCRA scores will be used to provide rankings of interventions, and quality of evidence will be examined using RoB2 and CINeMA. Discussions: To our knowledge, this systematic review and NMA will be the most comprehensive quantitative analysis regarding the management of bone loss and fractures in SOT recipients. Our analysis should be able to provide physicians and patients with an up-to-date recommendation for pharmacotherapies in reducing incidences of bone loss and fractures associated with SOT. The findings of the NMA will be disseminated in a peer-reviewed journal.

Suggested Citation

  • Jiawen Deng & Myron Moskalyk & Wenteng Hou & Qi Kang Zuo & Jinyu Luo, 2024. "Pharmacological prevention of bone loss and fractures following solid organ transplantations: Protocol for a systematic review and network meta-analysis," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-9, April.
    • Handle: RePEc:plo:pone00:0302566
    DOI: 10.1371/journal.pone.0302566
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    References listed on IDEAS

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    1. Theodoros Papakonstantinou & Adriani Nikolakopoulou & Julian P. T. Higgins & Matthias Egger & Georgia Salanti, 2020. "CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(1), March.
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