Publications

2020

2019

Liu, B., Q. Wu, S. Zhang, and A. Del Rosario. (2024) 2019. “Lithium use and risk of fracture: a systematic review and meta-analysis of observational studies”. Osteoporosis International: A Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 30 (2): 257-66. https://doi.org/10.1007/s00198-018-4745-9.
This systematic review and meta-analysis summarized the results from nine eligible observational studies. Lithium use was significantly associated with a decrease risk of fractures. INTRODUCTION: The association between lithium use and risk of fracture is uncertain. To date, there have been no meta-analyses that have studied the association between the two. We conducted a systematic review and meta-analysis to examine the effect of lithium medication on the risk of fracture. METHODS: A comprehensive literature search was performed in PubMed, Embase, and MEDLINE to include eligible observational studies. Three reviewers conducted the literature search, study selection, study appraisal, and data abstraction independently. Random effects models were used to obtain the overall estimate for meta-analysis. Cochran s Q and Higgins I2 were used to assess heterogeneity. A funnel plot and Egger s regression test were employed to assess publication bias.

2018

Wu, Q., B. Liu, and S. Tonmoy. (2024) 2018. “Depression and risk of fracture and bone loss: an updated meta-analysis of prospective studies”. Osteoporosis International: A Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 29 (6): 1303-12. https://doi.org/10.1007/s00198-018-4420-1.
This meta-analysis pooled results from 23 qualifying individual cohort studies and found that depression was significantly associated with an increased risk of fractures and bone loss. INTRODUCTION: The association between depression and risk of fracture remains controversial. We conducted a comprehensive meta-analysis to examine the effect of depression on the risk of osteoporotic fractures and bone loss. METHODS: We searched databases and reviewed citations in relevant articles for eligible cohort studies. Two investigators independently conducted study selection, appraisal, and data abstraction through the use of a standardized protocol. Random effect models were used for meta-analysis. Cochrane Q and I2 statistics were used to assess heterogeneity. Funnel plots and rank correlation tests were used to evaluate publication bias.