Correlation between bone turnover markers and bone mineral density in patients undergoing long-term anti-osteoporosis treatment: A systematic review and meta-analysis

Lingyun Hong, Dan Liu, Feng Wu, Meiqi Wang, Yu Cen, Lan Ma

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This systematic review and meta-analysis aimed to evaluate the correlations between the bone turnover markers (BTMs) and the bone mineral density (BMD) in patients treated for primary osteoporosis and to identify promising BTMs for the prediction of future BMD changes. The PubMed, EMBASE, Cochrane Library, andWeb of Science databases were searched for relevant studies that investigated the relationship between the BTMs and the BMD changes in patients treated for osteoporosis. All significant correlation coefficients of the baseline BTMs or changes in BTMs from baseline with the BMD changes from baseline under different interventions from eligible studies were used for systematic review and the subgroup analyses. The correlations were analyzed in terms of bone sites, intervention, time duration of BTMs measurements, and time duration of BMD measurements. Twenty-two records reporting correlation coefficients and the corresponding p-values were included, 13 of which were enrolled in the further subgroup analyses. The combined results from the systematic review and meta-analyses indicated that the changes in osteocalcin (OC), procollagen type I N propeptide (PINP), and urine N-terminal crosslinking telopeptide of type I collagen (U-NTX), or the PINP at baseline tended to be useful in evaluating the long-term BMD changes after drug intervention.

Original languageEnglish (US)
Article number832
JournalApplied Sciences (Switzerland)
Volume10
Issue number3
DOIs
StatePublished - Feb 1 2020

Keywords

  • Bone mineral density
  • Bone turnover markers
  • Correlation
  • Osteoporosis
  • Systematic review and meta-analysis

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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