Percutaneous Curved Vertebroplasty Versus Unilateral Percutaneous Vertebroplasty for Osteoporotic Vertebral Compression Fractures: A Systematic Review and Meta-Analysis
- PMID: 37839572
- DOI: 10.1016/j.wneu.2023.10.035
Percutaneous Curved Vertebroplasty Versus Unilateral Percutaneous Vertebroplasty for Osteoporotic Vertebral Compression Fractures: A Systematic Review and Meta-Analysis
Abstract
Background: Percutaneous curved vertebroplasty (PCVP), a modified traditional unilateral percutaneous vertebroplasty (UPVP) technique, is increasingly being used to treat osteoporotic vertebral compression fractures (OVCFs); however, its advantages remain controversial. This meta-analysis was conducted to determine whether PCVP is superior to traditional UPVP in treating OVCFs.
Methods: Six databases were searched for studies comparing the clinical efficacy of PCVP and UPVP in treating patients with OVCFs published until March 2023. After study selection, data extraction, and risk of bias evaluation, a meta-analysis was conducted. The study protocol was registered in the PROSPERO platform (registration number: CRD42023417190).
Results: Eight studies (6 randomized controlled trials and 2 cohort studies) were eligible for the final analysis. The pooled results revealed no between-group differences in operation time (P = 0.85), intraoperative fluoroscopy (P = 0.58), or postoperative short-term visual analog scale scores (P = 0.15). However, PCVP was associated with more injected cement (P = 0.003), a lower cement leakage rate (P = 0.006), and a lower final follow-up visual analog scale score (P < 0.0001).
Conclusions: PCVP was superior to UPVP in terms of reducing the bone cement leakage rate and providing long-term pain relief. Further trials with larger sample sizes and longer follow-up periods are required to verify these findings owing to the potential risk of bias.
Keywords: Meta-analysis; Osteoporotic vertebral compression fracture; Percutaneous curved vertebroplasty; Unilateral percutaneous vertebroplasty.
Copyright © 2023 Elsevier Inc. All rights reserved.
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