ArticleBMC musculoskeletal disorders2024
Development of a clinical predictive model for cement loosening after vertebral augmentation in osteoporotic vertebral compression fractures.
Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Association of bone metabolic markers, bone mineral density and clinical characteristics with the occurrence of secondary fractures after PVP/PKP for osteoporotic thoracolumbar fractures: a study on logistic.Frontiers in surgery · 2026Article
- Short-term gains, long-term pains: a comparative study of percutaneous vertebroplasty vs. kyphoplasty in osteoporotic vertebral compression fracture.Frontiers in endocrinology · 2026Article
- Gait and Stability Analysis of People After Osteoporotic Spinal Fractures Treated with Minimally Invasive Surgery.Journal of functional morphology and kinesiology · 2025Article
- Risk factors for refracture by different cement leakage after percutaneous vertebroplasty in patients with thoracolumbar compression fractures.Scientific reports · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeThis study aims to identify the risk factors associated with bone cement loosening after percutaneous vertebroplasty/kyphoplasty (PVP/PKP) for osteoporotic vertebral compression fractures (OVCF) and to develop a clinical prediction model for bone cement loosening.
methodsClinical data of patients who underwent PVP/PKP for OVCF at Guangzhou Panyu Hospital from June 2017 to June 2021 were collected, with a division into loosening group and normal group based on postoperative follow-up imaging. Univariate analysis was conducted to explore the correlation between clinical data and bone cement loosening. Multivariate logistic regression analysis was performed to identify independent risk factors for bone cement loosening after PVP/PKP for OVCF. The nomogram prediction model was constructed using R and evaluated through DCA, calibration curve, and ROC curve assessments.
results① Multivariate analysis indicated age, time from injury to surgery, bone density, thoracolumbar kyphosis(TLK), anti-osteoporosis therapy, surgical approach, and bone cement shape were independent risk factors for bone cement loosening after PVP/PKP for OVCF. ② The nomogram clinical prediction model based on multivariate regression showed an area under the ROC curve of 0.86. The DCA curve and calibration curve demonstrated good consistency between predicted and actual results.
conclusionThe clinical prediction model for bone cement loosening after PVP/PKP in OVCF indicates that advanced age, longer time from injury to surgery, low bone density, inadequate correction of thoracolumbar kyphosis, PKP, non-anti-osteoporosis therapy, and block-type bone cement are associated with a higher risk of bone cement loosening, showing excellent discriminative capacity and promising clinical utility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.