Risk factors for refracture or new vertebral compression fractures after percutaneous vertebroplasty: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Osteoporotic vertebral compression fractures can substantially affect a patient's life. Percutaneous vertebroplasty is a minimally invasive surgical procedure that can stabilize fractures, reduce pain, and increase the patient's functionality. However, the incidence of secondary fractures post-surgery requires scientific attention. The risk factors that may lead to a new fracture postoperatively must be identified. PURPOSE: To explore the possible risk factors that can predispose to a subsequent fracture after percutaneous vertebroplasty in patients with osteoporotic vertebral compression fractures. STUDY DESIGN: Systematic review and meta-analysis. METHODS: We systematically searched MEDLINE (PubMed), Embase (ScienceDirect), PEDro, and Cochrane databases from July 2013 through May 2024. The extracted data included patient and clinical characteristics, secondary fractures as the primary outcome, and prognostic factors. Eligible studies for synthesis included one group of patients who had suffered a new fracture after surgery and a group of patients who did not suffer any fracture after vertebroplasty ("non fracture group"). We used the software Medcalc and the web program Meta-Mar for all statistical analyses. SMDs were calculated for continuous data, and ORs were calculated for dichotomous data, both with 95% CI. To quantify statistical heterogeneity across studies, we used chi-squared tests and I2 statistics). The Newcastle-Ottawa Scale was used to assess the quality of studies. RESULTS: A total of 3.821 patients from nine studies were included. Median follow-up was 21 months, and overall secondary fracture incidence was 16.6%. The meta-analysis showed that female gender [OR = 1.62, 95% CI 1,26; 2.07, z = 3.79, P = 0.0001], low bone mineral density [SMD = -0,30, 95% CI -0.52; -0.08, z = -2.65, P = 0.008], smoking [OR = 1.62, 95% CI 1.22; 2.15, z = 3.32, P = 0.001] and type 2 diabetes [OR = 1.40, 95% CI 1.11; 1.76, z = 2.83, P = 0.005] were significant risk factors for the secondary fractures after percutaneous vertebroplasty. CONCLUSION: Patients with these identified risk factors should be monitored and treated accordingly to achieve the optimum prognosis after surgery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".