Evidence map›Paper›PMID 38771842›Full record

ArticlePloS one2024

Prediction of new vertebral compression fracture within 3 years after percutaneous vertebroplasty for osteoporotic vertebral compression fracture: Establishment and validation of a nomogram prediction model.

Mingxi Nie, Zefu Chen, Liang Shi, HongXia Cao, Lei Xu

Abstract readValidation Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Risk factors for new vertebral fracture after percutaneous vertebroplasty or kyphoplasty for osteoporotic vertebral compression fractures (OVCFs): an updated systematic review and meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Pooled it
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  7. A nomogram for predicting fracture of the sandwich vertebrae after percutaneous vertebral augmentation: a multicenter study with 1-year follow-up.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  10. CT- and MRI-based endplate osteoporosis status assessment for predicting adjacent vertebral fractures after thoracolumbar percutaneous kyphoplasty: a matched comparison study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mingxi NieDepartment of Emergency, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
Zefu ChenDepartment of Emergency, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
Liang ShiDepartment of Orthopedics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
HongXia CaoDepartment of Rehabilitation Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
Lei XuDepartment of Emergency, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.ORCID 0009-0001-9977-0712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New vertebral compression fractures (NVCF) are common in patients with osteoporotic vertebral compression fractures (OVCF) who have undergone percutaneous vertebroplasty (PVP). We sought to develop a nomogram prediction model for better identification and prevention of NVCF within 3 years after PVP in patients with OVCF. The demographic, clinical, and imaging data of patients who underwent PVP for OVCF between January 2010 and December 2019 were reviewed. Multivariate logistic regression analysis was used to screen for risk factors for NVCF within 3 years after PVP. A nomogram prediction model was then developed and validated to visually predict NVCF. The samples in the model were randomly divided into training and validation sets at a ratio of 7:3. Twenty-seven percent of patients experienced NVCF in other segments within 3 years after PVP. Older age, lower bone mineral density (BMD), smoking, lack of anti-osteoporosis therapy, and postoperative trauma were risk factors for NVCF. The area under the receiver operating characteristic curve suggested good discrimination of this model: training set (0.781, 95% confidence interval: 0.731-0.831) and validation set (0.786, 95% confidence interval: 0.708-0.863). The calibration curve suggested good prediction accuracy between the actual and predicted probabilities in the training and validation sets. The DCA results suggested that, when the probability thresholds were 0.0452-08394 and 0.0336-0.7262 in the training and validation set, respectively, patients can benefit from using this model to predict NVCF within 3 years after PVP. In conclusion, this nomogram prediction model that included five risk factors (older age, lower BMD, smoking, postoperative minor trauma, and lack of anti-osteoporosis treatment can effectively predict NVCF within 3 years after PVP. Postoperative smoking cessation, standard anti-osteoporosis treatment, and reduction in incidental minor trauma are necessary and effective means of reducing the incidence of NVCF.

Indexed as

Fractures, CompressionNomogramsOsteoporotic FracturesSpinal FracturesVertebroplastyAgedAged, 80 and overBone DensityFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID38771842
PMCPMC11108139

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Registered trials

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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.