Evidence map›Paper›PMID 34116683›Full record

ArticleJournal of orthopaedic surgery and research2021

Logistic regression analysis on risk factors of augmented vertebra recompression after percutaneous vertebral augmentation.

Zhongcheng An, Chen Chen, Junjie Wang, Yuchen Zhu, Liqiang Dong, Hao Wei, Lianguo Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Risk factors for adjacent vertebral fracture after kyphoplasty or percutaneous vertebroplasty in osteoporotic vertebral systematic review and meta-analysis compression fractures.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
  2. Pooled it
  3. Incidence and risk factors of subsequent vertebral fracture following percutaneous vertebral augmentation in postmenopausal women.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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  4. Role of SEuropean 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. Prognostic nutritional index and modified frailty index, independent risk factors for recompression in elderly patients with osteoporotic vertebral compression fractures.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 · 2024
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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

7 authors at 1 institution in 1 country.

Zhongcheng An *Department of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Chen Chen *Department of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Junjie WangDepartment of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Yuchen ZhuDepartment of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Liqiang DongDepartment of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China. dlq58@126.com.
Hao WeiDepartment of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Lianguo WuDepartment of Spinal Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, Zhejiang, People's Republic of China.
Zhejiang Chinese Medical University · CN

Funding

Zhejiang Traditional Chinese Medicine Administration 2021ZX009
6 · The paper itself

Abstract

objectiveTo explore the high-risk factors of augmented vertebra recompression after percutaneous vertebral augmentation (PVA) in the treatment of osteoporotic vertebral compression fracture (OVCF) and analyze the correlation between these factors and augmented vertebra recompression after PVA.

methodsA retrospective analysis was conducted on 353 patients who received PVA for a single-segment osteoporotic vertebral compression fracture from January 2017 to December 2018 in our department according to the inclusion criteria. All cases meeting the inclusion and exclusion criteria were divided into two groups: 82 patients in the recompression group and 175 patients in the non-compression group. The following covariates were reviewed: age, gender, body mass index (BMI), injured vertebral segment, bone mineral density (BMD) during follow-up, intravertebral cleft (IVC) before operation, selection of surgical methods, unilateral or bilateral puncture, volume of bone cement injected, postoperative leakage of bone cement, distribution of bone cement, contact between the bone cement and the upper or lower endplates, and anterior height of injured vertebrae before operation, after surgery, and at the last follow-up. Univariate analysis was performed on these factors, and the statistically significant factors were substituted into the logistic regression model to analyze their correlation with the augmented vertebra recompression after PVA.

resultsA total of 257 patients from 353 patients were included in this study. The follow-up time was 12-24 months, with an average of 13.5 ± 0.9 months. All the operations were successfully completed, and the pain of patients was relieved obviously after PVA. Univariate analysis showed that in the early stage after PVA, the augmented vertebra recompression was correlated with BMD, surgical methods, volume of bone cement injected, preoperative IVC, contact between bone cement and the upper or lower endplates, and recovery of anterior column height. The difference was statistically significant (P < 0.05). Among them, multiple factors logistic regression elucidated that more injected cement (P < 0.001, OR = 0.558) and high BMD (P = 0.028, OR = 0.583) were negatively correlated with the augmented vertebra recompression after PVA, which meant protective factors (B < 0). Preoperative IVC (P < 0.001, OR = 3.252) and bone cement not in contact with upper or lower endplates (P = 0.006, OR = 2.504) were risk factors for the augmented vertebra recompression after PVA. The augmented vertebra recompression after PVP was significantly less than that of PKP (P = 0.007, OR = 0.337).

conclusionsThe augmented vertebra recompression after PVA is due to the interaction of various factors, such as surgical methods, volume of bone cement injected, osteoporosis, preoperative IVC, and whether the bone cement is in contact with the upper or lower endplates.

Indexed as

AgedAged, 80 and overBiosimilar PharmaceuticalsBone CementsBone DensityFemaleFractures, CompressionFractures, SpontaneousHumansLogistic ModelsMaleMiddle AgedOsteoporosisRecurrenceRetrospective StudiesRisk FactorsBiosimilar PharmaceuticalsBone CementsAugmented vertebra recompressionLogistic regression analysisOsteoporotic vertebral compression fracturePercutaneous vertebral augmentationRisk factors

Identifiers

PMID34116683
PMCPMC8194186
OpenAlexW3155560067

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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.