Evidence map›Paper›PMID 40447829›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2025

Assessing the impact of metabolic syndrome on the accuracy of vertebral bone quality in determining bone mineral density in patients undergoing lumbar fusion surgery.

Xuan Zhao, Wei Wang, Xiaolong Chen, Shibao Lu

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Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

  1. C-VBQ and CT hounsfield units for DXA-defined low bone mass screening and their associations with bone turnover markers.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 · The record

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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

4 authors.

Xuan ZhaoDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, No.45 Changchun Street, Xicheng District, Beijing, China.
Wei WangDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, No.45 Changchun Street, Xicheng District, Beijing, China. 13910604946@163.com.
Xiaolong ChenDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, No.45 Changchun Street, Xicheng District, Beijing, China. xiaolong.chen1@unsw.edu.au.
Shibao LuDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, No.45 Changchun Street, Xicheng District, Beijing, China. spinelu@xwhosp.org.

Funding

Capital's Funds for Health Improvement and Research No. 2024-1-2012Chinese Institutes for Medical Research, Beijing Grant No. CX24PY10National Natural Youth Cultivation Project of Xuanwu Hospital of Capital Medical University QNPY202316Post-subsidy funds for National Clinical Research Center, Ministry of Science and Technology of China No. 303-01-001-0272-05R&D Program of Beijing Municipal Education Commission No. KZ20231002537
6 · The paper itself

Abstract

objectiveExisting evidence indicates that MRI-based vertebral bone quality (VBQ) provides a tool for primary screening of bone density. However, the diagnostic accuracy of this tool is not well understood. The study aims to investigate whether metabolic symptom (MetS) affects the accuracy of VBQ in determining bone mineral density (BMD) in patients undergoing lumbar fusion surgery.

methodsIn this retrospective study, patients with preoperative non-contrast T1-weighted MRI were included. Patients' demographics and medical profiles were identified and analyzed. Patients were separated into two groups according the presence of MetS. Pearson correlation analysis and linear regression were used to analyze the correlation between VBQ and the BMD in different groups. Receiver operating characteristic (ROC) analysis to calculate the area under the curve (AUC) was used to assess diagnostic efficacy.

resultsA total of 536 patients (241 female and 295 male patients) with a mean age of 66.5 ± 5.1 years were included in the final analysis. Sufficient intra- and interobserver reliability were determined for VBQ measures (≥ 0.8). Patients with MetS have higher lumbar BMD T-score and MetS increases the MRI-based VBQ score in patients with normal BMD. However, patients with MetS present higher proportion of history of fragility fracture. The correlation coefficient between VBQ and the lumbar BMD was - 0.42 for patients with MetS and - 0.54 for patients without MetS. VBQ demonstrated statistically significant differences among patients across the two subgroups (p < 0.001). The ROC analysis revealed indicated that there was significant better diagnostic accuracy in determining osteoporosis based on VBQ in patients without MetS than patients with MetS (AUC 0.84 vs. 0.63, p = 0.011).

conclusionsIn the study, we found better performance among patients without MetS and the correlation between VBQ and BMD was stronger in patients without MetS. Interestingly, although higher lumbar T-score, there was significant more patients with a history of fragility fracture in patients with MetS.

Indexed as

Bone DensityLumbar VertebraeMetabolic SyndromeSpinal FusionAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesBone mineral densityDegenerativeLumbarMetabolic symptomVertebral bone quality

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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.