Evidence map›Paper›PMID 42231348›Full record

ArticleJournal of orthopaedic surgery and research2026

Association between lumbar vertebral body bone quality and cranial/caudal endplate bone quality with intervertebral disc degeneration: a retrospective study of 2018 patients.

Wenhua Gong, Shuai Tang, Haixin Wei, Yuanrun Wei, Hao Zhang, Xuexiao Ma

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wenhua GongDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shuai TangDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Haixin WeiDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yuanrun WeiDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Hao ZhangDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. zhanghaospinal1995@163.com.
Xuexiao MaDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. maxuexiaospinal@163.com.

Funding

the Taishan Scholars Program of Shandong Province No. tstp20230664
6 · The paper itself

Abstract

backgroundLumbar disc degeneration and osteoporosis are common degenerative diseases in middle-aged and elderly populations. Although these conditions may be closely related pathophysiologically, their exact comorbidity relationship and underlying mechanisms remain unclear. This study aimed to use imaging indicators to systematically investigate the association between vertebral body bone quality and cranial/caudal endplate bone quality, as well as the severity of lumbar disc degeneration, and to explore the potential clinical value of combined CT-MRI assessment for risk stratification.

methodsThis was a retrospective study including 2018 patients (8072 intervertebral discs and 10,090 vertebral bodies) who underwent both lumbar CT and MRI at our hospital between September 2023 and June 2025. Data collected included age, sex, body mass index (BMI), smoking status, computed tomography (CT)-based vertebral body and endplate attenuation values (Hounsfield Units, HU), magnetic resonance imaging (MRI)-based cranial and caudal Endplate Bone Quality (EBQ) scores, and the degree of disc degeneration assessed according to the Pfirrmann grading system. Patients were divided into mild-to-moderate and severe degeneration groups based on the mean Pfirrmann grade. To comprehensively evaluate the association of various variables with disc degeneration grades, independent-samples t tests, chi-square tests, scatter plots with fitted linear regression lines, and Spearman correlation analyses were performed. Finally, a binary logistic regression model was used to identify independent risk factors.

resultsUnivariate analysis showed that the severity of disc degeneration was significantly associated with sex, age, average vertebral body CT attenuation, and endplate bone quality (P < 0.05). Binary logistic regression further confirmed that female sex (OR = 1.68), advanced age (OR = 1.093), low average vertebral body CT attenuation value (OR = 0.988), and high cranial EBQ score (OR = 1.235) were independently associated with severe disc degeneration. Further subgroup analysis revealed that the correlation between decreased bone quality and degeneration was more pronounced in female patients. Additionally, segmental analysis indicated that the risk factors for degeneration differed across lumbar spine segments.

conclusionThis study found that decreased bone quality of the lumbar vertebral bodies and endplates was significantly associated with the severity of disc degeneration, suggesting a comorbid association between bone quality impairment and disc degeneration, which appeared more pronounced in female patients. Therefore, in clinical practice, the combined assessment of CT-based bone attenuation (HU) and MRI-based endplate bone quality (EBQ) may help identify individuals at high risk for lumbar degenerative diseases and support earlier targeted prevention and management.

Indexed as

Bone DensityIntervertebral Disc DegenerationLumbar VertebraeVertebral BodyAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOsteoporosisRetrospective StudiesSeverity of Illness IndexTomography, X-Ray ComputedCT attenuation valueDisc degenerationEBQ scoreEndplate bone qualityOsteoporosisSex differences

Identifiers

PMID42231348
PMCPMC13445901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.