ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Analysis of the Relationship Between Modic Change and Spinopelvic Parameters in the Sagittal Plane.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- The triadic relationship between spinal posture, loading, and degeneration.Frontiers in bioengineering and biotechnology · 2025Article
- The role of pelvic coronal parameters in determining sagittal balance: a prospective radiographic analysis of pelvic spinopelvic alignment in Chinese asymptomatic Han adolescents.Frontiers in pediatrics · 2025Article
- Article
- Study and analysis of the correlation between lumbar spondylolisthesis and Modic changes.Frontiers in surgery · 2024Article
- Correlation of Modic Changes with Sagittal Lumbopelvic Parameters.Journal of pain research · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND This study explored relationship between Modic change and spinopelvic parameters in the sagittal plane. MATERIAL AND METHODS We divided 80 patients into 4 groups: 60 subjects diagnosed with Modic changes (MC) were enrolled in the MC groups (MC1, MC2, and MC3) with each MC type consisting of 20 subjects, and 60 healthy subjects were enrolled in the control group. Spinopelvic parameters in the sagittal plane were calculated to assess their associations with MC. Multivariate logistic regression was used to explore possible risk factors for MC. RESULTS PI and LL in the MC groups were significant smaller than in the control group (p<0.05). PI, SS, and PT were significantly correlated with LL with a correlation coefficient of 0.75PI, 0.71SS and 0.69PT (p<0.05). Multivariate logistic regression of the significant variables showed that PI (less than 43.2°) is an independent significant risk factor for MC. ROC analysis showed that moderate diagnostic value was obtained for the significant variable, with an area under the curve (AUC) of 0.80 (p>0.05). CONCLUSIONS We concluded that PI is risk factor for MC, and smaller PI is associated with higher incidence of MC.
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