ArticleNPJ digital medicine2025
Development of a LASSO dynamic prediction system for interbody cage subsidence following OLIF surgery.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Quantitative CT-Derived Volumetric Bone Mineral Density Threshold for Predicting Cage Subsidence After Oblique Lumbar Interbody Fusion.Tomography (Ann Arbor, Mich.) · 2026Article
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Authors and funding
18 authors.
Funding
Abstract
Cage subsidence after oblique lumbar interbody fusion (OLIF) frequently causes poor outcomes, yet existing predictive models lack accuracy and applicability. This study leveraged the Least Absolute Shrinkage and Selection Operator (LASSO) regression to efficiently identify key predictors of subsidence from quantitative CT vertebral bone quality and endplate-related factors. We analyzed 337 OLIF surgical segments (674 endplates; May 2017-May 2024), observing subsidence in 45.70%. LASSO selected intervertebral disc height correction, intraoperative endplate injury, inferior endplate morphology, and volumetric bone mineral density of the inferior vertebra/endplate as top predictors. These variables informed a multivariable logistic regression model, visualized as a digital nomogram. The model demonstrated excellent predictive performance in training and validation cohorts via ROC, precision-recall, and calibration curves. Decision curve analysis confirmed high clinical utility across risk thresholds, enabling personalized preoperative risk assessment and prevention strategy optimization for OLIF patients.
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Registered trials
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