ArticleGlobal spine journal2024
Machine Learning Prediction Model and Risk Factor Analysis of Reoperation in Recurrent Lumbar Disc Herniation Patients After Percutaneous Endoscopic Lumbar Discectomy.
Article in Global spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2026Pooled it
- Association between Modic changes and recurrence of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a meta-analysis.Frontiers in surgery · 2025Pooled it
- A single-source preoperative prediction model for recurrent lumbar disc herniation after primary discectomy: Development and internal validation in the SPORT registry.North American Spine Society journal · 2026Article
- Comparison of Machine Learning Models for Predicting Recurrent Lumbar Disc Herniation After Percutaneous Endoscopic Lumbar Discectomy.Journal of clinical medicine · 2026Article
- Machine Learning Model for Recurrent Lumbar Disc Herniation after Lumbar Discectomy.Journal of Korean Neurosurgical Society · 2026Article
- Subacute and Chronic Low-Back Pain: From MRI Phenotype to Imaging-Guided Interventions.Diagnostics (Basel, Switzerland) · 2026Review
- Preoperative Clinical and Radiographic Risk Factors for Recurrent Lumbar Disc Herniation: Systematic Review and Meta-analysis.Neurospine · 2026Article
- Development and validation of a nomogram for predicting postoperative recurrent lumbar disc herniation after unilateral biportal endoscopic discectomy.Scientific reports · 2025Article
- Prevalence, risk factors, prediction of robust callus formation and accelerated fracture healing in traumatic brain injury patients: a five-year study.Journal of orthopaedic translation · 2025Article
- A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.International urology and nephrology · 2025Article
- Nomogram for prediction of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery: a retrospective study.Frontiers in surgery · 2025Article
- Rare retroperitoneal hematoma after percutaneous endoscopic lumbar discectomy: a case report and literature review.Frontiers in surgery · 2025Article
- Prediction of In-Hospital Mortality Following Vertebral Fracture Fixation in Patients With Ankylosing Spondylitis or Diffuse Idiopathic Skeletal Hyperostosis: Machine Learning Analysis.International journal of spine surgery · 2024Article
- Association between spinal manipulative therapy and lumbar spine reoperation after discectomy: a retrospective cohort study.BMC musculoskeletal disorders · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designRetrospective, matched case-control study.
objectiveTo investigate the risk factors of reoperation after percutaneous endoscopic lumbar discectomy (PELD) due to recurrent lumbar disc herniation (rLDH) and to establish a set of individualized prediction models.
methodsPatients who underwent PELD successfully from January 2016 to February 2022 in a single institution were enrolled in this study. Six methods of machine learning (ML) were used to establish an individualized prediction model for reoperation in rLDH patients after PELD, and these models were compared with logistics regression model to select optimal model.
resultsA total of 2603 patients were enrolled in this study. 57 patients had repeated operation due to rLDH and 114 patients were selected from the remaining 2546 nonrecurrent patients as matched controls. Multivariate logistic regression analysis showed that disc herniation type (
conclusionThis study showed that disc herniation type (extrusion, sequestration), Modic changes (type II), a large sROM, a large FO and high FI were independent risk factors for reoperation in LDH patients after PELD. The prediction efficiency of XGBoost model was higher than traditional Logistic regression analysis model.
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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.