Evidence map›Paper›PMID 42158043›Full record

ArticleFrontiers in radiology2026

A preoperative nomogram for predicting 2-year postoperative recurrence after percutaneous transforaminal endoscopic decompression in degenerative lumbar spinal stenosis.

Xinyi Luo, Yiwen Wang, Lele Xue, Qi Liu, Yue Yang, Qin Zhang, Shiwu Yin

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Article in Frontiers in radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Xinyi LuoAnhui Medical University, Hefei, China.
Yiwen WangDepartment of Interventional Vascular Pain, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Lele XueDepartment of Interventional Vascular Pain, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Qi LiuDepartment of Interventional Vascular Pain, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Yue YangDepartment of Interventional Vascular Pain, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Qin ZhangDepartment of Interventional Vascular Pain, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Shiwu YinAnhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Postoperative recurrence after percutaneous transforaminal endoscopic decompression (PTED) for degenerative lumbar spinal stenosis (DLSS) remains a clinically relevant challenge, complicating preoperative counseling and long-term management. Reliable tools for predicting individual 2-year recurrence risk using routinely available preoperative data are currently lacking. This study aimed to develop and internally validate a practical preoperative nomogram for individualized recurrence risk prediction after PTED. Methods: We conducted a retrospective cohort study including 206 patients with DLSS who underwent single-level PTED between August 2021 and August 2023. Preoperative clinical and imaging variables were extracted to construct a multivariable logistic regression model. Candidate predictors were prespecified based on clinical relevance and routine availability. Model performance was evaluated in terms of discrimination, calibration, and clinical utility. Internal validation was performed using 1000 bootstrap resamples and leave-one-out cross-validation (LOOCV). Results: During the 2-year follow-up period, 29 patients (14.08%) experienced postoperative recurrence. The final nomogram incorporated five preoperative predictors: body mass index, diabetes mellitus, lumbosacral transitional vertebrae, number of levels with senior grade facet degeneration, and paraspinal skeletal muscle index. The model showed good discrimination, with an area under the receiver operating characteristic curve (AUC) of 0.845 (95% CI, 0.778-0.912). Bootstrap validation showed a mean AUC of 0.842 (95% CI, 0.772-0.912), and LOOCV yielded an AUC of 0.797 (95% CI, 0.716-0.878). Calibration was satisfactory, and decision curve analysis demonstrated net clinical benefit across a wide range of threshold probabilities. Conclusions: We developed a clinically interpretable preoperative nomogram that reliably predicts 2-year postoperative recurrence after PTED in patients with DLSS. By integrating routinely assessed clinical and imaging factors, this tool may facilitate individualized risk stratification, support informed preoperative counseling, and guide risk-adapted perioperative management. External validation in independent cohorts is warranted.

Indexed as

clinical prediction modeldegenerative lumbar spinal stenosisnomogrampercutaneous transforaminal endoscopic decompressionpostoperative recurrencerisk stratification

Identifiers

PMID42158043
PMCPMC13180853

What Socratic holds

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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 Socratic graph.