Development and validation of a predictive nomogram for cage migration after posterior lumbar interbody fusion: a retrospective study of 517 patients - Summary - MDSpire

Development and validation of a predictive nomogram for cage migration after posterior lumbar interbody fusion: a retrospective study of 517 patients

  • By

  • Yuan Ma

  • Jianji Chen

  • Hongzhen Li

  • Yuqiao Li

  • Yuejiao Zhang

  • Lixin Tang

  • May 15, 2026

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Objective:

To identify risk factors associated with cage migration (CM) after posterior lumbar interbody fusion (PLIF) and develop a predictive nomogram to enhance surgical outcomes.

Key Findings:
  • The overall prevalence of CM was 8.9%.
  • Independent risk factors for CM included osteoporosis (OR = 4.186), spondylolisthesis (OR = 8.199), Modic type I change (OR = 8.279), PI-LL mismatch (OR = 1.306), and preoperative hemoglobin levels (OR = 0.822).
  • The nomogram demonstrated strong discrimination (AUC=0.874) and good calibration.
Interpretation:

The nomogram can assist healthcare professionals in preoperative risk assessment and tailored surgical planning for patients undergoing PLIF.

Limitations:
  • The study was retrospective and conducted at a single institution, which may limit generalizability and introduce biases in data collection and patient selection.
Conclusion:

The developed nomogram provides a valuable tool for predicting CM risk, potentially improving surgical outcomes in PLIF procedures and aiding in tailored surgical planning.

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