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European Spine Journal · IF 2.8 · July 30, 2026 · LoE II

“The protective buffer”: Adequate L4-S1 lordosis restoration reduces the symptomatic conversion of radiographic ASD and long-term revision rates — A 5-year multicenter cohort study

Chen Wang, Zhifeng Dong, Jing Jia, GuangYi Zhang, Xirong Fan, Kai Zhang, Wen Xue, Qilong Wang, Zeng Ping Wang, Shuanhu Lei — Gansu University of Traditional Chinese Medicine

MulticenterSpinen = 232
HEAT
44

This retrospective, three-center cohort followed 232 patients who had L4-S1 TLIF for degenerative lumbar disease, comparing those whose surgeons restored 'adequate' segmental lordosis (35-45 degrees) versus those who did not, over a minimum of 5 years. Patients with inadequate lordosis restoration had much higher rates of pelvic retroversion, symptomatic adjacent segment disease, implant failure, and reoperation (26.4% revision vs 2.4% in the adequate group, P<0.001), along with worse pain and disability scores at final follow-up.

AI summary · from the full text · reviewed by Pukhraj Gaheer, Medical Student, Queen's University before publishing

Why it mattersIt suggests that getting L4-S1 lordosis into a specific numeric target at the index TLIF may be one of the biggest levers surgeons have to prevent costly, disabling revision surgery down the road.

Conclusion strengthPotentially practice-changing

Rigor
41
Impact
63

Multivariable adjustment and how many patients this affects, offset by no correction for multiple comparisons.

Presenting this at rounds? Start here

  • ?If a 35-45 degree L4-S1 lordosis target were adopted as a routine intraoperative checkpoint, how should surgeons balance achieving it against added operative time, blood loss, or neural risk from more aggressive releases?
  • ?For patients in whom anatomic constraints (rigid facets, sclerotic endplates) prevent reaching this lordosis target with TLIF, should surgeons instead default to an anterior approach (ALIF/OLIF) to achieve better sagittal correction?
Read the paper at the journal ↗
The summary on this page is AI-generated from the paper and reviewed by Pukhraj Gaheer, Medical Student, Queen's University before publishing. It is not medical advice, and it is not the paper — always read the original before citing it. How this site works.