Evidence map›Paper›PMID 41548176›Full record

ArticleSpine deformity2026

Proportion of lumbar end vertebra tilt to overall Cobb angle predicts spontaneous lumbar correction.

Omar Taha, Matthew Weintraub, Mehdi M Elfilali, Erik D Williams, Miles J Bomback, Edwin S Kulubya, Suken A Shah, Peter O Newton, Michael G Vitale, HARMS Study Group and 1 more

Abstract readMulticenter Study
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In one paragraph

Article in Spine deformity, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Omar TahaEast Carolina University Brody School of Medicine, 600 Moye Blvd, Greenville, NC, 27834, USA.
Matthew WeintraubRutgers Health New Jersey Medical School, 185 S Orange Ave, Newark, NJ, 07103, USA.
Mehdi M ElfilaliColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA. mme2145@cumc.columbia.edu.ORCID http://orcid.org/0009-0007-1347-022X
Erik D WilliamsColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA.
Miles J BombackColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA.
Edwin S KulubyaColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA.
Suken A ShahNemours Children's Hospital, 1600 Rockland Rd, Wilmington, DE, 19803, USA.
Peter O NewtonRady Children's Hospital, 3030 Children's Way, San Diego, CA, 92123, USA.
Michael G VitaleColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA.
HARMS Study Group
Benjamin D RoyeColumbia University Irving Medical Center, 622 W 168th St, New York, NY, 10032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSelective thoracic fusion (STF) in adolescent idiopathic scoliosis (AIS) corrects the primary thoracic curve while achieving spontaneous lumbar curve correction (SLCC) and preserving flexibility. This study introduces a novel preoperative radiographic parameter defined as the ratio of the tilt of the upper and lower end vertebrae of the lumbar curve to the corresponding lumbar Cobb angle as a predictor of SLCC.

methodsA multicenter retrospective review identified Lenke 1-4 patients with lumbar modifiers B or C undergoing STF. Radiographic parameters through 2-year follow-up included lumbar Cobb angle, UEV/LEV tilt, lumbar flexibility, and apical translation. LEV:Cobb and UEV:Cobb ratios were calculated by dividing vertebral tilt by preoperative lumbar Cobb. Univariate and multivariate regression assessed predictors of SLCC. Subgroup analyses were performed by lumbar modifier and fusion level relative to the stable vertebra.

results193 patients met inclusions criteria (mean age at time of surgery 15.0 ± 2.0 years, 86% female). Mean preoperative lumbar Cobb was 41.2° ± 7.2, with mean SLCC of 56.8% ± 17.6% at 2 years. In multivariate analysis, lower LEV:Cobb ratio (p = 0.012) and greater lumbar flexibility (p = 0.001) independently predicted higher SLCC; pelvic tilt trended toward significance (p = 0.071). Subgroup analysis showed stronger associations between tilt ratios and SLCC in modifier B curves (UEV:Cobb p = 0.001; LEV:Cobb p = 0.003).

conclusionsLEV:Cobb ratio and lumbar flexibility are independent, preoperative predictors of SLCC in AIS patients undergoing STF. Incorporating these simple metrics into preoperative planning may improve fusion level selection, reduce residual deformity, and enhance postoperative balance. LEVEL OF EVIDENCE: Level IV.

Indexed as

Lumbar VertebraeScoliosisSpinal FusionThoracic VertebraeAdolescentFemaleHumansMaleRadiographyRetrospective StudiesAdolescent idiopathic scoliosis (AIS)LEV:Cobb ratioLumbar flexibilityPre-operative planningSelective thoracic fusion (STF)Spontaneous lumbar curve correction (SLCC)

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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.