Evidence map›Paper›PMID 40315610›Full record

SynthesisJournal of neurosurgery. Spine2025

Segmental and overall lumbar lordosis after single-level minimally invasive transforaminal lumbar interbody fusion: a systematic review and meta-analysis.

Justin K Zhang, Salim Yakdan, Saksham Pruthi, Muhammad I Kaleem, Nishtha Chavda, Jiaxi Lu, Kazimir Bagdady, Luke Wegenka, Tom Koch, Matthew ReVeal and 14 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of neurosurgery. Spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Justin K Zhang1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Salim Yakdan2Department of Neurosurgery, Washington University, St. Louis, Missouri.
Saksham Pruthi3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Muhammad I Kaleem2Department of Neurosurgery, Washington University, St. Louis, Missouri.
Nishtha Chavda3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Jiaxi Lu3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Kazimir Bagdady3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Luke Wegenka3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Tom Koch3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Matthew ReVeal3Division of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, Missouri.
Ying Liu4Department of Surgery, Division of Public Health Sciences, Washington University, St. Louis, Missouri; and.
Christopher F Dibble5Department of Neurosurgery, Atrium Health Wake Forest Baptist, Wake Forest, North Carolina.
Jacob K Greenberg2Department of Neurosurgery, Washington University, St. Louis, Missouri.
Saad Javeed2Department of Neurosurgery, Washington University, St. Louis, Missouri.
Forrest A Hamrick1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Spencer Twitchell1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Ken Porche1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Nicholas T Gamboa1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Brandon A Sherrod1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Mark A Mahan1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Erica F Bisson1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Andrew T Dailey1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Marcus D Mazur1Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah.
Wilson Z Ray2Department of Neurosurgery, Washington University, St. Louis, Missouri.

Funding

Using Mobile Health Technology and Real-Time Assessments to Address Multilevel Influences on Lumbar Spine Surgery OutcomesK23AR082986 · NIAMS · WASHINGTON UNIVERSITY · PI JACOB GREENBERG · 2024 to 2026
$515k
NIAMS NIH HHS K23 AR082986
6 · The paper itself

Abstract

objectiveBecause of heterogeneity in previous studies, the effect of minimally invasive transforaminal lumbar interbody fusion (MI-TLIF) on postoperative segmental lordosis (SL) and lumbar lordosis (LL) remains unclear. Given this evidence gap, the authors performed a systematic review and meta-analysis of studies reporting lordotic outcomes after single-level MI-TLIF. The authors also performed a meta-regression to identify preoperative factors associated with lordosis after surgery and assessed correlations between lordotic changes and patient-reported outcomes.

methodsIn this systematic review, PubMed, Medline, CENTRAL, EMBASE, and Scopus were searched for studies describing single-level MI-TLIF for degenerative lumbar etiologies with at least 10 patients. Random-effects meta-analysis was used for data synthesis and I2 was used to assess heterogeneity. Primary outcomes were changes in SL and/or changes in overall LL.

resultsThirty-five studies comprising 1935 patients were included: 23 (66%) retrospective case series, 9 (26%) retrospective, and 3 (9%) prospective cohort studies. Twenty-five (71%) studies evaluated static interbody devices, 5 (14%) expandable devices, and 5 (14%) both device types. Thirty (86%) studies used bilateral pedicle screw fixation, 2 (6%) used unilateral screw fixation, and 3 (9%) included both techniques. The mean (range) sample size was 55 (13-171) patients, mean ± SD age was 59.5 ± 10.6 years, mean ± SD BMI was 26.9 ± 4.6 kg/m2, and mean ± SD (range) length of follow-up was 21.4 ± 4.3 (6.0-63.7) months. On random-effects modeling, patients experienced a significant increase in SL (standardized mean difference [SMD] +2.2°, 95% CI 1.3°-3.1°, p < 0.001) and overall LL (SMD +2.8°, 95% CI 0.8°-4.8°, p < 0.001) at the latest follow-up. On meta-regression, preoperative SL (β = -0.24°, 95% CI -0.42° to -0.05°, p = 0.01) was predictive of a change in SL, whereas preoperative LL (β = -0.53°, 95% CI -0.81° to -0.25°, p = 0.009) and use of an expandable cage (β = 6.56°, 95% CI 1.0°-12.2°, p = 0.02) were predictive of a change in LL. Univariable meta-regression found that greater increases in SL were associated with larger reductions in postoperative leg pain (β = -1.03, 95% CI -1.6 to -0.45, p = 0.003); however, no significant associations were detected between changes in SL or LL and other clinical outcomes in either univariable or multivariable analyses.

conclusionsDespite the significant heterogeneity among the included studies, these results suggest that single-level MI-TLIF is generally lordosis preserving, with preoperative alignment and interbody device type as possible predictors of postoperative lordosis.

Indexed as

LordosisLumbar VertebraeMinimally Invasive Surgical ProceduresSpinal FusionHumansTreatment Outcomedegenerativelumbar lordosisminimally invasivesegmental lordosisspondylolisthesistransforaminal lumbar interbody fusion

Identifiers

PMID40315610
PMCPMC13224108

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Registered trials

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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.