Evidence map›Paper›PMID 41587457›Full record

ArticleJournal of neurosurgery. Case lessons2026

Resolution of severe lumbar spinal epidural lipomatosis following tirzepatide-induced weight loss: illustrative case.

Masih Tazhibi, David D Liu, Joshua I Chalif, Rohaid Ali, John H Chi

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Masih TazhibiDepartment of Neurosurgery, Mass General Brigham, Boston.
David D LiuDepartment of Neurosurgery, Mass General Brigham, Boston.
Joshua I ChalifDepartment of Neurosurgery, Mass General Brigham, Boston.ORCID 0000-0003-1769-5120
Rohaid AliDepartment of Neurosurgery, Mass General Brigham, Boston.
John H ChiDepartment of Neurosurgery, Mass General Brigham, Boston.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal epidural lipomatosis (SEL) is a rare disorder characterized by pathological accumulation of adipose tissue in the spinal epidural space, leading to signs and symptoms of lumbar stenosis. SEL is increasingly linked to obesity, and treatment requires surgical decompression if conservative measures fail. The role of modern pharmacological weight-loss agents in reversing SEL has not been previously described. OBSERVATIONS: A 35-year-old man with severe, symptomatic lumbar SEL and class II obesity (BMI 37.8 kg/m) presented with progressive neurogenic claudication and functional decline. MRI revealed multilevel lumbar SEL with severe spinal stenosis. After counseling, the patient initiated tirzepatide therapy and achieved approximately 60 pounds of weight loss within 1 year. This was accompanied by marked symptom resolution and near-complete regression of epidural fat on repeat MRI, negating the need for surgical intervention. LESSONS: This case demonstrates that pharmacological weight loss with agents such as tirzepatide may offer a viable, nonoperative alternative for patients with obesity-related SEL, particularly those who are not ideal surgical candidates. Validation in larger studies is needed to assess long-term efficacy and help guide patient selection for pharmacological versus surgical approaches. https://thejns.org/doi/10.3171/CASE25886.

Indexed as

case reportGLP-1spinal epidural lipomatosisspinetirzepatideweight loss

Identifiers

PMID41587457
PMCPMC12839452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.