Evidence map›Paper›PMID 41341121›Full record

ArticleInterventional pain medicine2025

Rates of lumbar vertebral body compression fracture after basivertebral nerve ablation: A retrospective study utilizing a large national database.

Justin Chau, Durga Ghosh, Sean Fox, Ayahiro D Takashima, Andrew Stephens

Abstract read
In one paragraph

Article in Interventional pain medicine, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Justin ChauDepartment of Orthopaedic Surgery, Stanford University, 450 Broadway St., Pavilion C; 4th Floor, MC 6342, Redwood City, CA, 94063, USA.
Durga GhoshDepartment of Orthopaedic Surgery, Stanford University, 450 Broadway St., Pavilion C; 4th Floor, MC 6342, Redwood City, CA, 94063, USA.
Sean FoxDepartment of Orthopaedic Surgery, Stanford University, 450 Broadway St., Pavilion C; 4th Floor, MC 6342, Redwood City, CA, 94063, USA.
Ayahiro D TakashimaEmory University School of Medicine, 100 Woodruff Circle, Atlanta, GA, 30322, USA.
Andrew StephensDepartment of Orthopaedic Surgery, Stanford University, 450 Broadway St., Pavilion C; 4th Floor, MC 6342, Redwood City, CA, 94063, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Basivertebral nerve ablation (BVNA) is an effective treatment for vertebrogenic chronic low back pain. However, data regarding rates of post-BVNA lumbar vertebral compression fracture (VCF), particularly among patients with osteoporosis or osteopenia, remains limited. Objective: (1) Estimate the rate of lumbar VCF after BVNA. (2) Compare rates between patients with and without a pre-BVNA diagnosis of osteopenia/osteoporosis utilizing a large global database. Methods: A retrospective cohort study was performed using TriNetX, a national database of de-identified health records from over 130 million patients. Adults (≥18 years) who underwent BVNA between January 2022 and August 2025 were identified via CPT code. Patients were stratified by presence or absence of ICD-10 code for osteoporosis/osteopenia before undergoing BVNA. The primary outcome was incidence of ICD-10 code diagnosis of lumbar VCF after undergoing BVNA. Results: A total of 2387 patients underwent BVNA (mean age 63.7 years; 48.0 % female). Of these, 669 had a pre-BVNA diagnosis of osteoporosis/osteopenia (mean age 70.2 ± 10.7 years; 64.4 % female). Lumbar VCF occurred in 37 patients (1.55 %; 95 % CI, 1.11-2.16 %) after BVNA. Patients with osteoporosis/osteopenia had higher rate of post-BVNA lumbar VCF compared to those without (4.64 % vs 0.37 %), though rates of post-BVNA lumbar VCF were overall low across all patients (1.55 %). Osteoporosis/osteopenia was independently associated with post-BVNA VCF (adjusted OR 6.5; 95 % CI, 3.7-12.3; p < 0.001). Conclusion: While patients with pre-BVNA ICD-10 code diagnosis of osteoporosis/osteopenia had higher rates and were at higher risk of post-BVNA VCF than those without, overall rates were still low. Risk of VCF should be considered and risks/benefits should be discussed with patients, but a diagnosis of osteoporosis/osteopenia should not be considered an absolute contraindication to BVNA.

Indexed as

Basivertebral nerve ablationOsteopeniaOsteoporosisVertebral compression fracture

Identifiers

PMID41341121
PMCPMC12670547

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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.