Evidence map›Paper›PMID 41993149›Full record

ArticleJOR spine2026

Larger Lumbar Vertebral Body Osteophyte Volume Is Associated With Older Age and a More Caudal Vertebral Level in Individuals With Chronic Low Back Pain.

Clarissa LeVasseur, Sabreen Megherhi, Matthew Mesoros, Gina McKernan, Richard Warwose, William Donaldson, Joon Y Lee, Gwendolyn Sowa, William Anderst

Abstract read
In one paragraph

Article in JOR spine, 2026. 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

9 authors.

Clarissa LeVasseurDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.
Sabreen MegherhiDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.
Matthew MesorosDepartment of Physical Medicine and Rehabilitation University of Pittsburgh Pittsburgh Pennsylvania USA.
Gina McKernanDepartment of Physical Medicine and Rehabilitation University of Pittsburgh Pittsburgh Pennsylvania USA.
Richard WarwoseDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.
William DonaldsonDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.
Joon Y LeeDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.
Gwendolyn SowaBethel Musculoskeletal Research Center University of Pittsburgh Pittsburgh Pennsylvania USA.
William AnderstDepartment of Orthopaedic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0002-0535-0953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic low back pain (cLBP) is often accompanied by changes in lumbar spine bony morphology, including osteophyte growth. Knowledge of the volume and location of osteophytes could provide insight into habitual loading that may induce symptomatic disc degeneration and serve to guide treatment. The aim of this study was to develop an automated method to calculate osteophyte volume in lumbar vertebral bodies and to evaluate the relationships between osteophyte volume and vertebral level, age, and sex. Methods: Patients with cLBP received computed tomography (CT) scans of their entire lumbar spine. Lumbar bone models were created from the segmented CT scans. A Procrustes-based registration algorithm transformed vertebral bodies from a reference library of bones with no osteophytes to match the patient's vertebral bodies. The best-matched reference bone was then subtracted from the original bone to create a model of the osteophytes. Osteophyte volume and location were calculated from the model, and associations were explored between osteophyte volume, vertebral level, sex, and age. Regional differences in osteophyte volume were also evaluated. Results: The osteophyte identification algorithm was validated to have a bias of -4.7 mm Conclusions: Osteophyte volume increased with more caudal vertebrae, was greater in men than in women, and increased by approximately 40 mm

Indexed as

chronic low back painlumbar spineosteophytesvolume

Identifiers

PMID41993149
PMCPMC13082879

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.