Evidence map›Paper›PMID 32211594›Full record

ArticleJOR spine2020

Spinopelvic alignment predicts disc calcification, displacement, and Modic changes: Evidence of an evolutionary etiology for clinically-relevant spinal phenotypes.

Uruj Zehra, Jason P Y Cheung, Cora Bow, Rebecca J Crawford, Keith D K Luk, William Lu, Dino Samartzis

Open access · goldAbstract read
In one paragraph

Article in JOR spine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. The triadic relationship between spinal posture, loading, and degeneration.Frontiers in bioengineering and biotechnology · 2025
    Article
  3. Intradiscal vacuum phenomenon matches lumbar spine degeneration patterns in an ageing population.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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

7 authors at 4 institutions in 4 countries.

Uruj ZehraDepartment of Anatomy University of Health Sciences Lahore Pakistan.ORCID https://orcid.org/0000-0002-3051-4200
Jason P Y CheungDepartment of Orthopaedics and Traumatology The University of Hong Kong Pokfulam Hong Kong.
Cora BowDepartment of Orthopaedics and Traumatology The University of Hong Kong Pokfulam Hong Kong.
Rebecca J CrawfordFaculty of Health Sciences Curtin University Perth Australia.
Keith D K LukDepartment of Orthopaedics and Traumatology The University of Hong Kong Pokfulam Hong Kong.
William LuDepartment of Orthopaedics and Traumatology The University of Hong Kong Pokfulam Hong Kong.
Dino SamartzisDepartment of Orthopaedic Surgery RUSH University Medical Center Chicago Illinois USA.
University of Hong Kong · HKCurtin University · AURush University Medical Center · USUniversity of Health Sciences Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lumbar disc-displacement, Modic changes (MCs), and UTE Disc Sign (UDS) on MRI are clinically relevant spinal phenotypes that can lead to sciatica/LBP. Not all degenerated discs result in disc-displacement, MCs and UDS, suggesting varied etiologies. Spinopelvic parameters have been implicated in various spinal disorders. Pelvic incidence (PI) is "fixed parameter" since skeletal maturity. No study has addressed disc-displacement, MCs and UDS in context of spinopelvic parameters. Therefore, the aim of study was to determine if spinopelvic parameters are associated and predict clinically-relevant MRI-phenotypes. One hundred and eight population-based subjects (mean age: 52.3 years) were recruited. Spondylolisthesis and scoliosis individuals were excluded. Lumbar lordosis (LL), PI, sacral slope (SS), and pelvic tilt (PT) were assessed on lateral plain radiographs. Disc degeneration was assessed and summated, and presence or not of disc-displacement and MCs were noted on T2W MRI. UDS was detected on UTE. Following exclusion criteria, 95 subjects were assessed. Disc-displacement (82.1%), MCs (52.6%), and UDS (37.9%) were associated with lower PI, SS, LL, and LL/PI index. On multivariate analyses, lower PI was significantly related to development of these MRI phenotypes (adjusted OR range:0.95-0.92;

Indexed as

incidencelordosislumbarModicMRIpelvicsacral slopespinopelvic alignmenttiltultra‐shortUTE

Identifiers

PMID32211594
PMCPMC7084054
OpenAlexW3007662257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.